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

sentry

Building a Code Review system that uses prod data to predict bugs

Dec 18, 2025 By Giovanni Guidini In Sentry
This post takes a closer look at how Sentry’s AI Code Review actually works. As part of Seer, Sentry’s AI debugger, it uses Sentry context to accurately predict bugs. It runs automatically or on-demand, pointing out issues and suggesting fixes before you ship. We know AI tools can be noisy, so this system focuses on finding real bugs in your actual changes—not spamming you with false positives and unhelpful style tips.
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Logging Best Practices (Grafana OpenTelemetry Community Call)

Dec 18, 2025 By Grafana In Grafana
We’re back with a new Grafana OpenTelemetry Community Call episode, and this time we’re diving into logging with OpenTelemetry and Grafana Loki! Even better, we’re joined by two fantastic guests: Jack Berg, OTel logging expert, and Ed Welch, Loki guru. Getting both of them in one conversation makes for an amazing deep-dive into all things logging. Logs come in every shape and size, from simple CLI output to massive distributed systems generating petabytes of structured data. In this episode, we’ll talk about.
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Tail sampling vs. head sampling in distributed tracing

Dec 18, 2025 By Grafana In Grafana
In this video, Grafana Labs' Robin Gustafsson (CEO for K6 + VP, Product) and Sean Porter (Distinguished Engineer) discuss the differences between head sampling and tail sampling approaches in distributed tracing. They explore why head sampling often amounts to sampling randomly and hoping for the best, while tail sampling — the approach used by Adaptive Traces in Grafana Cloud — allows you to intelligently capture the traces that actually matter to you.
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scout

Application Monitoring 101: Queue Time Can Alert Before a Breakdown

Dec 18, 2025 By Aspen Clevenger In Scout
Regular monitoring practices can emphasize application response time, but queue time is also often an early and important warning sign. If it rises, you’ll quickly see downstream effects: tail latency, timeouts, and error spikes. This means that this metric can give you a head start tackling app issues before they become user problems. In this post, we’ll discuss queue time, how things can go off track, and practical steps to turn it around.
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elastic

Elastic at AWS re:Invent: Concluding a year of partnership in agentic AI innovation

Dec 18, 2025 By Brian Bergholm In Elastic
Highlights of another laudable year of customer-centric collaboration The integration of Elastic’s capabilities, including vector databases and context engineering, with AWS services helps customers build intelligent, scalable, and secure applications faster and with greater flexibility. Our ongoing collaboration has resulted in another year of notable innovation with AWS. This blog highlights our continued collaboration with AWS throughout 2025 to help you capitalize on the power of AI.
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ScienceLogic

Gartner I&O and Cloud Strategies Conference 2025: From Observability to Outcome-Driven Operations

Dec 18, 2025 By ScienceLogic In ScienceLogic
This year’s Gartner IT Infrastructure, Operations and Cloud Strategies Conference made one thing abundantly clear: the industry is moving beyond reactive monitoring and isolated dashboards toward autonomous, outcome-driven IT operations. While AI and agentic automation dominated keynotes and vendor messaging, conversations on the show floor reflected a more grounded reality.
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coralogix

Confessions of a software engineer who enjoyed being paged at 5am

Dec 18, 2025 By Annie Freeman In Coralogix
It’s 5:14am, and I wake up to the squawking geese sound of my PagerDuty alert (anyone else have this sound? No?). I’m four months into working for my new team as a junior software engineer, and this is my first time being paged in the middle of the night. Most software engineers probably dread this moment, but I kind of love it. Agile ceremonies and Jira tickets suddenly don’t matter, and you’re fully focussed on stopping a customer-impacting fire.
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datadog

Centrally set up and scale monitoring of your infrastructure and apps with Datadog Fleet Automation

Dec 18, 2025 By Ethan Debnath In Datadog
Setting up and scaling observability across large, distributed environments often requires platform and SRE teams to coordinate access to infrastructure hosts and switch between configuration management tools and product-specific documentation. These tasks increase setup time and create delays in establishing visibility of critical services in Datadog. As teams expand their infrastructure, they need to coordinate Datadog configuration changes in a consistent and auditable way.
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datadog

Python memory profiling: Common pitfalls and how to avoid them

Dec 18, 2025 By Bowen Chen In Datadog
Continuous profiling has established itself as core observability practice, so much so that we’ve referred to it as the fourth pillar of observability. But despite the capabilities and growing adoption of continuous profiling, it can still be confusing to approach profiling as a newcomer and correctly apply it to different troubleshooting scenarios.
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