Introducing Kayenta: An open automated canary analysis tool from Google and Netflix

Introducing Kayenta: An open automated canary analysis tool from Google and Netflix

  • April 11, 2018
Table of Contents

Introducing Kayenta: An open automated canary analysis tool from Google and Netflix

Speed and scalability bottlenecks: For organizations like Google and Netflix that run at scale and that want to perform comparisons many times over multiple deployments in a single day, manual canary analysis isn’t really an option. Even for other organizations, a manual approach to canary analysis can’t keep up with the speed and shorter delivery time frame of continuous delivery. Configuring dashboards for each canary release can be a significant manual effort, and manually comparing hundreds of different metrics across the canary and baseline is tiresome and laborious.

Source: googleblog.com

Tags :
Share :
comments powered by Disqus

Related Posts

Scaling Uber’s Hadoop Distributed File System for Growth

Scaling Uber’s Hadoop Distributed File System for Growth

Uber’s Data Infrastructure team overhauled our approach to scaling our storage infrastructure by incorporating several new features and functionalities, including ViewFs, NameNode garbage collection tuning, and an HDFS load management service.

Read More
Now, you can deploy to Kubernetes Engine from GitLab with a few clicks

Now, you can deploy to Kubernetes Engine from GitLab with a few clicks

Read More
Scaling Infrastructure Management with Grail

Scaling Infrastructure Management with Grail

To build and maintain infrastructure at scale, easy access to the current state of the system is paramount. As Uber’s business continues to expand, our infrastructure has grown in size and complexity, making it more difficult to get all the information we need, when we need it.

Read More