#ArgoCD Kubernetes deployment

[virtualizationhowto]

Top 10 DevOps Containers in 2023

Top 10 DevOps Containers in your Stack #homelab #selfhosted #DevOpsContainerTools #JenkinsContinuousIntegration #GitLabCodeRepository #SecureHarborContainerRegistry #HashicorpVaultSecretsManagement #ArgoCD #SonarQubeCodeQuality #Prometheus #nginxproxy

If you want to learn more about DevOps and building an effective DevOps stack, several containerized solutions are commonly found in production DevOps stacks. I have been working on a deployment in my home lab of DevOps containers that allows me to use infrastructure as code for really cool projects. Let’s consider the top 10 DevOps containers that serve as individual container building blocks…

[muellermh]

Wie können Sie Kubernetes-Cluster mit ArgoCD automatisieren?: "Automatisieren Sie Ihr Kubernetes-Cluster mit ArgoCD & MHM Digitale Lösungen UG!"

Automatisierung, Anwendungsentwicklung und Infrastructure-as-Code sind die Schlüssel zu erfolgreichen DevOps-Projekten. Nutze die Möglichkeiten von Continuous Deployment und Continuous Integration, um dein #Kubernetes-Cluster mit #ArgoCD zu automatisieren. Erfahre mehr bei #MHMDigitalSolutionsUG! #DevOps #Anwendungsentwicklung #InfrastructureAsCode

Mithilfe von ArgoCD und MHM Digitale Lösungen UG können Sie Ihr Kubernetes-Cluster einfach und schnell automatisieren. ArgoCD ist ein Open Source Continuous Delivery-Tool, das Änderungen an Kubernetes-Anwendungen automatisiert und in Echtzeit nachverfolgt. Es ermöglicht es Entwicklern, sicherzustellen, dass ihre Änderungen auf der Grundlage von Präferenzen und Richtlinien ausgeliefert werden. MHM…

[govindhtech]

What is Argo CD? And When Was Argo CD Established?

What Is Argo CD?

Argo CD is declarative Kubernetes GitOps continuous delivery.

In DevOps, ArgoCD is a Continuous Delivery (CD) technology that has become well-liked for delivering applications to Kubernetes. It is based on the GitOps deployment methodology.

When was Argo CD Established?

Argo CD was created at Intuit and made publicly available following Applatix’s 2018 acquisition by Intuit. The founding developers of Applatix, Hong Wang, Jesse Suen, and Alexander Matyushentsev, made the Argo project open-source in 2017.

Why Argo CD?

Declarative and version-controlled application definitions, configurations, and environments are ideal. Automated, auditable, and easily comprehensible application deployment and lifecycle management are essential.

Getting Started

Quick Start

kubectl create namespace argocd kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml

For some features, more user-friendly documentation is offered. Refer to the upgrade guide if you want to upgrade your Argo CD. Those interested in creating third-party connectors can access developer-oriented resources.

How it works

Argo CD defines the intended application state by employing Git repositories as the source of truth, in accordance with the GitOps pattern. There are various approaches to specify Kubernetes manifests:

Applications for Customization

Helm charts

JSONNET files

Simple YAML/JSON manifest directory

Any custom configuration management tool that is set up as a plugin

The deployment of the intended application states in the designated target settings is automated by Argo CD. Deployments of applications can monitor changes to branches, tags, or pinned to a particular manifest version at a Git commit.

Architecture

The implementation of Argo CD is a Kubernetes controller that continually observes active apps and contrasts their present, live state with the target state (as defined in the Git repository). Out Of Sync is the term used to describe a deployed application whose live state differs from the target state. In addition to reporting and visualizing the differences, Argo CD offers the ability to manually or automatically sync the current state back to the intended goal state. The designated target environments can automatically apply and reflect any changes made to the intended target state in the Git repository.

Components

API Server

The Web UI, CLI, and CI/CD systems use the API, which is exposed by the gRPC/REST server. Its duties include the following:

Status reporting and application management

Launching application functions (such as rollback, sync, and user-defined actions)

Cluster credential management and repository (k8s secrets)

RBAC enforcement

Authentication, and auth delegation to outside identity providers

Git webhook event listener/forwarder

Repository Server

An internal service called the repository server keeps a local cache of the Git repository containing the application manifests. When given the following inputs, it is in charge of creating and returning the Kubernetes manifests:

URL of the repository

Revision (tag, branch, commit)

Path of the application

Template-specific configurations: helm values.yaml, parameters

A Kubernetes controller known as the application controller keeps an eye on all active apps and contrasts their actual, live state with the intended target state as defined in the repository. When it identifies an Out Of Sync application state, it may take remedial action. It is in charge of calling any user-specified hooks for lifecycle events (Sync, PostSync, and PreSync).

Features

Applications are automatically deployed to designated target environments.

Multiple configuration management/templating tools (Kustomize, Helm, Jsonnet, and plain-YAML) are supported.

Capacity to oversee and implement across several clusters

Integration of SSO (OIDC, OAuth2, LDAP, SAML 2.0, Microsoft, LinkedIn, GitHub, GitLab)

RBAC and multi-tenancy authorization policies

Rollback/Roll-anywhere to any Git repository-committed application configuration

Analysis of the application resources’ health state

Automated visualization and detection of configuration drift

Applications can be synced manually or automatically to their desired state.

Web user interface that shows program activity in real time

CLI for CI integration and automation

Integration of webhooks (GitHub, BitBucket, GitLab)

Tokens of access for automation

Hooks for PreSync, Sync, and PostSync to facilitate intricate application rollouts (such as canary and blue/green upgrades)

Application event and API call audit trails

Prometheus measurements

To override helm parameters in Git, use parameter overrides.

Read more on Govindhtech.com

[coredgeblogs]

Containerization with Docker and Kubernetes: The Dynamic Duo of Modern Tech

Let’s dive into the world of containerization. Containerization is a software deployment process that packages together software code with all its essential components, like the files, frameworks, libraries, and other dependencies it needs to run on any infrastructure. Here apps don’t just sit pretty—they’re lightweight, portable, and ready to roll out anywhere,

Containers, which are an integral constituent of the DevOps architecture are lightweight, portable, and highly beneficial to automation. For various use cases, containerization has become a foundation of development pipelines and application infrastructure. Developers often figure out containerization as a companion or substitute to virtualization. Because of its measurable benefits, as containerization develops and gains traction, it gives DevOps a lot to talk about. Implementing it securely and understanding what containerization is, can help your organization upgrade and scale its technology stacks.

 Let’s meet the icons of our show: Docker and Kubernetes.

 Whether you’re just a newbie or a veteran pro, this guide, sprinkled with real-world applications, will take you on a tour with a fun and informative walkthrough. Oh, and obviously, we’ll speak about ArgoCD too!

Introduction to Docker: Containers Made Simple:

 Think it like going on a trip requires a lot of stuff to be kept in luggage, so instead of tossing your pieces of stuff into luggage, you pack everything into a small, perfectly organized box. That’s Docker! This platform wraps up your application, libraries, and dependencies—mostly everything—into a neat little “container.” The consistency in these containers makes them run from anywhere, whether it’s your laptop or a massive cloud server.

Docker and Kubernetes are considered two of the best-admired technologies for containerized development. Docker is used to bundle applications into containers, while these containers in production are orchestrated and managed by Kubernetes.

Kubernetes has shifted the paradigm of the development and deployment of containerized applications, providing a robust orchestration platform that automates tasks such as load balancing, scaling, and self-healing. The realization of the full potential of Kubernetes orchestration can only be ascertained when your applications are well-prepared, effective, and securely developed from the beginning. That’s where Docker’s development tools come into the picture and play a vital role.

 Docker: A cool thing, why?

It’s because of the ease of portability and efficiency!

      Developers and sysadmins can finally be best buddies because the "It works on my  machine!" argument is now a thing of the past.

Pro Tip: Docker Hub is like an app store for containers—download prebuilt ones or share your own.

Basics of Kubernetes: The Master Orchestrator:

 Imagine it like, in a restaurant, if Docker is designated as a chef, Kubernetes acts as the restaurant manager, ensuring every dish reaches the table, fresh, hot, and on time. Kubernetes, abbreviated as K8s, is an open-source container orchestration system that automates deploying, scaling, and managing containerized applications.

Basics of Kubernetes:

Pods- Pods, consisting of one or more containers is the basic execution unit in Kubernetes.

Nodes: Physical or virtual machines that run pods are nodes.

Clusters: A unit of nodes that work together to run pods.

Deployments: A way to manage the rollout of new versions of an application.

Services: An abstraction that provides a network identity and load balancing for accessing applications.

 Key Features:

Load balancing: Handles traffic efficiently so that under pressure your app doesn’t crash.

Self-healing: Kubernetes restarts it immediately if something crashes. No drama, no downtime.

Scaling: Handles the spike in seasonal traffic like a pro.

How Docker and Kubernetes Work Together:

Docker and Kubernetes are like best buddies and work in proper coherence. The magic happens here! The containers are created by Docker and managed by Kubernetes. It’s like a dream team: Docker builds, Kubernetes scales.Suppose you have a fancy app related to microservices; the individual services like the login page or payment processor are handled by Docker, while Kubernetes ensures they all work together in tandem. Required updates? No Worry? Kubernetes has your back to handle all the concerns.

 ArgoCD makes an entry into the chat!

 For DevOps devotees, ArgoCD is a GitOps tool that pairs amazingly with Kubernetes. ArgoCD, specifically designed for Kubernetes environments, is a declarative GitOps continuous delivery tool. It operates as a Kubernetes controller and automates the deployment, rollouts, and rollbacks of applications across multiple environments such as production, staging, and development.

 Consistency across environments is ensured by Argo CD by applying and tracking changes to the infrastructure as code (IaC) configurations.

Benefits and Use Cases

Why are Docker and Kubernetes making a noise out there? Here’s why:

Benefits

Portability:  In any environment, containers run consistently.

Scalability: During traffic surges, Kubernetes scales your app seamlessly.

Automation: ArgoCD simplifies deployments and updates.

Cost-Efficiency: The resource is optimized only based upon your need.

Use Cases

E-commerce platforms: Flash sales are handled effectively without crashing.

Streaming services: Millions of user's streaming is managed seamlessly without any glitches.

AI/ML Workloads: For running massive AI models, pairing with Docker containers and Kubernetes’ scaling is picture-perfect.

 Wrapping it UP:

It isn’t about the competition to discuss Kubernetes vs Docker, it’s about collaboration. Docker manages the containers; Kubernetes make sure they play like rockstars on stage. Tools like ArgoCD spiced up this a little more, and things are set for a future-proof setup for modern applications.

So, are you ready to give it a shot? Let the magic of containerization transform your workflows by grabbing a Docker image and spinning up a Kubernetes cluster. And let’s not forget to bring ArgoCD into the fusion for some GitOps brilliance.

Happy containerizing!

[hawkstack]

GitOps: A Streamlined Approach to Kubernetes Automation

In today’s fast-paced DevOps world, automation is the key to achieving efficiency, scalability, and reliability in software deployments. Kubernetes has become the de facto standard for container orchestration, but managing its deployments effectively can be challenging. This is where GitOps comes into play, providing a streamlined approach for automating the deployment and maintenance of Kubernetes clusters by leveraging Git repositories as a single source of truth.

What is GitOps?

GitOps is a declarative way of managing infrastructure and application deployments using Git as the central control mechanism. Instead of manually applying configurations to Kubernetes clusters, GitOps ensures that all desired states of the system are defined in a Git repository and automatically synchronized to the cluster.

With GitOps, every change to the infrastructure and applications goes through version-controlled pull requests, enabling transparency, auditing, and easy rollbacks if necessary.

How GitOps Works with Kubernetes

GitOps enables a Continuous Deployment (CD) approach to Kubernetes by maintaining configuration and application states in a Git repository. Here’s how it works:

Define Desired State – Kubernetes manifests (YAML files), Helm charts, or Kustomize configurations are stored in a Git repository.

Automatic Synchronization – A GitOps operator (such as ArgoCD or Flux) continuously monitors the repository for changes.

Deployment Automation – When a change is detected, the operator applies the new configurations to the Kubernetes cluster automatically.

Continuous Monitoring & Drift Detection – GitOps ensures the actual state of the cluster matches the desired state. If discrepancies arise, it can either notify or automatically correct them.

Benefits of GitOps for Kubernetes

✅ Improved Security & Compliance – Since all changes are tracked in Git, auditing is straightforward, ensuring security and compliance.

✅ Faster Deployments & Rollbacks – Automation speeds up deployments while Git history allows for easy rollbacks if issues arise.

✅ Enhanced Collaboration – Teams work with familiar Git workflows (pull requests, approvals) instead of manually modifying clusters.

✅ Reduced Configuration Drift – Ensures the cluster is always in sync with the repository, minimizing configuration discrepancies.

Popular GitOps Tools for Kubernetes

Several tools help implement GitOps in Kubernetes environments:

ArgoCD – A declarative GitOps CD tool for Kubernetes.

Flux – A GitOps operator that automates deployment using Git repositories.

Kustomize – A Kubernetes native configuration management tool.

Helm – A package manager for Kubernetes that simplifies application deployment.

Conclusion

GitOps simplifies Kubernetes management by integrating version control, automation, and continuous deployment. By leveraging Git as the single source of truth, organizations can achieve better reliability, faster deployments, and improved operational efficiency. As Kubernetes adoption grows, embracing GitOps becomes an essential strategy for modern DevOps workflows.

Are you ready to streamline your Kubernetes automation with GitOps? Start implementing today with tools like ArgoCD, Flux, and Helm, and take your DevOps strategy to the next level! 🚀

For more details www.hawkstack.com

#GitOps #Kubernetes #DevOps #ArgoCD #FluxCD #ContinuousDeployment #CloudNative

[qcs01]

Mastering GitOps with Kubernetes: The Future of Cloud-Native Application Management

In the world of modern cloud-native application management, GitOps has emerged as a game-changer. By combining the power of Git as a single source of truth with Kubernetes for infrastructure orchestration, GitOps enables seamless deployment, monitoring, and management of applications. Let’s dive into what GitOps is, how it integrates with Kubernetes, and why it’s a must-have for DevOps teams.

What is GitOps?

GitOps is a DevOps practice that uses Git repositories as the single source of truth for declarative infrastructure and application configurations. The GitOps workflow automates deployment processes, ensuring:

Consistency: Changes are tracked and version-controlled.

Simplicity: The Git repository acts as the central command center.

Reliability: Rollbacks are effortless, thanks to Git’s history.

Why GitOps and Kubernetes are a Perfect Match

Kubernetes is designed for container orchestration and declarative infrastructure, making it an ideal companion for GitOps. Here’s why the two fit perfectly together:

Declarative Configuration Kubernetes inherently uses declarative YAML manifests, which align perfectly with GitOps principles. All changes can be stored and managed in Git.

Automated Deployments Tools like ArgoCD and Flux monitor Git repositories for updates and automatically apply changes to Kubernetes clusters. This reduces manual interventions and human error.

Continuous Delivery Kubernetes ensures your desired state (declared in Git) is always maintained in production. GitOps handles the CI/CD pipeline, making deployments more predictable.

Auditability With Git, every infrastructure or application change is version-controlled. This enhances traceability and simplifies compliance.

Benefits of GitOps with Kubernetes

Enhanced Developer Productivity Developers can focus on writing code and committing changes without worrying about the complexities of infrastructure management.

Improved Security Using Git as the central source of truth means no direct access to the Kubernetes cluster is needed, reducing security risks.

Faster Recovery Rolling back to a previous state is as simple as reverting a Git commit and letting the GitOps tools sync the changes.

Scalability GitOps is ideal for managing large-scale Kubernetes clusters, ensuring consistency across multiple environments.

Getting Started with GitOps on Kubernetes

To implement GitOps with Kubernetes, follow these steps:

Set Up a Git Repository Create a repository for your Kubernetes manifests and configurations. Structure it logically to separate environments (e.g., dev, staging, production).

Choose a GitOps Tool Popular tools include:

ArgoCD: A Kubernetes-native continuous delivery tool.

Flux: A powerful tool for GitOps workflows.

Define Infrastructure as Code (IaC) Write your Kubernetes configurations (deployments, services, etc.) as YAML files and store them in Git.

Enable Continuous Reconciliation Configure your GitOps tool to watch the Git repository and sync changes automatically to the Kubernetes cluster.

Monitor and Iterate Use Kubernetes monitoring tools (e.g., Prometheus, Grafana) to observe the cluster's state and refine configurations as needed.

Real-World Use Cases

Application Deployment Automate the deployment of new application versions across multiple environments.

Cluster Management Manage infrastructure upgrades and scaling operations through Git.

Disaster Recovery Restore clusters to a known-good state by reverting to a previous Git commit.

Challenges to Overcome

While GitOps offers many advantages, there are a few challenges to consider:

Learning Curve: Teams need to understand GitOps workflows and tools.

Complexity at Scale: Managing large, multi-cluster environments requires careful repository organization.

Tooling Dependencies: GitOps tools must be properly configured and maintained.

The Future of GitOps and Kubernetes

As enterprises increasingly adopt cloud-native architectures, GitOps will become a cornerstone of efficient, reliable, and secure application management. By integrating GitOps with Kubernetes, organizations can achieve faster delivery cycles, improved operational stability, and better scalability.

Conclusion GitOps with Kubernetes is more than just a trend—it’s a paradigm shift in how infrastructure and applications are managed. Whether you're a startup or an enterprise, adopting GitOps practices will empower your DevOps teams to build and manage cloud-native applications with confidence.

Looking to implement GitOps in your organization? HawkStack offers tailored solutions to help you streamline your DevOps processes with Kubernetes and GitOps. Contact us today to learn more!

[jvalentino2]

The following is an example project that uses ArgoCD to management Kubernetes deployments.

[jamercado]

GitOps: Argo cd and application deployment demo – part II

Hello People ! In the previous article we have deployed a gitops tool, so there is nothing, if we can do to do anything interesting.

[foxutech]

Upscale your Continuous Deployment at Enterprise-grade with ArgoCD

#argocD #ContinuousDeployment #cd #cicd #argo #kubernetes #k8s #azure #aks #eks #git #gitops #scalability #enterprise #opensource

So far, we have discussed about ArgoCD and how to use it. When it comes to production level or enterprise level of any application, there are lot factors to considers. What are those? Before we understand that, it is always important to understand what the tool is capable. Let’s recall, Hope you aware Argo CD can support thousands of applications? you can connect hundreds of Kubernetes clusters?…

[virtualizationhowto]

5 GitOps Tools that you need to know!

5 GitOps Tools that you need to know! @vexpert @portainerio #vmwarecommunities #kubernetes #docker #dockercontainers #gitops #devops #argocd #fluxcd #portainer #homeserver #homelab

I have been getting hugely into GitOps in the home lab lately and carrying those skillings into production environments. GitOps is a methodology that focuses on deployments being sourced from a git repo. Using GitOps you can encapsulate everything in your git repo and then make sure your apps are applied to your environment in a declarative way. Let’s look at 5 tools that you need to know for…

[muellermh]

Wie können Sie Ihre Anwendung mit Kubernetes und ArgoCD automatisieren?: "Erfahren Sie, wie MHM Digitale Lösungen UG Ihnen beim Automatisieren Ihrer Anwendung mit Kubernetes und ArgoCD helfen kann"

#Kubernetes #ArgoCD #CloudContainer #Orchestrierung #DevOps #Deployment #MHMDigitaleLösungenUG

Kubernetes und ArgoCD sind zwei bekannte Technologien, die Sie einsetzen können, um Ihre Anwendungen zu automatisieren. Obwohl die Nutzung dieser Tools manchmal schwierig sein kann, bietet MHM Digitale Lösungen UG eine umfassende Servicepalette für Unternehmen, die ihre Anwendungen mit Kubernetes und ArgoCD automatisieren möchten. MHM Digitale Lösungen UG bietet Unternehmen eine Reihe von…

[govindhtech]

Fleet-Argocd-Plugin Streamlines Multi-Cluster Kubernetes

Introducing Google’s Fleet-Argocd-Plugin, Simplifying Multi-Cluster Management for GKE Fleets

Give your teams self-service to empower them. Kubernetes with Argo CD and GKE fleets

It can be challenging to manage apps across several Kubernetes clusters, particularly when those clusters are spread across various environments or even cloud providers. Google Kubernetes Engine (GKE) fleets and Argo CD, a declarative, GitOps continuous delivery platform for Kubernetes, are combined in one potent and secure solution. Workload Identity and Connect Gateway further improve the solution.

This blog post explains how to use these offerings to build a strong, team-focused multi-cluster architecture. Google uses a prototype GKE fleet that has a control cluster to host Argo CD and application clusters for your workloads. It uses Connect Gateway and Workload Identity to improve security and expedite authentication, allowing Argo CD to safely administer clusters without having to deal with clumsy Kubernetes Services Accounts.

Additionally, it uses GKE Enterprise Teams to control resources and access, assisting in making sure that every team has the appropriate namespaces and permissions inside this safe environment.

Lastly, Google presents the fleet-argocd-plugin, a specially created Argo CD generator intended to make cluster management in this complex configuration easier. This plugin makes it simpler for platform administrators to manage resources and for application teams to concentrate on deployments by automatically importing your GKE Fleet cluster list into Argo CD and maintaining synchronized cluster information.

Follow along as Google Cloud:

Build a GKE fleet that includes control and application clusters.

Install Argo CD on the control cluster with Workload Identity and Connect Gateway set up.

Set up GKE Enterprise Teams to have more precise access control.

Install the fleet-argocd-plugin and use it to manage your multi-cluster, secure fleet with team awareness.

Using GKE Fleets, Argo CD, Connect Gateway, Workload Identity, and Teams, you will develop a strong and automated multi-cluster system by the end that is prepared to meet the various demands and security specifications of your company. Let’s get started!

Create a multi-cluster infrastructure using Argo CD and the GKE fleet

The procedure for configuring a prototype GKE fleet is simple:

In the selected Google Cloud Project, enable the necessary APIs. This project serves as the host project for the fleet.

Installing the gcloud SDK and logging in with gcloud auth are prerequisites.

Assign application clusters to your fleet host project and register them.

Assemble groups within your fleet. Assume you have a webserver namespace and a single frontend team.

a. You may manage which team has access to particular namespaces on particular clusters by using fleet teams and fleet namespace.

Argo CD should now be configured and deployed to the control cluster. As your application, create a new GKE cluster and set up Workload Identity.

To communicate with the Argo CD API server, install the Argo CD CLI. It must be version 2.8.0 or later. The CLI installation guide contains comprehensive installation instructions.

Install Argo CD on the cluster under control.

Argo CD generator customization

You have now installed Argo CD on the control cluster and your GKE fleet is operational. By saving their credentials (such as the address of the API server and login information) as Kubernetes Secrets inside the Argo CD namespace, application clusters are registered with the control cluster in Argo CD. It has a method to greatly simplify this process!

A customized Argo CD plugin generator called fleet-argocd-plugin simplifies cluster administration by:

Automatically configuring the cluster secret objects for every application cluster and loading your GKE fleet cluster list into Argo CD

Monitoring the state of your fleet on Google Cloud and ensuring that your Argo CD cluster list is consistently current and in sync

Let’s now see how to set up and construct the Argo CD generator.

Set up your control cluster with the fleet-argocd-plugin.

a. In this demonstration, the fleet-argocd-plugin is built and deployed using Cloud Build.

Provide the fleet-argocd-plugin with the appropriate fleet management permissions to ensure it functions as intended.

a. In your Argo CD control cluster, create an IAM service account and provide it the necessary rights. The configuration adheres to the GKE Workload Identity Federation’s official onboarding manual. b. You must also grant access to your artifacts repository’s pictures for the Google Compute Engine service account.

Launch the Argo CD control cluster’s fleet plugin!

Demo time

To ensure that the GKE fleet and Argo CD are working well together, let’s take a brief look. You ought to see that your application clusters’ secrets have been produced automatically.

Demo 1: Argo CD’s automated fleet management

Alright, let’s check this out! The guestbook sample app will be used. Google starts by deploying it to the frontend team’s clusters. After that, you should be able to see the guestbook app operating on your application clusters without having to manually handle any cluster secrets!

export TEAM_ID=frontend envsubst ‘$FLEET_PROJECT_NUMBER $TEAM_ID’ < applicationset-demo.yaml | kubectl apply -f – -n argocd

kubectl config set-context –current –namespace=argocd argocd app list -o name

Example Output:

argocd/app-cluster-1.us-central1.141594892609-webserver

argocd/app-cluster-2.us-central1.141594892609-webserver

Demo 2: Fleet-argocd-plugin makes fleet evolution simple

Let’s say you choose to expand the frontend staff by adding another cluster. The frontend team should be given a fresh GKE cluster. Next, see whether the new cluster has deployed your guestbook app.

gcloud container clusters create app-cluster-3 –enable-fleet –region=us-central1 gcloud container fleet memberships bindings create app-cluster-3-b \ –membership app-cluster-3 \ –scope frontend \ –location us-central1

argocd app list -o name

Example Output: a new app shows up!

argocd/app-cluster-1.us-central1.141594892609-webserver

argocd/app-cluster-2.us-central1.141594892609-webserver

argocd/app-cluster-3.us-central1.141594892609-webserver

Final reflections

We’ve demonstrated in this blog post how to build a reliable and automated multi-cluster platform by combining the capabilities of GKE fleets, Argo CD, Connect Gateway, Workload Identity, and GKE Enterprise Teams. You can improve security, expedite Kubernetes operations, and enable your teams to effectively manage and deploy apps throughout your fleet by utilizing these technologies.

Remember that GKE fleets and Argo CD offer a strong basis for creating a scalable, safe, and effective platform as you proceed with multi-cluster Kubernetes.

Read more on Govindhtech.com

[releaseteam]

via Twitter https://twitter.com/releaseteam

[hawkstack]

20 project ideas for Red Hat OpenShift

1. OpenShift CI/CD Pipeline

Set up a Jenkins or Tekton pipeline on OpenShift to automate the build, test, and deployment process.

2. Multi-Cluster Management with ACM

Use Red Hat Advanced Cluster Management (ACM) to manage multiple OpenShift clusters across cloud and on-premise environments.

3. Microservices Deployment on OpenShift

Deploy a microservices-based application (e.g., e-commerce or banking) using OpenShift, Istio, and distributed tracing.

4. GitOps with ArgoCD

Implement a GitOps workflow for OpenShift applications using ArgoCD, ensuring declarative infrastructure management.

5. Serverless Application on OpenShift

Develop a serverless function using OpenShift Serverless (Knative) for event-driven architecture.

6. OpenShift Service Mesh (Istio) Implementation

Deploy Istio-based service mesh to manage inter-service communication, security, and observability.

7. Kubernetes Operators Development

Build and deploy a custom Kubernetes Operator using the Operator SDK for automating complex application deployments.

8. Database Deployment with OpenShift Pipelines

Automate the deployment of databases (PostgreSQL, MySQL, MongoDB) with OpenShift Pipelines and Helm charts.

9. Security Hardening in OpenShift

Implement OpenShift compliance and security best practices, including Pod Security Policies, RBAC, and Image Scanning.

10. OpenShift Logging and Monitoring Stack

Set up EFK (Elasticsearch, Fluentd, Kibana) or Loki for centralized logging and use Prometheus-Grafana for monitoring.

11. AI/ML Model Deployment on OpenShift

Deploy an AI/ML model using OpenShift AI (formerly Open Data Hub) for real-time inference with TensorFlow or PyTorch.

12. Cloud-Native CI/CD for Java Applications

Deploy a Spring Boot or Quarkus application on OpenShift with automated CI/CD using Tekton or Jenkins.

13. Disaster Recovery and Backup with Velero

Implement backup and restore strategies using Velero for OpenShift applications running on different cloud providers.

14. Multi-Tenancy on OpenShift

Configure OpenShift multi-tenancy with RBAC, namespaces, and resource quotas for multiple teams.

15. OpenShift Hybrid Cloud Deployment

Deploy an application across on-prem OpenShift and cloud-based OpenShift (AWS, Azure, GCP) using OpenShift Virtualization.

16. OpenShift and ServiceNow Integration

Automate IT operations by integrating OpenShift with ServiceNow for incident management and self-service automation.

17. Edge Computing with OpenShift

Deploy OpenShift at the edge to run lightweight workloads on remote locations, using Single Node OpenShift (SNO).

18. IoT Application on OpenShift

Build an IoT platform using Kafka on OpenShift for real-time data ingestion and processing.

19. API Management with 3scale on OpenShift

Deploy Red Hat 3scale API Management to control, secure, and analyze APIs on OpenShift.

20. Automating OpenShift Cluster Deployment

Use Ansible and Terraform to automate the deployment of OpenShift clusters and configure infrastructure as code (IaC).

For more details www.hawkstack.com 

#OpenShift #Kubernetes #DevOps #CloudNative #RedHat #GitOps #Microservices #CICD #Containers #HybridCloud #Automation  

[qcs01]

GitOps – Streamlining Kubernetes with Automated Workflows

In the world of cloud-native applications, managing Kubernetes clusters efficiently has become more critical than ever. As businesses scale, the need for automation and streamlined processes in deploying and maintaining these clusters becomes paramount. Enter GitOps – an innovative approach that leverages Git repositories to automate and manage Kubernetes clusters seamlessly.

What is GitOps?

GitOps is an operational framework that applies DevOps best practices—such as version control, collaboration, and continuous integration/continuous deployment (CI/CD)—to infrastructure automation. At its core, GitOps uses Git as the single source of truth for your entire system.

How GitOps Simplifies Kubernetes Management

In traditional setups, managing Kubernetes clusters involves manual processes and human intervention, often leading to configuration drift, errors, and inefficiencies. With GitOps, all configuration files (such as YAML) are stored in a Git repository. Whenever a change is needed, it is made in the repository and automatically applied to the Kubernetes cluster.

GitOps focuses on automation through continuous reconciliation. This means that the desired state of your system, defined in Git, is continuously compared to the actual state in Kubernetes. If there’s any discrepancy, GitOps tools like Flux or ArgoCD detect and automatically correct it, ensuring consistency and minimizing manual errors.

Key Benefits of Using GitOps with Kubernetes

Version Control and Auditability: Every change to your cluster configuration is stored in Git, providing a clear audit trail. You can easily track who made changes and when they were applied.

Automated Deployments: By automating the deployment process, GitOps significantly reduces the time it takes to roll out changes. This speeds up release cycles and boosts developer productivity.

Improved Security: GitOps ensures that only approved changes (those committed in the Git repository) are deployed to your clusters. This minimizes the risk of unauthorized or accidental modifications.

Easier Rollbacks: Since every configuration is versioned, you can quickly roll back to a previous state in case something goes wrong, providing added stability and control.

Scalability: GitOps allows teams to manage large-scale Kubernetes clusters with ease, even in multi-cloud or hybrid cloud environments. The framework simplifies the management of complex environments by making the cluster's desired state declarative and version-controlled.

How HawkStack Supports GitOps and Kubernetes Automation

At HawkStack, we specialize in providing advanced DevOps tools and support for businesses looking to streamline their Kubernetes operations. Our team leverages GitOps principles to offer Kubernetes automation, ensuring a highly efficient, scalable, and secure infrastructure.

Whether you're starting your cloud-native journey or looking to enhance your existing Kubernetes setup, HawkStack’s tailored services can help you implement GitOps strategies to optimize performance and reduce operational complexity.

Conclusion

GitOps is revolutionizing the way Kubernetes clusters are deployed and managed. By using Git as a source of truth and automating key processes, businesses can enjoy faster deployments, enhanced security, and scalable management. With HawkStack's expertise in DevOps and Kubernetes automation, you're set to embrace this modern approach and drive business growth efficiently.

Visit HawkStack today to learn more about our services and how we can help you implement GitOps for your Kubernetes clusters.

[wecodeinc]

Overview of GitOps

What is GitOps? Guide to GitOps — Continuous Delivery for Cloud Native applications

GitOps is a way to do Kubernetes cluster management and application delivery. It works by using Git as a single source of truth for declarative infrastructure and applications, together with tools ensuring the actual state of infrastructure and applications converges towards the desired state declared in Git. With Git at the center of your delivery pipelines, developers can make pull requests to accelerate and simplify application deployments and operations tasks to your infrastructure or container-orchestration system (e.g. Kubernetes).

The core idea of GitOps is having a Git repository that always contains declarative descriptions of the infrastructure currently desired in the production environment and an automated process to make the production environment match the described state in the repository. If you want to deploy a new application or update an existing one, you only need to update the repository — the automated process handles everything else. It’s like having cruise control for managing your applications in production.

Modern software development practices assume support for reviewing changes, tracking history, comparing versions, and rolling back bad updates; GitOps applies the same tooling and engineering perspective to managing the systems that deliver direct business value to users and customers.

Pull-based Deployments

more info @ https://gitops.tech

The Pull-based deployment strategy uses the same concepts as the push-based variant but differs in how the deployment pipeline works. Traditional CI/CD pipelines are triggered by an external event, for example when new code is pushed to an application repository. With the pull-based deployment approach, the operator is introduced. It takes over the role of the pipeline by continuously comparing the desired state in the environment repository with the actual state in the deployed infrastructure. Whenever differences are noticed, the operator updates the infrastructure to match the environment repository. Additionally the image registry can be monitored to find new versions of images to deploy.

Just like the push-based deployment, this variant updates the environment whenever the environment repository changes. However, with the operator, changes can also be noticed in the other direction. Whenever the deployed infrastructure changes in any way not described in the environment repository, these changes are reverted. This ensures that all changes are made traceable in the Git log, by making all direct changes to the cluster impossible.

In Kubernetes eco-system we have overwhelming numbers of tools to achieve GitOps. let me share some of the tools as below,

Tools

ArgoCD: A GitOps operator for Kubernetes with a web interface

Flux: The GitOps Kubernetes operator by the creators of GitOps — Weaveworks

Gitkube: A tool for building and deploying docker images on Kubernetes using git push

JenkinsX: Continuous Delivery on Kubernetes with built-in GitOps

Terragrunt: A wrapper for Terraform for keeping configurations DRY, and managing remote state

WKSctl: A tool for Kubernetes cluster configuration management based on GitOps principles

Helm Operator: An operator for using GitOps on K8s with Helm

Also check out Weavework’s Awesome-GitOps.

Benefits of GitOps

Faster development

Better Ops

Stronger security guarantees

Easier compliance and auditing

Demo time — We will be using Flux

Prerequisites: You must have running Kubernetes cluster.

Install “Fluxctl”. I have used Ubuntu 18.04 for demo.

sudo snap install fluxctl

2. Create new namespace called “flux”

kubectl create ns flux

3. Setup flux with your environmental repo. We are using repo “flux-get-started”.

export GHUSER="YOURUSER" fluxctl install \ --git-user=${GHUSER} \ --git-email=${GHUSER}@users.noreply.github.com \ --git-url=git@github.com:${GHUSER}/flux-get-started \ --git-path=namespaces,workloads \ --namespace=flux | kubectl apply -f -

4. Set Deploy key in Github. You will need your public key.

fluxctl identity --k8s-fwd-ns flux

5. At this point you must have following pods, Services running on your cluster. (In “flux” and “demo” namespace)

namespace: flux

namespace: demo

6. Let’s test what we have deployed.

kubectl -n demo port-forward deployment/podinfo 9898:9898 & curl localhost:9898

7. Now, lets make small change in repo and commit it to master branch.

By default, Flux git pull frequency is set to 5 minutes. You can tell Flux to sync the changes immediately with:

fluxctl sync --k8s-fwd-ns flux

Wow our changes from our repo has been successfully applied on cluster.

our changes from our repo has been successfully applied on cluster.

Let’s do one more test, assume that by mistake someone has reduced/deleted your pods on production cluster.

By default, Flux git pull frequency is set to 5 minutes. You can tell Flux to sync the changes immediately with:

fluxctl sync --k8s-fwd-ns flux

You have successfully restored your cluster in GitOps way. No Kubectl required!!

Whenever the deployed infrastructure changes in any way not described in the environment repository, these changes are reverted.

Thank You for reading.

Source: