datree | Prevent Kubernetes misconfigurations | Continuous Deployment library

by datreeio Go Version: 1.9.4-rc License: Apache-2.0

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kandi X-RAY | datree Summary

datree is a Go library typically used in Devops, Continuous Deployment, Docker applications. datree has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Datree is a CLI tool that supports Kubernetes admins in their roles by preventing developers from making errors in Kubernetes configurations that can cause clusters to fail in production. Our CLI tool is open source, enabling it to be supported by the Kubernetes community. It’s far more effective than manual processes, such as sending an email to a slew of developers, begging them to set various limits, which likely falls on deaf ears because developers are already overwhelmed.

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Quality

Security

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Support

datree has a medium active ecosystem.

It has 6286 star(s) with 323 fork(s). There are 35 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 191 have been closed. On average issues are closed in 71 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of datree is 1.9.4-rc

Quality

datree has no bugs reported.

Security

datree has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

datree is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

datree releases are available to install and integrate.

Installation instructions are available. Examples and code snippets are not available.

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datree Key Features

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datree Examples and Code Snippets

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Community Discussions

Trending Discussions on datree

How to speed up deployments on AWS Fargate?

QUESTION

How to speed up deployments on AWS Fargate?

Asked 2018-Aug-01 at 07:52

After migrating from EC2 cluster instances to AWS Fargate, I realized that deployments take a lot longer. Before they would take 1-2 minutes, now some deplyoments take up to 5 minutes. This post claims that their deployments on Fargate even take up to 10 minutes.

Does anybody know of a way to speed them up? I can't find any documentation on this topic.

...

ANSWER

Answered 2018-Aug-01 at 01:08

Two reasons they're slower, in my experience:

awsvpc network mode attaches an ENI to the task. When it has to do this to a Lambda, if the Lambda is running in a VPC, it is known to dramatically increase the initial spin up time.
Docker image size also affects startup time, since the image will usually need to be downloaded to whatever hidden host for a task to launch. I've done some benchmarking with a small 200MB container and a 2.5GB container. The former did start up quicker.

You can't do much about awsvpc, since Fargate requires it. Shrinking down that image would be your next biggest impact.

Source https://stackoverflow.com/questions/51618252

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