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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 ...
GitLab Delivers on AI Agents Promise to Automate DevOps Workflows
GitLab today made generally available an agentic artificial intelligence (AI) platform that automates software engineering tasks ranging from planning to application security. Coinciding with the release of version 18.8 of the core ...
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 ...
Yes, We Know AI Isn’t a Person
Let’s get the obvious out of the way right up front. AI isn’t a person. Thank you, Captain Obvious. We’re all on the same page. And yet, when we announced that AI ...
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 ...
Security Controls That Slow Teams Are Usually Poorly Designed
Venkata Nedunoori | | Approval Processes, automation, continuous change, devops, Friction Reduction, Gates vs. Guardrails, Human Oversight, incident management, Metrics for Success, operational efficiency, Policy Compliance., risk management, Security Controls, Security Workflow, Trust in SecurityDiscover 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 ...
Lessons from 2025: The Year “Agent Mitigation” Became a Thing
Abigail Wall | | Agent Mitigation, AI agents, AI Best Practices, AI security, cloud infrastructure, Continuous Evaluation, Data Exfiltration, Environment Orchestration, Incident Analysis, incident management, incident response, Mitigation Strategies., Public APIs, reliability engineering, risk management, Security ControlsExplore 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
Muhammad Yawar Malik | | AI integration, Automated Resolution, Autonomous SRE, Cross-Organization Learning, Human Oversight, incident management, Incident Prevention, infrastructure automation, operational efficiency, performance metrics, Predictive Architecture, Reasoning Agents, self-healing systems, SRE tools, system reliabilityPart 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
Muhammad Yawar Malik | | AI in SRE, Autonomous Systems, Confidence Calibration, continuous monitoring, Failure Patterns, human-in-the-loop, incident management, Incident Prevention, machine learning, operational efficiency, Predictive Intelligence, Problem Detection, Reasoning Agents, root cause analysis, SRE, tool integrationPart 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
Muhammad Yawar Malik | | AI agents, AI in SRE, automation, Autonomous Systems, Cost Justification, engineering efficiency, human-in-the-loop, incident management, Incident Prevention, LLM, observability, Operational Toil, Predictive Systems, Reasoning Systems, Runbooks, Safe Action Execution, SREPart one of a three-part series: Discover how AI-driven reasoning agents are revolutionizing SRE practices by eliminating traditional toil and enhancing incident management ...
