Pegasystems announced the general availability of Pega Infinity ’24.1™.
As part of DEVOPSdigest's 2020 predictions, industry experts offer predictions on how containers and related technologies will evolve and impact DevOps and business in 2020.
Start with 2020 DevOps Predictions
CONTAINER-FIRST STRATEGY
A Container-First Strategy Proves Itself — Developers have long been proponents of containers, but there's been a huge shift toward establishing container-first strategies that are foundational to business transformation. 2020 will mark the year that these container-centric initiatives become the go-to-approach and play out on a larger scale, across enterprises and industries, as it proves immediate impact by providing a clear path to the cloud, while reducing cost and risk.
Scott Johnston
CEO, Docker
CONTAINERS: DEFACTO SOFTWARE PACKAGING MODEL
Containers will become the defacto software packaging model, with application modernization taking an accelerated path. Containerizing legacy apps plus everything running on Kubernetes will create a unified domain of operations.
Avishai Sharlin
Division President, Amdocs Technology
DRIVE FOR KUBERNETES INCREASES
In the future, every data technology will run on Kubernetes. We may not quite get there in 2020, but Kubernetes will continue to see rising adoption as more major vendors base their flagship platforms on it. There are still some kinks to be ironed out, such as issues with persistent storage, but those are currently being addressed with initiatives like BlueK8s. The entire big data community is behind Kubernetes, and its continued domination is assured.
Kunal Agarwal
CEO, Unravel Data
Containerization will continue to be a prime influencer to cloud adoption in 2020. But as popular as it already is, I expect we'll see an even stronger push from enterprises' engineering leadership to invest in Kubernetes — as it makes dev in an organization so significantly more productive, agile, and aligned with the DevOps delivery strategy.
Kaushik Mysur
Director of Product Management, Instaclustr
I expect to see container adoption, in general, and Kubernetes adoption, in particular, accelerate as companies try to leverage the platform for new architectures and multi-cloud initiatives. I expect to see that adoption trend move beyond first adopters into the mainstream with late adopters, though it will be years yet before enterprises are able to move large portions of their applications to new, containerized architectures.
Ben Newton
Director of Product Marketing, Sumo Logic
MORE COMPLEX WORKLOADS RUNNING ON KUBERNETES
The Kubernetes ecosystem is very rich, and as more companies find value in using Kubernetes as a container orchestrator, they will adopt more solutions in the ecosystem. These advances mean we'll see increasingly complex workloads running in Kubernetes.
Ali Golshan
CTO and Co-Founder, StackRox
KUBERNETES OPERATORS AND SERVICE BROKERS
Look for more cloud service and SaaS providers to implement and release Kubernetes Operators and Service brokers, in order to seamlessly integrate applications running on Kubernetes environment with their services.
Kaushik Mysur
Director of Product Management, Instaclustr
Kubernetes (K8s) Operators will grow in popularity and sophistication. This will cause a lot of teams to attempt to deploy their legacy stateful apps to K8 and increased market pressure will force the K8s community to make stateful services work more seamlessly and reliably.
Brian Kelly
Head of Conjur Engineering, CyberArk
FULLY MANAGED KUBERNETES-BASED PLATFORMS
We should see the maturation, and increase adoption, of fully-managed Kubernetes-based platforms that will be very attractive for organizations that don't want the management headache of Kubernetes.
Ben Newton
Director of Product Marketing, Sumo Logic
GITOPS GOES MAINSTREAM
The next generation of application deployment platforms and DevOps tooling have been building on a new foundation that is cloud-agnostic: the Kubernetes framework. "GitOps" is a way to manage Kubernetes clusters and application delivery. I see 2020 as being the year GitOps goes mainstream. This practice works by using the Git version control system as a single source of truth for declaratively configured infrastructure and applications. A continuous delivery pipeline constantly watches for change in code repositories, and when detected, makes the target deployment environment match the desired specification. As Git is now at the center of your delivery process, engineers can self-serve for modifying infrastructure, deploying applications, and releasing new features, simply by issuing pull requests.
Richard Li
CEO, Datawire
Industry News
Mend.io and Sysdig unveiled a joint solution to help developers, DevOps, and security teams accelerate secure software delivery from development to deployment.
GitLab announced new innovations in GitLab 17 to streamline how organizations build, test, secure, and deploy software.
Kobiton announced the beta release of mobile test management, a new feature within its test automation platform.
Gearset announced its new CI/CD solution, Long Term Projects in Pipelines.
Rafay Systems has extended the capabilities of its enterprise PaaS for modern infrastructure to support graphics processing unit- (GPU-) based workloads.
NodeScript, a free, low-code developer environment for workflow automation and API integration, is released by UBIO.
IBM announced IBM Test Accelerator for Z, a solution designed to revolutionize testing on IBM Z, a tool that expedites the shift-left approach, fostering smooth collaboration between z/OS developers and testers.
StreamNative launched Ursa, a Kafka-compatible data streaming engine built on top of lakehouse storage.
GitKraken acquired code health innovator, CodeSee.
ServiceNow introduced a new no‑code development studio and new automation capabilities to accelerate and scale digital transformation across the enterprise.
Security Innovation has added new skills assessments to its Base Camp training platform for software security training.
CAST introduced CAST Highlight Extensions Marketplace — an integrated marketplace for the software intelligence product where users can effortlessly browse and download a diverse range of extensions and plugins.
Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI.
Traceable AI announced an Early Access Program for its new Generative AI API Security capabilities.