Microservices Journal
Microsoft Brings MCP to Geospatial Workflows With Planetary Computer Pro Tools for VS Code
Microsoft's Planetary Computer Pro MCP Tools for VS Code bring 35+ geospatial tools into GitHub Copilot via natural-language prompts ...
Why AI Won’t Solve the Hardest Part of Integrations
Michael Zuercher | | AI integrations, API management, integration platforms, operational complexity, SaaS infrastructureAI is making it easier for SaaS companies to build integrations. Give a coding agent decent API docs, some context about the systems involved, and a clear prompt, and it can get ...
The Automation Layer Wants to Own Enterprise AI
Alan Shimel | | AI agents, Automation Layer, Enterprise AI, Infrastructure Governance, Operational Trust, platform engineering, Probabilistic Systems, runtime securityOrganizations want AI systems capable of prioritizing alerts, routing workflows, coordinating across applications, initiating remediation steps, summarizing operational data and adapting dynamically based on changing context. The system is no longer following ...
1Password Allies With OpenAI to Secure Codex AI Coding Tool
Mike Vizard | | AI coding tools, credential security, devsecops, just-in-time credentials, MCP Server, Model Context Protocol, secrets management, Software Supply ChainDevSecOps teams can now manage coding agents as a tenant rather than another vault where secrets might be stored, ensuring credentials are never exposed to an AI agent or LLM as plain ...
We Spent 15 Years Automating Infrastructure. Now We’re Automating Decisions
Alan Shimel | | AI copilots, AI in operations, AIOps, Autonomous operational systems, cloud-native architecture, Deterministic vs probabilistic automation, devops evolution, gitops, IaC, Incident response AI, infrastructure as code, infrastructure automation, Operational judgment, Operational sovereignty, Platform engineering governance, Risk mitigation in AI, telemetry correlationAs DevOps shifts from deterministic infrastructure automation to AI-driven probabilistic judgment, organizations face a profound transition from automating tasks to automating operational reasoning. Discover why this requires a fundamental evolution in platform ...
5 Facts About AI Coding Agents from Comprehensive Benchmarking
Graham Neubig | | AI coding agents, benchmarking, developer tools, Large Language Models, software developmentAI coding agents are becoming more capable, but evaluating them is harder than it looks. Most benchmarks focus on a single dimension of agent capabilities; for instance, the popular SWE-Bench benchmark only ...
Five Great DevOps Job Opportunities
Mike Vizard | | application development, careers, devops, DevOps Software Engineer, Engineering Manager, job market, job market trends., jobs, principal software engineer, salary insights, site reliability engineering, software engineeringThis week's report features top employers including Capital One, Google, CLS US Services, Thrive Market, and Cisco Systems, providing insights into the job market and salaries for crucial roles in DevOps ...
Survey Sees Wider Adoption of AI Coding Tools Creating More DevOps Challenges
Mike Vizard | | AI coding tools, AI productivity, application security, ChatGPT, Code Generation, code review, coding automation, developer survey, devops challenges, GitHub Copilot, sensitive data exposure.Survey reveals 72% of developers use AI coding tools daily, generating 42% of code with AI. Trust issues persist, with 96% doubting AI code correctness ...
Five Great DevOps Job Opportunities
DevOps.com highlights the New Year's top DevOps job opportunities with competitive salaries from companies such as Microsoft and Adobe ...
Dynatrace Delivers on Promise to Observe AI Coding Tools from Google
Mike Vizard | | Agent-to-Agent A2A protocol, agentic AI, AI agents, AI Governance, AI telemetry, AI workflow observability, AIOps, DevOps observability, enterprise AI monitoring, Gemini CLI Extension, Gemini Enterprise, Linux Foundation, Model Context Protocol MCP, observability platform, root cause analysis, software development lifecycle SDLCDynatrace announced new integrations with Google Cloud Gemini Enterprise and Gemini CLI, using agentic AI, A2A protocol, and MCP servers to enhance observability, root-cause analysis, and DevOps governance across AI-driven workflows ...
Checkmarx Acquisition of Tromzo Accelerates Plan to Apply AI to Application Security
Mike Vizard | | AI agents, AI in cybersecurity, AI-powered security, application security, Application Security Posture Management, ASPM, DAST, devsecops, devsecops automation, SAST, SCA, SDLC security, secure software development lifecycle, Software Supply Chain Security, zero-day vulnerabilitiesCheckmarx accelerates its AI-driven DevSecOps strategy after acquiring Tromzo, integrating AI agents to automate application security across the software development lifecycle ...
Report: Microsoft, AWS and Google Atop Software Development Platform Heap
Mike Vizard | | AI in software development, application development, business value, competition in developer platforms, developer ecosystem, DevOps workflows, go-to-market execution, microsoft, platform innovation, Salesforce, Signal report, software development platforms, strategic vision, The Futurum GroupThe Futurum Group’s latest Signal report on Software Development Platforms names Microsoft, AWS, and Google as the top three providers, each achieving Elite status with scores above 90. Microsoft led across all ...
