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

ActiveMQ Performance Benchmarks: A Complete Methodology Guide

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.

Better Together: Last9 + Altinity

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.

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

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.

How to structure a log

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.

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

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.

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

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.

Have I Been Pwned vs. Coveron vs. Aura - Dark Web Monitoring Services Compared (2026)

Have I Been Pwned, Coveron, and Aura solve the same underlying problem in very different ways. Have I Been Pwned answers a one-time question for free, and the two paid services are built for continuous monitoring and recovery of individuals and households. Comparing them head-to-head only makes sense once you separate what a free breach checker does from what a paid identity service is for.

How to Minimize Downtime During a Microsoft 365 Migration

Moving your organization's email, files, collaboration tools, and user accounts to Microsoft 365 is a major step toward a more flexible and secure workplace. Whether you're replacing an older email platform, merging companies, or reorganizing your IT environment, the migration process requires careful planning.

Why Low-Latency Monitoring Is Mission-Critical for Futures Trading Infrastructure

Futures trading has always been a game of speed, but over the last decade that game has changed entirely. What used to be measured in seconds is now measured in microseconds. Traders, exchanges, and the technology providers who support them are locked in a constant race to shave off every possible delay between an order being placed and it actually executing. In this environment, low-latency monitoring is not a luxury or a technical afterthought. It is a core part of how trading infrastructure stays reliable, competitive, and safe to operate.