Operations | Monitoring | ITSM | DevOps | Cloud

Real-Time CPU and Memory Insights for Harness CI Cloud Builds | Harness Blog

When a CI pipeline runs on cloud infrastructure, the build machine is ephemeral. It spins up, executes your build, and disappears. During that window, you have zero visibility into how much CPU and memory your pipeline actually consumes. This blind spot creates real problems. Teams over-provision VMs "just in case," wasting compute spend. Others under-provision and deal with silent OOM-kills or CPU throttling — the only clue being a cryptic exit code 137.

What's New in InfluxDB 3.10: Performance Beta Expanded with New Enterprise Features

In our last release, we introduced a beta of performance updates designed for heavier, more complex time series workloads. InfluxDB 3.10 expands that beta to include enterprise features that give teams more control as they scale and manage larger workloads in InfluxDB 3. This release adds end-to-end backup and restore, row-level deletes, bulk import from Parquet, user management, and an RBAC preview to the previous performance beta.

Resilience for an AI-Powered Future: PagerDuty's FY26 Impact Report

The impact vision for PagerDuty.org is to enable mission-driven teams to build a resilient world and a sustainable future for all. As a leader in modern, AI-first operations, we know that operational excellence supercharges social impact. As artificial intelligence rapidly reshapes the social sector, this commitment to resilience and efficiency has never been more vital.

Route Critical Alerts Evenly and Move Faster from Message to Phone Call

It’s been a busy quarter at OnPage. We recently rolled out our updated Enterprise Management Console to a select group of beta customers, and the early feedback has been exciting to see. The new experience gives teams a cleaner, more modern way to manage critical communication workflows, on-call schedules, alerting activity and team visibility from one place. But we have not slowed down there.

OnCall Rotation Software for IT Ops Boosts Response (2026)

The chaos of manual on-call management is a familiar story for many IT Operations teams: frantic phone calls, confusing spreadsheets, missed alerts, and frustrated engineers on the verge of burnout. This reactive approach doesn’t just strain your team; it risks service-level agreement (SLA) breaches and customer churn.

We wrote the docs

Most security vendors hide their documentation behind a login. Some don’t write it at all. You get a sales page, a demo, and a request to install an agent on your servers, and you’re expected to trust that the thing does what the marketing says. That’s backwards. So we wrote the docs, and we put all of them at certkit.io/docs. No login, no account gate, no “contact us for details.” You can read every page before you create an account.

When Local Blocks Go Global: The India-Telegram BGP Incident

Yesterday’s leak of a BGP hijack intended to block Telegram in India is the latest routing mishap best described as intentional, but also accidental — a pattern dating back to Pakistan Telecom’s infamous hijack of YouTube in 2008, in which a domestic block escaped containment and disrupted the service worldwide.

Scout MCP Server: Example Prompts, Use Cases, and What's New

The Scout MCP server connects your AI assistant directly to your Scout Monitoring data. Instead of switching between your editor, Scout, and a chat window, your assistant can pull traces, errors, N+1 insights, and endpoint metrics on its own and use that context to suggest or make fixes right in your codebase. This covers how to connect it, what to ask it, how other teams are using it, and what we shipped recently.

Why AI observability is a critical ITOps priority

AI Observability is a Critical Priority for ITOps Teams See how LogicMonitor helps ITOps teams monitor AI workloads, reduce blind spots, and move toward Autonomous IT. Schedule a meeting AI has shifted from experimental pilots to everyday business operations. Customers are interacting with AI-powered applications. Engineering teams are building with LLMs, GPUs, APIs, and automation at a much faster pace. That adds to the visibility strain on already overburdened ITOps teams.