Contributed Content
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 ...
Beyond the Prompt: A Quality-First Framework for AI-Assisted Engineering
Parthiban Rajasekaran | | agile development, AI-assisted development, Change Failure Rate, Code Review Practices, continuous improvement, Delivery Systems, DevOps practices, engineering teams, Fast Delivery, governance, incident management, kubernetes, mean time to restore, observability, Resilient Systems, Risk-Based Tiering, software quality, technical debtDiscover 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 ...
From Reactive to Predictive: Capacity Planning Systems That Actually Work
Muhammad Yawar Malik | | capacity planning, cloud infrastructure, Predictive Analytics, reliability engineering, scalingI 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 ...
When Systems Work But No One Wakes Up: The Failure Between Monitoring and Human Response
Judit Sharon | | alert escalation, incident response, Monitoring and observability, MTTA, on-call alerting, site reliabilityAt 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 ...
Vibe Your Way Into Payments With More Approachable Payment Integration
Luis Peña | | Cognitive Barrier, developer tools, developer workflow, Development Speed, Embedded Components, Engineering Oversight, error handling, Integration Safeguards, LLM Context, Manual Coding, natural language processing, Payment Flows, Payments Integration, Prototyping Payments, Recurring Payments, Revenue Opportunities, software development, Startup Payments, Tokenization, vibe codingExplore how vibe coding is changing the landscape of software development, simplifying payments integration and enabling faster prototyping using natural language ...
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 ...
Designing Privacy-Safe Logging at Scale: Lessons from Building Compliance-Aware Observability Systems
As regulatory scrutiny increases and distributed systems grow more complex, many organizations have accepted that privacy-safe logging is important. Fewer have figured out how to actually build it without sacrificing observability, developer ...
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 ...
