Notes on our first-ever o11ycon (2018 SF)
It wasn’t until the conference was ending that we learned that everybody thought we were kinda nuts.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Own the Network
Auvik is network infrastructure RMM—remote monitoring and management. It complements your existing RMM solution for PCs and servers to give you visibility into client networks that you’ve probably never had before.
Monitor a VM Instance with Stackdriver, GCP Essentials - Qwiklabs Preview
Preview of the Stackdriver: Qwik Start lab - part of the GCP Essentials Quest on Qwiklabs. Come in with little, or no prior cloud knowledge and come out with practical experience that you can apply to any Google Cloud project.
Self Service Monitoring at Planet Scale: Waze Case Study (Cloud Next '18)
You’ve built a successful app that serves millions of users - great! Now how do you manage your 100’s of microservices that are running in multiple clouds, by various different teams across the org? In this session, we'll share the Waze team’s stories as they’ve transitioned to zero config, self service monitoring for their dev teams.
Release with Confidence: Testing, Debugging, and Monitoring in a Serverless World (Cloud Next '18)
Identifying the cause of a bug in a serverless system can sometimes be difficult. We'll show you how to tame your bugs with testing, and how to diagnose and mitigate problems in production.
Join the Discussion on Sentry's Streamlined SDKs
If you use Sentry, you’re probably familiar with our SDKs. While they aren’t the only reason for Sentry’s success, they do play a very important role, from the first time an error is thrown to the moment you fix the bug. SDKs are often like political figures (editor’s note: there are so many things we resisted saying here) — you don’t notice them if they do a good job. Jokes aside, there are very few expectations for an SDK.
What's New in Splunk Machine Learning Toolkit Version 3.3 and 3.4
Learn more about the new features released in the Machine Learning Toolkit version 3.3 and 3.4.
