Operations | Monitoring | ITSM | DevOps | Cloud

Nzo product demo

Apr 29, 2026 By N-able In N-able
This on‑demand product demo shows how N‑zo supports MSPs looking to simplify operations and scale more efficiently. Watch to see how N‑zo brings key workflows together, reduces operational friction, and helps teams gain better insight into their business. The demo highlights practical scenarios designed to support growth, consistency, and operational clarity without added complexity. Ideal for MSP leaders and operations teams who want a clearer, more streamlined way to manage their business.
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pagerduty

Future-Proof your services with agentic AI Operations Cloud

Apr 29, 2026 By Sam Chun In PagerDuty
Digital services are the engine of your modern business, but keeping them running feels like a constant battle. The rapid increase in the volume and speed of operational data is a direct result of growing architectures and more intricate workloads. Alert fatigue is causing your teams to be slow and reactive in addressing incidents, and this is a surefire path to burnout. The pace of this new reality is beyond what traditional, human-led processes can match.
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pagerduty

Why Service Architecture Matters: A Practical Guide

Apr 29, 2026 By Débora Cambé In PagerDuty
It’s 2 a.m. An alert fires. You acknowledge it, pull up the monitoring dashboard, and immediately hit a wall: Which team owns this? What services does it impact? Worse: this is the third time this month you’ve been paged for the same issue, and you still don’t have a clear path to fix it. What should take minutes stretches into hours of Slack threads, escalation guesswork, and frantic context gathering.
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GitKraken Desktop in 6 Minutes: Open a Repo, Run an Agent, Ship the Change

Apr 29, 2026 By GitKraken In GitKraken
The fastest way to get up and running in GitKraken Desktop. In this tutorial, you'll open a repo, start an AI coding agent in its own worktree, review the agent's changes against your own work, and ship a pull request without leaving the app. What you'll learn: Chapters Help Center: help.gitkraken.com.
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civo

Inclusive AI vs. centralized AI: Can India avoid big tech concentration?

Apr 29, 2026 By Emma Oram In Civo
At the 2026 India AI Impact Summit in February 2026, 92 countries and international organizations (including the US, China, and the UK) signed a preliminary agreement that positions AI as both a development tool and a shared global responsibility. “India will not be a mere consumer in the AI age. We will be the creators, the builders, and the exporters of intelligence and we are proud to be able to participate in that future.” Gautam Adani, chairman of the Adani Group.
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Connecting Agents for Real-Time Root Cause Analysis with Checkly's Rocky AI

Apr 29, 2026 By Checkly In Checkly
Rocky, Checkly's AI agent, monitors production sites and provides an analysis for every failing check. Previously, a coding agent couldn't access this analysis, leaving incidents and agents disconnected. Now, you can access all the analyses via the Checkly CLI (or API) and tell your coding agent, "Hey, I got a Checkly alert. Please investigate!" With Rocky's structured analysis delivered inline, the coding agent can start with a strong hypothesis, fix issues, and propose a PR in one session.
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spike

Why do you need incident alerting? (And why monitoring alone isn't enough)

Apr 29, 2026 By Sreekar In Spike
Monitoring tools track what’s happening across your systems and send a Slack message or email when something looks off. But they don’t call anyone and they don’t escalate the incident. If that Slack message goes unseen at 3 AM on a Saturday, the incident just sits there until someone opens their dashboard. Incident alerting fills this gap. When an incident triggers, it contacts the right person directly through a phone call or their preferred channel.
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upsun

Five questions your platform evaluation is missing

Apr 29, 2026 By Upsun In Upsun
Years back I sat in on a platform evaluation with a customer who spent forty-five minutes of the meeting focusing on one thing: their custom PHP content management system. They had opinions about the CMS. Strong opinions. They had benchmarks, a migration plan, a proof of concept. They had a diagram. They had questions about the deployment pipeline for this CMS that were, for a single application, more thoroughly considered than most organizations' entire infrastructure strategies.
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