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Most read news & articles within last 7 days
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 ...
DevOps Didn’t Fail — We Just Finally Gave it the Tools it Deserved
Alan Shimel | | AI in DevOps, Cultural Change, devops evolution, DevOps Success, feedback loops, observability, software reliability, tech industry debateCharity Majors delivers a wake-up jab to DevOps, sparking debate on its evolution and success. Is it a failure or just getting interesting? Alan dives into the discussion ...
Harness Adds AI Agent to Help Investigate Incidents
Harness today added an artificial intelligence (AI) agent to its portfolio that has been specifically trained to help DevOps teams investigate events that occurred prior to an incident. Tina Huang, vice president ...
Five Great DevOps Job Opportunities
Mike Vizard | | career opportunities, DevOps job report, DevOps salaries, Fox Corp, job market insights, software engineeringDiscover top DevOps job opportunities this week from JP Morgan Chase, SpaceX, BBR Partners, Fox Corp, and Veeva Systems, designed to help professionals advance their careers ...
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 ...
Testlio Adds AI Tool to Generate Dashboards on App Testing Service
Mike Vizard | | AI hallucination detection, AI-assisted QA, AI-powered application testing, DevOps quality assurance, DevOps testing guardrails, managed testing services, software testing analyticsTestlio enhances its testing platform with AI-generated dashboards that correlate over 100 signals, helping DevOps and business leaders spot quality, risk, and AI-related issues faster ...
Autoptic Unfurls AI Change Resilience Agents to Analyze Telemetry Data
Mike Vizard | | AI for DevOps, AI incident detection, change resilience agents, DevOps observability, DevOps telemetry analysis, OpenTelemetry DevOps, production incident prevention, root cause analysis AIAutoptic launches AI-powered change resilience agents that analyze DevOps telemetry to detect root causes, prevent incidents, and boost confidence before production changes ...
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 ...
DevOps: The Never-Ending Story
Alan Shimel | | AI and DevOps, devops culture, devops evolution, DevOps tooling, engineering collaboration, is DevOps dead, modern DevOps practices, platform engineering and DevOps, SRE and DevOpsA reflective take from Alan on why DevOps endures, adapts, and remains a human-centered practice in an era of platforms and AI ...
