copilot-cli
awslogs
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copilot-cli | awslogs | |
---|---|---|
51 | 8 | |
3,308 | 4,749 | |
1.4% | - | |
9.6 | 0.0 | |
6 days ago | 23 days ago | |
Go | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
copilot-cli
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Use AWS Graviton processors on AWS Fargate with Copilot
AWS Copilot CLI is an open source command line interface for running containers on AWS App Runner, Amazon Elastic Container Service (ECS), and AWS Fargate.
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sudo curl -Lo /usr/local/bin/copilot https://github.com/aws/copilot-cli/releases/latest/download/copilot-linux && sudo chmod +x /usr/local/bin/copilot
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Launch HN: Nullstone (YC W22) – An easier way to deploy and manage cloud apps
Check out AWS Copilot CLI: https://aws.github.io/copilot-cli/
This is by far the best way to deploy compute into AWS in containerized workloads.
The abstraction you want is Jobs: ttps://aws.github.io/copilot-cli/docs/concepts/jobs/
Building this any other way on AWS would require provisioning multiple artifacts. The Copilot Jobs abstraction basically encapsulates the provisioning of those artifacts into one repeatable pattern.
- Support of Lambda web adapter on AWS Copilot
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AWS ECS Basics and Tips
AWS Copilot CLI is a tool that lets you deploy production-ready, scalable services on AWS from a Dockerfile in one command.
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Need some help understanding pulling git code to ECS.
and here is the copilot page if you are interested https://aws.github.io/copilot-cli/
- AWS Copilot CLI
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What is your production environment?
For larger high availability required things, AWS ECS with RDS, ElastiCache, CloudFront, S3, etc.. Really like Copilot for deployment/env/secret/sidecar management (probably needs a rename now): https://aws.github.io/copilot-cli/
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Heroku Status – Dashboard/API Offline
We are spending about 60% less. Workload has actually lessened since AWS is so much more stable. Getting to a similar DX as Heroku was quite the lift, but once it's done, it's done. These days we generally only have outages when we screw something up ourselves. I recommend https://github.com/aws/copilot-cli for starting out on ECS.
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Deploying on ECS
I'd recommend checking out AWS Copilot (https://aws.github.io/copilot-cli/)
awslogs
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Logging in Python Like a Pro
Using the official CLI (aws logs get-log-events) or https://github.com/jorgebastida/awslogs is pretty close to SSH-ing and grepping.
- Tail log groups with CW Logs Insights?
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I use cw, which is OSS to tail AWS CloudWatch Logs
cw is a native executable targeting your OS, and not needed external dependencies such as pip and npm. Compared to awslogs which is famous helpful tool for CloudWatch Logs1, cw is written in golang and faster.
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What are you using to analyze/visualize CloudFront logs?
Its a command line tool but some people I know also use awslogs
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Ask HN: Does anyone else find the AWS Lambda developer experience poor?
Not a full solution, but when I was doing this I really got to love the awslogs utility:
https://github.com/jorgebastida/awslogs
It allows you to stream Cloudwatch logs from the command line, so you can grep them, save them to files, etc... (The web based Cloudwatch interface is terrible.)
Another suggestion is to try to modularize the core business logic in your lambda such that you separate the lambda-centric stuff from the rest of it. Obviously, though, if "the rest of it" is hitting other AWS services, you're going to hit the same testing roadblock.
Or you can try mocking, which may or may not provide much value for you. There's a python library for that, (moto), but it's not 100% up to date wrt AWS services/interfaces, last I had checked. Might be worth a try though.
https://github.com/spulec/moto
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Datadog alternatives
Cloudwatch Logs is pretty meh visually, but awslogs can give you a pretty good `tail -f`-like experience, and Insights is pretty good. Cloudwatch Metric Filters give you a 'StatsD'-like experience, in that you can log out a certain message or code and then use its appearance as a metric.
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Cloud watch logs from console always show tail. How to show head without having to click ‘show more’ over and over again?
Check out https://github.com/jorgebastida/awslogs , you can define a `--start`, and it also has a `--watch`, and can be piped the `grep` or whatever you want. It's a pretty flexible tool.
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DevOps tools you should have on your belt
📖 awslogs - a simple command-line tool for querying groups, streams, and events from Amazon CloudWatch logs.
What are some alternatives?
TabNine - AI Code Completions
Loguru - Python logging made (stupidly) simple
terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform
cw - The best way to tail AWS CloudWatch Logs from your terminal
terraforming - Export existing AWS resources to Terraform style (tf, tfstate) / No longer actively maintained
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
awesome-cdk - A collection of awesome things related to the AWS Cloud Development Kit (CDK)
serverless-offline - Emulate AWS λ and API Gateway locally when developing your Serverless project
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
aws-codebuild-docker-images - Official AWS CodeBuild repository for managed Docker images http://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref.html
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
faasd - A lightweight & portable faas engine