Operations | Monitoring | ITSM | DevOps | Cloud

Rebuild AI API classification with Jev to cut costs, reduce latency, improve calibration, and make production decisions more efficient without sacrificing accuracy. Replacing the judgment step in a production classification pipeline with a purpose-built decision model changes the economics of the problem entirely.

Discover how software delivery knowledge graphs unify fragmented SDLC data, enable schema-as-code, and power deterministic AI reasoning across engineering teams. Software delivery knowledge graphs unify fragmented SDLC data across disparate tools by establishing explicit entities, typed relationships, and schema-as-code contracts. This transforms manual cross-system data stitching and non-deterministic AI reasoning into reliable, queryable knowledge. Key takeaways include.

Discover why engineers ignore cloud cost governance and how to build developer cost accountability. Learn how Harness helps empower engineering teams. Engineers often overlook cloud costs due to friction in traditional FinOps tools and a lack of real-time visibility. By embedding automated guardrails and shift-left cost insights into developer workflows, organizations can drive accountability without slowing velocity.

Get Ship Done: Everything We Shipped in September 2026.

SAST vs SCA vs DAST vs IAST: a clear breakdown of what each scan finds, when to run it, and how to combine them across your SDLC. Most AppSec teams don't run one type of scan - they run several, at different points in the pipeline, because no single tool sees the whole picture. This article breaks down SAST vs SCA vs DAST vs IAST: what each one actually tests, where it fits in the software development lifecycle (SDLC), and how to combine them without duplicating effort or drowning developers in findings.

Learn why engineers ignore cloud cost optimization and how to build a culture of FinOps governance. See how Harness helps. Engineers often overlook cloud costs due to lack of visibility, fragmented tooling, and competing delivery priorities. Organizations can fix this by embedding FinOps guardrails into developer workflows and providing real-time cost feedback during build cycles.

Interactive Application Security Testing (IAST) finds vulnerabilities in running applications by monitoring code from the inside. Learn how it works and where it fits. Interactive Application Security Testing (IAST) is a method for finding security vulnerabilities in an application while it's running, by instrumenting the code and observing how it behaves during normal use or testing.

Learn how to safely automate Oracle schema changes. Discover what makes Oracle database DevOps unique. Automating Oracle schema changes safely means considering what makes Oracle different. A real Oracle database DevOps practice pairs version-controlled changelogs and pipeline integration with policy-as-code protection, pre-flight checks, and tested rollback scripts, so schema changes deploy with the same speed and safety as application code.

Compare LLM vulnerability scanners with AI SAST on precision, recall, speed, cost, and consistency to choose the right AI security approach.

Harness Connector for OpenAI: Bring CI/CD Context to ChatGPT & Codex A pipeline fails while you are working through a change in ChatGPT or Codex. To understand what happened, you need the execution details, the failed step, and the relevant pipeline configuration. Gathering that context can interrupt the work you were doing before you can even begin to solve the problem. The Harness Connector for OpenAI brings that delivery context into your AI workflow.