Operations | Monitoring | ITSM | DevOps | Cloud

Chaos Engineering

How Gremlin runs a GameDay

You might be familiar with GameDays at this point. From watching our Introduction to GameDay webinar, viewing our Demo video, and reading our tutorial, you’ve probably learned that GameDays were created with the goal of increasing reliability by purposely creating major failures on a regular basis. Better yet, perhaps your own team has run a GameDay and learned something new about their services’ behavior during failure scenarios.

Introduction to GameDay webinar

Learn all about Gremlin's GameDay feature in this webinar presented by Sydney Lesser and Andre Newman. GameDays are organized team events to proactively improve reliability using Chaos Engineering principles. Gremlin makes it easier than ever to prepare, execute, and learn from them. Increase your system’s reliability with safe, secure, and simple GameDays.

Podcast: Break Things on Purpose | Natalie Conklin: Learning to Embrace Change

Natalie Conklin, tamer of chaos and Head of Engineering here at Gremlin, joins us to talk about embracing change, working alongside each other, and building more reliable systems. Natalie has a talk coming up at DevOpsDays Boise which she has titled “Embracing Change Fearlessly.” Her talk is oriented around enabling teams to take calculated risks and having the guts to take those risks. Natalie spent time working in India, which helped solidify her “fearlessly” philosophy.

Podcast: Break Things on Purpose | JJ Tang: People, Process, Culture, Tools

For this episode we’re continuing to “Build Things on Purpose” with JJ Tang, co-founder of Rootly, who joins us to talk about incident response, the tool he’s built, and his many lessons learned from incidents. Rootly is aiming to automate some of the more tedious work around incidents, and keeping that consistency. JJ chats about why he and his co-founder built Rootly, and the problems they’re trying to fix and eliminate when it comes to reliability.

Chaos Engineering & Autonomous Optimization combined to maximize resilience to failure

Today’s enterprises are struggling to cope with the complexities of their environments, technologies, and applications. On top of these challenges, they face faster release rates, and the need to always deliver the highest level of performance and availability to end-users, at the lowest possible cost.