Blog

Posts by

Observability   Monitoring  

Is Honeycomb a monitoring tool?

You may notice that we don’t talk about “monitoring” much, and that’s because we don’t really think of monitoring as what we do, even though...

Monitoring   Instrumentation  

Instrumentation: system calls: an amazing interface for instrumentation

When you’re debugging, there are two basic ways you can poke at something. You can: create new instrumentation (like “adding print statements”) use existing instrumentation...

Monitoring   Instrumentation  

Instrumentation: What does 'uptime' mean?

This is the second post in our second week on instrumentation. Want more? Check out the other posts in this series. Ping Julia or Charity...

Monitoring   Instrumentation   Databases  

Instrumentation: Instrumenting HTTP Services

Welcome to the second week of our blog post series on instrumentation, curated by Julia and Charity. This week will focus more on operational and...

Operations   Observability   Dogfooding   Debugging  

How Honeycomb Uses Honeycomb, Part 3: End-to-End Failures

At Honeycomb, one of our foremost concerns (in our product as well as our customers’) is reliability. To that end, we have end-to-end (e2e) checks...

Monitoring   Instrumentation  

Instrumentation: Worst case performance matters

This is the fifth in a series of guest posts about instrumentation. Like it? Check out the other posts in this series. Ping Julia or...

Monitoring   Instrumentation  

Instrumentation: Measuring Capacity Through Utilization

This is the second in a series of guest posts about instrumentation. Like it? Check out yesterday’s piece on the first four things you measure....

Product Updates   Operations   Monitoring  

Honeycomb Triggers - Alert on your Data

We’re happy to announce the launch of Honeycomb Triggers—a method to get notifications when the data you send in to Honeycomb crosses configured thresholds. We’d...

Monitoring   Instrumentation  

Instrumentation: The First Four Things You Measure

Note: this is the first in a series of guest posts about best practices and stories around instrumentation. Like it? Check out the other posts...

Observability   Metrics  

The Problem with Pre-aggregated Metrics: Part 3, the "metrics"

This is the third of three posts focusing on the limitations of pre-aggregated metrics. The first one explained how, by pre-aggregating, you’re tightly constrained when...

Observability   Metrics  

The Problem with Pre-aggregated Metrics: Part 2, the "aggregated"

This is the second of three posts focusing on the limitations of pre-aggregated metrics. The first one explained how, by pre-aggregating, your flexibility is tightly...

Observability   Metrics  

The Problem with Pre-aggregated Metrics: Part 1, the "Pre"

This is the first of three posts focusing on the limitations of pre-aggregated metrics, each corresponding to one of the “pre”, “aggregated”, and “metrics” parts...

Observability  

Honeycomb FAQ in 140 Chars: Getting Started

Welcome! This will be a semi-regular series, where we answer frequently asked questions in short, digestible bites. Or if you prefer long philosophical essays about...

Databases   Connectors & Integrations  

The MySQL Slow Query Log, AWS Golang SDK, RDS and You

Did you know you can do fun things with the MySQL slow query log, using the nothing but the AWS golang SDK for RDS? It’s...

Debugging   Databases  

MySQL and Honeycomb: My First 10 Minutes

As part of the process of building our RDS connector for Honeycomb, we ran it on our own database logs. A few neat things came...

1 34 35 36 37