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

sentry

Application Metrics caught my broken size estimator

Sep 1, 2026 By Kyle Tryon In Sentry
There’s a very specific kind of frustration that comes from waiting several minutes for a video to encode, dragging it into a message, and getting hit with a “file too large” error. Then you’re blindly trying to shave off a few more megabytes by re-encoding, maybe at a lower resolution or a smaller bitrate, hoping you won’t have to do it more than one or two more times. Here’s how I used Sentry’s Application Metrics to make a more accurate video size estimator.
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datadog

Visualize how CUPED adjusts experiment results with Datadog

Sep 1, 2026 By Datadog In Datadog
CUPED (Controlled-experiment Using Pre-Experiment Data) is a powerful tool that can reduce metric variance and help teams obtain precise experiment results with less data. However, the difference between an experiment’s CUPED-adjusted lift and raw lift can be difficult to explain, especially when an experiment uses many pre-exposure metrics and subject properties. The CUPED adjustments visualization in Datadog Experiments breaks the difference into a sequence of specific adjustments.
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datadog

From traces to experiments: A loop for improving AI agents

Sep 1, 2026 By Datadog In Datadog
Let’s say your team shipped a support agent last quarter. The launch demo went well, stakeholders were pleased, and everyone moved on. A few months later, things start to look off. Summaries of long conversations are truncated, and monitors show latency spikes on tool calls to the billing API. Your team’s first instinct is to ship fixes such as tweaking prompts or upgrading the model.
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honeycomb

Bringing the Most Advanced Sampling to the OpenTelemetry Collector

Sep 1, 2026 By Mike Goldsmith In Honeycomb
Sampling is a core skill that everyone who runs an observability pipeline at scale will learn. There are lots of tradeoffs within the various decisions you'll make from reducing bandwidth, CPU, and memory, to reducing costs and making the observability backend's performance better for users. Historically, there have only been three mechanisms, each with their own tradeoffs: However, there is a secret fourth option: adaptive tail sampling—which changes those tradeoffs.
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checkly

We Let AI Agents Rewrite a 92M-Message-a-Day Service in Go. Zero Incidents.

Sep 1, 2026 By Edvinas Janusevicius In Checkly
Our Results Daemon processes about 92 million messages a day. We recently rewrote it from Node.js to Go, and we let Claude Code write it. We wanted to know whether we could trust an agentic rewrite for a critical, high-throughput production service rather than a prototype. It shipped with zero incidents, a 70% reduction in running pods, and a lighter database load.
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motadata

Best Storage Monitoring Software: 10 Tools Compared

Sep 1, 2026 By Ramya Shah In Motadata
Storage rarely fails loudly. A pool fills. Latency climbs on one LUN. The first to notice is a user whose application timed out. The best storage monitoring software catches it earlier. It watches capacity, IOPS, latency and drive health across your arrays, which is what storage resource monitoring is for. In this blog, you will see: By the end you will know which one fits. Storage monitoring software tracks the health, capacity and performance of your IT storage.
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motadata

How NIST Compliance Turns Observability Data Into Audit Evidence

Sep 1, 2026 By Poonam Lalani In Motadata
Can you prove, on demand, which production systems were under continuous monitoring last quarter? Buyers, auditors, and insurers all ask a version of that question, and the answer decides contracts as often as audit findings. NIST compliance means aligning security controls and operations with standards from the National Institute of Standards and Technology, then holding evidence that the alignment stayed continuous. The frameworks are precise about outcomes and quiet about mechanics.
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ScienceLogic

Compliance Doesn't Fail on Audit Day. It Drifts Every Day in Between.

Sep 1, 2026 By ScienceLogic In ScienceLogic
For CIOs, compliance is no longer simply a box to check at audit time. It has become part of the operating standard for resilient, accountable, and well-managed enterprise IT. The reason is straightforward: enterprise technology environments change continuously. Infrastructure scales. Configurations change. Cloud resources move. Exceptions accumulate. Dependencies evolve across hybrid and distributed architectures.
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Data-Driven Decisions Accelerate IT Results

Data-Driven Decisions Accelerate IT Results

Sep 1, 2026 By OpsMatters In OpsMatters
Modern IT teams, having moved beyond the traditional reliance on hunches and personal experience that once shaped their day-to-day choices, no longer operate on intuition, since every meaningful decision now rests upon measurable, verifiable evidence gathered from their systems and workflows. Every deployment, capacity change, and incident response now depends on measurable evidence, not guesswork. Companies that base their operations on concrete numbers ship faster, recover quicker, and allocate budgets with far greater accuracy.
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