#argocd

[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

[offbrandtech]

Basil - Multilingual magic. Build and test using Java, C++, Go, Android, iOS and many other languages and platforms.

[opsmxspinnaker]

In this blog post, we’ll explore the journey of transitioning from Flux to Argo CD and the reasons why you might consider making the switch.

[jvalentino2]

In interviewing for higher level architecture positions, you will be sometimes be asked to do design a new system to demonstrate your capabilities. The following is from such an interview around PHP, Laravel, Nuxt, MySQL, Redis, AWS, and K8s.

[akhil-1]

Azure DevOps Training Online New Batch

Join Now Team ID: 479 864 819 691

Password: pxxffv

Attend New Online Batch On Azure DevSecOps by Mr. Sudheer.

Batch on: 12th October @ 7:00 AM (IST).

Contact us: 099899 71070

Visit:https://www.visualpath.in/Microsoft-Azure-DevOps-online-Training.html

[foxutech]

How to Monitor ArgoCD using Prometheus

Any given environment, it is important to monitoring. It helps to track the application/tool performance and also it helps to optimize the application. Similar, in a complex environment where we have numerous teams deploying both monoliths and microservices to Kubernetes, it’s almost a given that operations won’t always run perfectly. Argo CD provides us with a plenty of metrics that enable us to…

[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…

[kennak]

これは、オープンソース化するときに家を手放すべきではない理由をよくまとめたものです。 問題はまさにこれでした。Earthly がオープンソースであるため、Earthy Satellite ユーザーはすでに Earthly CI の 95% からメリットを享受していました 。 私はオープンソースの大ファンですが、ビジネス モデルにオープンソース モデルが含まれている場合は、差別化要因が必要です。 驚異的な速さ(tm)を超えて。 人々がクレジット カードを差し出す理由、あるいはもっと言えば、会計上の発注プロセスを差し出す理由が必要です。 魅力的なものにするために、オープンソース製品から提供しない機能やサービスが必要です。 GitLab は、CI/CD を有料の顧客に制限しています。 オープンソースでない限り、Travis/CircleCI によるビルド時間/クレジットの制限。 Azure DevOps は悪魔です。 ArgoCD は複雑です。 ランナーを実行するハードウェアがある場合、GitHub アクションは便利です。 Jenkins の Swarm は、企業内でほとんどの人が慣れ親しんでいるものです。 元 DevOps ディレクターとして、私の当面の疑問は、自分でホストするのではなく、どの機能を購入したくなるかということです。 技術的には有能なんです。 ビジネスにとって最も合理的な方法で従業員のためにクラウドと DevOps パイプラインを実行できるのに、なぜ貴社を購入する必要があるのでしょうか? 最も意味のあることを理解するのを手伝ってください。 *編集* 私は、ソフトウェアの動作に不可欠な機能を保留することを提案しているのではなく、サポートやエンタープライズレベルの統合を提供するビジネス機能を保留することを提案しています。 パワーユーザーがより自分自身をサポートするため、支払いが少なくなるように階層化することさえあるのでしょうか？

私たちは最速の CI を構築しましたが、失敗しました。 ハッカーニュース

[pallavinovel]

Unlocking SRE Success: Roles and Responsibilities That Matter

In today’s digitally driven world, ensuring the reliability and performance of applications and systems is more critical than ever. This is where Site Reliability Engineering (SRE) plays a pivotal role. Originally developed by Google, SRE is a modern approach to IT operations that focuses strongly on automation, scalability, and reliability.

But what exactly do SREs do? Let’s explore the key roles and responsibilities of a Site Reliability Engineer and how they drive reliability, performance, and efficiency in modern IT environments.

🔹 What is a Site Reliability Engineer (SRE)?

A Site Reliability Engineer is a professional who applies software engineering principles to system administration and operations tasks. The main goal is to build scalable and highly reliable systems that function smoothly even during high demand or failure scenarios.

🔹 Core SRE Roles

SREs act as a bridge between development and operations teams. Their core responsibilities are usually grouped under these key roles:

1. Reliability Advocate

Ensures high availability and performance of services

Implements Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Service Level Agreements (SLAs)

Identifies and removes reliability bottlenecks

2. Automation Engineer

Automates repetitive manual tasks using tools and scripts

Builds CI/CD pipelines for smoother deployments

Reduces human error and increases deployment speed

3. Monitoring & Observability Expert

Sets up real-time monitoring tools like Prometheus, Grafana, and Datadog

Implements logging, tracing, and alerting systems

Proactively detects issues before they impact users

4. Incident Responder

Handles outages and critical incidents

Leads root cause analysis (RCA) and postmortems

Builds incident playbooks for faster recovery

5. Performance Optimizer

Analyzes system performance metrics

Conducts load and stress testing

Optimizes infrastructure for cost and performance

6. Security and Compliance Enforcer

Implements security best practices in infrastructure

Ensures compliance with industry standards (e.g., ISO, GDPR)

Coordinates with security teams for audits and risk management

7. Capacity Planner

Forecasts traffic and resource needs

Plans for scaling infrastructure ahead of demand

Uses tools for autoscaling and load balancing

🔹 Day-to-Day Responsibilities of an SRE

Here are some common tasks SREs handle daily:

Deploying code with zero downtime

Troubleshooting production issues

Writing automation scripts to streamline operations

Reviewing infrastructure changes

Managing Kubernetes clusters or cloud services (AWS, GCP, Azure)

Performing system upgrades and patches

Running game days or chaos engineering practices to test resilience

🔹 Tools & Technologies Commonly Used by SREs

Monitoring: Prometheus, Grafana, ELK Stack, Datadog

Automation: Terraform, Ansible, Chef, Puppet

CI/CD: Jenkins, GitLab CI, ArgoCD

Containers & Orchestration: Docker, Kubernetes

Cloud Platforms: AWS, Google Cloud, Microsoft Azure

Incident Management: PagerDuty, Opsgenie, VictorOps

🔹 Why SRE Matters for Modern Businesses

Reduces system downtime and increases user satisfaction

Improves deployment speed without compromising reliability

Enables proactive problem solving through observability

Bridges the gap between developers and operations

Drives cost-effective scaling and infrastructure optimization

🔹 Final Thoughts

Site Reliability Engineering roles and responsibilities are more than just monitoring systems—it’s about building a resilient, scalable, and efficient infrastructure that keeps digital services running smoothly. With a blend of coding, systems knowledge, and problem-solving skills, SREs play a crucial role in modern DevOps and cloud-native environments.

📥 Click Here: Site Reliability Engineering certification training program

[hawkstack]

Mastering OpenShift at Scale: Red Hat OpenShift Administration III (DO380)

In today’s cloud-native world, organizations are increasingly adopting Kubernetes and Red Hat OpenShift to power their modern applications. As these environments scale, so do the challenges of managing complex workloads, automating operations, and ensuring reliability. That’s where Red Hat OpenShift Administration III: Scaling Kubernetes Workloads (DO380) steps in.

What is DO380?

DO380 is an advanced-level training course offered by Red Hat that focuses on scaling, performance tuning, and managing containerized applications in production using Red Hat OpenShift Container Platform. It is designed for experienced OpenShift administrators and DevOps professionals who want to deepen their knowledge of Kubernetes-based platform operations.

Who Should Take DO380?

This course is ideal for:

✅ System Administrators managing large-scale containerized environments

✅ DevOps Engineers working with CI/CD pipelines and automation

✅ Platform Engineers responsible for OpenShift clusters

✅ RHCEs or OpenShift Certified Administrators (EX280 holders) aiming to level up

Key Skills You Will Learn

Here’s what you’ll master in DO380:

🔧 Advanced Cluster Management

Configure and manage OpenShift clusters for performance and scalability.

📈 Monitoring & Tuning

Use tools like Prometheus, Grafana, and the OpenShift Console to monitor system health, tune workloads, and troubleshoot performance issues.

📦 Autoscaling & Load Management

Configure Horizontal Pod Autoscaling (HPA), Cluster Autoscaler, and manage workloads efficiently with resource quotas and limits.

🔐 Security & Compliance

Implement security policies, use node taints/tolerations, and manage namespaces for better isolation and governance.

🧪 CI/CD Pipeline Integration

Automate application delivery using Tekton pipelines and manage GitOps workflows with ArgoCD.

Course Prerequisites

Before enrolling in DO380, you should be familiar with:

Red Hat OpenShift Administration I (DO180)

Red Hat OpenShift Administration II (DO280)

Kubernetes fundamentals (kubectl, deployments, pods, services)

Certification Path

DO380 also helps you prepare for the Red Hat Certified Specialist in OpenShift Scaling and Performance (EX380) exam, which counts towards the Red Hat Certified Architect (RHCA) credential.

Why DO380 Matters

With enterprise workloads becoming more dynamic and resource-intensive, scaling OpenShift effectively is not just a bonus — it’s a necessity. DO380 equips you with the skills to:

✅ Maximize infrastructure efficiency

✅ Ensure high availability

✅ Automate operations

✅ Improve DevOps productivity

Conclusion

Whether you're looking to enhance your career, improve your organization's cloud-native capabilities, or take the next step in your Red Hat certification journey — Red Hat OpenShift Administration III (DO380) is your gateway to mastering OpenShift at scale.

Ready to elevate your OpenShift expertise?

Explore DO380 training options with HawkStack Technologies and get hands-on with real-world OpenShift scaling scenarios.

For more details www.hawkstack.com

[coredgeblogs]

Kubernetes Cluster Management at Scale: Challenges and Solutions

As Kubernetes has become the cornerstone of modern cloud-native infrastructure, managing it at scale is a growing challenge for enterprises. While Kubernetes excels in orchestrating containers efficiently, managing multiple clusters across teams, environments, and regions presents a new level of operational complexity.

In this blog, we’ll explore the key challenges of Kubernetes cluster management at scale and offer actionable solutions, tools, and best practices to help engineering teams build scalable, secure, and maintainable Kubernetes environments.

Why Scaling Kubernetes Is Challenging

Kubernetes is designed for scalability—but only when implemented with foresight. As organizations expand from a single cluster to dozens or even hundreds, they encounter several operational hurdles.

Key Challenges:

1. Operational Overhead

Maintaining multiple clusters means managing upgrades, backups, security patches, and resource optimization—multiplied by every environment (dev, staging, prod). Without centralized tooling, this overhead can spiral quickly.

2. Configuration Drift

Cluster configurations often diverge over time, causing inconsistent behavior, deployment errors, or compliance risks. Manual updates make it difficult to maintain consistency.

3. Observability and Monitoring

Standard logging and monitoring solutions often fail to scale with the ephemeral and dynamic nature of containers. Observability becomes noisy and fragmented without standardization.

4. Resource Isolation and Multi-Tenancy

Balancing shared infrastructure with security and performance for different teams or business units is tricky. Kubernetes namespaces alone may not provide sufficient isolation.

5. Security and Policy Enforcement

Enforcing consistent RBAC policies, network segmentation, and compliance rules across multiple clusters can lead to blind spots and misconfigurations.

Best Practices and Scalable Solutions

To manage Kubernetes at scale effectively, enterprises need a layered, automation-driven strategy. Here are the key components:

1. GitOps for Declarative Infrastructure Management

GitOps leverages Git as the source of truth for infrastructure and application deployment. With tools like ArgoCD or Flux, you can:

Apply consistent configurations across clusters.

Automatically detect and rollback configuration drifts.

Audit all changes through Git commit history.

Benefits:

·       Immutable infrastructure

·       Easier rollbacks

·       Team collaboration and visibility

2. Centralized Cluster Management Platforms

Use centralized control planes to manage the lifecycle of multiple clusters. Popular tools include:

Rancher – Simplified Kubernetes management with RBAC and policy controls.

Red Hat OpenShift – Enterprise-grade PaaS built on Kubernetes.

VMware Tanzu Mission Control – Unified policy and lifecycle management.

Google Anthos / Azure Arc / Amazon EKS Anywhere – Cloud-native solutions with hybrid/multi-cloud support.

Benefits:

·       Unified view of all clusters

·       Role-based access control (RBAC)

·       Policy enforcement at scale

3. Standardization with Helm, Kustomize, and CRDs

Avoid bespoke configurations per cluster. Use templating and overlays:

Helm: Define and deploy repeatable Kubernetes manifests.

Kustomize: Customize raw YAMLs without forking.

Custom Resource Definitions (CRDs): Extend Kubernetes API to include enterprise-specific configurations.

Pro Tip: Store and manage these configurations in Git repositories following GitOps practices.

4. Scalable Observability Stack

Deploy a centralized observability solution to maintain visibility across environments.

Prometheus + Thanos: For multi-cluster metrics aggregation.

Grafana: For dashboards and alerting.

Loki or ELK Stack: For log aggregation.

Jaeger or OpenTelemetry: For tracing and performance monitoring.

Benefits:

·       Cluster health transparency

·       Proactive issue detection

·       Developer fliendly insights

5. Policy-as-Code and Security Automation

Enforce security and compliance policies consistently:

OPA + Gatekeeper: Define and enforce security policies (e.g., restrict container images, enforce labels).

Kyverno: Kubernetes-native policy engine for validation and mutation.

Falco: Real-time runtime security monitoring.

Kube-bench: Run CIS Kubernetes benchmark checks automatically.

Security Tip: Regularly scan cluster and workloads using tools like Trivy, Kube-hunter, or Aqua Security.

6. Autoscaling and Cost Optimization

To avoid resource wastage or service degradation:

Horizontal Pod Autoscaler (HPA) – Auto-scales pods based on metrics.

Vertical Pod Autoscaler (VPA) – Adjusts container resources.

Cluster Autoscaler – Scales nodes up/down based on workload.

Karpenter (AWS) – Next-gen open-source autoscaler with rapid provisioning.

Conclusion

As Kubernetes adoption matures, organizations must rethink their management strategy to accommodate growth, reliability, and governance. The transition from a handful of clusters to enterprise-wide Kubernetes infrastructure requires automation, observability, and strong policy enforcement.

By adopting GitOps, centralized control planes, standardized templates, and automated policy tools, enterprises can achieve Kubernetes cluster management at scale—without compromising on security, reliability, or developer velocity. 

[ludoonline]

Faster, Safer Deployments: How CI/CD Transforms Cloud Operations

In today’s high-velocity digital landscape, speed alone isn't enough—speed with safety is what defines successful cloud operations. As businesses shift from legacy systems to cloud-native environments, Continuous Integration and Continuous Deployment (CI/CD) has become the engine powering faster and more reliable software delivery.

CI/CD automates the software lifecycle—from code commit to production—ensuring rapid, repeatable, and error-free deployments. In this blog, we’ll explore how CI/CD transforms cloud operations, enabling teams to deliver updates with confidence, reduce risk, and accelerate innovation.

🔧 What Is CI/CD?

CI/CD stands for:

Continuous Integration (CI): The practice of frequently integrating code changes into a shared repository, automatically triggering builds and tests to detect issues early.

Continuous Deployment (CD): The process of automatically releasing validated changes to production or staging environments without manual intervention.

Together, they create a streamlined pipeline that supports rapid, reliable delivery.

🚀 Why CI/CD Is Essential in Cloud Environments

Cloud infrastructure is dynamic, scalable, and ever-evolving. Manual deployments introduce bottlenecks, inconsistencies, and human error. CI/CD addresses these challenges by automating key aspects of software and infrastructure delivery.

Here’s how CI/CD transforms cloud operations:

1. Accelerates Deployment Speed

CI/CD pipelines reduce the time from code commit to deployment from days to minutes. Automation removes delays caused by manual approvals, environment setups, or integration conflicts—empowering developers to release updates faster than ever before.

For cloud-native companies that rely on agility, this speed is a game-changer.

2. Improves Deployment Safety

CI/CD introduces automated testing, validation, and rollback mechanisms at every stage. This ensures only tested and secure code reaches production. It also supports blue/green and canary deployments to minimize risk during updates.

The result? Fewer bugs, smoother releases, and higher system uptime.

3. Enables Continuous Feedback and Monitoring

CI/CD tools integrate with monitoring solutions like Prometheus, Datadog, or CloudWatch, providing real-time insights into application health and deployment success. This feedback loop helps teams quickly identify and resolve issues before users are affected.

4. Enhances Collaboration Across Teams

DevOps thrives on collaboration. With CI/CD, developers, testers, and operations teams work together on shared pipelines, using pull requests, automated checks, and deployment logs to stay aligned. This cross-functional synergy eliminates silos and speeds up troubleshooting.

5. Supports Infrastructure as Code (IaC)

CI/CD pipelines can also manage infrastructure using IaC tools like Terraform or Ansible. This enables automated provisioning and testing of cloud resources, ensuring consistent environments across dev, test, and production.

Incorporating IaC into CI/CD helps teams deploy full-stack applications—code and infrastructure—reliably and repeatedly.

🔄 Key Components of a CI/CD Pipeline

Source Control (e.g., GitHub, GitLab)

Build Automation (e.g., Jenkins, GitHub Actions, CircleCI)

Automated Testing (e.g., JUnit, Selenium, Postman)

Artifact Management (e.g., Docker Registry, Nexus)

Deployment Automation (e.g., Spinnaker, ArgoCD)

Monitoring and Alerts (e.g., Prometheus, New Relic)

Each step is designed to catch errors early, maintain code quality, and reduce deployment time.

🏢 How Salzen Cloud Helps You Build CI/CD Excellence

At Salzen Cloud, we specialize in building robust, secure, and scalable CI/CD pipelines tailored for cloud-native operations. Our team helps you:

Automate build, test, and deployment workflows

Integrate security and compliance checks (DevSecOps)

Streamline rollback and disaster recovery mechanisms

Optimize cost and performance across multi-cloud environments

With Salzen Cloud, your teams can release more frequently—with less stress and more control.

📌 Final Thoughts

CI/CD isn’t just a developer convenience—it’s the backbone of modern cloud operations. From faster time-to-market to safer releases, CI/CD enables organizations to innovate at scale while minimizing risk.

If you’re looking to implement or optimize your CI/CD pipeline for the cloud, let Salzen Cloud be your trusted partner in transformation. Together, we’ll build a deployment engine that fuels your growth—one commit at a time.

[offbrandtech]

DeliveryOctopus - A declarative, GitOps Continuous Delivery tool for Kubernetes

[aitoolswhitehattoolbox]

Senior DevOps Engineer (IAC Infra Coding - GO, Python, Java, GitOps, ArgoCD) / Signavio

We help the world run betterAt SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly…

[ericvanderburg]

Navigating the AI-Powered Era: Why Modern Deployment Platforms Must Evolve Beyond Jenkins & ArgoCD

http://securitytc.com/TJTD6V

[foxutech]

How to Configure Alerts and Event Handling with Argo CD

As of today, GitOps is game changing technique which streamline application deployments and automation workflows. In this, Argo CD is a powerful continuous delivery tool and contributes major role. It leverages Git repositories as the single source of truth for application deployments. Argo CD not only provides deployment feature, it also supports for real-time event handling, notifications with…