OnlineOrNot updates from May 2026
Last month I focused on adding Telegram alerts to OnlineOrNot, making scripted browser checks generally available, and making it clearer to understand why checks fail.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Best Log Management Software for DevOps and SRE Teams in 2026: Feature and Cost Breakdown
TL;DR Picking the right log management platform in 2026 comes down to three things: how much operational overhead you can absorb, how much AI automation you need, and what you’re willing to spend.
Autonomous Error Remediation in Cursor with Lightrun MCP
Lightrun's Gidi Freud demonstrates how your AI coding agent can now investigate and fix production errors, autonomously. Watch how Cursor, guided by Lightrun's Error Remediation skill, picks up a Sentry error, instruments the live service with a runtime snapshot, captures real evidence, and opens a validated PR for approval.
May 2026 product updates
We’ve been busy shipping new features and enhancements to help you monitor critical services more effectively, investigate incidents faster, and customize your StatusGator experience. This month’s updates include historical outage reports, our new Datadog integration, expanded monitoring coverage in Asia Pacific, improved email branding options, and performance upgrades for monitor metrics. We also crossed a major milestone with more than 8,000 services now monitored by StatusGator.
IBM Think 2026 Infrastructure Insights for IT Leaders
IBM Think 2026 made one thing clear: infrastructure leaders are being asked to support more AI, more automation, and faster decision-making without adding unnecessary complexity or risk. Held earlier this month in Boston, IBM Think 2026 focused heavily on enterprise AI, hybrid cloud, automation, governance, and operational transformation.
Auvik Brings Multi-Vendor Network Intelligence to AI Agents in Cisco Cloud Control
Modern IT infrastructure is messy, spanning multiple vendors, cloud platforms, and on-premises systems, with critical data spread across separate tools. This patchwork makes troubleshooting harder for IT teams and AI agents alike, forcing them to piece together operational context from different domains and interfaces before they can act with a complete understanding of the environment. But what if AI agents could pull operational data from across your diverse IT environment and correlate it for you?
DataPrime at ingest (DPXL): See the impact of any routing decision
TCO policies have always been one of the most impactful cost levers in Coralogix. Route business-critical data to High, push monitoring data to Medium, archive compliance logs to Low. With the addition of DataPrime expressions (DPXL) – a subset of the DataPrime query language designed for inline filtering at ingest – that routing became even more precise, matching on any field in the event payload, not just application, subsystem, and severity.
Federated Search | From Silos to Insight | Azure Blob Schema Discovery with Splunk's Crawler
This walk-through shows how Splunk's Cloud can discover schema and partition keys for Microsoft Azure Blob Storage datasets and create searchable Splunk managed tables. Once the data is mapped, analysts can use Splunk Federated Search to query Azure Blob data where it lives, bringing cloud-resident logs into security, observability, and operational work-flows without re-ingesting the data.
The Observability Journey: Getty Images and Cribl
I recently sat down with Simon Overbey and Lovepreet Singh - the Engineering Manager and systems engineer (respectively) at Getty Images to talk about their experiences implementing Cribl. After getting a rundown of the pre-Cribl environment (described above) I asked to jump straight to the end, the net benefits. If the "before" was a terrifying tidal wave of cost and complexity, what did the "after" look like?
Lightweight Server Monitoring - One Binary, No Stack
Monitoring a single server should not require running four daemons. Yet the default open-source recipe for “I just want to watch this one box” still looks like this: install node_exporter, stand up a Prometheus server to scrape it, add Grafana to draw the graphs, and bolt on Alertmanager so you actually hear about a full disk. That is a lot of moving parts — and a lot of YAML — for one machine. This post shows a lighter path.