Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
Kubernetes is increasingly important to organizations' DevOps journeys as they look to manage cloud-native container implementation. The 2021 Annual Survey conducted by the Cloud Native Computing Foundation (CNCF) revealed that 96 percent of respondents reported using or evaluating Kubernetes. Although the uptick of Kubernetes is unprecedented, the learning curve is steep. Organizations know they will benefit from Kubernetes adoption, but they don't necessarily have the skills and technical knowledge to get started.
With so much at stake in delivering better software faster, it is important to set up for Kubernetes success from the very beginning. I asked some industry experts if they had tips on how to get started, and here are the top tips I received:
Parveen Kr. Arora, Co-Founder & Director, VVnT SeQuor
There's a lot to learn about Kubernetes. A good starting point is to use Kubernetes' own vocabulary, which people can develop proficiency with over time. The glossary in the official documentation can help anyone get up to speed on the lingo. Also, there are plenty of readily available other ways to learn Kubernetes from, i.e., articles, books, courses and more. Then one can gain expertise by acquiring professional certifications.
Erez Barak, VP of Observability, Sumo Logic, SKILup Day Sponsor
Today, Kubernetes is a technology that has huge promise, but has a deep learning curve, and is in its early stages of maturity with some serious barriers to mainstream adoption. For organizations to get started with Kubernetes, leaders should first allocate time and investment for continuing education to give team members the time and space to up-level their skills. This continuing education provides employees a great growth opportunity and is wonderful to build a bench of skills inside of your organization.
The other way to get started is to determine a project that your team can experiment with and "play safely" with the new technology. As part of that experimentation, teams can help determine how Kubernetes will impact the rest of the organization (e.g., the processes and tooling required to deliver, run and monitor that software).
Vishnu Vasudevan, Head of Product Engineering & Management, Opsera
There are two ways to look at getting started with Kubernetes. If a person is looking into how to help their organization get started, that requires several questions to be answered beforehand. These would include things like, is containerized app development suitable for the company?
Are we directly deploying and managing Kubernetes ourselves or leveraging a Platform-as-a-Service (PaaS) approach?
Who needs to be involved, and what standard practices do we need to develop as a team?
Suppose a person is approaching how to get started with Kubernetes themselves. In that case, the first step is gaining a basic understanding of the cluster orchestration system through learning materials or online tutorials. For example, Kubernetes.io provides an interactive tutorial that covers six learning modules that will help an individual learn a basic understanding of how to: deploy a containerized application on a cluster, scale the deployment, update the containerized application with a new software version, and debugging the containerized application. There are plenty of free and online resources the Kubernetes community has produced to help people just get started, as well as dedicated workshops and local meetups to help even the most novice of practitioners learn how it works and why it is important.
There are many considerations before adopting Kubernetes. Learning the terminology, investing in education, experimentation, and leveraging available resources online are all practical ways to get started. For more insights about what you need for Kubernetes success, join us for a full day of "how-to" learning during SKILup Day: Enterprise Kubernetes on March 17, 2022.
Industry News
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.
Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.
Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.
Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.