Operations | Monitoring | ITSM | DevOps | Cloud

Two Decades of Microsoft SCOM & Monitoring Expertise

In today’s complex IT environments, reliable monitoring isn’t optional — it’s essential. From critical infrastructure in Government & Defense to highly regulated sectors like Healthcare, Energy, and Finance, organizations worldwide trust NiCE to deliver secure, future-ready monitoring solutions.

{Unscripted} AI Verification and Rollback

Our first AI/ML capability, Continuous Verification, made Harness the first Continuous Delivery tool to understand observability telemetry and trigger rollbacks when deployments caused trouble. We knew we could do more to eliminate the friction involved in its setup. Deploying with confidence shouldn't require a coordination meeting between DevOps, SREs, and developers just to configure the right health checks. That’s why we’re introducing the next generation: AI Verification and Rollback. We’ve moved beyond just AI-powered analysis to AI-powered setup.

Your Next Observability RFP is All Wrong. Why AI Changes Everything

AI-first observability addresses two of the most pressing troubleshooting challenges: complex IT environments and AI-generated code. But understanding how to implement AI in a way that brings ROI, requires cutting through the hype and maintaining realistic expectations, while keeping a forward-thinking vision. In this blog post, we bring practical tips for including AI in your next observability RFP. The article is based on a webinar held with Logz.io founders, CEO Tomer Levy and CTO Asaf Yigal.

New Relic's CCU-based pricing is creating unpredictable costs, pushing teams to sample heavily

We talked to 7 companies in August 2025 who were looking to switch from New Relic. One engineering director said they're paying $1,000 a month and only ingesting 10% of their traces. Teams are defaulting to aggressive sampling, some at 1%, others at 10%, to manage costs.

Smarter AI Cost Optimization With Guardrails That Scale

AI adoption is reshaping how organizations innovate. It’s also driving cloud costs higher. CloudZero’s State Of AI Costs In 2025 report finds that for mature FinOps and engineering leaders, visibility into AI costs is a critical first step, but it’s not enough. To enable fast, responsible AI and machine learning innovation at scale, teams need pragmatic, flexible guardrails. They don’t need rigid budgets or knee-jerk shutdowns that slow progress or push teams into shadow ML.

Agentic AI Becomes Essential: Why Adoption Is Accelerating and What Comes Next

The cautious optimism business leaders held towards AI agents has evolved into more widespread enthusiasm. In our last survey from April 2025, just over half (51%) of companies had deployed AI agents in their organization. Six months later, 75% of companies are deploying more than one agent, according to PagerDuty’s latest research.

Zooplus Found Faster Root Cause Detection with Elastic Observability

Zooplus Platform Engineering Lead Aram Hakobayan shares how Elastic Observability helps manage 3,000+ microservices and 15,000+ logs/sec across their AWS cloud. Learn how Elastic powers their French market, centralizes monitoring, simplifies root cause analysis, and avoids costly vendor migration. Ideal for DevOps, SREs, and cloud architects scaling fast.