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Chaos Hub in docs, Prompt Library for MCP: what's new in Resilience Testing | Harness Blog

The latest Resilience Testing documentation update brings Chaos Hub directly into the docs, making it easier to discover and use fault, probe, and action templates. It also introduces a Prompt Library with ready-to-use AI prompts for Harness MCP, helping teams run resilience workflows faster using natural language.

AI SAST Explained: Why Traditional Application Security Is Reaching Its Breaking Point | Harness Blog

AI has fundamentally changed software development. Developers are writing more code than ever. AI coding assistants can generate features, tests, documentation, and infrastructure configurations in minutes. Engineering organizations are seeing meaningful productivity gains as AI becomes embedded throughout the software development lifecycle. But there is a catch. Security teams now face a difficult reality: application security was already struggling to keep pace with software delivery before AI arrived.

What are the Key Features and Evaluation Criteria for Vulnerability Assessment Tools?

How many findings from your last vulnerability scan have been verified as fixed? For most IT functions, the scan report is easy to produce, and the proof of closure takes far longer to assemble. That difference tends to surface at the worst possible moment, usually an audit or a post-incident review. Vulnerability assessment tools are meant to end that uncertainty. They inspect systems, match what they find against public vulnerability databases, and rank each weakness by how dangerous it is.

What Is SOC 2 Compliance? Requirements, Controls, and Evidence

Your largest prospect has asked for your SOC 2 report. The deal sits still until you produce one. Most teams handle the first half of SOC 2 compliance fine. They control access. They run backups. They put changes through approval before anything ships. The second half is what stops them, and that half is proof. Your policy says access gets reviewed every quarter. The auditor wants the dated review, the signature on it, and the same record from eight months ago.

Introducing AI BubbleUp

BubbleUp has always been the fastest way to figure out what a group of outliers have in common. Draw a box around a band of slow traces, a cluster of errors, or any set of events you're interested in, and BubbleUp compares that selection to the baseline across every dimension you've sent us. It's how Honeycomb users find the "unknown unknowns" that dashboards can’t show you.

DCIM in the AI Era: The Now, the New, and the Next of Data Center Infrastructure Management

Data Center Infrastructure Management (DCIM) software is evolving in three overlapping stages: Now (a unified ingestion and observation layer across power, cooling, and IT systems), New (expanded control functions, including bandwidth management), and Next (generative and agentic AI built on top of that monitoring foundation). Understanding which stage a platform actually operates in is the single most useful filter for evaluating DCIM vendors in 2026 and beyond.

From Break-Fix to Planned Maintenance Strategies

Many businesses constantly "fight fires" when it comes to their equipment. They wait for something to break, then rush to fix it. This approach, often called reactive or break-fix maintenance, seems logical because it deals with immediate problems. But relying only on this can lead to endless chaos, unexpected costs, and disruptions that hold your business back. Moving to a planned maintenance strategy is a powerful way to get back in control and build a more stable operation.

The Engineering Mindset: Solving Foundational Challenges

The engineering mindset is a structured way to solve problems that goes beyond just traditional engineering. It means breaking down big challenges into smaller, manageable parts, looking at how systems and their pieces interact, and then creating strong, efficient solutions. For operations managers and business leaders, using this mindset can completely change how they find and fix basic problems. This leads to stronger, more effective organizations, much like how specialized water borehole drilling contractors handle complex site needs.

DevOps and CI/CD Practices for Scaling Mobile App Backends in Fintech

Fintech mobile applications operate in an environment where performance, reliability, and security are equally important. A slow payment request, an API outage, or a failed deployment can affect thousands of transactions and quickly undermine customer trust. As a product grows, its backend must handle rising traffic without sacrificing stability.