apollo-client
kubernetes
apollo-client | kubernetes | |
---|---|---|
30 | 662 | |
19,212 | 106,923 | |
0.2% | 0.8% | |
9.8 | 10.0 | |
4 days ago | 5 days ago | |
TypeScript | Go | |
MIT License | Apache License 2.0 |
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.
apollo-client
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Things I wish I knew before moving 50K lines of code to React Server Components
Actually, it's worse than that. Next has started throwing errors if it statically detects you even _importing_ hooks inside of a React Server Component environment:
- https://github.com/apollographql/apollo-client/issues/10974
- https://github.com/apollographql/apollo-client/issues/11167
To the point that Lenz Weber( a maintainer of Apollo Client, and my co-maintainer on Redux Toolkit), is considering resorting to a package that wraps and re-exports all of React's public API just to avoid that static analysis:
- https://github.com/apollographql/apollo-client/pull/11175
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Top React Data Fetching Libraries
Apollo Client (18k ⭐) -> A comprehensive state management library for JavaScript that enables you to manage both local and remote data with GraphQL. Use it to fetch, cache, and modify application data, all while automatically updating your UI.
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Using apollo client cache for local state
This currently doesn't work as expected so I have logged this issue in apollo client repo.
- React Server Components
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Sveltekit SPA Mode: Prevent serverside code
I understand this has something to do with the fact, that SvelteKit expects the client and server code to be completely identical - this has already prompted changes to rxjs and apollo is still pending to be fixed. I understand the reason behind being able to run rxjs and apollo on the server but
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Handling Apollo Errors in React
There is a long-standing issue with error caching (its absence, that is), which leads to errors being rendered as a loading state on the server side. Therefore, if you're doing SSR, you might want to design your schema in such a way that there are no intentional errors in queries whatsoever. To do so, we can use null values instead of NOT_FOUND errors (see how we essentially treated errors as data here?). Note how nothing stops us from setting the response code to 404 in case of a null value, should we want so.
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Next.js 13: Layouts, React Server Components (async/await), Streaming
Lol apollo client too.. saw this issue opened like, immediately after the release https://github.com/apollographql/apollo-client/issues/10231
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Paginating an already fetched set of data - Apollo Client/Server
There were some caching issues, outlined here https://github.com/apollographql/apollo-client/issues/6916 to be aware of
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The Case for C# and .NET
If you look at how major backend projects structure their code, it's almost always object-oriented TypeScript.
I submit for the record:
- Apollo Client: https://github.com/apollographql/apollo-client/blob/main/src...
- Storybook: https://github.com/storybookjs/storybook/blob/next/lib/chann...
- Nest: https://github.com/nestjs/nest/blob/master/packages/core/nes...
- MongoDB Driver: https://github.com/mongodb/node-mongodb-native/blob/main/src...
- Prisma: https://github.com/prisma/prisma/blob/main/packages/engine-c...
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A high-level overview of Concurrent React
[※Alert: The following is a code example using the Apollo Client notation, but the Apollo Client does not support Suspense at this time. Github issue about Suspense support: https://github.com/apollographql/apollo-client/issues/9627]
kubernetes
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The guide to kubectl I never had.
I’m joking of course. I’m not really sure about what a faded keyboard says about its owner. What I do know for sure is how important kubectl is to anybody who wants to be a proficient Kubernetes administrator.
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Streamlining Deployments: Unveiling the Power of GitOps with Kubernetes
In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.
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Using NetBird for Kubernetes Access
Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.
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My Favorite DevTools to Build AI/ML Applications!
Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
To learn more, you can start by exploring the official Kubernetes documentation.
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Building Llama as a Service (LaaS)
With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.
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The power of the CLI with Golang and Cobra CLI
This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.
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Upgrading Hundreds of Kubernetes Clusters
We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.
What are some alternatives?
react-relay - Relay is a JavaScript framework for building data-driven React applications.
Apache ZooKeeper - Apache ZooKeeper
urql - The highly customizable and versatile GraphQL client with which you add on features like normalized caching as you grow.
bosun - Time Series Alerting Framework
TanStack Query - 🤖 Powerful asynchronous state management, server-state utilities and data fetching for the web. TS/JS, React Query, Solid Query, Svelte Query and Vue Query.
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
sveltekit-graphql-github - Use Apollo Client with SvelteKit to Query a GraphQL API: we use the GitHub API to query our repos and learn a bit of SvelteKit along the way.
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
react-query - 🤖 Powerful asynchronous state management, server-state utilities and data fetching for TS/JS, React, Solid, Svelte and Vue. [Moved to: https://github.com/TanStack/query]
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
graphql-request - Minimal GraphQL client
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).