#python #ansible #aws #azure #coding #containers #devops #docker #git #interview #interview_questions #kubernetes #linux #openstack #production_engineer #prometheus #python #sql #sre #terraform

This repository contains a collection of exercises and questions on various technical topics, including DevOps and SRE. It offers 2624 exercises that can be useful for preparing for interviews or learning new concepts. The repository covers a wide range of subjects such as networking, operating systems, cloud computing, and more. By using these resources, you can improve your skills in areas like software development, infrastructure management, and system reliability engineering. This helps you become more proficient in handling complex IT environments and enhances your career prospects in related fields.

https://github.com/bregman-arie/devops-exercises

#other #awesome #awesome_list #devops #list #ops #self_hosted #software #sre #sysadmin

This list provides a collection of free and open-source tools for system administrators. It covers various areas such as **automation**, **backups**, **cloud computing**, **configuration management**, **continuous integration & deployment**, **identity management**, **log management**, **monitoring**, **network configuration**, **security**, and more. These tools help sysadmins manage systems efficiently, automate tasks, ensure security, and monitor performance. By using these resources, sysadmins can streamline their work processes and improve overall system reliability and productivity.

https://github.com/awesome-foss/awesome-sysadmin

#python #awesome #awesome_list #collections #development #devops #production #productivity #resources #sre #tools

DevOps is a way of working that combines development and operations teams to deliver software faster and more reliably. It helps organizations improve communication, efficiency, and speed by breaking down barriers between teams. This approach allows for continuous improvement, better collaboration, and faster time-to-market, which benefits users by providing them with updated and reliable software quickly.

https://github.com/wmariuss/awesome-devops

#go #agents #ai #caching #ci_cd #containers #continuous_deployment #continuous_integration #dag #dagger #devops #docker #graphql #workflows

Dagger is a tool that helps make workflows easier to manage. It lets you break down complex tasks into smaller, reusable parts that can run in different environments. This means you can work with many languages and tools without worrying about compatibility issues. Dagger also helps you see what's happening in your workflows, making it easier to fix problems. It saves time and money by caching results, so you don't have to redo tasks. Overall, Dagger makes it simpler to build and manage workflows, especially for AI and software development tasks.

https://github.com/dagger/dagger

#typescript #cloud_native #dashboard #debugging #devops #headlamp #k8s #kinvolk #kubernetes #kubernetes_dashboard #kubernetes_debugging #kubernetes_monitoring #kubernetes_ui #orchestration #plugins

Headlamp is a user-friendly tool for managing Kubernetes. It provides a graphical interface that makes it easier for people to use Kubernetes without needing to write complex commands. This tool is extensible, meaning you can add plugins to customize it for your needs. It works with multiple clusters and shows resources like pods and deployments. Headlamp also respects user permissions, so you can only perform actions you are allowed to do. This helps make Kubernetes more accessible to a wider range of users.

https://github.com/kubernetes-sigs/headlamp

#java #automation #data_orchestration #devops #high_availability #infrastructure_as_code #java #low_code #lowcode #orchestration #pipeline #pipeline_as_code #workflow

Kestra is an open-source platform that helps manage complex workflows easily. It uses a simple YAML code to define workflows, which can be automated based on schedules or real-time events. Kestra supports many plugins, allowing integration with various data sources and tools. This makes it easy to automate tasks like data processing and infrastructure management. The platform is scalable, fault-tolerant, and offers real-time monitoring, making it beneficial for teams handling large data pipelines and complex workflows. It simplifies workflow management, reduces errors, and boosts efficiency.

https://github.com/kestra-io/kestra

#go #devops_workflow #encrypt_secrets #gitops #kubernetes #kubernetes_secrets

Sealed Secrets is a tool for Kubernetes that lets you safely store sensitive information—like passwords or API keys—in your code repository by encrypting them so only your Kubernetes cluster can decrypt them. You use a tool called `kubeseal` to encrypt secrets on your computer, and then store the encrypted result in your repository. When you apply this encrypted secret to your cluster, a special controller inside Kubernetes decrypts it and creates a regular secret that your apps can use. This means you can manage all your configuration in Git, even secrets, without worrying about exposing sensitive data, and only the cluster itself can access the real secret[2][5][1]. The benefit is that your secrets are protected at every step, and you can use Git workflows for everything, making your setup more secure and easier to manage.

https://github.com/bitnami-labs/sealed-secrets

#go #argocd #cloud_native #cncf #container_management #devops #ebpf #hacktoberfest #istio #jenkins #k8s #kubernetes #kubernetes_platform_solution #kubesphere #llm #multi_cluster #observability #servicemesh

KubeSphere is an easy-to-use, open-source platform that helps you manage Kubernetes clusters across clouds, data centers, and edge devices from one place. It offers a friendly web interface, supports multi-cluster and multi-tenant management, and automates DevOps tasks like CI/CD pipelines. You get built-in monitoring, logging, alerting, and security features such as role-based access control. It also includes an App Store for quick deployment of applications and supports various storage and networking options. This makes managing complex Kubernetes environments simpler, faster, and more secure, saving you time and reducing operational challenges.

https://github.com/kubesphere/kubesphere

#python #agents #ai #api_gateway #asyncio #authentication_middleware #devops #docker #fastapi #federation #gateway #generative_ai #jwt #kubernetes #llm_agents #mcp #model_context_protocol #observability #prompt_engineering #python #tools

The MCP Gateway is a powerful tool that unifies different AI service protocols like REST and MCP into one easy-to-use endpoint. It helps you manage multiple AI tools and services securely with features like authentication, retries, rate-limiting, and real-time monitoring through an admin UI. You can run it locally or in scalable cloud environments using Docker or Kubernetes. It supports various communication methods (HTTP, WebSocket, SSE, stdio) and offers observability with OpenTelemetry for tracking AI tool usage and performance. This gateway simplifies connecting AI clients to diverse services, making development and management more efficient and secure.

https://github.com/IBM/mcp-context-forge

#go #containers #deployment #devops #docker #docker_compose #golang #hacktoberfest #kubernetes #orchestration #self_hosted

Uncloud lets you run and manage web apps across multiple servers (cloud, home, or bare metal) as easily as using Docker Compose, but with production features like zero-downtime updates, automatic HTTPS, and cross-machine scaling. It connects your machines into a secure, private network without needing a central control server, so there’s less to manage and no single point of failure. You keep full control of your infrastructure and data, avoid vendor lock-in, and get a simple, cloud-like experience without the complexity of Kubernetes.

https://github.com/psviderski/uncloud

#typescript #devops #infra #infrastructure

Make beautiful isometric infrastructure diagrams

https://github.com/stan-smith/FossFLOW