%term

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

Customer Corner: Driving Innovation at Scale with Kyle Hill, CTO, ANS Group

Nov 12, 2025 By Jessica Noland In LogicMonitor

At LogicMonitor’s Senior Leadership Team Offsite in July, I sat down for a candid conversation with Kyle Hill, CTO of ANS Group. As a longtime LogicMonitor customer and leader of a 700+ person tech powerhouse, Kyle offered sharp insights into scaling infrastructure, unlocking AI-driven value, and what true partnership looks like in today’s MSP world. Here’s an edited and condensed version of our conversation.

Read Post

LogicMonitor

Read more about Customer Corner: Driving Innovation at Scale with Kyle Hill, CTO, ANS Group

Observabili-Mystery Solved: From Clues to Answers in 3, 2, 1...

Nov 12, 2025 By solarwindsinc In SolarWinds

Observability doesn’t have to be a mystery. Join SolarWinds Tech Evangelist Chrystal Taylor and THWACK MVP Jez Marsh, Owner of Silver Back Systems, as they crack the code on turning noisy data into actionable insights. Part of the THWACKcamp lineup from SolarWinds Day, in this session you’ll learn how to analyze raw logs and metrics to uncover trends, catch issues early, and make smarter, faster decisions. Discover practical techniques for linking cloud and on-premises data, reducing false alerts, and automating repetitive tasks with tools like Custom Properties.

View Video

SolarWinds

Read more about Observabili-Mystery Solved: From Clues to Answers in 3, 2, 1...

Use Grok parsing to extract fields from logs | Datadog Tips & Tricks

Nov 12, 2025 By Datadog In Datadog

When your logs don’t follow a standard format, it can be difficult to extract valuable information, like key-value pairs and nested JSON objects. Grok parsing lets you define flexible patterns that match unstructured log data so you can extract specific fields to query, filter, and visualize. In this video, you’ll learn how to: By refining your Grok parsers, you can make your logs more useful for analytics, dashboards, or alerts, and get even more value from your logs.

View Video

Datadog

Read more about Use Grok parsing to extract fields from logs | Datadog Tips & Tricks

Secure File Operations in Go with os.Root: Preventing Path Traversal

Nov 12, 2025 By Eric Lippmann In Icinga

Go’s os.Root feature, introduced in Go 1.24, is designed to improve filesystem security by restricting operations to a specific directory, making it much harder for attackers to exploit path traversal vulnerabilities.

Read Post

Icinga

Read more about Secure File Operations in Go with os.Root: Preventing Path Traversal

Unit Test Your Telemetry - OTel Weaver at KubeCon 2025

Nov 12, 2025 By Splunk In Splunk

Stop letting typos or OTel SDK updates break your production dashboards! This KubeCon 2025 talk introduced Otel Weaver, a new tool that lets you live-check your OpenTelemetry data before you merge. It's unit testing for your telemetry.

View Video

Splunk

Read more about Unit Test Your Telemetry - OTel Weaver at KubeCon 2025

OTel Updates: OpenTelemetry eBPF Instrumentation (OBI) Hits Alpha

Nov 12, 2025 By Anjali Udasi In Last9

Some parts of a system don’t lend themselves to quick instrumentation changes. You might have a production binary that hasn’t been rebuilt in years, or a stack made of several languages where each team manages telemetry differently. In those situations, getting consistent signals often means touching code you’d rather leave alone or coordinating updates across many services. OpenTelemetry eBPF Instrumentation (OBI) approaches this from the kernel side.

Read Post

Last9

Read more about OTel Updates: OpenTelemetry eBPF Instrumentation (OBI) Hits Alpha

If it Wanted to, it Would: The Bitter Lesson for LLM Users

Nov 12, 2025 By Hannah Henderson In Honeycomb

There’s a viral saying folks use about flaky crushes, spouses, and forgetful friends: "if he wanted to, he would." The idea is straightforward: when someone cares, they make the effort. As it turns out, the same principle applies surprisingly well to AI. Systems, like people, have things they "want" to do. Each model has patterns of reasoning and synthesis it performs naturally.

Read Post

Honeycomb

Read more about If it Wanted to, it Would: The Bitter Lesson for LLM Users

Using Sentry Logs to Debug a Dynamic Sampling Issue

Nov 12, 2025 By Simon Hellmayr In Sentry

Some of the team at Sentry spent this past quarter fixing bugs, more than 800 to be exact. Among them was a complex issue causing transaction spikes in our own Sentry project. Using Sentry Logs, we were able to investigate, trace the root cause, and resolve the problem.

Read Post

Sentry

Read more about Using Sentry Logs to Debug a Dynamic Sampling Issue

What is Active Telemetry

Nov 12, 2025 By Mezmo In Mezmo

Active Telemetry is the evolution in how organizations collect, process, and use observability data. In traditional observability, telemetry is passive: systems emit logs, metrics, and traces that are stored and visualized after the fact. This model worked when systems were simpler and changes were predictable. But in today’s world with distributed microservices, Kubernetes, and AI workloads, passive telemetry can’t keep up. Active Telemetry changes that.

Read Post

Mezmo

Read more about What is Active Telemetry

Conquer Complexity, Accelerate Resolution with the AI Troubleshooting Agent in Splunk Observability Cloud

Nov 12, 2025 By Michael Raich In Splunk

The digital landscape has transformed dramatically, and with it, the demands on our systems have grown exponentially. Traditional monitoring tools struggle to provide sufficient insight into complex, distributed, cloud-native environments. Observability is the answer, moving beyond merely knowing "what" is happening to understanding "why" it's happening, and its impact on user experience and business outcomes.

Read Post