Tag: devops
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Making long-term projects more agile, less waterfall
Replace multi-year forecasts with real-time discovery of operational friction. Instead of a five-year requirement for a “targeting system,” identify the bottleneck–like a three-hour targeting approval process. Set a goal–like reducing the approval process to 30 minutes. And empower a team to solve it. In this Kessel Run example, the requirement was an outcome, not a…
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🤖 AI Collapses Build Costs but Expands Alignment Burdens for Senior Engineers
Original: Is this sustainable? by Jamie Hurst. Summarized by AI on June 3, 2026. AI has collapsed the distance between idea and implementation. Senior engineers can now move from concept to working proof-of-concept in days, bypassing the old cycle of proposals, approvals, and sequential team work. This shift has replaced slide decks with demos, rewarding…
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Why aren’t all images super-secure, or hardned?
Here’s what I learned: container base images grew up as a developer convenience tool, not a security artifact. Installing extra packages from the command line is one of the first things any Docker tutorial teaches–Docker’s own Dockerfile guide includes apt-get install–and many of the most popular official images ship a full toolchain by default, with…
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Patching CVEs at AI speed is a platform engineering problem
AI-assisted vulnerability discovery cut the gap from CVE published to weaponized exploit from weeks to hours. Quarterly patch windows and hand-rolled CVE spreadsheets are no longer a defensible posture.
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The New Bottleneck That Will Chill Your AI Vibes
Platforms are helpful, from 2025 DORA Report. Getting software from idea to production quickly has always been important, but the increase in AI-driven application deploys is about to overwhelm even the best laid golden path to production. We can feel in our bones developers are already revving apps more frequently. The 2025 DORA Report found…
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When Developer Workflow Discipline Isn’t Enough thectoadvisor.com/blog/2026… Selling cross-silo enterprise infrastructure stuff is very difficult: These are platform engineering objections. And they’re coming from a team the vendor never talked to. Because the vendor optimized their story for developer adoption. They have research that tells them developers love this. What they don’t have is a…
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This week’s Software Defined Interviews: we talk with Nathen Harvey, who leads the DORA research program at Google Cloud. They talk about what 15 years of DevOps and delivery data actually says about AI. The answer feels something like “it makes you even better at what you’re already good at.” High-performing teams get better, while…
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Containers running in VMs 4ever
“IDC forecasts that nearly 85% of all containers will continue running inside VMs through 2028 because enterprises trust the virtualization layer for governance, security, and operational control.” 🔗 Why a Single Platform for VMs and Containers Is the Future of Modern IT
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Write your AI stuff in the languages you know and that are running your organization
From my recent article on The New Stack: The choice of where and how to start your AI journey is a business decision, not a technology one. By grounding your AI efforts in the operational muscle you’ve already built with Java and Spring, you minimize friction and risk. Everyone just keeps doing what they’re doing,…
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A race against software calcification
Eventually, software is very hard to change. There are numerous reasons for this, and they often don’t even involve the software. The systems that run the software are old, regulators don’t let you change things, security controls, people have just forgotten how to program COBOL. There is so much code that it’s hard to know…
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Why people build their own platforms anyway – resume-driven development and the joy of building
Every list of reasons to build your own platform leaves off the real ones: resume-driven development, and that builders like building things. Do you fight that, or adapt the platform philosophy to it?
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Digital Transformation Fatigue, and how to get over it – DOGE case study
This is the story of most large IT transformation/modernization efforts. Once the executives that started it leaves, it stops. Then a new one comes in that does almost the opposite. Put all your apps in the cloud, bring all your apps on-premises. Tide goes out, tide comes in. That pattern of course fuels staff “modernization…
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The platform that needs a platform
How big is the Kubernetes market? Here’s an estimate from a recent IDC PDF: The rapid growth of cloud-native applications, driven by DevOps, containers, and microservices, has made container orchestration a critical capability because containers are challenging to manage at scale without an orchestration layer. This trend is driving significant market growth, with IDC forecasting…
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Platform Engineering Anti-Patterns
This is has some new material in it, not just the same old transformation discussion from agile and DevOps. So: thumbs up! 🔗 8 platform engineering anti-patterns
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Actually changing is what matters most
If you make huge changes to how your under performing business works, there’s a good chance you’ll improve things. That applies whether you introduce a new tool – like AI – or not. Just changing how you run meetings for example is a big enough change that could have massive effects. You could say the…
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Fly includes an audacious reimagining of the software development process, making versioning automatic and version names obsolete.
‘JFrog Fly is the company’s agentic developer platform and an MCP server that works with multiple IDEs, including VS Code and Cursor. Integrated with GitHub and observability, Fly provides a chat interface that allows users to query, promote, and roll back existing releases based on specifics of the code (e.g., “Which features were added to…
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🤖 Bain Says GenAI Coding Hype Falls Flat Without Full Software Lifecycle Rethink
Generative AI stormed into software development promising a coding revolution, but so far, it’s making developers only marginally faster—and in some cases, slower. Bain & Company’s Technology Report 2025 argues that real productivity gains will require a wholesale reinvention of the entire development lifecycle, not just sprinkling AI on coding tasks. AI generated summary of:…
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No More Coders? You Still Need DevOps.


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