Operations | Monitoring | ITSM | DevOps | Cloud

Join us for a high level tour of CircleCI, and learn how to most effectively utilize the platform’s features and capabilities. Every first and third Wednesday, we’ll be offering a technical demo so you can learn best practices and have all your CircleCI questions answered. Topics Covered: How it works: the nuts and bolts of the product Why CircleCI can make developers’ jobs easier and more rewarding How CircleCI can support your security posture by ensuring organizational policies and guardrails are met Greater visibility by surfacing trends and status across your organization

In this webinar, you will learn from real life case studies how to avoid migration roadblocks and how CircleCI is set up to support you in implementing a predictable migration strategy. In addition, Brian O’Halloran, Senior Solutions Engineer, and Zan Markan, Senior Developer Advocate, explain how CircleCI is built differently, and how it can adapt to the needs of your software delivery process.

Pushing data in JSON format to an Apache Kafka topic is very common. However, dealing with messages not having a predefined structure can create some problems, specifically when trying to sink the data via connectors, like the JDBC sink, which require the knowledge of the message structure. Transforming the messages from JSON to AVRO can enforce a schema on messages and allow the usage of a bigger variety of connectors.

Why should we be discussing cloud security in terms of internal infrastructure? This is exactly what Gillian Vanhauwaert from Defense.com spoke about in the final talk of the evening, as she outlined how aspects such as vendor lock-in, external facing, and phishing can impact your journey into the cloud.

Join Ed Bailey and Ahmed Kira as they go into more detail about the Cribl Stream Reference Architecture, with a focus on scaling syslog. In this live stream discussion, Ed and Ahmed will explain guidelines for how to handle high volume UDP and TCP syslog traffic. They will also share different use cases and talk about the pros and cons for using different approaches to solve this common and often painful challenge.

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.

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.

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.

Let Honeycomb map out your distributed services

Debugging with logs in distributed systems can be a pain. It’s tough to search raw data looking for a pattern, relating potential causes with other logs, and checking trace and metrics data for more confirmation. Is finding one pattern enough? What if there are other problems? Who knows how many colliding factors are relevant? At Honeycomb, we’re flipping the script on the log search problem. Hear our resident experts, (former Splunk Ninja) Michael Wilde and Andy Dufour, discuss how Honeycomb customers have technically evolved their log analysis process to achieve fast pattern detection, skipping the search grep/search loop entirely.