In this post, we are going to see how to monitor docker logs from AWS Cloudwatch logs. Docker supports different logging drivers one of which is awslogs
For this excersice, Docker container need NOT be running on EC2. We can send docker logs from anywhere to AWS.
| --- | |
| - name: Create Instance in AWS | |
| hosts: localhost | |
| connection: local | |
| gather_facts: false | |
| vars: | |
| aws_access_key: "xxxxxx" | |
| aws_secret_key: "xxxxxx" | |
| security_token: "xxxxxx" |
| # Example which shows how to reach nested ansible variable which is partially different. | |
| # Run that plabook with ansible-playbook -e "env=test" ansible-nested-variable.yml | |
| --- | |
| # | |
| - hosts: localhost | |
| connection : ssh | |
| gather_facts: no | |
| vars: | |
| cidr_blocks: | |
| vpc_production_cidr_block: "10.10.0.0/28" |
| # Add this snippet to the top of your playbook. | |
| # It will install python2 if missing (but checks first so no expensive repeated apt updates) | |
| # gwillem@gmail.com | |
| - hosts: all | |
| gather_facts: False | |
| tasks: | |
| - name: install python 2 | |
| raw: test -e /usr/bin/python || (apt -y update && apt install -y python-minimal) |
This is a mix between two sources:
basically the first resource is great but didn't work for me: I had to remove the trailing "/*" in the resource string to make it work. I also noticed that setting the policy on the source bucket was sufficient. In the end these are the exact steps I followed to copy data between two buckets on two accounts
Basically the idea there is:
| #!/bin/bash | |
| ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04 | |
| ### steps #### | |
| # verify the system has a cuda-capable gpu | |
| # download and install the nvidia cuda toolkit and cudnn | |
| # setup environmental variables | |
| # verify the installation | |
| ### |
| #!/bin/bash | |
| ## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04 | |
| ### steps #### | |
| # verify the system has a cuda-capable gpu | |
| # download and install the nvidia cuda toolkit and cudnn | |
| # setup environmental variables | |
| # verify the installation | |
| ### |
| --- | |
| - hosts: all | |
| tasks: | |
| - name: Install prerequisites | |
| apt: | |
| name: ['apt-transport-https','ca-certificates','curl','gnupg2','software-properties-common'] | |
| update_cache: yes | |
| - name: Add Docker GPG key | |
| apt_key: url=https://download.docker.com/linux/ubuntu/gpg |
| ## Generate a key | |
| # openssl rand -base64 741 > mongodb-keyfile | |
| ## Create k8s secrets | |
| # kubectl create secret generic mongo-key --from-file=mongodb-keyfile | |
| --- | |
| apiVersion: v1 | |
| kind: Service | |
| metadata: | |
| name: mongo | |
| labels: |
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
