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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Defend Against Shai-Hulud 2.0 Supply Chain Attack with Harness SCS

Shai-Hulud 2.0 shows how quickly a compromised maintainer account can result in thousands of infected NPM packages and repositories within hours. Harness SCS provides end-to-end SBOM visibility, policy enforcement to block compromised NPM packages, and complete traceability to detect malicious components early and prevent them from entering your pipelines.

From Concept to Reality: The Journey Behind Harness Database DevOps

Harness Database DevOps was born from a simple question - how can database delivery be as seamless and safe as application delivery? Through deep collaboration with design partners, open-source learnings, and relentless iteration, the team built a platform that unites developers, DBAs, and DevOps under a single, automated workflow. At its core, it’s a story of empathy-driven engineering - transforming database change management into a faster, more reliable, and collaborative experience.

Harness AWS: From Code to Cloud, Smarter and Faster

Harness makes software delivery in AWS faster, safer, and more delightful. Harness, the AI Platform for Everything After Code, offers CI/CD, infrastructure-as-code management, and cloud cost management capabilities tailored to the AWS environment. Harness has come a long way since its 2019 debut on the AWS Marketplace. Back then, over half of Harness customers were already running on AWS, and Harness focused on delivering Continuous Delivery as a Service for AWS applications.

Smooth Operator: The Role Of Autonomous FinOps In Cloud Cost Management

(Almost) everyone is using generative AI, and just as many aren’t seeing any benefits. Research firm Gartner calls it the “gen AI paradox” — nearly 80% of companies say they’ve invested in generative solutions, and the same number report no benefits to their bottom line. What’s more, 90% of projects are stuck in pilot mode; ready to take off, but just can’t get up to speed.

Metrics That Matter In FinOps: Co-Create Value With Engineering And Finance Collaborations

FinOps thrives on clarity, and clarity is built on metrics. Metrics give engineering and finance a shared language to understand costs, evaluate trade-offs, and guide innovation. The most impactful metrics go beyond “how much are we spending?” and help us answer: When we measure these things, we stretch beyond tracking progress to fueling it.

10 platform engineering tools your devs will thank you for

Modern engineering teams are shipping more services, managing more complex infrastructure, and moving faster than ever. But this velocity often comes at a cost to the developer experience. Engineers are frequently bogged down by infrastructure complexity, inconsistent tooling, and a lack of clear standards, which leads to cognitive overload and slower cycle times.

Deeper Coverage with Less Complexity - New in DataStream

This month’s DataStream update brings meaningful improvements across pipeline management, MSSP workflows, and endpoint visibility. We’ve focused on giving security teams more control over how data moves through their environment, expanding coverage for both Windows and Linux, and strengthening governance for multi-tenant deployments. Let’s walk through what’s new.

AI and DevOps in 2025: How Autonomous Engineering Will Transform Software Operations and Reliability

DevOps started as a way to break down barriers between development and operations, but by 2025 the movement has shifted into something far more ambitious. Instead of simply speeding up releases or tightening workflows, companies are now adopting autonomous engineering systems-tools powered by AI that don't just support DevOps practices but actually carry them out.

KubeCon Retrospective: Platform Engineering Needs to Do More Testing

Every year, KubeCon offers a candid look at where the cloud-native community stands — the tools gaining traction, the pain points teams share, and the big gaps still holding organizations back. After a week of deep conversations, session hopping, and talking to dozens of platform teams, one theme became impossible to ignore: Platform engineering still isn’t doing enough testing. And even more surprising: many teams don’t think testing is their responsibility.