Business of DevOps
Ready or Not, AI is Rewriting the Rules for Software Testing
Saqib Jan | | Agent-Centric Testing, AI Red Team, AI Supervisor, autonomous AI agents, Behavior Validation, Compliance Requirements, Contextual Assertion Frameworks, Continuous Evaluation, Dynamic Testing, Infrastructure for Testing, MLOps, observability tools, QA Transformation, Reasoning Replay, software quality assurance, Testing Frameworks, Usability Testing for AI, Validation Frameworks.Discover how the emergence of autonomous AI agents is revolutionizing software quality assurance, emphasizing behavior validation, MLOps, and dynamic testing frameworks ...
From Automation to Autonomy: What AIOps Actually Looks Like Today
Ankush Dhar | | AI for IT operations, AI incident management, AI observability, AI runbook automation, AIOps, autonomous operations, DevOps automation limits, incident triage AI, MTTR reduction, operational automation AI, support ticket deflectionFor years, engineering leaders have been promised that automation would shrink operational work. CI/CD pipelines, runbooks, chatbots and DevOps tooling were supposed to mean reduced tickets, fewer incidents and fewer 3 a.m ...
Making CI/CD Pipelines Truly Autonomous — Safe and Observability-Driven Workflows With TypeScript, Python and Contract-First API Testing
Sapan Tiwari | | API contract testing, autonomous CI/CD pipelines, CI/CD observability, contract-first API testing, devops automation, devops best practices, pipeline orchestration, Python DevOps automation, Self-Healing Pipelines, TypeScript contractsLearn how to design safe, observable, and autonomous CI/CD pipelines using contract-first API testing, TypeScript for contract safety, Python for orchestration, and observability-driven decision making ...
Performance Engineering Analytics: Optimizing DevOps Pipelines Through Data Insights
Andrew Gus | | application performance engineering, CI/CD performance, data-driven DevOps, DevOps analytics, DevOps performance metrics, DevOps pipeline optimization, performance engineering analytics, pipeline efficiency, software delivery optimizationExplore how performance engineering analytics use data insights to optimize DevOps pipelines, improve system reliability, accelerate delivery, and enhance overall application performance ...
Five Great DevOps Job Opportunities
DevOps.com highlights the New Year's top DevOps job opportunities with competitive salaries from companies such as Microsoft and Adobe ...
AI is the new Junior Engineer
Mat Kovach | | AI adoption, AI and leadership, AI in software teams, devops culture, engineering culture, mentoring engineers, responsible AI useReal AI gains don’t come from hype or pilots. They come from teams with strong teaching, mentoring and engineering culture already in place ...
Surprise! Everybody Uses AI Tools for Software Development, Few Do So Securely
Teri Robinson | | AI security, AI-generated code, appsec, code security automation, Dependency Management, devsecops, SBoM, secure coding, software supply chain riskAI is generating code faster than teams can secure it, widening software supply chain risk and exposing major gaps in AppSec and governance ...
Harnessing ChatOps to Solve Enterprise-Wide Communication Challenges
Devin Partida | | chat based automation, chatbot DevOps, ChatOps, ChatOps automation, conversation driven collaboration, devops best practices, DevOps communication, DevOps workflows, DevSecOps collaboration, enterprise ChatOps, incident response ChatOps, Microsoft Teams ChatOps, Slack ChatOpsChatOps helps DevOps teams streamline communication by executing workflows directly in chat. Learn the benefits, use cases, and best practices for enterprise ChatOps adoption ...
Feeding the Beast: Why Giving Your Code to AI Agents Might Be Your Biggest Mistake Yet
Alexander Williams | | AI agent security risks, AI assisted development pitfalls, AI code automation risks, AI coding agents, AI data leakage, AI model drift, codebase governance, DevSecOps AI risk, generative AI code review, human in the loop coding, secure software development, software engineering AI, technical debt from AIYour codebase isn’t food, but AI agents are more than happy to devour it. Teams keep handing over entire repositories because automation feels like a cheat code for productivity. The problem shows up later, ...
Real-Time Anomaly Detection: Integrating Log Service With Agentic AI Pipelines
Neel Shah | | agentic AI DevOps, AI observability, AI-driven incident response, autonomous DevOps pipelines, cloud observability logs, DevOps anomaly detection, Isolation Forest anomaly detection, Kubernetes anomaly detection, LangChain agents, MLOps monitoring, MTTR reduction, OpenTelemetry monitoring, real-time anomaly detection, self-healing systemsLearn how agentic AI and real-time anomaly detection create self-healing DevOps pipelines. This guide covers architectures, code examples, and metrics to cut MTTR by up to 90% ...
Three Encryption Resolutions for DevSecOps in 2026
Jaya Mehmie | | AI supply chain attacks, automated certificate management, CA/B Forum code signing rules, certificate lifecycle management, CI/CD pipeline security, code signing certificates, dependency scanning security, DevSecOps compliance, DevSecOps New Year resolutions, DevSecOps supply chain security, open source supply chain risk, PKI for DevSecOps, secure software development lifecycle, self-signed certificate risks, software supply chain attacksAs supply chain attacks surge and AI-powered threats grow, DevSecOps teams must strengthen CI/CD security. Learn why PKI, code signing, and certificate automation are critical in the year ahead ...
Observability, SRE and Uptime in Telehealth Platforms: A DevOps Playbook
Michael Chukwube | | AIOps healthcare, healthcare IT operations, healthcare observability, HIPAA-compliant observability, OpenTelemetry healthcare, patient safety technology, site reliability engineering, SRE in healthcare, telehealth platform monitoring, telehealth reliability, telehealth uptime, telemedicine DevOps, virtual care infrastructureVirtual care went from a nice-to-have to a must-have during the COVID-19 pandemic and while in-person visits are starting to pick up again, telemedicine is here to stay. Its growth will continue: According to Health-tech companies, the telemedicine market was ...
