For those of us in the tech sector, jet travel is part of the deal. It can be time consuming and mind numbing. Everybody seems to have a few tricks up their sleeves to make their own trips more manageable. Some share tips with their friends. CTP’s own Robert Christiansen, a Doppler podcast co-host, goes a step farther: He’s interviewed dozens of travelers and packed years’ worth of insights into a book he’s calling “The Zen of High-Performance Travel.” Our panelists chat about some of Robert’s travel do’s and don’ts, as well as our own. Like this one: Do you know which cluster of seats is the most likely to have an empty seat next to them? Answer: The aisle and window seats in the exit row in the middle of the plane. (The row’s middle seat doesn’t recline, and who wants to sit there?) We talk about things like storing an extra flight bag in your vehicle, keeping your cool during delays, getting dropped off at “Arrivals” when you’re leaving during busy times, and always making sure to pack those food supplements. Things to consider when you’re spending time in the puffy kind of clouds.

For those of us in the tech sector, jet travel is part of the deal. It can be time consuming and mind numbing. Everybody seems to have a few tricks up their sleeves to make their own trips more manageable. Some share tips with their friends. CTP’s own Robert Christiansen, a Doppler podcast co-host, goes a step farther: He’s interviewed dozens of travelers and packed years’ worth of insights into a book he’s calling “The Zen of High-Performance Travel.” Our panelists chat about some of Robert’s travel do’s and don’ts, as well as our own. Like this one: Do you know which cluster of seats is the most likely to have an empty seat next to them? Answer: The aisle and window seats in the exit row in the middle of the plane. (The row’s middle seat doesn’t recline, and who wants to sit there?) We talk about things like storing an extra flight bag in your vehicle, keeping your cool during delays, getting dropped off at “Arrivals” when you’re leaving during busy times, and always making sure to pack those food supplements. Things to consider when you’re spending time in the puffy kind of clouds.

Tapping into ‘The Zen of High-Performance Travel’

DevOps has come a long way in the past decade. In a report released more than a year ago, Forrester declared that the practice had reached “escape velocity,” with more than half of all enterprises implementing and expanding DevOps processes. But, according to some in the field, gaps still exist between the dev and the ops sides of most organizations. We talk with Brad about why the two sides remain at odds and how companies are struggling to create a delivery infrastructure that balances agility and control. We discuss how people – not tools – remain the biggest obstacles to companies’ drives to achieve DevOps “nirvana.” We also cover a wide range of other topics – including IT teams’ propensity to force tools to perform tasks they’re not cut out for and young professionals from outside of computer science spending more time learning to code.

DevOps has come a long way in the past decade. In a report released more than a year ago, Forrester declared that the practice had reached “escape velocity,” with more than half of all enterprises implementing and expanding DevOps processes. But, according to some in the field, gaps still exist between the dev and the ops sides of most organizations. We talk with Brad about why the two sides remain at odds and how companies are struggling to create a delivery infrastructure that balances agility and control. We discuss how people – not tools – remain the biggest obstacles to companies’ drives to achieve DevOps “nirvana.” We also cover a wide range of other topics – including IT teams’ propensity to force tools to perform tasks they’re not cut out for and young professionals from outside of computer science spending more time learning to code.

Dev and Ops are Still Far Apart

Over the past 10 years, the power structure has shifted inside IT organizations. Maintaining the infrastructure used to be the top priority, so infrastructure teams tended to control more resources and command more respect than their counterparts overseeing applications. Today, that equation has flipped. Businesses need to move faster, so they’ve elevated application teams to star status. We discuss the implications of this power shift. Instead of reacting, app teams now are dictating the requirements of organizational initiatives – choosing resources, deciding which platforms they want to use. This has forced organizations to approach security differently and get used to technologies like containers. We also talk about mistakes organizations make when it comes to cloud security – including relying too much on the cloud vendor and forcing an on-premise security tool do the same thing in the cloud. Finally, we explore some guiding principles organizations use to help development and security teams work better together – to show how security isn’t the enemy of progress.

Over the past 10 years, the power structure has shifted inside IT organizations. Maintaining the infrastructure used to be the top priority, so infrastructure teams tended to control more resources and command more respect than their counterparts overseeing applications. Today, that equation has flipped. Businesses need to move faster, so they’ve elevated application teams to star status. We discuss the implications of this power shift. Instead of reacting, app teams now are dictating the requirements of organizational initiatives – choosing resources, deciding which platforms they want to use. This has forced organizations to approach security differently and get used to technologies like containers. We also talk about mistakes organizations make when it comes to cloud security – including relying too much on the cloud vendor and forcing an on-premise security tool do the same thing in the cloud. Finally, we explore some guiding principles organizations use to help development and security teams work better together – to show how security isn’t the enemy of progress.

Why Application Teams Have All the Power

Software developers are a prideful group. They like to create things, figure out their own short cuts and come up with new ways to innovate on the fly. But sometimes, developers’ inner creativity can be the biggest thing holding them back. There are still times when relying on tried and tested tools can help get a project done more quickly and more efficiently. We discuss how developers can optimize their own work by identifying a few key value-adds and admitting that, for many other tasks like observability and log-ins, outside vendors have better tools to get the job done. Shawn sums it up by saying we need to admit that “we’re entering the golden age of the SaaS product.” We also talk about microservices – how The New York Times has committed to the practice in a big way, and how many in the organization are confused about how they work. Finally, we explore the challenges of having to comply with a long list of regulations in a multi-cloud environment and Shawn’s observation that, after the introduction of containers, we’re “still waiting for the next game changer.”

Software developers are a prideful group. They like to create things, figure out their own short cuts and come up with new ways to innovate on the fly. But sometimes, developers’ inner creativity can be the biggest thing holding them back. There are still times when relying on tried and tested tools can help get a project done more quickly and more efficiently. We discuss how developers can optimize their own work by identifying a few key value-adds and admitting that, for many other tasks like observability and log-ins, outside vendors have better tools to get the job done. Shawn sums it up by saying we need to admit that “we’re entering the golden age of the SaaS product.” We also talk about microservices – how The New York Times has committed to the practice in a big way, and how many in the organization are confused about how they work. Finally, we explore the challenges of having to comply with a long list of regulations in a multi-cloud environment and Shawn’s observation that, after the introduction of containers, we’re “still waiting for the next game changer.”

The Golden Age of the SaaS Product

Microservices have become a popular software development technique in recent years. Breaking down applications into distinct sets of loosely coupled smaller services helps organizations port workloads from cloud to cloud and get better utilization out of the resources they’re paying for. But there are challenges associated with the practice, starting with security. Microservices can make security much more costly – if you’re not careful. We discuss why microservices put such a heavy load on verifications of credentials and make it harder to manage access to specific services. We go through some solutions companies can pursue to mitigate the impact of having to verify identities for so many tiny jobs. One way is to shift to security tokens that have fixed or limited lifetimes. We also talk about tasks organizations continue to struggle with as they ramp up their cloud projects. Some aren’t going “cloud native” enough, sticking with on-premises resources rather than leveraging the cloud services that are available. Others are taking too long to embrace automation. Finally, our panel shares some thoughts about tech trends people might talk about in the coming year – everything from more strategic use of AI and ML to GDPR enforcements that push enterprises to pay closer attention to privacy rules.

Microservices have become a popular software development technique in recent years. Breaking down applications into distinct sets of loosely coupled smaller services helps organizations port workloads from cloud to cloud and get better utilization out of the resources they’re paying for. But there are challenges associated with the practice, starting with security. Microservices can make security much more costly – if you’re not careful. We discuss why microservices put such a heavy load on verifications of credentials and make it harder to manage access to specific services. We go through some solutions companies can pursue to mitigate the impact of having to verify identities for so many tiny jobs. One way is to shift to security tokens that have fixed or limited lifetimes. We also talk about tasks organizations continue to struggle with as they ramp up their cloud projects. Some aren’t going “cloud native” enough, sticking with on-premises resources rather than leveraging the cloud services that are available. Others are taking too long to embrace automation. Finally, our panel shares some thoughts about tech trends people might talk about in the coming year – everything from more strategic use of AI and ML to GDPR enforcements that push enterprises to pay closer attention to privacy rules.

Challenges Enterprises Face Adopting Microservices

We’ve been through several major technology paradigm shifts – from mainframe to client server to internet to, now, cloud. Cloud has given people the opportunity to refactor applications, which means different things to different people: From a minor change, akin to a chef adjusting ingredients in a seasoning, to a major shift like heart surgery. Refactoring provides the opportunity to think about how to get the most effective operations out of that application in the cloud, whether in terms of cost, disaster recovery, legal, security, or user experience. We also discuss how with Outpost, Azure Stack and Google Cloud’s new announcement of Anthos, there is a shift from public cloud vendors no longer focusing on moving everything to the public cloud, but rather on figuring out how organizations can most effectively run their business. We explain the three major reasons why organizations might not want to leverage public cloud: Jurisdiction of apps living within certain boundaries; increasing disconnected use models and difficulty with connectivity to public clouds; and, finally, application debt combined with data gravity and latency requirements. Finally, we offer advice on how to build the best cloud talent, including picking a few areas to maintain expertise in, staying on top of the latest industry developments, and always staying curious.

We’ve been through several major technology paradigm shifts – from mainframe to client server to internet to, now, cloud. Cloud has given people the opportunity to refactor applications, which means different things to different people: From a minor change, akin to a chef adjusting ingredients in a seasoning, to a major shift like heart surgery. Refactoring provides the opportunity to think about how to get the most effective operations out of that application in the cloud, whether in terms of cost, disaster recovery, legal, security, or user experience. We also discuss how with Outpost, Azure Stack and Google Cloud’s new announcement of Anthos, there is a shift from public cloud vendors no longer focusing on moving everything to the public cloud, but rather on figuring out how organizations can most effectively run their business. We explain the three major reasons why organizations might not want to leverage public cloud: Jurisdiction of apps living within certain boundaries; increasing disconnected use models and difficulty with connectivity to public clouds; and, finally, application debt combined with data gravity and latency requirements. Finally, we offer advice on how to build the best cloud talent, including picking a few areas to maintain expertise in, staying on top of the latest industry developments, and always staying curious.

Best Practices for Refactoring Applications in the Cloud

It’s a brave new world when it comes to data privacy and security, as companies work to comply with regulations such as the California Consumer Privacy Act and GDPR. No matter the size of the company or where they fall on the compliance spectrum, technology and culture change are both critical drivers of success. We discuss how to overcome “anti-patterns”: the often-repeated mistakes that stand in the way of cloud migration. For example, rather than an app-centric approach, data-centric security is key to being able to leverage the benefits of the cloud. This provides your data scientists with unprecedented access to your data, and ensures consistent security and privacy policies across all data no matter where it lives with a central understanding of policy enforcement. Finally, we discuss the changing landscape of privacy regulations. We offer helpful resources and tips for those who are just starting out with learning about privacy and compliance. 

It’s a brave new world when it comes to data privacy and security, as companies work to comply with regulations such as the California Consumer Privacy Act and GDPR. No matter the size of the company or where they fall on the compliance spectrum, technology and culture change are both critical drivers of success. We discuss how to overcome “anti-patterns”: the often-repeated mistakes that stand in the way of cloud migration. For example, rather than an app-centric approach, data-centric security is key to being able to leverage the benefits of the cloud. This provides your data scientists with unprecedented access to your data, and ensures consistent security and privacy policies across all data no matter where it lives with a central understanding of policy enforcement. Finally, we discuss the changing landscape of privacy regulations. We offer helpful resources and tips for those who are just starting out with learning about privacy and compliance.

Avoiding the “Anti-pattern” Swamp with Data Privacy and Security

Securing applications in a hybrid world can be a challenge. Companies that try to control threat vectors across cloud platforms and infrastructure environments with the same set of tools often run into trouble. We discuss how containers and serverless platforms are starting to solve some of these security challenges – how their shared responsibility models work and how they interact with technologies like artificial intelligence and machine learning. We touch on the prospects for – and challenges facing – Oracle, IBM and Alibaba cloud platforms. We also talk about issues companies face rewriting entrenched legacy applications, migrating large applications and applying the right skillsets to projects requiring intelligent orchestration.

Securing applications in a hybrid world can be a challenge. Companies that try to control threat vectors across cloud platforms and infrastructure environments with the same set of tools often run into trouble. We discuss how containers and serverless platforms are starting to solve some of these security challenges – how their shared responsibility models work and how they interact with technologies like artificial intelligence and machine learning. We touch on the prospects for – and challenges facing – Oracle, IBM and Alibaba cloud platforms. We also talk about issues companies face rewriting entrenched legacy applications, migrating large applications and applying the right skillsets to projects requiring intelligent orchestration.

Securing Applications Across Hybrid Environments

How do you get the most out of your cloud investment? We discuss how Densify uses machine learning analytics to help customers optimize utilization and cloud billing. One direct path to optimization is to “practice basic hygiene.” Andrew discusses how developers’ concerns about resource constrictions leads them to over-order and purchase mismatched solutions. Understanding usage patterns, linkages between services and organizations’ evolving needs can help developers buy more strategically and keep bills under control. We also talked with Andrew about his journey to cloud consulting, lessons he learns from customers and his tips for working with the two principal wardrobe personas in tech – the “suits” and the “skinny jeans.”

How do you get the most out of your cloud investment? We discuss how Densify uses machine learning analytics to help customers optimize utilization and cloud billing. One direct path to optimization is to “practice basic hygiene.” Andrew discusses how developers’ concerns about resource constrictions leads them to over-order and purchase mismatched solutions. Understanding usage patterns, linkages between services and organizations’ evolving needs can help developers buy more strategically and keep bills under control. We also talked with Andrew about his journey to cloud consulting, lessons he learns from customers and his tips for working with the two principal wardrobe personas in tech – the “suits” and the “skinny jeans.”

Getting Your Cloud Infrastructure to Work for You

What does “cloud native” really mean? Ask different organizations, or even different business units, and you’ll get hugely disparate answers. The fact is, there is no one answer and there’s no manual for cloud computing, which can make it difficult for seasoned executive to grasp the new technology ecosystem that has evolved in recent years. We discuss how edge computing is evolving as organizations become more decentralized, and talk about best practices for how organizations can remain effective – for example, by adding redundancy, sharing knowledge with peers, and remembering security principles even when working quickly. We explain that the concept of Zero Trust is critical to managing threats. Finally, we offer tips for how to stay current in this evolving landscape, by staying up to speed on the industry, seeking insights from industry peers and customers, and paying it forward to others.

What does “cloud native” really mean? Ask different organizations, or even different business units, and you’ll get hugely disparate answers. The fact is, there is no one answer and there’s no manual for cloud computing, which can make it difficult for seasoned executive to grasp the new technology ecosystem that has evolved in recent years. We discuss how edge computing is evolving as organizations become more decentralized, and talk about best practices for how organizations can remain effective – for example, by adding redundancy, sharing knowledge with peers, and remembering security principles even when working quickly. We explain that the concept of Zero Trust is critical to managing threats. Finally, we offer tips for how to stay current in this evolving landscape, by staying up to speed on the industry, seeking insights from industry peers and customers, and paying it forward to others.

Cloud-Native Doesn't Have One Definition

The Doppler podcasts cover all things cloud while focusing on how to prepare the traditional enterprise to look beyond conventional computing.  Thought leaders discuss best practices, industry trends, and cloud news with expert guests to provide you with the advice you need to be successful in the cloud.

Dave is a real podcast pro. Always learn something new about what&#39;s happening in cloud.

All Things Cloud

THE DOPPLER

Our guest on the podcast this week is Jim Ford, Chief Strategic Architect at ADP. We discuss Docker adoption, DevOps, and security for a company as big as ADP with over 630,000 customers, 35 million users in 100 countries, and 55 million stored social security numbers. We see how DevOps processes and security is never a completed initiative and can always be improved. We also see how DevOps at ADP varies significantly across projects and seems to mold to the team using it.

Our guest on the podcast this week is <a href="https://twitter.com/zehicle" rel="nofollow" target="_blank">Jim Ford</a>, Chief Strategic Architect at <a href="https://twitter.com/ADP" rel="nofollow" target="_blank">ADP.</a> We discuss Docker adoption, DevOps, and security for a company as big as ADP with over 630,000 customers, 35 million users in 100 countries, and 55 million stored social security numbers. We see how DevOps processes and security is never a completed initiative and can always be improved. We also see how DevOps at ADP varies significantly across projects and seems to mold to the team using it.

Security and DevOps are Never 100% Done

Our guest on the podcast this week is Lori MacVittie, Principal Tech Evangelist at F5 Networks. We discuss what it’s been like tracking cloud computing trends for the past ten years. We look at public cloud. Are we leveling out on features and functions to stuff into public cloud? At some point, pricing wars with public cloud providers will end. Providers will need to differentiate fast. It will be interesting to see if AWS continues to be a leader with many followers or if each provider finds its niche. We also look at top predictions for cloud computing in 2018.

Our guest on the podcast this week is <a href="https://twitter.com/lmacvittie" rel="noopener nofollow" target="_blank">Lori MacVittie</a>, Principal Tech Evangelist at <a href="https://f5.com/" rel="noopener nofollow" target="_blank">F5 Networks</a>. We discuss what it’s been like tracking cloud computing trends for the past ten years. We look at public cloud. Are we leveling out on features and functions to stuff into public cloud? At some point, pricing wars with public cloud providers will end. Providers will need to differentiate fast. It will be interesting to see if AWS continues to be a leader with many followers or if each provider finds its niche. We also look at top predictions for cloud computing in 2018.

Public Cloud Computing Gets Real

Our guest on the podcast this week is Matthew Lodge, Chief Operating Officer at Weaveworks. We discuss how speed triumphs over size when competing as a disruptor, which is why microservices and containers are increasingly important to allow companies to keep up. A focus on small, dispersed teams changes the landscape of cloud computing. With many new companies entering the microservices market, we anticipate future trends for the next few years from mergers and acquisitions to IPOs.

Our guest on the podcast this week is <a href="https://twitter.com/mathewlodge" rel="nofollow" target="_blank">Matthew Lodge</a>, Chief Operating Officer at <a href="https://twitter.com/weaveworks" rel="nofollow" target="_blank">Weaveworks.</a> We discuss how speed triumphs over size when competing as a disruptor, which is why microservices and containers are increasingly important to allow companies to keep up. A focus on small, dispersed teams changes the landscape of cloud computing. With many new companies entering the microservices market, we anticipate future trends for the next few years from mergers and acquisitions to IPOs.

The Best Way to Compete with Disruptors? Speed up Your Delivery.

Our guest on the podcast this week is James Markarian, CTO at SnapLogic. Data integration is going through a Renaissance at the moment just like application integration did a few years ago. The primary driver for these changes is the movement to the cloud. When you turn back the clock, application integrations used to be simple. There were a few ERP systems, and as things started moving to the cloud via SaaS, application integration changed quite a bit. Now we’re seeing analytic applications move to the cloud as well. The biggest force of gravity is the mass movement to the cloud. That is also driving data integration. By definition, we’re now replicating platforms as much as we are moving into them. Enterprises that are moving into the cloud need a parallel data application integration strategy to make use of your data as an asset and to make sure the overall plan will work. Data is frustrating to deal with. The problems seem easy and the reality is hard. Normalizing data, merging it together so you can get meaningful results out of it, making sure your SLAs are met in terms of freshness and quality are all easy to describe but are frustratingly hard to do. One of the challenges we have for on-premise systems is there has always been a goal to democratize data. The challenge is access. It sounds easy, and the cloud inherently breaks this democratization barrier. There is now a public place where people can go get access to data. That centrality is driving a lot of innovative capabilities we are seeing emerge. Going from legacy applications to cloud requires a different approach to application and data integration. One starting point is choosing a cloud platform and trying to pick the right one. This can be the toughest decision a customer faces. Within each cloud platform there are also myriad choices, from which query technology to use, to whether to use Hadoop implementations on Azure, and more. There are so many choices and it’s easy to feel like you’ve made the wrong one. Working in enterprise IT, there is a shift in the view of how data should be managed, accessed, and manipulated. In the early days, it was a developer’s job. IT was the team who knew how to access data and application systems. Self-service pushes some of the responsibility out to the edges. It’s not about wanting to move away from IT, but it’s about empowering those who who have the domain knowledge and will eventually be using the data. How we access these systems is different now. The structure of the data is also different. It used to be row and column-oriented. Nowadays, with REST and JSON, being able to handle the formats and not create new barriers so you are not manhandling the tool into dealing with data in unnatural ways. That will make developer lives easier and make it easier for vendors to add connections to the data. Databases used to be relatively simple. These days it’s often special-purpose databases such as in-memory, object-based, hierarchical, and relational databases. In some ways this makes things more complex, but with layers of abstraction it can also make things easier. When we only had relational, you had to make data look relational whether it was meant to or not. Now you do not need to force anything to fit different data sets.  SnapLogic is beginning to leverage AI and Machine Learning. Their focus is on making computers work for you instead of making you work for computers.

Our guest on the podcast this week is <a href="https://twitter.com/jamesmarkarian" rel="nofollow" target="_blank">James Markarian</a>, CTO at <a href="https://www.snaplogic.com/" rel="nofollow" target="_blank">SnapLogic.</a> Data integration is going through a Renaissance at the moment just like application integration did a few years ago. The primary driver for these changes is the movement to the cloud. When you turn back the clock, application integrations used to be simple. There were a few ERP systems, and as things started moving to the cloud via SaaS, application integration changed quite a bit. Now we’re seeing analytic applications move to the cloud as well. The biggest force of gravity is the mass movement to the cloud. That is also driving data integration. By definition, we’re now replicating platforms as much as we are moving into them. Enterprises that are moving into the cloud need a parallel data application integration strategy to make use of your data as an asset and to make sure the overall plan will work. Data is frustrating to deal with. The problems seem easy and the reality is hard. Normalizing data, merging it together so you can get meaningful results out of it, making sure your SLAs are met in terms of freshness and quality are all easy to describe but are frustratingly hard to do. One of the challenges we have for on-premise systems is there has always been a goal to democratize data. The challenge is access. It sounds easy, and the cloud inherently breaks this democratization barrier. There is now a public place where people can go get access to data. That centrality is driving a lot of innovative capabilities we are seeing emerge. Going from legacy applications to cloud requires a different approach to application and data integration. One starting point is choosing a cloud platform and trying to pick the right one. This can be the toughest decision a customer faces. Within each cloud platform there are also myriad choices, from which query technology to use, to whether to use Hadoop implementations on Azure, and more. There are so many choices and it’s easy to feel like you’ve made the wrong one. Working in enterprise IT, there is a shift in the view of how data should be managed, accessed, and manipulated. In the early days, it was a developer’s job. IT was the team who knew how to access data and application systems. Self-service pushes some of the responsibility out to the edges. It’s not about wanting to move away from IT, but it’s about empowering those who who have the domain knowledge and will eventually be using the data. How we access these systems is different now. The structure of the data is also different. It used to be row and column-oriented. Nowadays, with REST and JSON, being able to handle the formats and not create new barriers so you are not manhandling the tool into dealing with data in unnatural ways. That will make developer lives easier and make it easier for vendors to add connections to the data. Databases used to be relatively simple. These days it’s often special-purpose databases such as in-memory, object-based, hierarchical, and <a href="https://www.cloudtp.com/doppler/best-practices/applications-innovation/" rel="nofollow" target="_blank">relational databases</a>. In some ways this makes things more complex, but with layers of abstraction it can also make things easier. When we only had relational, you had to make data look relational whether it was meant to or not. Now you do not need to force anything to fit different data sets.  SnapLogic is beginning to leverage AI and Machine Learning. Their focus is on making computers work for you instead of making you work for computers.

Data Integration from Different Perspectives

Our guest on the podcast this week is Lori MacVittie, Principal Technical Evangelist at F5 Networks.  We discuss upcoming enterprise cloud trends for 2017. We look at how collaboration is advancing with platforms like Slack and determine whether this trend is here to stay. Deep learning is another important 2017 focus, especially because the economics have become favorable and analytics no longer cost as much. This means we can now create things like neural networks and advanced predictive algorithms at a much lower cost. We also look at the return of SQL, and discuss whether it ever left at all. It seems SQL will be important in 2016, from  MongoDB and beyond. We see how containers are here to stay and to manage clusters, Kubernetes will be the top player in 2017. We see how serverless computing makes development easier, especially looking at AWS Lambda. Instead of deploying apps and microservices, we now deploy functions that do only one thing with serverless computing. This is a lot more to manage for large enterprises because of how granular functional programming can become. We also look at custom cloud processors as an alternative to using major chip manufacturers and processors. IoT will continue to forge ahead in 2017 and the keyword will be interoperability. With so many new devices, standards on security and governance will be crucial next year. IT spending as we know it may change in 2017 as more and more enterprises look into PC-as-a-service models instead of purchasing expensive equipment. Last, we discuss the rise of Python programming language and where it will go in 2017 from data science to teaching it to kids.  News Covered InfoWorld: 9 enterprise tech trends for 2017 and beyond

Our guest on the podcast this week is <a href="https://twitter.com/lmacvittie" rel="nofollow" target="_blank">Lori MacVittie</a>, Principal Technical Evangelist at <a href="https://twitter.com/f5networks" rel="nofollow" target="_blank">F5 Networks.</a> We discuss upcoming enterprise cloud trends for 2017. We look at how collaboration is advancing with platforms like Slack and determine whether this trend is here to stay. Deep learning is another important 2017 focus, especially because the economics have become favorable and analytics no longer cost as much. This means we can now create things like neural networks and advanced predictive algorithms at a much lower cost. We also look at the return of SQL, and discuss whether it ever left at all. It seems SQL will be important in 2016, from <a href="https://www.cloudtp.com/doppler/best-practices/applications-innovation/" rel="nofollow" target="_blank"> MongoDB</a> and beyond. We see how containers are here to stay and to manage clusters, Kubernetes will be the top player in 2017. We see how serverless computing makes development easier, especially looking at AWS Lambda. Instead of deploying apps and microservices, we now deploy functions that do only one thing with serverless computing. This is a lot more to manage for large enterprises because of how granular functional programming can become. We also look at custom cloud processors as an alternative to using major chip manufacturers and processors. IoT will continue to forge ahead in 2017 and the keyword will be interoperability. With so many new devices, standards on security and governance will be crucial next year. IT spending as we know it may change in 2017 as more and more enterprises look into PC-as-a-service models instead of purchasing expensive equipment. Last, we discuss the rise of Python programming language and where it will go in 2017 from data science to teaching it to kids.  News Covered InfoWorld: <a href="http://www.infoworld.com/article/3147094/application-development/9-enterprise-tech-trends-for-2017-and-beyond.html" rel="nofollow" target="_blank">9 enterprise tech trends for 2017 and beyond</a>

Enterprise Tech Trends to Watch in 2017

David Linthicum

We discuss why enterprises are adopting public and hybrid cloud strategies, the decline of private cloud and PaaS, and the announcements we expect to hear at re:Invent 2017. With increased cost savings and agility coming from public and hybrid cloud strategies, more enterprises are ditching private cloud and PaaS solutions.

We discuss why enterprises are adopting public and hybrid cloud strategies, the decline of private cloud and PaaS, and the announcements we expect to hear at re:Invent 2017. With increased cost savings and agility coming from public and hybrid cloud strategies, more enterprises are ditching private cloud and PaaS solutions.

David Linthicum on Public Cloud Momentum

Our guest on the podcast this week is Issy Ben-Shaul, Co-Founder &amp; CEO at Velostrata. We discuss the difference between hybrid cloud and multi-cloud. Hybrid is anything that’s not just one cloud provider, which includes multi-cloud. Multi-cloud is a strategy where some workloads are running on one cloud, some on another. One trend we see is that big enterprises are splitting workloads more and more between at least two major public clouds for a multi-cloud strategy. According to Gartner, 70% of enterprises will be implementing a multi-cloud strategy by 2019. Some do it because they are mandated by regulators to have more than one cloud. Others are deciding they can’t put all eggs in one basket and want the flexibility to use multiple different vendors. Companies used to look at cloud as a data center and it was all about IaaS. Now it’s becoming more and more abstract: PaaS, containers as a service, microservices, functions as a service, IoT developer kits, and edge computing are just the beginning. It seems that the more mature a company is in the cloud, the further up that stack they go. Where is all this going? Customers are looking for operational efficiencies, cost savings and more productivity and agility. In conclusion, there is no question customers will slowly continue to adopt these new technologies.

Our guest on the podcast this week is <a href="https://twitter.com/issy972?lang=en" rel="noopener nofollow" target="_blank">Issy Ben-Shaul</a>, Co-Founder &amp; CEO at <a href="https://velostrata.com/" rel="noopener nofollow" target="_blank">Velostrata.</a> We discuss the difference between hybrid cloud and multi-cloud. Hybrid is anything that’s not just one cloud provider, which includes multi-cloud. Multi-cloud is a strategy where some workloads are running on one cloud, some on another. One trend we see is that big enterprises are splitting workloads more and more between at least two major public clouds for a multi-cloud strategy. According to Gartner, 70% of enterprises will be implementing a multi-cloud strategy by 2019. Some do it because they are mandated by regulators to have more than one cloud. Others are deciding they can’t put all eggs in one basket and want the flexibility to use multiple different vendors. Companies used to look at cloud as a data center and it was all about IaaS. Now it’s becoming more and more abstract: PaaS, containers as a service, microservices, functions as a service, IoT developer kits, and <a href="https://www.cloudtp.com/doppler/hot-topics/edge-computing-transforms-enterprises/" rel="noopener nofollow" target="_blank">edge computing</a> are just the beginning. It seems that the more mature a company is in the cloud, the further up that stack they go. Where is all this going? Customers are looking for operational efficiencies, cost savings and more productivity and agility. In conclusion, there is no question customers will slowly continue to adopt these new technologies.

Multi-Cloud vs Hybrid Cloud: What’s the Difference?

Our guest on the podcast this week is Dana Gardner, Founder atInterarbor Solutions. We discuss OpenStack’s traction, successes, and obstacles as the cloud market continues to grow rapidly. We also look at how enterprises are shifting to an API-first mentality, with the need to tie together services across multiple providers into one heterogeneous experience. Last, we look at the new emergence of cloud brokers and whether they are better suited as a core competency at an organization or as a product.

Our guest on the podcast this week is <a href="https://twitter.com/dana_gardner" rel="nofollow" target="_blank">Dana Gardner</a>, Founder at<a href="http://interarborsolutions.com/" rel="nofollow" target="_blank">Interarbor Solutions.</a> We discuss OpenStack’s traction, successes, and obstacles as the cloud market continues to grow rapidly. We also look at how enterprises are shifting to an API-first mentality, with the need to tie together services across multiple providers into one heterogeneous experience. Last, we look at the new emergence of cloud brokers and whether they are better suited as a core competency at an organization or as a product.

The Facts on OpenStack and Cloud Brokers

Operating in the cloud is different. Your old tools won’t work here. We discuss the leading indicators of cloudwashing you should be looking for when selecting tools for the cloud. We also discuss “dark data” and how organizations can overcome platform scalability challenges. Ben shares how Sumo Logic is helping their own customers ingest data in real time, react quickly and make more informed decisions. Finally, we discuss application portability, the effects of data gravity and how this affects the way we should be utilizing container-based technologies, such as Kubernetes.

Operating in the cloud is different. Your old tools won’t work here. We discuss the leading indicators of <a href="https://www.cloudtp.com/doppler/beware-the-cloudwash-five-signs-your-vendor-is-pulling-one-over-on-you/" rel="nofollow" target="_blank">cloudwashing</a> you should be looking for when selecting tools for the cloud. We also discuss “dark data” and how organizations can overcome platform scalability challenges. Ben shares how Sumo Logic is helping their own customers ingest data in real time, react quickly and make more informed decisions. Finally, we discuss application portability, the effects of data gravity and how this affects the way we should be utilizing container-based technologies, such as Kubernetes.

Making the Wickedly Complex Scalable

Our guest on the podcast this week is John Treadway, SVP at Cloud Technology Partners. We discuss best practices to leverage the cloud for innovative digital solutions. We look at Blockchain as a powerful new reality that helps reduce transaction costs for the financial industry on everything from mortgages, record-keeping, stock allocation, and even car records. Blockchain is disrupting the 15th century double-ledger accounting system still in use today, and it relies on the cloud for its future. The cloud acts as the backbone for many other innovative solutions of the future from AI to Machine Learning and Big Data insights. These include algorithms to improve the reliability of autonomous driving, and even to accurately build financial portfolios more effectively than a stock broker. The Cloud Technology Partners Digital Innovation initiative was launched on October 25 and will lead many of these innovative cloud-based solutions and more.    News Covered Wall Street Journal: How Blockchain Will Change Your Life

Our guest on the podcast this week is <a href="https://twitter.com/johntreadway" rel="nofollow" target="_blank">John Treadway</a>, SVP at <a href="https://twitter.com/cloudtp" rel="nofollow" target="_blank">Cloud Technology Partners.</a> We discuss best practices to leverage the cloud for innovative digital solutions. We look at Blockchain as a powerful new reality that helps reduce transaction costs for the financial industry on everything from mortgages, record-keeping, stock allocation, and even car records. Blockchain is disrupting the 15th century double-ledger accounting system still in use today, and it relies on the cloud for its future. The cloud acts as the backbone for many other innovative solutions of the future from AI to Machine Learning and Big Data insights. These include algorithms to improve the reliability of autonomous driving, and even to accurately build financial portfolios more effectively than a stock broker. The <a href="https://www.cloudtp.com/digital-innovation/" rel="nofollow" target="_blank">Cloud Technology Partners Digital Innovation</a> initiative was launched on October 25 and will lead many of these innovative cloud-based solutions and more.    News Covered Wall Street Journal: <a href="http://www.wsj.com/articles/how-blockchain-will-change-your-life-1478564751" rel="nofollow" target="_blank">How Blockchain Will Change Your Life</a>

Why the Cloud is the Best Vehicle for Innovation

Our guest on the podcast this week is Tatiana Lavrentieva, Cloud Solutions Architect at Cloud Technology Partners. We discuss how Microsoft Azure is catching up with AWS. It seems to become more compelling each year with new services like Azure Stack and Azure Container Service. In 2016, AWS grew at the same pace as the market, but Microsoft Azure grew much faster. Microsoft launched Azure 5-6 years after AWS, so AWS has an enormous lead. Now, Microsoft Azure is at least competitive with AWS in every area. This allows the two to compete over pricing. Enterprises do not automatically choose AWS anymore. They now research what the right cloud is for the organization. Many organizations are also embracing multi-cloud strategies. This means using feature capabilities of multiple public clouds for different pieces of the enterprise. For instance, it saves money to run Microsoft services on Azure, so that is often a feature that gets separated in cloud strategy.

Our guest on the podcast this week is <a href="https://www.linkedin.com/in/talavren" rel="nofollow" target="_blank">Tatiana Lavrentieva</a>, Cloud Solutions Architect at <a href="https://twitter.com/cloudtp" rel="nofollow" target="_blank">Cloud Technology Partners.</a> We discuss how Microsoft Azure is catching up with AWS. It seems to become more compelling each year with new services like <a href="https://docs.microsoft.com/en-us/azure/azure-stack/" rel="nofollow" target="_blank">Azure Stack</a> and <a href="https://azure.microsoft.com/en-us/services/container-service/?v=17.23h" rel="nofollow" target="_blank">Azure Container Service</a>. In 2016, AWS grew at the same pace as the market, but Microsoft Azure grew much faster. Microsoft launched Azure 5-6 years after AWS, so AWS has an enormous lead. Now, Microsoft Azure is at least competitive with AWS in every area. This allows the two to compete over pricing. Enterprises do not automatically choose AWS anymore. They now research what the right cloud is for the organization. Many organizations are also embracing multi-cloud strategies. This means using feature capabilities of multiple public clouds for different pieces of the enterprise. For instance, it saves money to run Microsoft services on Azure, so that is often a feature that gets separated in cloud strategy.

Microsoft Azure is Racing to Meet AWS at the Top

Our guest on the podcast this week is Bill Mew, ChiefMarketing Officer at Compare the Cloud. We discuss how AWS hasreset the scales of IT power today in the same way the Dreadnoughtbattleship reset the naval power scales overnight in World War I.MSPs are a major part of this 2016 battle of the clouds, and Billrecommends they transition to specialization around a particularindustry. 

Our guest on the podcast this week is <a href="https://twitter.com/BillMew" rel="nofollow" target="_blank">Bill Mew</a>, Chief Marketing Officer at <a href="https://twitter.com/comparethecloud" rel="nofollow" target="_blank">Compare the Cloud.</a> We discuss how AWS has reset the scales of IT power today in the same way the Dreadnought battleship reset the naval power scales overnight in World War I. MSPs are a major part of this 2016 battle of the clouds, and Bill recommends they transition to specialization around a particular industry.

The Cloud MSP Battle of 2016

Our guest on the podcast this week is Lori MacVittie, Principal Technical Evangelist at F5 Networks. We discuss trends in so far in 2017 in cloud computing, DevOps, IoT, and Machine Learning. Enterprises constantly hear about the latest trends. Sometimes the industry moves too fast for them to keep up with. They still worry about moving from one system to another and starting basic cloud practices. Cloud is not core to their businesses yet. At some point, these large enterprises need to optimize the changes they have already made instead of always worrying about the next trend. They need to get better at scale to ensure their business will grow. One interesting trend has been the changing landscape of service-oriented architecture (SOA) and the more modern microservices. Lori wrote a blogpost in 2008 on the exaggerated death of SOA. In revisiting the post recently, she concludes that SOA is alive. The industry now focuses on microservices, which are action-oriented. Actions like logging out, logging in, checking statuses, purchasing, checking carts are now standard. These services link together to make experiences for users. Perhaps a better descriptor of SOA today is event-driven service architecture. Revisiting thought leadership from 2008 has shown how far the industry has come and how far it will go in the next 10 years.

Our guest on the podcast this week is <a href="https://twitter.com/lmacvittie" rel="nofollow" target="_blank">Lori MacVittie</a>, Principal Technical Evangelist at <a href="https://f5.com/" rel="nofollow" target="_blank">F5 Networks.</a> We discuss trends in so far in 2017 in cloud computing, DevOps, IoT, and Machine Learning. Enterprises constantly hear about the latest trends. Sometimes the industry moves too fast for them to keep up with. They still worry about moving from one system to another and starting basic cloud practices. Cloud is not core to their businesses yet. At some point, these large enterprises need to optimize the changes they have already made instead of always worrying about the next trend. They need to get better at scale to ensure their business will grow. One interesting trend has been the changing landscape of service-oriented architecture (SOA) and the more modern microservices. Lori wrote a blogpost in 2008 on <a href="https://devcentral.f5.com/articles/the-death-of-soa-has-been-greatly-exaggerated" rel="nofollow" target="_blank">the exaggerated death of SOA</a>. In revisiting the post recently, she concludes that <a href="https://devcentral.f5.com/articles/flashback-friday-the-death-of-soa-has-still-been-greatly-exaggerated-26757" rel="nofollow" target="_blank">SOA is alive</a>. The industry now focuses on microservices, which are action-oriented. Actions like logging out, logging in, checking statuses, purchasing, checking carts are now standard. These services link together to make experiences for users. Perhaps a better descriptor of SOA today is event-driven service architecture. Revisiting thought leadership from 2008 has shown how far the industry has come and how far it will go in the next 10 years.

Microservices are Proof that Service-Oriented Architecture is Alive

Our guest on the podcast this week is David Linthicum, SVP at Cloud Technology Partners, interviewed on the Microsoft TechNet Podcast. We discuss cloud computing across the years starting in 1994 and up to the hybrid clouds we see today. We also look at the current state of IT, which is in transition and probably will be for the next five years. Moving into the cloud is the disruption that drives this transition.

Our guest on the podcast this week is <a href="https://twitter.com/DavidLinthicum" rel="nofollow" target="_blank">David Linthicum</a>, SVP at <a href="https://twitter.com/cloudtp" rel="nofollow" target="_blank">Cloud Technology Partners</a>, interviewed on the Microsoft TechNet Podcast. We discuss cloud computing across the years starting in 1994 and up to the hybrid clouds we see today. We also look at the current state of IT, which is in transition and probably will be for the next five years. Moving into the cloud is the disruption that drives this transition.

A Brief History of Cloud Computing

Our guest on the podcast this week is Don Duet, President and COO at Vapor IO. We discuss the many definitions floating around for what edge computing is. Some call it fog computing or MEC (mobile edge computing). It is simple. It is a perspective that as the shift goes from wireless networks and person-to-person interaction to machine-to-machine interaction, underlying architectures must change along with that shift. For things like IoT and distributed data, they require reliability and speed at the source. Increased embeddedness from IoT to healthcare, finance to automotives requires lower latency and need solutions that are mass-scaled to meet distribution requirements. There are many use-cases for edge computing. Many often think first of Fitbits or Amazon Echos. However, it is transforming enterprises and changing entire business models based on the access to real-time data on the edge. It’s used in places like industrial IoT where sensors and sound collection takes place in factories. Managing these at the source helps solve scalability issues. Hospitals are transforming into mobile computing labs. As this technology enters the operating room, it needs to be 100% reliable and fast because lives are on the line. Last, autonomous vehicles and drones use edge computing. Decision-making is brought closer to the device, reducing steps of communication that can result in errors or latency and could cause accidents. Clearly, edge computing is the future in many budding industries.

Our guest on the podcast this week is <a href="https://www.linkedin.com/in/don-duet-78598b23" rel="nofollow" target="_blank">Don Duet</a>, President and COO at <a href="https://www.vapor.io/" rel="nofollow" target="_blank">Vapor IO.</a> We discuss the many definitions floating around for <a href="https://www.cloudtp.com/doppler/make-sense-edge-computing-vs-cloud-computing/" rel="nofollow" target="_blank">what edge computing is</a>. Some call it fog computing or MEC (mobile edge computing). It is simple. It is a perspective that as the shift goes from wireless networks and person-to-person interaction to machine-to-machine interaction, underlying architectures must change along with that shift. For things like IoT and distributed data, they require reliability and speed at the source. Increased embeddedness from IoT to healthcare, finance to automotives requires lower latency and need solutions that are mass-scaled to meet distribution requirements. There are many use-cases for edge computing. Many often think first of Fitbits or Amazon Echos. However, it is transforming enterprises and changing entire business models based on the access to real-time data on the edge. It’s used in places like industrial IoT where sensors and sound collection takes place in factories. Managing these at the source helps solve scalability issues. Hospitals are transforming into mobile computing labs. As this technology enters the operating room, it needs to be 100% reliable and fast because lives are on the line. Last, autonomous vehicles and drones use edge computing. Decision-making is brought closer to the device, reducing steps of communication that can result in errors or latency and could cause accidents. Clearly, edge computing is the future in many budding industries.

Edge Computing and how it Transforms Enterprises

Our guest on the podcast this week is Austen Collins, Founder at Serverless. We discuss Austen’s early bet on serverless computing from the first time he saw AWS Lambda. Serverless, even in the early days, has many benefits. It is microservice-based, event-driven, requires no administration, and has a compelling “pay-per-execution” pricing model. Serverless was launched as an application framework. The problem with serverless computing today is that if you want to build a sophisticated system on this type of service, you’re dealing with lots of independent units of deployment. One application is a combination of many Lambda functions. Dealing with this all-together, not to mention the event-driven computing, can be chaotic. Serverless offers a simple file that can define a serverless application. The framework provisions all the infrastructure for you and the app is up in seconds. We are still in the early phases of serverless computing and the trend is still yet to be defined. It’s impressive how fast the cloud providers are moving with serverless computing and building new features around it. Adoption from enterprises has also been fast. The challenges of serverless computing are that there are a lot of changes at once for an organization to adopt it, and this often requires cultural shifts as well. Serverless computing requires a new way of thinking for enterprises, which is a challenge. But the for enterprises who embrace it, the gains are worth it.

Our guest on the podcast this week is <a href="https://twitter.com/adamhjk" rel="nofollow" target="_blank">Austen Collins</a>, Founder at <a href="https://serverless.com/" rel="nofollow" target="_blank">Serverless.</a> We discuss Austen’s early bet on serverless computing from the first time he saw AWS Lambda. Serverless, even in the early days, has many benefits. It is microservice-based, event-driven, requires no administration, and has a compelling “pay-per-execution” pricing model. Serverless was launched as an application framework. The problem with serverless computing today is that if you want to build a sophisticated system on this type of service, you’re dealing with lots of independent units of deployment. One application is a combination of many Lambda functions. Dealing with this all-together, not to mention the event-driven computing, can be chaotic. Serverless offers a simple file that can define a serverless application. The framework provisions all the infrastructure for you and the app is up in seconds. We are still in the early phases of serverless computing and the trend is still yet to be defined. It’s impressive how fast the cloud providers are moving with serverless computing and building new features around it. Adoption from enterprises has also been fast. The challenges of serverless computing are that there are a lot of changes at once for an organization to adopt it, and this often requires cultural shifts as well. Serverless computing requires a new way of thinking for enterprises, which is a challenge. But the for enterprises who embrace it, the gains are worth it.

Serverless Computing and Beyond

Docker

Our guest on the podcast this week is Kim Weins, VP of Marketing at RightScale. We discuss RightScale’s recent State of the Cloud Report, taking a deep dive into DevOps and Docker adoption. Adoption is increasing across the board for configuration management tools such as Chef, Puppet, and Ansible, but Docker has seen the greatest growth since last year. Last year 13% of the teams surveyed were using Docker, while this year 27% are using it and 35% reported they plan to use it in the future. At this rate of growth, Docker could take the lead on widespread adoption as soon as next year. We also see a trend in large enterprises embracing DevOps, sometimes with more enthusiasm that SMBs. RightScale has taken their own steps to migrate to Docker to save costs and we see how they were successfully able to make the switch.

Our guest on the podcast this week is <a href="https://twitter.com/kimweins" rel="nofollow" target="_blank">Kim Weins</a>, VP of Marketing at <a href="https://twitter.com/rightscale" rel="nofollow" target="_blank">RightScale.</a> We discuss RightScale’s recent <a href="https://www.rightscale.com/lp/state-of-the-cloud" rel="nofollow" target="_blank">State of the Cloud Report,</a> taking a deep dive into DevOps and Docker adoption. Adoption is increasing across the board for configuration management tools such as Chef, Puppet, and Ansible, but Docker has seen the greatest growth since last year. Last year 13% of the teams surveyed were using Docker, while this year 27% are using it and 35% reported they plan to use it in the future. At this rate of growth, Docker could take the lead on widespread adoption as soon as next year. We also see a trend in large enterprises embracing DevOps, sometimes with more enthusiasm that SMBs. RightScale has taken their own steps to migrate to Docker to save costs and we see how they were successfully able to make the switch.

Trends in DevOps and Docker Adoption

Our guest on the podcast this week is Jeff Thorn, CEO at Thorn Technologies. We discuss modern-day data analytics for enterprises. We look at new and old AWS products like AWS Glue, AWS Kinesis, and Redshift. AWS Kinesis is something Thorn Technologies leveraged to create a product that allowed them to capture location data to track user behavior data at large trade shows. They could find out where users were spending time in the physical space. At first, it was hard to process the large amount of data coming in with user information and it sometimes took 24 hours to provide insights. When they migrated it to the cloud and used AWS Kinesis streaming data and Redshift data warehouse on the back-end they were able to get near real-time insight into behavior data. Kinesis is Amazon’s real-time streaming data processing service. It is good for when you have a lot of data coming in all at once and want real-time insights. Where is big data now and where is it heading? The top data products in the cloud change the way you can solve problems. Today, the top game changers are Hadoop and spin-offs based on the Hadoop infrastructure. Hadoop gives users more power because you do not have to pre-structure your data. It opens the door to new kinds of analytics. In the past, you needed a data warehouse that was designed specifically for the data it held and with new information you had to spend months re-designing it to fit into the existing system. With Hadoop and other distributed analytics platforms you can manipulate your data on the fly and write analytics specific to your data. In the next five years, big data and analytics will continue to evolve. Right now doing your own analytics and making your own decisions is popular. However, IoT and AI are quickly becoming a reality. In five years it will not be you making decisions, it will be machines making decisions. We will see what machines tell us about our businesses.

Our guest on the podcast this week is <a href="https://twitter.com/jeffthorntech" rel="noopener nofollow" target="_blank">Jeff Thorn</a>, CEO at <a href="https://www.thorntech.com/" rel="noopener nofollow" target="_blank">Thorn Technologies.</a> We discuss modern-day data analytics for enterprises. We look at new and old AWS products like AWS Glue, AWS Kinesis, and Redshift. AWS Kinesis is something Thorn Technologies leveraged to create a product that allowed them to capture location data to track user behavior data at large trade shows. They could find out where users were spending time in the physical space. At first, it was hard to process the large amount of data coming in with user information and it sometimes took 24 hours to provide insights. When they migrated it to the cloud and used AWS Kinesis streaming data and Redshift data warehouse on the back-end they were able to get near real-time insight into behavior data. Kinesis is Amazon’s real-time streaming data processing service. It is good for when you have a lot of data coming in all at once and want real-time insights. Where is big data now and where is it heading? The top data products in the cloud change the way you can solve problems. Today, the top game changers are Hadoop and spin-offs based on the Hadoop infrastructure. Hadoop gives users more power because you do not have to pre-structure your data. It opens the door to new kinds of analytics. In the past, you needed a data warehouse that was designed specifically for the data it held and with new information you had to spend months re-designing it to fit into the existing system. With Hadoop and other distributed analytics platforms you can manipulate your data on the fly and write analytics specific to your data. In the next five years, big data and analytics will continue to evolve. Right now doing your own analytics and making your own decisions is popular. However, IoT and AI are quickly becoming a reality. In five years it will not be you making decisions, it will be machines making decisions. We will see what machines tell us about our businesses.

AWS Glue Saves the Day and the Future of Big Data

Our guest on the podcast this week is Joel Davne, Founder and CEO at Cloudnexa. We discuss cloud pricing strategies including Microsoft Azure’s recent price cut for large enterprises. It seems cloud providers are reducing prices on older technology to make way for newer products. We also look at the latest AWS announcement that they will be offering options to get up to a 10% discount for reserving capacity in advance and on a recurring basis.

Our guest on the podcast this week is Joel Davne, Founder and CEO at Cloudnexa. We discuss cloud pricing strategies including Microsoft Azure’s recent price cut for large enterprises. It seems cloud providers are reducing prices on older technology to make way for newer products. We also look at the latest AWS announcement that they will be offering options to get up to a 10% discount for reserving capacity in advance and on a recurring basis.

Cloud Provider Pricing Strategies from AWS to Azure

This week we’re switching things up and digging into a topic we know even better than cloud: What it’s like working at CTP. While there is no shortage in the number of organizations that need help migrating, modernizing and building applications in the cloud, there is a shortage in the amount of talent filling those roles. Attain a new AWS, Azure or GCP certification, and a handful of recruiters will rush to get you on the phone. The job market has never been as bountiful as it is now, and for the skills you have! So, how do you decide where to take your career next? We think CTP is that landing zone. In this episode, we get honest and talk about the reality of working at CTP, including:  Our “fast-paced”, “dive into the deep end”, “no fear of failure” culture The not so glamorous side of traveling when you’re a consultant The truth behind our acquisition and its impact, or lack thereof, on our business The types of people we look to hire     Want to join our team? Check out all of our nation-wide openings: careers.cloudtp.com

This week we’re switching things up and digging into a topic we know even better than cloud: What it’s like working at CTP. While there is no shortage in the number of organizations that need help migrating, modernizing and building applications in the cloud, there is a shortage in the amount of talent filling those roles. Attain a new AWS, Azure or GCP certification, and a handful of recruiters will rush to get you on the phone. The job market has never been as bountiful as it is now, and for the skills you have! So, how do you decide where to take your career next? We think CTP is that landing zone. In this episode, we get honest and talk about the reality of working at CTP, including: <ul> <li>Our “fast-paced”, “dive into the deep end”, “no fear of failure” culture</li> <li>The not so glamorous side of traveling when you’re a consultant</li> <li>The truth behind our acquisition and its impact, or lack thereof, on our business</li> <li>The types of people we look to hire</li> </ul>   Want to join our team? Check out all of our nation-wide openings: <a href="https://careers.cloudtp.com/" rel="nofollow" target="_blank">careers.cloudtp.com</a>

“With CTP, it’s like playing on the All-Star team, everyday.”

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