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Split your Bitbucket Pipelines workflows across multiple files | Bitbucket Blitz | Atlassian
Building and maintaining a 2000+ line bitbucket-pipelines.yml can be a lot of work. Now you can split large bitbucket-pipelines.yml files into multiple, smaller pipelines.yml files. These smaller files can be composed via shared pipeline syntax to replicate the functionality of the original bitbucket-pipelines.yml file. They can also be shared with and reused in other repositories.
Todd's Tenth Rule of certificate automation
I’m an old engineer at heart. Many of my ideals were formed by Joel’s Things You Should Never Do, Fred’s No Silver Bullet, and Brian’s Big Ball of Mud. One of my favorites was Greenspun’s Tenth Rule: The joke isn’t really about programming languages. It’s about a pattern: certain problems have a shape, and no matter how you approach them, you end up building the same solution, in the same order, until you arrive at the same messy place.
What Every IT Operations Team Should Know About Managing IPv4 in 2026
IPv4 was supposed to be a temporary problem. Address exhaustion was meant to push the entire internet toward IPv6 within a decade, and operations teams could simply manage the transition and move on. That hasn't happened. Most enterprise networks still run dual-stack configurations, customer-facing services still depend heavily on IPv4, and the secondary market for addresses has become a permanent fixture of modern infrastructure planning.
Azure Monitor Collector: Monitor Your Entire Azure Infrastructure From Netdata
If you’re running infrastructure on Azure, you’ve probably dealt with the split between your Azure-native monitoring and the rest of your stack. Your VMs, databases, and Kubernetes clusters generate platform metrics through Azure Monitor, but those metrics live in a separate world from the OS-level, application, and on-prem metrics you’re already watching in Netdata.
90% AI Adoption. Still Failing. DORA Explains Why.
AI adoption is nearly universal. So why are most teams still struggling? In this session from GitKon, Nathen Harvey, head of DORA at Google Cloud, shares findings from the 2025 DORA State of AI-Assisted Software Development report, drawing on data from nearly 5,000 developers worldwide. The answer isn't more AI. It's what surrounds it.
Jira GitHub Integration: The Complete Guide
Most teams use Jira to plan work and GitHub to build it. The problem is those two tools don’t talk to each other by default. Developers end up manually copying commit references into tickets, project managers hunt through GitHub to answer basic status questions, and sprint reviews become archaeology expeditions through two disconnected systems. Git Integration for Jira closes that gap.
Understanding disaggregated GenAI model serving with llm-d
llm-d is an open source solution for managing high-scale, high-performance Large Language Model (LLM) deployments. LLMs are at the heart of generative AI – so when you chat with ChatGPT or Gemini, you’re talking to an LLM. Simple LLM deployments – where an LLM is deployed to a single server – can suffer from latency issues, even with just one user. This can be because of lack of memory-bandwidth on the server, or because of KV cache pressure on system memory.
Eliminate Manual Authentication Configuration for Fast & Effective API Security Scanning | Harness Blog
Application security testing tools promise coverage and accuracy, but teams often struggle just to get started. One of the biggest friction points in dynamic application security testing is configuring authentication correctly so a scanner can even access a target application, let alone API endpoints that power the functionality. Whether it’s API keys, bearer tokens, or custom auth flows, setting up authentication for scans frequently requires trial-and-error and engineering support.