Application Performance Management/Monitoring
Why Agent Skills Are the Next Evolution of Software Development
The emergence of agent skills — modular, reusable blocks of natural language instructions and metadata — is transforming the developer’s role ...
AI in Production Has a Governance Problem — ISO/IEC 42001 is Starting to Solve It
Moving fast without losing control is the core promise of DevOps. Extending this discipline to AI is the next logical step, supported by existing frameworks. ...
Why AI Makes Requirements a Runtime Artifact
Tom Hollowell | | AI behavior, AI Governance, AI requirements, continuous verification, MLOps, model drift, production monitoring, requirements traceability, runtime constraintsIn traditional software, requirements are static design-time artifacts. In AI-enabled systems, they must be continuously observed and enforced in production. Learn how AI collapses the boundary between design-time and runtime, shifting requirements ...
Beyond Test Case Generation: How to Create Intelligent Quality Ecosystems
Hélder Ferreira | | AI‑infused product testing, BDD, CI triage, drift detection, flaky tests, GenAI QA, intelligent automation, intent‑based assertions, lifecycle intelligence, prompt variation, QA governance, regression risk, review‑first governance, test case generation, test coverage management., test data generation, Test Maintenance, test orchestrationMove GenAI in QA from test‑factory to life‑cycle intelligence: AI proposes coverage and data, humans review, deterministic automation executes—focus on risk‑aligned coverage, drift detection, and governance ...
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 ...
Why Your SLO Dashboard is Lying: Moving Beyond Vanity Metrics in Production
Muhammad Yawar Malik | | API latency, business context, business metrics, business resilience, business-aligned SLOs, context-aware monitoring, customer impact, data-driven DevOps, devops, engineering reliability, enterprise customers, enterprise reliability, error budget management, error budgets, incident management, incident prioritization, observability, performance monitoring, reliability engineering, reliability framework, reliability strategy, revenue-weighted SLOs, service availability, Service Level Objectives, site reliability engineering, SLA optimization, SLIs, SLOs, SRE, uptime, uptime metrics, user segmentationDiscover how redefining service level objectives (SLOs) around business impact — not vanity uptime metrics — reduced incidents by 75% and saved $2.3M in lost revenue ...
5 Pillars of Successful Web App Development
Roman Davydov | | app development best practices, app performance, cloud hosting, cross-platform compatibility, custom web apps, devops, digital transformation, Enterprise software, Itransition, microservices, responsive design, scalability, secure coding, software development, user-centric design, UX design, web app development, web architecture, web securityToday, building a high-quality and competitive web application requires more than just clean code, a user-friendly UX and good development practices. The success of such a project also hinges on creating a strategic approach and prioritizing components ...
How AIOps is Revolutionizing DevOps Monitoring in the Cloud Era
Joydip Kanjilal | | AI in IT operations, AI-Driven DevOps, AIOps, anomaly detection, automation in cloud, CI/CD pipelines, Cloud Computing, cloud-native monitoring, devops, digital transformation, hybrid cloud, incident management, intelligent automation, observability, Operational Excellence, Predictive Analytics, predictive monitoringAs cloud-native systems grow more complex, traditional monitoring falls short. AIOps brings AI, automation, and predictive insights to DevOps—enabling real-time detection, diagnosis, and resolution across distributed environments for faster, smarter operations ...
End-to-End Visibility: The Role of Observability in Frontend and Backend Systems
Have disappointing slowdowns, elusive bugs, and misleading outages ever affected your digital system, even when traditional monitoring shows "all green"? Today's users demand spontaneous experiences, but DevOps, SRE and software teams often ...
Mobile Apps Are Under Attack — And App Stores Will Not Protect You
Alex Vakulov | | App Data Breach, App Hardening, App Store Security, App Vulnerabilities, Secure App Development, secure developmentAdvanced tactics allow attackers to break into mobile apps from the inside, bypass authentication systems, and compromise sensitive user information through deepfake-powered identity fraud. ...
Perforce Adds Autonomous AI Agent to Test Mobile Apps
Perforce Software today added an artificial intelligence (AI) agent that autonomously adapts tests it has created as changes are made to mobile computing applications. Don Jackson, technical evangelist for Perforce, said via ...
7 Best Practices to Monitor Your Microservices
Effective monitoring isn't a single thing; it's a synergistic approach built on three foundational pillars. Neglect even one, and you're flying blind. ...
