Business of DevOps
How Hyperconnected AI Development Creates a Multi-System Secret Sprawl
Guillaume Valadon | | AI development security, AI secret leaks, API key sprawl, Claude Code security, Cursor IDE risks, database credential leaks, GitHub secret exposure, hyperconnected AI workflows, large language model security, leaked API keys, MCP configuration files, MCP security risks, mcp.json leaks, OWASP AI testing, secret scanning toolsIf you've been building artificial intelligence (AI) tools lately, you've probably noticed something: Your development workflow has become incredibly connected. Tools such as model context protocol (MCP) sit at the center of it all, acting as the ‘brain’ that orchestrates how your large language ...
GitOps in the Wild: Scaling Continuous Delivery in Hybrid Cloud Environments
Ankur Mahida | | continuous delivery, devops automation, drift detection, GitOps architecture, GitOps at scale, GitOps best practices, GitOps case study, GitOps challenges, GitOps governance, GitOps observability, GitOps security, hybrid cloud GitOps, hybrid cloud operations, infrastructure as code, Kubernetes delivery, multi-cloud DevOps, Open Policy Agent, policy as codeA deep dive into scaling GitOps for hybrid and multi-cloud environments, exploring architecture, governance, security, observability and real-world enterprise practices ...
AI-Driven Performance Testing: A New Era for Software Quality
Akash Thakur | | AI agents, AI defect detection, AI in DevOps, AI load testing, AI observability, AI performance testing, AI testing tools, continuous assurance, intelligent performance systems, LLMs in testing, ML-driven QA, next-gen performance testing, performance automation, performance engineering, performance engineers, performance lifecycle, performance monitoring, performance optimization, predictive performance analysis, predictive testing, requirements as code, self-healing systems, software reliability, SRE automation, testing transformationDiscover how AI and large language models (LLMs) are revolutionizing performance testing—shifting from reactive load testing to predictive, continuous assurance powered by intelligent agents and automation ...
The Future of Observability: Predictive Root Cause Analysis Using AI
Karthikeyan Uthirapathy | | AI in DevOps, AI observability, AI-driven RCA, AI-powered monitoring, anomaly correlation, anomaly detection, artificial intelligence, automated incident response, cloud environments, devops, distributed systems, intelligent observability, kubernetes, logs metrics traces, machine learning, microservices, observability tools, Predictive Analytics, predictive monitoring, predictive root cause analysis, proactive observability, rca, self-healing systems, system reliabilityIn the past few years, systems have become more complex than ever. Microservices, Kubernetes, cloud environments and distributed application programming interfaces (APIs) have changed how we build and manage software. However, this complexity has also made it harder ...
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 ...
Vibe Coding Can Create Unseen Vulnerabilities
Jeff Kuo | | AI and cybersecurity, AI automation, AI code review, AI code validation, AI coding ethics, AI development oversight, AI hallucination, AI in app development, AI programming, AI software reliability, AI software security, black-box coding, developer in the loop, Firebase breach, GenAI, low-code platforms, no-code tools, secure coding practices, software quality assurance, technical debtVibe coding uses AI to write software fast — but without developer oversight, it can introduce security flaws, technical debt and compliance risks ...
Five Great DevOps Job Opportunities
DevOps brings you a weekly jobs report, including, this week, opportunities at Amentum, Oliver James and Morgan Stanley Services Group ...
MIT Researchers Propose a New Way to Build Software That Actually Makes Sense
Tom Smith | | AI coding tools, AI-assisted development, clean code architecture, code maintainability, code visibility, concept catalogs, devops automation, DevOps reliability, Large Language Models, LLM software development, modular software design, software engineering innovation, software transparency, system synchronizationMIT researchers propose a new framework to make software clearer and safer by organizing code into “concepts” and “synchronizations” for better visibility ...
AIOps for SRE — Using AI to Reduce On-Call Fatigue and Improve Reliability
Ankur Mahida | | AI for IT operations, AI-driven operations, AIOps, alert fatigue, anomaly detection, automated remediation, cloud operations, devops, event correlation, incident management, IT observability, machine learning in IT, noise reduction, predictive maintenance, reliability engineering, root cause analysis, self-healing systems, site reliability engineering, SRE, SRE automationSite reliability engineering (SRE) has become an emergent niche practice invented at Google to become a foundation of contemporary enterprise performance worldwide. With the continued growth of microservices, a multi-cloud infrastructure and continuous deployment pipelines adopted by ...
DevSecOps in Practice: Closing the Gap Between Development Speed and Security Assurance
Usman Peter | | application security automation, automated vulnerability scanning, CI/CD pipeline security, cloud and container security, continuous feedback loops, continuous security integration, developer security mindset, development speed and security balance, devsecops, DevSecOps best practices, risk-based security, SaferNet VPN, Secure DevOps, secure software development, security as code, security automation tools, security champions, security culture, shift left security, Software Supply Chain SecurityIn the world of modern software development, speed is king. Teams are under constant pressure to release features, fix bugs and stay ahead of competitors. Yet, as development velocity increases, so does ...
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 ...
From Code to Confidence: Building AI Apps That Earn User Trust
Chris Sheehan | | AI bias, AI ethics, AI Governance, AI quality assurance, AI testing, AI trust, Applause, bias detection, explainable AI, fairness, feedback loops, human-centered AI, inclusive testing, MLOps, model transparency, responsible AI, trustworthy AI, user confidence, user experienceAs 65% of users report issues with AI applications, trust has become the new UX battleground. Learn how developers can build fair, transparent, and reliable AI systems through human-centered testing, inclusive feedback ...
