Your LLM Is Slower Than You Think
60% GPU utilization and 3-second response times? GPU utilization is the wrong signal for LLM inference. Here's why TTFT, KV-cache pressure, and queue depth - not utilization - predict user-facing latency.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Debug frontend issues with AI: Real user monitoring meets the Coralogix MCP server
It is 2 AM. Someone on-call gets paged. Conversion rates on the checkout page dropped 30 percent in the last hour. The immediate questions are familiar. Is this a JavaScript error? A slow API call? A broken third-party script? A performance regression that never throws an exception but quietly drives users away? In most teams, answering those questions is not hard because the data is missing. It is hard because the investigation is split across too many places.
Dark Code: The AI-Generated Software Nobody Understands
The biggest risk to your product isn’t AI-generated code that doesn’t work. It’s generated code that seems fine. AI doesn’t optimize for correctness. It creates something passable. Something that passes the smell test. And when everybody in the industry is pushed to move faster and do more with less, you end up shipping software that looks correct. It passed your quick visual check. It passed all the tests. But no one ever fully understood it.
What makes a cloud provider trusted? Beyond uptime and pricing
Trust in a cloud provider used to come down to two metrics: uptime and cost. If services stayed online and pricing looked competitive, that was often enough. That is no longer the case. Modern development teams expect far more from their infrastructure. Speed, usability, transparency, and flexibility now shape how developers evaluate cloud platforms. A provider may meet uptime guarantees and still frustrate teams with slow provisioning, unclear billing, or rigid tooling.
Predicting GPU Failures Before They Cost You
Predict GPU hardware failures 48–72 hours in advance. A guide to the five rate-based signals — ECC error trends, XID events, thermal ramp, row remap exhaustion, PCIe downtraining — and how to combine them into a composite health score.
7 Types of Load Testing Explained: Load, Stress, Spike, Soak & More | Harness
Discover the 7 most important types of load testing that every developer, DevOps engineer, and QA team should know in 2026. Whether you're building scalable applications, preparing for traffic surges, or ensuring system reliability, understanding these load testing types is essential for modern software performance testing. In this quick video from Harness, we break down.
Understanding Environment Drift in Enterprise Delivery | ENV Zero Topic Talk
Welcome to another ENV Zero Topic Talk! In today’s episode, we explore the concept of environment drift in enterprise delivery and why it’s crucial to manage it. Over time, configurations across your environments can deviate, leading to errors and inconsistencies. ENV Zero helps detect and automatically correct these discrepancies, ensuring that your environments stay in sync. Discover how proactive drift management can improve stability, reliability, and predictability in your delivery process.
The Complete Guide to Feature Testing for Modern DevOps Teams | Harness Blog
Today’s teams are challenged to ship fast without breaking things. Traditional deployment strategies tie every code change directly to user exposure, forcing teams to trade velocity for safety and live with stressful, all-or-nothing releases. Feature testing changes that. In modern DevOps, you don't have to cross your fingers during a big-bang rollout.
How Your Business Can Safely Use Modern Digital Payments
The implementation of digital payment systems has transformed business transaction methods because these systems enable speedier transactions that facilitate international operations. Businesses gain various advantages through their adoption of modern payment systems; however, these systems contain built-in security threats. The team must develop a success strategy which requires specific operational measures for implementation. Digital payment systems can create value through these six operational methods.