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New Relic 2019 Predictions: DevOps, Cloud and Kubernetes Trends

Industry executives and experts share their predictions for 2019.  Read them in this 11th annual VMblog.com series exclusive.

Contributed by Lee Atchison, Ravi Tharisayi, and Jean-Francios Joly, experts from New Relic

DevOps, Cloud and Kubernetes Trends

2019 has finally arrived, and with it comes a new set of technical innovations and challenges to navigate, and manage. What should we expect? At New Relic, we are very interested to see how the software landscape will change, and how DevOps, cloud and Kubernetes trends evolve over the next year.

Here is what our experts think:

Cloud - Lee Atchison, Senior Director of Strategic Architecture

Cloud trends, such as increased public cloud adoption and hybrid-cloud that were important in 2018 will continue to play a role across the global market in 2019. Don't expect AWS's adoption and impact to decrease, as it is still growing faster than all of the other cloud providers combined. However, the industry will continue to benefit from the healthy competition from Azure, Google Cloud Platform and IBM. The growth of Azure specifically will bring more cloud success in Europe.

In 2019, I foresee more and more organizations migrating aggressively to the public cloud and build net-new applications there. Whether workloads are in the public cloud or on-premises, IT teams will seek a platform that moves away from "static" resource allocation to "dynamic" resource allocation - which means automatically scaling, dynamic routing, functions as a service and other "serverless" technologies.

What's going to be especially important in 2019 is cloud management and control. Before, the prevailing motto was "move to the cloud at all costs." In 2019, organizations will ditch the "at all costs" outlook, and cloud waste management will increasingly become a big focus for the C-suite and IT decision makers.

In the coming year, we may also see an even greater focus placed on keeping data in-country and specifically "out of the US," as the geo-political environment continues to heat up.

DevOps - Ravi Tharisayi, Director of Solutions Marketing

As developers continue to take greater ownership of code in production, instrumentation of production code will be ubiquitous in 2019. Analytics and intelligence will play a strategic role in guiding DevOps teams toward business critical focus areas and reliability opportunities.

As more and more companies implement on their DevOps and cloud transformation strategies, we will see a demand for people with an operational mindset, a software engineering toolbox, and the social engineering skills to bring established teams along on the journey. In most cases, these companies often lack intelligent data they need to implement best practices or make informed decisions, so they'll look to hire employees who can instrument both software and infrastructure to provide improved visibility across systems and infrastructures. Going forward, these skills will also be important to measure the success of migrating their technology stacks, including monolith to microservices, on-prem to cloud, and silos to integrated operation teams.

Finally, DevOps engineers will increasingly incorporate algorithms and machine learning to help automate and enhance IT operations. For example, using analytics and machine learning to analyze big data collected from various IT operations tools and devices will allow organizations to automatically spot and react to anomalies in real time. The rate of change in the industry makes it hard for individuals and organizations to keep up with all the siloed data, so all organizations face the challenge of finding and retaining people with the right combination of experience and fresh thinking.

Kubernetes - Jean-Francios Joly, Senior Product Manager

In 2019, we'll see increased Kubernetes adoption and larger workloads. In addition to migrating their monoliths to Kubernetes, customers are also creating entirely new applications on top of Kubernetes. Kubernetes has become the platform of choice for microservices. As a result, we should expect the average deployment size to increase over the coming years. Additionally, most major public and private cloud vendors offer managed Kubernetes solutions and have built serverless Kubernetes offerings, such as Google KNative, AWS Fargate for EKS, or AKS virtual node. This approach will make adoption easier by eliminating part of the complexity of setting up and managing Kubernetes, while still providing the benefits of using the same APIs and tools. In 2019, we will see serverless emerging on top of Kubernetes with some bleeding edge players adopting it early before it starts to really take off in 2020.

I believe that Kubernetes adoption will drive increased cloud adoption in the new year. Universal support for Kubernetes from the major cloud platforms suggests an opportunity for industry-wide growth. As software teams begin to deliver their applications in containers instead of in virtual machines, they'll be able to run their applications in multiple cloud providers, ensuring that high-availability versions of the applications are easy to build.

Kubernetes has the potential to play an influential role in creating a hybrid-cloud strategy for organizations. The portability of the Kubernetes API to multiple environments will enable standardization of the tools that teams use and increase productivity while reducing friction separating applications across different cloud providers. Some organizations are becoming more concerned with cloud provider lock-in, so the portability provided by Kubernetes offers a promising solution.

I also expect to see increased adoption of service meshes. Kubernetes isn't a silver bullet for all things microservices and containers. Kubernetes and containers are amazing for resource management and allocation but limited regarding service-to-service communication from a routing, security, or discovery perspective. Emerging cloud vendor services like AppMesh and open-source projects like Istio (which has major backers like Lyft, IBM, and Google) handle many service-to-service communication functions by integrating them into the network in a language-agnostic way.

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About the Authors

Lee Atchison 

Lee Atchison - Senior Director of Strategic Architecture at New Relic

Lee Atchison is the Senior Director, Cloud Architecture at New Relic. He's been with New Relic for over seven years where he led the building of the New Relic Infrastructure products and helped New Relic architect a solid service-based system. Lee has 32 years of industry experience and learned cloud-based, scalable systems during his seven years as a Senior Manager at Amazon.com, where among other things he led the creation of AWS Elastic Beanstalk. Lee is also the author of the book "Architecting for Scale", published in 2016 by O'Reilly Media.

Ravi Tharisai 

Ravi Tharisayi, Director of Solutions Marketing

Ravi Tharisayi is a Senior Product Marketing Manager, APM. He has 15 years of experience in the IT industry, starting as a Java web developer before a 10-year stint at IBM in consulting and marketing roles. Having first-hand experience with the frustrations of the waterfall software development methodology, Ravi is passionate about DevOps and development on the cloud.

Jean-Francios Joly 

Jean-Francios Joly, Senior Product Manager

As a product manager for Kubernetes at New Relic, JF helps customers make sense of, troubleshoot, and optimize their Kubernetes environment. Previously, he architected, deployed, managed, and automated global and large scale Infrastructure as a Service offerings for a telecommunications company and has worked as a product manager in a startup developing open-source network virtualization and analytics software.

Published Monday, February 11, 2019 7:15 AM by David Marshall
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