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Robin 2019 Predictions: The Year of Kubernetes Becoming Mainstream, DataOps, NVMe and Optimizing AI Investments

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

Contributed by Partha Seetala, CTO of Robin

2019 IT Infrastructure and DevOps predictions -- the year of Kubernetes becoming mainstream, DataOps, NVMe and Optimizing AI investments

As enterprises looks forward to the next phase of Digital Transformation, what's next? What's the prognosis for cloud native technologies? Where is DevOps going? And where will we be on the AI adoption curve? What game-changing cloud infrastructure technologies are achieving mainstream adoption? What exciting capabilities can we expect from the fast-paced innovation and from open source? Here are 5 key predictions that CIOs should be aware while charting the IT journey in 2019:

  1. 2019 is the year of Stateful Workloads on Kubernetes: We have seen the emergence of nearly 50 CNCF certified vendors providing a cloud native platform. With such broad vendor support, we would expect to see several organizations successfully running Big Data and Databases on Kubernetes. However, other than simple stateful apps, organizations struggle with running complex workloads such as Cloudera, Hortonworks, MongoDB, ElasticSearch, Splunk, Oracle, etc on Kubernetes. In 2019, the drive to reduce the complexity of running stateful applications on Kubernetes will continue and DevOps teams will look for solutions to support complex stateful applications.

  2. CIOs will recognize that Kubernetes is not a solution, but a platform to build a solution. Kubernetes has StatefulSets, Volumes, and many other features to ease the burden of running stateful workloads. But you still require expertise to effectively manage stateful services on Kubernetes. The fact is, doing so is challenging. In 2019, we'll continue to see developments from ROBIN, OpenShift, PKS and others who are working toward making Kubernetes a solution. Everything from banking and financial services to healthcare to utilities and beyond are using stateful applications and workloads. Hence, the need will increase for a solution to the problem of running stateful workloads on Kubernetes. Enterprises that employ a more holistic approach instead of focusing on just storage-for-containers, StatefulSets, etc, will be better poised to run production-quality deployments on Kubernetes.

  3. DataOps will become real with CIOs embracing it to take the success with DevOps to the next level. In 2018, the DevOps mania spread as more and more enterprises understood its benefits to reduce cycle times. A side effect that this phenomenon created was the need to operationalize increasing amounts of historical and real-time data. As a result, Database as a Service and Big Data as a Service made DataOps that much more important. Just as DevOps opened up a whole new world to application development, DataOps was shown to yield significant improvements, reducing time to deploy and manage data applications. In 2019, an increasing number of data architects and teams will use new approaches and tools incorporating containers and Kubernetes to continue along this path. DevOps will operate hand-in-hand with DataOps. CIOs will be looking for better solutions to manage the data pipeline that will continue to expand and mature in 2019.

  4. NVMe will gain strong adoption and enterprises will view it as their new Near Line Storage. This highly scalable storage protocol offers significantly higher performance and lower latencies compared to legacy SAS and SATA protocols. This not only accelerates existing applications like Big Data and Database that require high performance, but it also enables new applications and capabilities for real-time workload processing in the data center and at the Edge.

  5. CIOs will do a reality check on AI investments and realize that these investments are not delivering the ROI that they had expected by 2019. There will be increasing pressure to optimize and recalibrate these investments. According to the most recent Gartner Inc. annual survey of global CIOs, 35% are now struggling to identify suitable use cases for AI. Another 37% of organizations are still looking to define their AI strategies. AI projects incur high CAPEX from expensive GPU hardware and the lack of proper consolidation solutions for GPUs result in low utilization of these resources. In 2019 CIOs will look for solutions to drive better value from their AI investments by investing in products to maximize utilization.


About the Author

Partha Seetala 

Partha Seetala, Chief Technology Officer

Partha Seetala joined Robin Systems in 2015 as Chief Technology Officer, with more than 16 years of technology and product expertise. His previous position was with Symantec's information management business, known as Veritas, where he was Distinguished Engineer and Senior Director of Engineering. In that capacity he conceived, architected and led engineering teams to take multiple products from concept to market in the scale-out storage, distributed systems, content-aware file systems and information analytics space. He was also an adviser on multimillion-dollar product lines including NetBackup Appliance, Cluster File System, Veritas Cluster Server and Information Fabric. Earlier positions include serving as architect at Kazeon Systems - later acquired by EMC - and architect at Veritas Technologies. He holds a master's degree in Computer Science and Engineering from the University of Minnesota.

Published Tuesday, January 29, 2019 7:50 AM by David Marshall
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