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Gefyra Alternatives
Similar projects and alternatives to gefyra
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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.
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mirrord
Connect your local process and your cloud environment, and run local code in cloud conditions.
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garden
Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching
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SaaSHub
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gefyra
Blazingly-fast :rocket:, rock-solid, local application development :arrow_right: with Kubernetes.
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interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
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devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
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gefyra reviews and mentions
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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.
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Stats
gefyrahq/gefyra is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of gefyra is Python.
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