Search Results for "so"
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Showing 27 open source projects for "so"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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1
KubeLinter
KubeLinter is a static analysis tool that checks Kubernetes YAML files
...Some common examples of these include running containers as a non-root user, enforcing least privilege, and storing sensitive information only in secrets. KubeLinter is configurable, so you can enable and disable checks, as well as create your own custom checks, depending on the policies you want to follow within your organization. When a lint check fails, KubeLinter reports recommendations for how to resolve any potential issues and returns a non-zero exit code. -
2
cAdvisor
Analyzes resource usage and performance characteristics
...This data is exported by container and machine-wide. cAdvisor has native support for Docker containers and should support just about any other container type out of the box. We strive for support across the board so feel free to open an issue if that is not the case. cAdvisor's container abstraction is based on lmctfy's so containers are inherently nested hierarchically. To quickly tryout cAdvisor on your machine with Docker, we have a Docker image that includes everything you need to get started. You can run a single cAdvisor to monitor the whole machine. -
3
kube-rs
Rust Kubernetes client and controller runtime
...These crates build upon Kubernetes API machinery + API concepts to enable generic abstractions. These abstractions allow Rust reinterpretations of reflectors, controllers, and custom resource interfaces so that you can write applications easily. -
4
Rainbond
A container platform that needs no Kubernetes learning
...Rainbond is built for complex enterprise delivery scenarios such as private deployment, offline delivery, internal-network environments, Xinchuang adaptation, ARM migration, and AI application privatization. It includes marketplace and template capabilities so teams can reuse applications and replicate deployments across customer environments. Its goal is to let development and delivery teams work at the application level while platform teams handle the underlying Kubernetes complexity. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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5
OpenYurt
Extending your native Kubernetes to edge(project under CNCF)
...It addresses specific challenges for cloud-edge orchestration in Kubernetes such as unreliable or disconnected cloud-edge networking, edge autonomy, edge device management, region-aware deployment, and so on. OpenYurt preserves intact Kubernetes API compatibility, is vendor agnostic, and more importantly, is SIMPLE to use. OpenYurt follows a classic cloud-edge architecture design. It uses a centralized Kubernetes control plane residing in the cloud site to manage multiple edge nodes residing in the edge sites. -
6
Tilt
Define dev environment as code for microservice apps on Kubernetes
...And if you are an expert, no more 20 questions with kubectl. Tilt responsively handles the tedious and repetitive parts of your workflow and gives you peripheral vision so you find errors faster. Recapture the magic of hacking with immediate feedback. -
7
kured
Kubernetes Reboot Daemon
Kured (KUbernetes REboot Daemon) is a Kubernetes daemonset that performs safe automatic node reboots when the need to do so is indicated by the package management system of the underlying OS. -
8
Aria2 AriaNg Docker
The Docker image for Aria2 + AriaNg + File Browser + Rclone
One Docker image for file downloading, managing, sharing, as well as video playing and evening cloud storage synchronization. Furthermore, it's pretty small and ARM CPU compatible which means you can also run it on Raspberry Pi. Last but not least, Auto HTTPS can't be more easy. -
9
faas-netes
Serverless Functions For Kubernetes
...It's part of a larger stack that brings a cloud-agnostic serverless experience to Kubernetes. The existing REST API, CLI, and UI are fully compatible. With OpenFaaS Standard/Enterprise, you have an optional operator mode so that you can manage functions with Kubectl and a CustomResource. You can deploy OpenFaaS to any Kubernetes service - whether managed or local, including to OpenShift. You will find specific instructions and additional links in the documentation. OpenFaaS (Functions as a Service) is a framework for building serverless functions with Docker and Kubernetes which has first-class support for metrics. ... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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10
dhall-haskell
Maintainable configuration files
...You will probably want to use the shared caches hosted at cache.dhall-lang.org and dhall.cachix.org when doing Nix development. This is not required, but this will save you a lot of time so that you don't have to build as many dependencies from scratch the first time. If you prefer installing the binaries locally in a nix shell environment instead, just run nix-shell in the top-level directory. This option provides additional flexibility with respect to overriding some of the default parameters (e.g. the compiler version), which makes it particularly useful for developers. -
11
Eru
Eru, a simple, stateless, flexible, production-ready orchestrator
Eru, a simple, stateless, flexible, production-ready orchestrator designed to easily integrate into existing workflows. Can run any virtualization things in long or short time. Eru can use multiple engines to run anything for the long or short term. This project is Eru Core. The Core use for resource allocation and managing resources' lifetime. After we implemented bootstrap in eru, now you can build and deploy eru with cli tool. Make sure you can clone code. After the fresh image was named... -
12
redis-operator
Redis Operator creates/configures/manages high availability redis
...Kubernetes version: 1.21 or higher Redis version: 6 or higher. Redis operator is being tested against Kubernetes 1.25 1.26 1.27 and redis 6 All dependencies have been vendored, so there's no need to any additional downloads. -
13
kubecolor
colorizes kubectl output
Colorize your kubectl output. kubecolor colorizes your kubectl command output and does nothing else. kubecolor internally calls kubectl command and try to colorize the output so you can use kubecolor as a complete alternative of kubectl. It means you can write this in your .bash_profile. -
14
Opta
The next generation of Infrastructure-as-Code
...Opta has a vast library of modules (like EKS, RDS, DynamoDB, GKE, Cloud SQL, and even third-party services like Datadog) that engineers can compose together to build their ideal infrastructure stack. It's built on top of Terraform, and designed so engineers aren’t locked in – anyone can write custom Terraform or even take the Opta-generated Terraform and work independently. -
15
Brigade
Event-driven scripting for Kubernetes
...It integrates with many different event sources, more are always being added, and it's easy to create your own if you need something specific. The best part is that Kubernetes is well-abstracted so even team members without extensive Kubernetes experience or without direct access to a cluster can be productive. -
16
Microsoft OpenPAI FrameworkController
General-Purpose Kubernetes Pod Controller
So, we have to learn, use, develop, deploy and maintain so many Pod controllers. Partitioned to different heterogeneous TaskRoles which share the same lifecycle. Ordered in the same homogeneous TaskRole by TaskIndex. With consistent identity {FrameworkName}-{TaskRoleName}-{TaskIndex} as PodName. -
17
Not Another Markup Language
Convert Kubernetes YAML to Golang
NAML is a Go library and command line tool that can be used as a framework to develop and deploy Kubernetes applications. Kubernetes applications are complicated, so let's use a proper Turing complete language to reason about them. -
18
kubernetes-event-exporter
Export Kubernetes events to multiple destinations with routing
This tool allows exporting the often missed Kubernetes events to various outputs so that they can be used for observability or alerting purposes. You won't believe what you are missing. Configuration is done via a YAML file, when run in Kubernetes, ConfigMap. The tool watches all the events and the user has to option to filter out some events, according to their properties. Critical events can be routed to alerting tools such as Opsgenie, or all events can be dumped to an Elasticsearch instance. ... -
19
Crunchy Container Suite
Containers for Managing PostgreSQL on Kubernetes by Crunchy Data
...We can help you with your journey and assist in providing the operational and developer experience you've always wanted with the database you've always loved. Data is one of your most valuable assets, Crunchy Postgres ensures your data is safe and backed up so you can sleep easily. With built-in connection scaling you can easily scale to tens of thousands of connections for your database. With Crunchy Data and open-source Postgres, you are not locked-in into proprietary technology. Get the insights you need to know what is happening with your database with monitoring included. -
20
Swoft
PHP Microservice full Coroutine framework
...There are similar Go language operations, similar to the Spring Cloud framework flexible annotations, powerful global dependency injection container, comprehensive service governance, flexible and powerful AOP, standard PSR specification implementation, and so on. Through three years of accumulation and direction exploration, Swoft has made Swoft the Spring Cloud in the PHP world, which is the best choice for PHP's high-performance framework and microservices management. Built-in high-performance network server(HTTP/Websocket/RPC/TCP). Flexible componentization. Flexible annotation function. ... -
21
Kubeval
Validate your Kubernetes configuration files, supports Kubernetes
Kubeval is used to validate one or more Kubernetes configuration files and is often used locally as part of a development workflow as well as in CI pipelines. The Kubernetes API allows for specifying properties on objects that are not part of the schemas. However, kubectl will throw an error if you use it with such files. Kubeval can be used to simulate this behavior using the --strict flag. Alternatively, Kubeval can also take input via stdin which can make using it as part of an automated... -
22
kube-prompt
An interactive kubernetes client featuring auto-complete.
An interactive kubernetes client featuring auto-complete using go-prompt. kube-prompt accepts the same commands as the kubectl, except you don't need to provide the kubectl prefix. So it doesn't require the additional cost to use this cli. -
23
LOG HOUSE
Ready to use log management solution for Kubernetes storing data
...Easy and quick to deploy in an already functioning Kubernetes cluster. The status is alpha. However, we (Flant) use it in our production Kubernetes deployments since September 2017. Data structure might change during alpha releases, so please be careful when updating (all relevant information is published in corresponding release notes). The data structure will become stable in the beta version. -
24
CRFS
CRFS: Container Registry Filesystem
...Instead of downloading entire layers upfront, it fetches file ranges on demand and maintains a content-addressed cache, yielding fast startup and lower bandwidth for large images. The system speaks registry protocols and understands layered image formats, resolving whiteouts and overlays so the mounted view matches what a container runtime would see. A FUSE (or platform-equivalent) frontend makes it trivial to integrate with existing tools: compilers, test runners, or debuggers can read files as if they were local. This lazy, verified access pattern is especially valuable in CI and developer workflows where you inspect or compile a few files from a massive base image. ... -
25
Kubectl-debug
Out-of-tree solution for troubleshooting running pods
kubectl-debug is an out-of-tree solution for troubleshooting running pods, which allows you to run a new container in running pods for debugging purposes (examples). The new container will join the pid, network, user and IPC namespaces of the target container, so you can use arbitrary trouble-shooting tools without pre-installing them in your production container image.