gefyra
Docker Compose
gefyra | Docker Compose | |
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15 | 391 | |
632 | 32,644 | |
1.1% | 0.8% | |
9.4 | 9.6 | |
3 days ago | 3 days ago | |
Python | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
gefyra
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mirrord VS gefyra - a user suggested alternative
2 projects | 3 Oct 2023
Gefyra attempts to provide the same value as mirrord, but in a different way (via VPN).
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Feedback wanted: multi-peer cluster development with Gefyra.
Please find the draft here: https://github.com/gefyrahq/gefyra/issues/353
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Local Development with hot reloading, what does your team do?
- https://gefyra.dev/
- The next phase of development on Kubernetes and the inner dev loop
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Local Docker container, connected to a Kubernetes cluster.
We recently presented our open-source tool Gefyra (https://gefyra.dev) at a "Kubernetes Community Days" event.
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Connecting a local container with a Kubernetes cluster
My team and I created the open-source tool Gefyra: https://github.com/gefyrahq/gefyra
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What techniques, tools, and libraries have you found that legitimately sped up your development time and/or made things easier for you?
Gefyra - a tool that creates local infrastructure to write code directly in a Kubernetes cluster while using conventional development tools (including debugger): https://gefyra.dev
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I was a bit annoyed explaining to our developers how to run their applications in a local Kubernetes cluster, so I started this little helper
As an example: for another project (https://gefyra.dev) I create a Deckfile which contains: - a Keycloak, with initial data (realm, clients, user, etc.) - a service with a sidecar pattern (oauth2-proxy for handling OIDC) - the K8s dashboard for developer experience Have a look: https://github.com/gefyrahq/gefyra-demos/blob/main/deck.yaml And all it takes to run this locally is deck get https://github.com/gefyrahq/gefyra-demos.git Epinio can effectively become part of the Deckfile (so the platform is installed locally already), and the developer can run epinio push immediately after deck get... to bring in new apps. Sounds good.
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Need help configuring Wire-guard on GKE > CloudSQL > pgAdmin
Mhh. Interesting. With Gefyra (https://gefyra.dev) I automated just that process and it seems to work. I tested it successfully with GKE. However, I decided to use a NodePort service. Is your GCP firewall rule UDP based (TCP is default and does not work)?
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Local Kubernetes development with GPU on Apple Silicon M1?
If a local Docker container instance supports GPU access on M1 Mac (and I really don't know) you could use Gefyra (https://gefyra.dev) to run the container with the special hardware requirements on you local Docker host and the rest within Minikube. The container running with Gefyra should behave as it would run within a Kubernetes namespace.
Docker Compose
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Deploy a Grafana dashboard with Docker on AWS EC2
sudo curl -L https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose sudo chmod +x /usr/local/bin/docker-compose
- Docker Compose: `version` is obsolete
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12 Factor: 13 years later
Solutions are many, and could include Docker Compose, VS Code dev containers, Telepresence, Localstack or setting up temporary AWS accounts as a development environment for serverless applications.
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Let's write a simple microservice in Clojure
Using Docker Compose to run Postgres and any third-party services locally provides a streamlined and consistent development environment. Developers can define services in a docker-compose.yml file, which enables them to configure and launch an entire stack with a single command. In this case, Postgres is encapsulated within a container with predefined configurations. Docker Compose also facilitates easy scaling, updates, and isolation of services, enhancing development efficiency and reducing the setup time for new team members or transitioning between projects. It encapsulates complex configurations, such as Postgres' performance monitoring and logging settings, in a manageable, version-controlled file, simplifying and replicating the service setup across different environments.
- Live reload em Go com docker e compile daemon
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Docker compose, orchestrating and automating services
“Compose simplifies the control of your entire application stack, making it easy to manage services, networks, and volumes in a single, comprehensible YAML configuration file. Then, with a single command, you create and start all the services from your configuration file.” - Docker documentation
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Hosting a simple docker-compose app with Nginx and generate a SSL with certbot on digitalocean droplet
curl -fsSL https://get.docker.com -o get-docker.sh sudo sh get-docker.sh # Install docker compose sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose # Apply executable permissions to the binary sudo chmod +x /usr/local/bin/docker-compose # Run Project docker-compose up -d
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One Minute: Compose
Docker,
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How to Set Up a Docker Container
This foundation now opens the door to even more powerful concepts. You can explore more advanced concepts such as container networking, streamlining the management of complex applications with Docker Compose, and how to make your application data persistent using volumes.
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Use same Dockerfile for Dev & Production
In many projects that are containerized, especially in cases where development is also done locally with docker-compose, teams often have two Dockerfiles, 1 for Development, the other for Production. If you happen to have multiple environments like pre-prod, staging and so on, some teams could have different Dockerfiles for these environments.
What are some alternatives?
wireguard-operator - Painless deployment of wireguard on kubernetes
supervisor - Supervisor process control system for Unix (supervisord)
gefyra - Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.
LibreNMS-docker - LibreNMS Docker image
palm-cli - Palm CLI - the tool-belt for data teams
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.
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
Portainer - Making Docker and Kubernetes management easy.
interactive-coding-challenges - 120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Cloud-Init - unofficial mirror of Ubuntu's cloud-init
k8s-perf - A python tool to run sysbench (benchmark tool) and collect performance results
k3s - Lightweight Kubernetes