Search Results for: chaos engineering
You searched for chaos engineering - DevOps.com
Fundamental Principles of Chaos Engineering Explained
At its core chaos engineering describes a methodology for experimenting on a distributed system in a way that ultimately builds confidence in its ability to withstand turbulent conditions in a production Environment ...
Gremlin Adds Detected Risk Tool to Chaos Engineering Service
Gremlin's risk detection capability in its chaos engineering service automatically identifies issues that could cause outages along with recommendations to resolve them ...
SRE – Chaos Engineering
Chaos engineering isn’t actually about chaos — it’s about carefully controlled experiments on your software, systems and architecture that teach you about the risks and challenges involved in maintaining high availability. It ...
Beyond Chaos Engineering: Using Reliability Scores to Drive Real Results
Improving reliability starts with measuring it. The problem is that proactive approaches to reliability, such as chaos engineering, lack any measurement whatsoever. Most organizations only have backward-facing measurements of un-reliability today and ...
Getting Started With Chaos Engineering
Creating resilient software is a fundamental necessity for modern cloud applications and architectures. As systems are increasingly distributed by design, the potential for unplanned failure and unexpected outages increases significantly. As a ...
Chaos Engineering for DevOps
DevOps is all about safe experimentation, failing fast and continuous feedback loops. Chaos engineering is all about purposefully triggering a software failure in production to build confidence and resilience. How can DevOps ...
Harness Acquires ChaosNative to Meld Chaos Engineering, DevOps
Harness this week announced it acquired ChaosNative as part of a plan to more deeply integrate chaos engineering with DevOps workflows. At the same time, the company added a Harness Service Reliability ...
Secure Software Summit: Applying Chaos Engineering to Software Security
Today’s software systems are, essentially, controlled chaos—and lightly controlled chaos, at that. This makes it exceptionally challenging to model the behavior of those systems. Our systems are quickly becoming larger and larger, ...