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.
DevOps has been the backbone of high-performing software development teams for more than a decade. In that time, the methodology has simultaneously improved quality, deployment speed, and customer experience (CX). Moreover, it has improved developer experience (DevX) by prioritizing incremental launches, freeing developers — and their code — from languishing in review.
Yet many experts believe the heyday of DevOps is coming to an end. Many of these observers claim the adoption and popularity of platform engineering will soon overtake DevOps. Others think DevOps — while not dead or dying — is a misleading term, obscuring the daily tasks and responsibilities of developers working under the DevOps banner. So, is it time to retire DevOps entirely?
Only time will tell. But I staunchly believe it's misguided to count DevOps out just yet. Instead, practitioners should expect DevOps to do what DevOps does best: develop and grow with the market.
A Brief History Lesson
Before DevOps' popularity, software organizations suffered from endemic dysfunction between two pivotal departments: application development and operations. Although working toward the same purpose, these teams often miscommunicated due to organizational silos. As a result, deployments were less secure and timely, outages more frequent, and customers were far less satisfied.
Circa 2009, DevOps revolutionized the software world by emphasizing collaboration between software developers and operations professionals. How this is done varies by company: Sometimes you put both skills in the same scrum team, sometimes you have operations teams building development platforms to enable developers to self-service things they couldn't before, and some companies expect the same person to be an expert in both skills. Since then, all these forms of DevOps have been pivotal in promoting agility and continuous integration and deployment (CI/CD) during the software development lifecycle (SDLC).
The DevOps mindset has also skyrocketed in popularity: In 2021, nearly three-quarters of organizations had adopted a DevOps approach (74%), up from just 47% in 2017. Even lagging teams have likely adopted DevOps-like practices, such as intelligent automation.
Over the years, DevOps has matured and undergone various transformations, including:
■ A shift to the cloud — The meteoric growth of public cloud infrastructure services has made the adoption and optimization of DevOps accelerate rapidly. More recently, elite teams employing DevOps have shifted toward cloud-native development and deployment and begun leveraging more advanced services, including serverless computing. These trends have been drivers for the continued advancement of DevOps.
■ Automation-first workflows — Early CI/CD tools like CruiseControl and Jenkins pushed DevOps forward by allowing developers to commit code more quickly and reliably. However, these self-managed toolkits have mostly given way to automated CI/CD tools requiring a less manual development pipeline.
■ DevSecOps — Perhaps the newest iteration of the DevOps methodology, DevSecOps does what its portmanteau suggests: It integrates security concerns during the earliest phases of the SDLC. DevSecOps improves customer outcomes by bolstering security parameters and automating as-yet manual security checks.
■ DevFinOps – Another recent iteration of DevOps, DevFinOps brings financial management into the shared responsibility of the DevOps team, not just making it countable for the application's development and operations, but also for its cost optimization.
These maturations have coalesced and transformed DevOps into a different beast than in 2009. I believe similar developments will carry DevOps well into the future — albeit in a different form influenced by modern developer and customer concerns.
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.