#go #ingress_controller #kubernetes #nginx

The Ingress NGINX Controller helps manage traffic to applications in a Kubernetes cluster. It uses NGINX as a reverse proxy and load balancer, which means it can handle a lot of traffic efficiently and securely. This controller is beneficial because it improves performance, enhances security with features like SSL/TLS termination, and simplifies web traffic management. It's also easy to set up and manage, making it a popular choice for exposing applications to the outside world.

https://github.com/kubernetes/ingress-nginx

#go #argo_rollouts #argoproj #bluegreen #canary #deployments #experiments #gitops #hacktoberfest #kubernetes #progressive_delivery

Argo Rollouts is a tool for Kubernetes that helps you update applications safely and smoothly. It offers strategies like blue-green and canary deployments, which allow you to test new versions of your app without affecting users. You can control how much traffic goes to the new version and automatically roll back if something goes wrong. This helps prevent big problems during updates and ensures your app stays stable. It also integrates with other tools to monitor performance and make decisions based on real data.

https://github.com/argoproj/argo-rollouts

#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

#go #amazon_s3 #cloud #cloudnative #cloudstorage #go #k8s #kubernetes #multi_cloud #multi_cloud_kubernetes #objectstorage #s3 #storage

MinIO is a fast and scalable object storage system that works like Amazon S3. It's great for storing large amounts of data, especially for machine learning and analytics projects. MinIO is easy to use, runs on many platforms, and supports Kubernetes for easy management. It also provides strong data protection with features like erasure coding and encryption. This makes MinIO a good choice for businesses that need reliable and efficient data storage solutions.

https://github.com/minio/minio

#go #cloud #devsecops #k8s #kubernetes #mesh #mesh_network #network #networking #overlay_network #security #self_hosted #virtual_network #virtual_networking #vpn #vpn_server #wg_quick #wireguard #wireguard_ui #wireguard_vpn #zero_trust

Netmaker is a powerful tool for creating and managing secure networks. It uses WireGuard to provide fast and secure connections, allowing you to connect devices anywhere in the world. With features like mesh VPNs and multi-network segmentation, you can organize your networks securely and efficiently. Netmaker also offers robust access controls and integration with OAuth for secure user management. This helps keep your network safe and compliant, making it ideal for businesses managing complex network setups.

https://github.com/gravitl/netmaker

#java #cloud_native #hacktoberfest #java #kubernetes #reactive

Quarkus is a Java framework designed for cloud-native and container-first applications, making Java apps start up much faster and use less memory, which lowers cloud costs. It supports both traditional and reactive programming styles in one framework, so you can develop efficiently without learning new tools. Quarkus uses build-time processing and can compile to native images for even better performance. It integrates popular Java standards and libraries, making development smoother and more enjoyable. This means you can build modern, fast, and cost-effective Java applications easily, especially for Kubernetes and cloud environments[1][2][4][5].

https://github.com/quarkusio/quarkus

#go #ai #assistant #cli #kubernetes

**kubectl-ai** is a tool that helps manage Kubernetes using AI. It lets you ask questions or give commands in simple language, and it will execute the right Kubernetes actions for you. This makes it easier to manage your Kubernetes cluster without needing to remember complex commands. You can use it to check app status, create deployments, or troubleshoot issues, all by just typing what you want to do. It supports various AI models and can be used interactively or with other Unix commands, making it a powerful assistant for Kubernetes users.

https://github.com/GoogleCloudPlatform/kubectl-ai

#csharp #architecture #aspnetcore #clean_architecture #cqrs #ddd #dotnet #dotnetcore #event_driven_architecture #event_sourcing #kubernetes #masstransit #messaging #microservice #microservices #oauth2 #opentelemetry #software_architecture #software_design #software_engineering #vertical_slice_architecture

Migrating from a monolithic architecture to a cloud-native microservices architecture offers several benefits. It improves scalability, allowing different parts of the application to grow independently. This approach also enhances reliability by isolating faults, so if one service fails, others continue to work. Additionally, microservices enable faster deployment and updates, as each service can be developed and deployed separately. This flexibility allows teams to use the best technology for each service, making development more efficient and agile[2][3][5].

https://github.com/meysamhadeli/monolith-to-cloud-architecture

#jupyter_notebook #a2a #agentic_ai #dapr #dapr_pub_sub #dapr_service_invocation #dapr_sidecar #dapr_workflow #docker #kafka #kubernetes #langmem #mcp #openai #openai_agents_sdk #openai_api #postgresql_database #rabbitmq #rancher_desktop #redis #serverless_containers

The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4].

https://github.com/panaversity/learn-agentic-ai

#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