A SolarWinds survey of 317 IT professionals reveals that while APM tool adoption is near-universal, most teams use these tools to react to problems rather than prevent them—and training gaps remain the biggest barrier to improvement.
Pinterest, Spotify, Bose, and Adidas have all publicly committed to Kubernetes as a core part of their infrastructure. Here’s what drove each adoption and what they gained.
VMware built its reputation on virtual machines, but the rise of containers forced a strategic pivot. Here’s how VMware entered the container market, how it stacks up against Red Hat and Docker, and what challenges all three players face.
Atlassian has added significant road-mapping capabilities to Jira Software, including drag-and-drop dependency mapping, Confluence integration, and progress indicators—making it easier for DevOps teams to plan, track, and communicate software delivery.
AIOps platforms are converging artificial intelligence with DevOps workflows to manage application complexity, automate root-cause analysis, and create closed-loop IT operations across hybrid and multicloud environments.
Learn how Kubernetes Operators and API Microgateways address the core challenges of cloud-native API management, including security, rate limiting, and microservices deployment patterns.
The merger of XebiaLabs and CollabNet VersionOne signals a broader consolidation wave in DevOps tooling, driven by enterprise demand for value stream management and end-to-end software delivery platforms.
Digital transformation is not a finite technology project. It is an ongoing operating posture built on IT agility, loosely-coupled architecture, microservices, APIs, and effective management tooling.
From hyperscale infrastructure partnerships and cloud-native microservices to enhanced security postures and HPC workloads moving to the public cloud — here is what shaped cloud computing in 2020.
Enterprise Kubernetes adoption is accelerating fast, but security practices are struggling to keep up. Here’s what the data says about the state of K8s security and what teams should prioritize.
An overview of the microservices architecture pattern as applied to healthcare IT, covering deployment models, market segmentation, key technology vendors, and the drivers pushing adoption across hospitals, payers, and life sciences organizations.
From cloud-licensing tensions to the rise of Kubernetes operators and microservices-driven adoption, these four predictions from 2019 examine where open source was headed in 2020 — and why the trends still matter.
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StackRox CTO Ali Golshan outlined seven predictions for Kubernetes and cloud-native security in 2020, covering orchestration consolidation, service mesh maturity, third-party tooling, and the shift toward security as code.
Continuous integration and continuous delivery (CI/CD) shortens feedback cycles, reduces release risk, and improves developer productivity. Here are the four concrete steps every team needs to implement a working CI/CD pipeline.
How the Guardian’s engineering team evolved the QA function to keep pace with microservices and continuous deployment, introducing the Software Engineer (Tools and Infrastructure) role to embed quality throughout the development lifecycle.
AWS SageMaker Operators for Kubernetes bridges the gap between container orchestration and managed ML infrastructure, letting data science teams train, tune, and deploy models without leaving their Kubernetes workflows.
Moving from a monolithic application to a microservices architecture requires careful planning. These six proven best practices help engineering teams navigate the transition with less risk and greater efficiency.
Legacy infrastructure, siloed teams, and cultural inertia are the biggest blockers to digital transformation in banking. Microservices architecture and continuous delivery offer a proven path forward — but success requires structural, cultural, and technical change working in parallel.
Singapore-based startup Sentient.io is offering a platform of pre-trained AI microservices that allows developers without specialist AI expertise to add capabilities such as speech recognition and natural language processing to their applications via APIs.
