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

How Imperva Gets Traffic Answers in Seconds with Kentik

Imperva Network Architect, Wallace Lee, shares how Kentik helps teams drill deeper than traditional reporting tools to improve network and customer experience. Wallace shares how, during a live architecture review, Imperva’s Kentik power users answered a critical “are we safe?” traffic question in seconds. Kentik enables engineers to instantly understand prefix-level bandwidth and shows exactly which ASN and ISP traffic came from. Wallace also highlights how Kentik makes Anycast traffic visibility an “easy win,” helping teams move from questions to confident decision-making fast.

Best Python APM Tools in 2026: A Developer's Guide

Last updated: March 2026 Python applications built on Django, Flask, FastAPI, and other frameworks have the same monitoring needs as applications built in any other language: you want to know which endpoints are slow, why the database is getting hammered, what errors are firing in production, and ideally all of that in a form that does not require three separate tools to reconstruct a single incident.

Routing OpenTelemetry logs to Sentry using OTLP

If you've already instrumented your app with OpenTelemetry, you don't have to rip it out to use Sentry. Two environment variables and your logs start flowing into Sentry, no SDK changes, no re-instrumentation. Here's how to set it up in a sample app, and when the native Sentry SDK might be the better call.

Your Questions About AI-Assisted Development Answered

We recently hosted a webinar on AI-assisted development with DORA, and the audience had a lot of questions—far more than we could get to in an hour. I picked out six that get at the stuff people are wrestling with day to day. These aren't the easy questions, and I don't think there are necessarily easy answers, but I've spent the past year building and shipping with AI coding tools and observing (literally) what happens when that code hits production. Here's what I have.

How LLMs can help boost productivity

Learn how large language models (LLMs) are transforming productivity in business, coding, research, and daily workflows. Discover practical ways to use AI tools to automate tasks and improve efficiency. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

How AI lets you talk to your company's data and get answers instantly

In this conversation recorded at Elastic’s New York office, three product leaders discuss how AI agents are transforming enterprise software. The discussion features Steve Kearns (general manager, Search solutions at Elastic), Mike Nichols (general manager, Security solutions at Elastic), and Baha Azarmi (general manager, Observability at Elastic). They explain how Elastic Agent Builder allows teams to interact with their data using natural language instead of complex queries.

Meet the new Bits AI SRE: Deeper reasoning, twice as fast

When we announced Bits AI SRE at DASH 2025, we introduced an autonomous SRE agent that investigates alerts the moment they trigger. Bits AI SRE reads the same telemetry data as your team, understands your architecture, and follows your runbooks to identify likely root causes before you even open your laptop. It’s your AI teammate that’s always on call.

What Is LLMjacking? The New AI Cybercrime Stealing Cloud AI Compute

LLMjacking is a new cybercrime where attackers steal access to cloud-hosted AI models and use them for free — while the victim pays the bill. In this video, we break down what LLMjacking is, how attackers exploit compromised credentials and exposed APIs, and why security teams should treat AI infrastructure as a high-value attack target. Discovered by the Sysdig Threat Research Team, LLMjacking is quickly becoming the AI-era equivalent of cryptojacking — except instead of mining cryptocurrency, attackers run expensive large language models (LLMs) at scale.