Operations | Monitoring | ITSM | DevOps | Cloud

Latest Videos

See How Coveo Engineers Reduced User Latency

Many teams are wasting far too much time and energy searching through massive amounts of log data trying to find answers to user latency issues. Metrics data doesn’t help either as it only tells you that there is a problem, not where to fix it. This is why Coveo turned to observability. Through implementing observability with Honeycomb, Coveo was able to reduce their user latency by 50 percent.

Join Jeli and Honeycomb for an Incident Response and Analysis Discussion

Solutions Engineers Vanessa Huerta Granda and Emily Ruppe from Jeli, along with Honeycomb’s Field CTO Liz Fong-Jones and SRE Fred Hebert discuss some of our more interesting recent incidents and how we use Honeycomb and Jeli together for incident response.

Learn How SumUp Implemented SLOs to Mitigate User Outages and Reduce Customer Churn

Blake Irvin and Matouš Dzivjak from SumUp’s Software Engineering team, Honeycomb Solution Architect Michael Sickles and Account Executive Nathan Leary, discuss how SumUp incorporated observability, specifically, SLOs, to identify and resolve issues before they grew into customer-noticeable problems.

Platform Engineering Is the Future of Ops

Ops and DevOps roles as we know them are on their way to becoming extinct—the future is platform engineering. While DevOps engineers typically focus on the application layer, platform engineers focus on the underlying infrastructure layer. Without a solid and reliable platform, it can be challenging to deploy and maintain software applications effectively. This can result in downtime, poor performance, and security vulnerabilities. Platform engineering enables software applications and services to run effectively and efficiently and has a direct impact on the user experience and the success of the entire organization.

Honeycomb Service Level Objectives (SLOs)

In this 3-minute video, you’ll see how Honeycomb’s actionable SLOs can help you get to the source of an issue faster. Using a real production SLO (latency per-event) as an example, we walk you through what exhaustion time alerts are and how to configure them, as well as how to use a heatmap to investigate and take action when things happen.

Building Observability in Your CircleCI Deploy

With Liz Fong Jones, Principal Developer Advocate at Honeycomb and Ryan Pedersen, Senior Solutions Engineer at CircleCI In this talk, you’ll learn how Honeycomb keeps its CircleCI workflow duration at about 10 minutes per build through parallelizing build steps, using native container builders per architecture, and tracing execution of the build to know where to optimize.