Chaos Engineering in 60 seconds - Gremlin Host Memory Attack
Chaos Engineering in 60 seconds - Gremlin Host Memory Attack.
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Chaos Engineering in 60 seconds - Gremlin Host Disk Attack
Chaos Engineering in 60 seconds - Gremlin Host Disk Attack.
Chaos Engineering in 60 seconds - Gremlin Host I/O Attack
Chaos Engineering in 60 seconds - Gremlin Host I/O Attack.
Grubhub and JPMC Shift Reliability Testing Left at Chaos Conf 2020
Get started with Gremlin's Chaos Engineering tools to safely, securely, and simply inject failure into your systems to find weaknesses before they cause customer-facing issues. Gremlin’s Chaos Conf is always an exciting event, bringing together leaders at the forefront of Chaos Engineering practices. This year was no exception, moving beyond defining Chaos Engineering to more advanced adoption and best practices discussions.
ObservabilityCON Day 4 recap: a panel discussion on observability (and its future), the benefits of Chaos Engineering, and an observability demo showcase
Over the past four days, Grafana Labs' ObservabilityCON 2020 brought together the Grafana community for talks dedicated to observability. We hope you enjoyed all of the sessions, which are available on demand now. (Link to them from the schedule on the event page). The conference wrapped up with predictions and advice from observability experts, lessons in failure, and Grafana Labs team members showcasing ways Grafana and other tools fit into an observability workflow.
Chaos Engineering: How to create an automated Chaos Gauntlet with Gremlin and Jenkins on AWS
In this video, we will demonstrate how to use Gremlin and Jenkins to create an automated Chaos Gauntlet. This will be done using Jenkins Pipelines and Stages to inject a controlled amount of failure with the Gremlin API. We then add a final stage that allows you to optionally halt the attack from the pipeline, rather than having to wait for the full duration of the attack.
Breaking Serverless Things on Purpose: Chaos Engineering in Stateless Environments - Emrah Samdan
Serverless enabled us to build highly distributed applications that led to more granular functions and ultimate scalability. However, it also brought the risk of failure from a single microservice to many serverless functions and resources. You might be able to predict and design for certain troublesome issues but there are many, many more that you probably will not be able to easily plan for. How do you build a resilient system under these highly distributed circumstances? The answer is Chaos Engineering: Breaking things on purpose just to experience how the whole system will react.
Chaos Engineering: The Path to Reliability - Kolton Andrus
We’re all here for the same purpose: to ensure the systems we build operate reliably. This is a difficult task, one that must balance people, process and technology during difficult conditions. We operate with incomplete information, assessing risks and dealing with emerging issues. We’ve found Chaos Engineering to be a valuable tool in addressing these concerns. Learn from real world examples what works, what doesn’t, and what the future holds.
Identifying Hidden Dependencies - Liz Fong Jones
You don't need to write automation or deploy on Kubernetes to gain benefits from resilience engineering! Learn how Honeycomb improved the reliability of our Zookeeper, Kafka, and stateful storage systems through terminating nodes on purpose. We'll discuss the initial manual experiments we ran, the bugs in our automatic replacement tools we uncovered, and what steps we needed to progress towards continuously running the experiments. Today, no node at Honeycomb lives longer than 12 months, and we automatically recycle nodes every week.
Lessons from Incident Management and Postmortems at Atlassian - Jim Severino
How do you run incidents and postmortems at a company with thousands of engineers spread across the globe? Jim Severino shares what worked (and didn't worked) for Atlassian.