Contributed Content
Bot-Driven Development: Redefining DevOps Workflow
Oluwakorede Akinsete | | agentic AI, AI collaboration, AI in DevOps, AI-powered tools, automation challenges, AWS CodeGuru, bot-driven development, CI/CD pipeline, continuous integration, devops automation, DevOps productivity tools, GitHub Copilot, hybrid model, intelligent agents, operational efficiency, Security in Devops, software lifecycle, workflow reinventionExplore 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
Sundeep Bobba | | AI accountability, AI automation risks, AI decision-making, AI in DevOps, CI/CD pipelines, DevOps governance, DevOps Leadership, explainable AI, responsible AI, software delivery trustAs 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 ...
Software Supply Chain Threats Are on the OWASP Top Ten—Yet Nothing Will Change Unless We Do
Joseph M. Saunders | | open source security, OWASP Top 10, SBoM, Software Supply Chain Security, supply chain attacksSoftware 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 ...
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
Parthiban Rajasekaran | | alert fatigue reduction, availability metrics, bucketed SLIs, DevOps observability, engineering reliability strategy, reliability metrics, site reliability engineering, SLI SLO best practices, SRE monitoringGlobal 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
Arun Sanna | | AI cloud operations, AWS automation, cloud observability, cross-service intelligence, dependency mapping AWS, DevOps AI assistants, incident investigation AI, MCP Server, Model Context ProtocolAWS 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
Pramod Muppala | | automation, change management, Configuration as Code, middleware stability, observability, progressive delivery, resilient middlewareTransform 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
Debashis Bhattacharyya | | CI/CD pipelines, DevOps mainframe, Endevor Git integration, enterprise devops, Jenkins mainframe, legacy application modernization, legacy modernization, mainframe automation, mainframe CI/CD, mainframe DevOps, mainframe security, Zowe CLIMainframes 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
Muhammad Yawar Malik | | AWS costs, CI/CD cost checks, cloud cost management, cloud spend optimization, cost as code, cost per transaction, developer accountability, devops, engineering cost ownership, FinOps, FinOps 2026, infrastructure costsIn 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
Karthikeyan Rajamani | | AI incident management, AI troubleshooting assistant, AI-powered runbooks, AI-powered SRE tools, ChatOps incident management, DevOps GenAI, enterprise ChatOps, GenAI DevOps architecture, GenAI incident response, multilingual incident response, reduce MTTR, retrieval augmented generation AWS, SRE automation, SRE runbooks automation, vector database runbooksLearn 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
Arun Sanna | | AI agents, AI infrastructure, Behavioral Monitoring, Cross-LLM Detection, Cybersecurity, devops, DevOps pipelines, incident management, Model-Aware Detection, Multi-LLM Environments, security best practices, Security Gaps, supply chain security, threat detection, vulnerability managementExplore 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
Artem Barmin | | Code Assessment, code quality, Component Architecture, Engineering Practices., ES6 Syntax, incident management, jQuery Usage, Legacy JavaScript, Modern JavaScript, Outdated Dependencies, Runbooks, software development, software modernization, testing strategy, web developmentLearn how to identify legacy JavaScript projects by examining outdated practices, architectural choices, and testing strategies that can hinder development ...
