Top 15 DevOps Trends to Watch in 2026
Launched in 2008, the audio streaming platform Spotify has more than 200 million active users worldwide. Initially, Spotify relied on a homegrown container orchestration system called Helios. In 2017, this became a bottleneck, and the IT team implemented Kubernetes, which increased speed while reducing costs. With Kubernetes, the Spotify backend team can develop new services […]
Bot-Driven Development: Redefining DevOps Workflow
Explore the future of DevOps with bot-driven development (BotDD) that integrates AI-powered tools. Learn how intelligent agents enhance automation, testing, and project management, transforming the software lifecycle.
Why Responsible AI Isn’t Optional in DevOps – It’s the Next Frontier of Ownership
As AI takes on decision-making roles inside CI/CD pipelines, DevOps teams face a new challenge: Accountability. This article explores why responsible AI governance is now a core DevOps responsibility and a leadership imperative.
Software Supply Chain Threats Are on the OWASP Top Ten—Yet Nothing Will Change Unless We Do
Software supply chain security is steadily moving to the forefront of cybersecurity conversations. In the past, it has been overshadowed by a focus on malware outbreaks, ransomware, endpoint protection, and application vulnerabilities. That changed this month, when OWASP elevated software supply chain failures to third place on its 2025 Top 10 list. The OWASP Top […]
The Four Knobs of AI Agent Reliability: A DevOps Perspective
AI agents aren’t chatbots—they’re systems that act. This guide cuts through the hype to show how DevOps teams can configure, trust, and run AI agents reliably in production.
Stop Worshipping ‘Global Availability’: A Practical SLI/SLO Bucketing Playbook
Global availability hides real failures. Learn why bucketed SLIs give a truer picture of reliability—and how SRE teams can align alerts with real business impact.
AWS Sage: Your AI Assistant’s Gateway to the Cloud
AWS Sage is an open-source MCP server that gives AI assistants unified, intelligent access to AWS with cross-service discovery, dependency mapping, impact analysis, and automated incident investigation.
Resilient Middleware at Scale: Using YAML and Ansible to Harden Apache, WebLogic and Tomcat
Transform your middleware into a resilient powerhouse with automation, consistent configuration, and progressive delivery. Discover how to reduce downtime and increase stability across Apache, Tomcat, WLS, and more.
Establishing DevOps for Mainframe Applications
Mainframes don’t have to block DevOps. Learn how extending CI/CD, Git, and security scanning to mainframe applications modernizes delivery without replacing mission-critical systems.
FinOps Meets DevOps: Engineering Cost Ownership in 2026
In 2026, cloud cost overruns stop being finance’s problem and become an engineering responsibility. Here’s how treating cost as code finally makes FinOps work.
Building a GenAI-RAG Runbooks-Based ChatOps Assistant in AWS Bedrock With MS Teams Integration for Incident Management
Learn how AWS Bedrock, retrieval-augmented generation (RAG), and ChatOps in Microsoft Teams transform incident response by turning fragmented runbooks into a GenAI-powered assistant that reduces MTTR and improves SRE efficiency.
Your AI Agents Have a Blind Spot: What DevOps Teams Need to Know About Cross-LLM Security
Explore the challenges of AI agents in DevOps pipelines, highlighting the importance of model-aware detection to improve security and reduce vulnerabilities.
(Almost) Seven Signs That Your JavaScript Project is Legacy
Learn how to identify legacy JavaScript projects by examining outdated practices, architectural choices, and testing strategies that can hinder development.
Security Controls That Slow Teams Are Usually Poorly Designed
Discover strategies to enhance security controls in DevOps, emphasizing the shift from gates to guardrails and the importance of designing around real workflows.
DevSecOps In Digital Banking: Balancing Fast Releases With Regulatory Compliance
In the digital banking sector, fast releases of new features and security patches have become the norm. Unfortunately, many institutions lack the organization or the processes necessary to make the speed of necessary releases coincide with the need to follow strict regulatory guidelines. A failure to accurately test and ensure compliance can lead to critical […]
Lessons from 2025: The Year “Agent Mitigation” Became a Thing
Explore the emergence of agent mitigation as a formal discipline in response to 2025’s AI failures, highlighting best practices for secure and reliable AI agent deployment.
Part 3: The Zero-Touch Infrastructure: Architecting Systems That Fix Themselves
Part 3: Discover how autonomous SRE transforms incident management and system reliability, enabling self-healing systems that reduce reliance on human intervention.
Part 2: From Reactive to Predictive: Training LLMs on Your Incident History
Part 2: Discover how to harness incident history and AI to predict and prevent operational issues before they escalate, improving efficiency in Site Reliability Engineering.
Part 1: Death of the Toil: How AI Agents Are Replacing Traditional Runbooks
Part one of a three-part series: Discover how AI-driven reasoning agents are revolutionizing SRE practices by eliminating traditional toil and enhancing incident management.
Beyond the Prompt: A Quality-First Framework for AI-Assisted Engineering
Discover strategies for managing AI-generated technical debt and maintaining quality in software delivery as engineering teams accelerate their development processes.
Importance of Observability in the DevSecOps Pipeline: Enhancing Security, Compliance, and Collaboration
In today’s rapidly developing software world, security cannot be an afterthought. DevSecOps, the integration of security practices into every phase of DevOps, requires continuous monitoring and actionable insights to detect and mitigate threats effectively. Observability plays an essential role in this ecosystem by providing deep visibility into the security posture of the development process, enabling […]
From Reactive to Predictive: Capacity Planning Systems That Actually Work
I used to think capacity planning was about setting up CloudWatch alarms and hoping they’d fire before things broke. Spoiler: that’s not capacity planning—that’s just reactive firefighting with extra steps. Real capacity planning means knowing you’ll need more database capacity three weeks from now, not three minutes after your site starts timing out. It means […]
When Systems Work But No One Wakes Up: The Failure Between Monitoring and Human Response
At 2:07 a.m., a core production node went down. CPU usage spiked, latency ballooned and requests started timing out across the cluster. Monitoring tools caught it instantly as dashboards glowed red, alert rules fired and incident payloads were dutifully sent downstream. Everything functioned exactly as designed. Except no one responded. The alert reached every configured […]