Business of DevOps
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 ...
Gain Control of Your Innovation With Low Code Technologies
Claudia Mirza | | application development, automation, business agility, business innovation, cloud platform, collaboration, digital transformation, digital workflow, enterprise productivity, Enterprise software, integration, low-code development, no-code tools, operational efficiency, orchestration, process orchestration, rapid app development, RunMyProcess, visual development, workflow automationLow-code development and orchestration are redefining how enterprises build, connect, and scale digital systems. Discover how platforms like RunMyProcess empower teams to create applications faster, automate workflows, and drive collaboration, agility, and ...
Observe Adds Two AI Agents to Improve Observability
Mike Vizard | | AI debugging, AI in DevOps, AI observability, AI SRE Agent, AIOps, code instrumentation, developer productivity, devops automation, incident triage, MCP Server, Model Context Protocol, observability platform, OpenAI Codex, OpenTelemetry, SRE automation, Telemetry dataObserve Inc. introduces the AI SRE Agent and o11y.ai Agent to its observability platform—empowering DevOps teams to automate incident triage, generate OpenTelemetry code, and query application performance using natural language for faster, ...
Kong Adds MCP Support to Tool for Designing and Testing APIs
Mike Vizard | | AI APIs, AI security, Anthropic, API debugging, API management, API observability, API testing, compliance, devops, Git Sync, Insomnia 12, Insomnia MCP support, Kong Inc, Large Language Models, LLM integration, Marco Palladino, MCP, MCP clients, MCP servers, Model Context Protocol, open source tools, RBACKong Inc. has integrated Model Context Protocol (MCP) support into Insomnia 12, enabling DevOps teams to design, test, and secure MCP clients and servers for AI-driven APIs—reducing misconfigurations and enhancing compliance in ...
How AI Code Assistants Can Save 1,000 Years of Developer Time
Dr. Michael Kwok | | AI code generation, AI coding assistants, AI development tools, AI for developers, AI in software development, AI pair programming, AI-assisted programming, automation in coding, code quality, coding automation, developer efficiency, developer productivity, generative AI tools, innovation in DevOps, software modernization, time savingsAI code assistants like GitHub Copilot and IBM watsonx Code Assistant are transforming software development—automating routine tasks, improving code quality, and saving developers up to 200 hours a year. The result: faster ...
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 ...
