Operations | Monitoring | ITSM | DevOps | Cloud

Share artifacts between parent and child pipelines

As part of an initiative to increase the flexibility and power of child pipelines, we are happy to announce that Bitbucket Pipelines will now allow you to share artifacts between parent and child pipelines. This feature extends the use-cases for child pipelines, allowing a greater degree of coordination between parent and child and the use of child-pipelines as modular pieces of processing for larger operations with artifacts. Here’s how it works.

Introducing on-demand Pipelines: run pipelines via API

Your CI/CD pipeline doesn’t have to live in a YAML file anymore. With on-demand pipelines, you can generate pipeline definitions programmatically, from scripts, services, or automation tools – and execute them instantly via the Pipelines API. No commit. No pull request. No static configuration to modify. Just build the YAML your situation demands and run it.

DataPrime at Ingest: Fine-Grained TCO Routing with DPXL

The real economic decision for observability happens at ingest, before storage, billing, and retention choices are locked-in. Until now, the logic governing that decision could only see three broad fields: application, subsystem, and severity. That just changed. TCO routing now matches on any field in the event payload, including nested keys, custom fields, and event body content, using DPXL, the DataPrime Expression Language.

AI SRE Summit 2026 Brings Together Engineering Leaders From AWS, Salesforce, Man Group, Smarsh, Honeycomb and More

Virtual event will explore what it takes to use AI in production SRE, from incident response and observability to platform design, cost control and self-healing operations TEL AVIV and SAN FRANCISCO, April 22, 2026 — Komodor, the autonomous AI SRE company, today announced it will host AI SRE Summit 2026, a free live virtual event on Tuesday, May 12, 2026, bringing together site reliability, platform engineering and cloud-native leaders to discuss how AI is changing production operations, and where i

Terminal dependencies for CircleCI workflows: Always run what matters

When a job fails, gets canceled, or never runs, the work that still needs to happen afterward (cleanup, notifications, teardown) has no clean way to trigger. There is no easy way to express “run this no matter what” in your pipeline config without duplicating jobs or adding fragile workaround branches. Terminal jobs change that.

From Jammy to Resolute: how Ubuntu's toolchains have evolved

The evolution of Ubuntu’s toolchains story goes beyond just providing up-to-date GCC, LLVM, and Python. It is also about opinionated openJDK variants, task-focused devpacks, FIPS compliant toolchains, and snaps, like the new.NET snap and Snapcraft plugin. These are enhancements that collapse half a day of setup into a single command or two, demonstrating what a frictionless developer experience means in practice for framework and application developers on Ubuntu.

The New Economics of Enterprise AI: Why Small Models Win Where It Matters

For years, progress in AI was equated with scale. Larger models, broader parameter counts, and increasingly complex cloud architectures were treated as signals of advancement. In enterprise operations, however, scale alone does not determine success. Economics does. As AI becomes embedded in operational workflows, organizations are discovering that model size is less important than cost stability under continuous load. AI-driven operations do not run in bursts. They run constantly.

Join operator and Query Agent for smarter log analysis

Sumo Logic’s log analytics capabilities have always provided the greatest insights to help you secure, monitor and troubleshoot your environment. Now, with our Query Agent, as part of Dojo AI, creating optimized log searches with natural language is even easier. Query Agent works with a wide variety of operators, including the join operator, for parsing, aggregation, data transformation, filtering, advanced analysis and lookup.