Contributed Content
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 ...
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 ...
