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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

hyperping

Catch Next.js Hydration Errors With Playwright Tests

Jul 21, 2026 By Leo Baecker In Hyperping
Playwright can catch Next.js hydration errors by listening for browser console failures and then exercising an interaction that only works after React has attached its event handlers. This detects pages that return 200 OK and display server-rendered content but fail when a customer clicks, types, or navigates. Next.js defines hydration as React attaching event handlers to the server-rendered HTML.
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hyperping

MCP for SLA Monitoring: Uptime, MTTR & MTTA

Jul 21, 2026 By Leo Baecker In Hyperping
MCP for SLA monitoring gives an AI agent direct access to measured uptime, mean time to resolve (MTTR), mean time to acknowledge (MTTA), outages, and reliability risks. With Hyperping, you can ask Claude, Cursor, Codex, or another MCP client for an SLA report and get an answer based on your live monitoring data instead of copying numbers between dashboards. The distinction between monitoring data and SLA compliance matters. Hyperping measures availability and incident response.
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motadata

Security Observability: Pillars, Use Cases, and How It Works

Jul 21, 2026 By Poonam Lalani In Motadata
When an alert lands, does your team already see the full story, or does the work start with pulling scattered data together from one tool after another? For many organizations it's the second one, where the incident itself takes a backseat while analysts hunt across dashboards. The evidence is right there, scattered across platforms that don't share context. Security observability exists to close that gap.
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meshiq

ActiveMQ Performance Benchmarks: A Complete Methodology Guide

Jul 21, 2026 By meshIQ In meshIQ
Most ActiveMQ performance benchmarks are wrong, not slightly off, but fundamentally invalid for capacity planning. Performance benchmarking done incorrectly is worse than not benchmarking at all. A number that looks like a throughput measurement but was collected without JVM warmup, without latency percentiles, with the load generator co-located on the broker host, and while producer.
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last9

Better Together: Last9 + Altinity

Jul 21, 2026 By Last9 In Last9
Last9 and Altinity now run observability entirely in your own cloud, metrics, logs, traces, and profiles on an open-source ClickHouse stack, priced on capacity instead of ingestion, with Altinity operating the database so your team doesn't have to. Last9 is an observability platform built for high-cardinality telemetry. It unifies logs, metrics, and traces with native OpenTelemetry and Prometheus support, real-time alerting, and long-term retention.
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influxdata

Inside LeoLabs: How Radar Engineers Track Over 27,000 Objects in Orbit with InfluxDB

Jul 21, 2026 By Cole Bowden In InfluxData
Summary InfluxDB plays a critical role in LeoLabs’ infrastructure, enabling a lean team to operate with confidence that potential issues will be detected and surfaced in real-time. By offloading the complexity of managing time series data at scale, engineers are free to focus on higher-impact work (such as optimizing their radar network) rather than maintaining and troubleshooting database systems.
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sentry

How to structure a log

Jul 21, 2026 By Kyle Tryon In Sentry
You’ve decided to step up your logging game and start sending more valuable, structured logs that you can query, aggregate, and use for debugging in production. Go, you! Now, uh, how do you actually write them? We’re not going to spend much time on what you should log. We’ve covered that already, a few times before. What we will be covering is how to actually write those logs, answering questions like: What makes a log structured is not just pairing messages with arbitrary JSON objects.
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coroot

Let's break autovacuum in Postgres: reproducing failures to make it observable

Jul 21, 2026 By Nikolay Sivko In Coroot
Autovacuum is one of those Postgres background jobs that quietly keeps your database healthy. It cleans up the dead row versions that every UPDATE and DELETE leaves behind, and it keeps the database away from a hard transaction-ID limit that would take it offline. Most of the time you don't think about it, because it just works.
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Stable IPs for DevOps Monitoring: A Guide to Proxy-Cheap Static Residential Proxies

Stable IPs for DevOps Monitoring: A Guide to Proxy-Cheap Static Residential Proxies

Jul 21, 2026 By OpsMatters In OpsMatters
External monitoring is only useful if you can trust what it tells you. Synthetic checks, uptime probes, and content verifications all run from outside the perimeter, hitting public endpoints the way a real user would. When those checks return clean, honest results, teams catch problems early. When they return noise - false outages, phantom latency, blocked responses - the whole practice degrades into alert fatigue. And a common, under-appreciated source of that noise is the IP address the checks run from.
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