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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 ...
The AI-Powered Evolution of Software Development
Vishwanath Krishnamurthy | | agentic AI, AI for developers, AI in DevOps, AI in software development, AI productivity tools, AI testing tools, AI-driven coding, AI-native applications, AI-powered development, AI. analytics, autonomous software operations, code optimization, devex, Future of Software Engineering, GitHub Copilot, intelligent automation, machine learning, OpenAI Codex, predictive maintenance, software qualityArtificial intelligence is revolutionizing software development—accelerating coding, improving quality, and enabling autonomous operations. From GitHub Copilot to AI-driven DevOps, businesses leveraging AI tools are building smarter, faster, and more adaptive applications ...
Is There Still a Difference Between DevOps and AIOps?
Alexander Williams | | AI in IT operations, AIOps, automated remediation, CI/CD, devops, digital transformation, intelligent automation, machine learning, observability, Predictive AnalyticsDevOps transformed software delivery through speed and collaboration. AIOps takes it further—adding AI-driven insight, anomaly detection, and intelligent automation. Together, they form the next evolution of IT operations: smart, adaptive, and self-healing ...
DevOps Workflow: The Key Elements and Tools Involved
Peter Baker | | agile methodology, Automated testing, automation tools, CI/CD, collaboration tools, continuous delivery, continuous improvement, continuous integration, devops best practices, devops culture, DevOps workflow, devsecops, feedback loops, GitHub Actions, GitLab CI, IaC, infrastructure as code, IT operations, logging, Microsoft Teams, monitoring, observability, Quality Assurance, software developmentWhat does a modern DevOps workflow look like? Click to learn about the essential elements, tools, and practices involved in the effective work process. ...
Your Next Secrets Leak is Hiding in AI Coding Tools
AI coding tools are accelerating secrets sprawl in Kubernetes workflows. Learn where leaks happen and how platform teams can contain the risk. ...
How I Automated My Most Tedious Task and Unlocked Our Growth Strategy
Automating the Tedious: Unlocking Our Growth Strategy In my role, I analyze data and guide strategies, without getting lost in the weeds of manual data entry. However, a significant part of my ...
How Cybersecurity Teams Can Work Better with DevOps
Samuel Ogbonna | | CI/CD, cloud security best practices, cyber security, devsecops, security automationDevOps teams move fast, but security can lag without the right approach. Often, cybersecurity and DevOps teams work separately, and that could lead to problems. To fix this, organizations must shift from ...
Cybersecurity Laws Will Shape the Future of DevOps
Alexander Williams | | auditability, CI/CD compliance, CISA, compliance-as-code, compliance-driven DevOps, cybersecurity compliance frameworks, cybersecurity regulation, DevOps accountability, devsecops, Executive Order 14028, global cybersecurity laws, governance in DevOps, incident disclosure, NIS2 Directive, RegOps, regulatory DevOps, SBoM, SEC breach disclosure, secure software development, secure-by-design, security automation, software liability, traceability, zero-trustFrom the EU’s NIS2 Directive to U.S. SEC breach disclosure rules, cybersecurity regulation is accelerating faster than code releases. DevOps teams must evolve into RegOps—embedding compliance, traceability, and trust directly into their ...
Context Engineering: The Next Frontier in AI-Driven DevOps
Arun Sanna | | agentic AI, AI in DevOps, AIOps, autonomous operations, context engineering, context-aware AI, devops, devops automation, Prompt Engineering, SREImagine a world where your on-call alerts are not just a cryptic message, but a rich, contextualized story of what's happening, why it's happening, and how to fix it. This is the ...
