Cloud Native Cost Optimization: 7 Strategies That Work In 2026
Cloud native cost optimization requires rethinking how you track containers, serverless, and microservices spend. Here's a framework for 2026.
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Share artifacts between parent and child pipelines | Bitbucket Blitz | Atlassian
Bitbucket Pipelines lets you build reusable pipelines and share them across repositories. These reusable, shared pipelines need a way to share artifacts. Otherwise, we’ll have to repeat expensive steps such as downloading and installing dependencies and building the application code. You can now specify an artifacts section for child pipelines, with upload and download keywords. Artifacts listed under upload will be moved from the parent pipeline into the child pipeline, where they can be used and potentially modified.
Why does treating the application as just code no longer work?
Most “application issues” don’t start in the code. They start somewhere deeper in the delivery system. If you can’t see beyond the trace, you’re only seeing half the story.
Harness Cursor Plugin Demo: AI for Software Delivery from Your IDE
Stop context-switching between your IDE and your CI/CD dashboards. In this video, we demonstrate the new Harness Cursor Plugin, a native integration that brings the full power of the Harness AI Software Delivery Platform directly into Cursor. Using the Cursor Agent window and the new Harness Model Context Protocol (MCP) server, you can now manage your entire software delivery lifecycle through natural language. From triggering pipelines to governing deployments, this plugin ensures you stay in your flow while maintaining enterprise-grade security and control.
Inside Atlassian's Merge Queues: How we ship faster with fewer incidents
At Atlassian, we use Merge Queues to ship frequent changes with confidence and streamline pull request merges. Across some of our busiest codebases, Merge Queues have sharply reduced incident frequency and turned merging from a stressful bottleneck into a background task. Today, most of our largest repositories rely on Merge Queues—over 70 large repos across products like Jira, Rovo, Trello, and others—having safely landed 30,000 pull requests since adopting Merge Queues Beta last quarter.
End-to-End Trace Propagation Across SQS and Lambda with OpenTelemetry
SQS doesn't propagate trace context automatically. You instrument both sides, deploy, and get two disconnected traces. This post shows how to wire them into one waterfall — and the ESM format gotcha that silently breaks it every time. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.
Optical Freedom as a Design Principle: How Ribbon Enables Choice and Supply Chain Resiliency
Pandemic-era shortages are still fresh in many minds. As consumers, we remember empty shelves and long lines driven by panic buying and stockpiling. In telecom, the story played out differently but with the same root cause: factory shutdowns interrupted chip fabrication just as demand for networking and optical equipment surged.
Announcing HAProxy Enterprise 3.3 and HAProxy ALOHA 18.0
We're excited to announce the release of HAProxy Enterprise 3.3, which brings significant advancements to the HAProxy Enterprise WAF and bot management capabilities.
last9-genai: Closing the Conversation Gap in LLM Observability
OpenTelemetry's GenAI instrumentation gives you spans and token counts. It does not give you conversations, workflow cost rollups, or prompts visible in your dashboard. last9-genai is an OTel extension that fills those three gaps — without replacing your existing observability stack. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.
How to Exclude Health Check Endpoints from Python OTel Traces
Health check endpoints generate thousands of identical, useless spans per day. Here are two production-ready approaches to filter them from your Python OTel traces — and the correctness trap most implementations miss. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.