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My First AWS EC2 Instance: From Stumbles to a Running Nginx Server

Launching an EC2 instance and hosting a web server is a part of the DevOps journey.
The plan includes launching an EC2 instance, connecting via SSH, and setting up an Nginx web server.
Challenges faced: wrong AMI selection and port problems.
Key takeaways: choosing the right AMI, setting up correct inbound rules for ports, and enjoying troubleshooting in DevOps.

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Dev

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Solve problem for dynamic Elixir cluster - ClusterHelper

Developing a dynamic Elixir cluster on Kubernetes (K8s) can be challenging due to the dynamic nature of K8s and the changing IP and hostname of pods.
The ClusterHelper library has been created to address this challenge by mapping roles or IDs to Elixir node names at runtime.
This library allows for automatic updating of node roles when a node joins the cluster and provides a way for other nodes to lookup Elixir node names when needed.
Using ClusterHelper and the EasyRpc library, scaling the number of Elixir nodes (pods on K8s) becomes easier, as there is no need to worry about Elixir node names or mapping them on K8s.

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Dev

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Automatically generate diagrams from resources deployed in AWS

The tool infra-inspector automates the process of generating diagrams from resources deployed in AWS.
Users can create a configuration file to specify which AWS resources to catalog.
The command 'docker run' can be used to generate the inventory and diagram from the defined configuration.
Automating the process of generating diagrams offers time savings, accuracy, and up-to-date documentation for AWS environments.

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Kubernetes

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Introducing JobSet

JobSet is an open source API introduced by Daniel Vega-Myhre, Abdullah Gharaibeh, and Kevin Hannon for representing distributed jobs, focusing on distributed ML training and HPC workloads on Kubernetes.
JobSet aims to solve gaps in Kubernetes primitives for distributed ML training, offering a unified API for large-scale distributed HPC and ML use cases.
Key features of JobSet include Replicated Jobs, automatic headless service management, configurable success and failure policies, and exclusive placement per topology domain.
It models distributed batch workloads as Kubernetes Jobs and uses ReplicatedJobs to manage child Jobs, allowing users to define different pod templates for various groups of pods.
JobSet integrates with Kueue for workload queuing, oversubscription, multi-tenancy, and more, enhancing cluster resource utilization.
An example use case of JobSet involves distributed ML training on multiple TPU slices using Jax, showcasing its capabilities for TPU-based workloads.
Future JobSet features include configurable success and failure policies, seamless integration with Kubernetes, and providing a rich API for distributed computing tasks.
Developers and contributors are encouraged to engage with the JobSet project, offer feedback, report bugs, suggest features, and participate in its development.
For more information on JobSet, its roadmap, and how to get involved, interested parties can visit the project repository, mailing list, or reach out on Slack.

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Dev

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Mac Dev Environment Automation: From Reset to Ready in 5 Minutes

The article discusses automating the setup of a Mac development environment within 5 minutes, starting from scratch after facing disk space issues.
The author developed a tool inspired by their tech lead's setup installer to quickly configure the development environment using Homebrew, dotfiles, and zsh configurations.
The setup tool includes a simple UI built from scratch using color and tty libraries in Golang to facilitate tool selection and installation.
Tools like ExistBrewPackage and ExistApplication are used to check for existing software before installing new tools via Homebrew.
Dotfiles are version-controlled and managed through symbolic links, providing portability and ease of setup across different devices.
Manual setup steps, such as Apple configurations, are covered in a guide section, and the deployment process involves using GitHub Actions for continuous integration.
The GitHub repository for the setup tool is shared, allowing for easy setup and configuration on Mac-based computers.
The author successfully automates their development environment setup, making it quick and efficient, with the ability to reset their laptop to clear disk space whenever needed.
The tool's deployment is streamlined using GitHub Actions, ensuring smooth compilation and release processes for the setup tool.
Overall, the author's approach enables swift and consistent development environment setup on Mac machines, enhancing productivity and ease of use for developers.
The reader is encouraged to explore the GitHub repository for further insights and potential inspiration for optimizing their own development workflows.

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Dev

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The Open-Source On-Call Integration

This document provides a guide to integrate Versus Incident with AWS Incident Manager for On Call management.
Steps include configuring contacts, escalation plans, response plans, and IAM roles.
Create contacts with details like name and contact methods, set up escalation plans and response plans in Incident Manager.
Define an IAM role for Versus to interact with AWS Incident Manager, ensuring necessary permissions are granted.
Deploy Versus using Docker or Kubernetes, configure settings like alert channels and on-call functionalities.
Generate acknowledgment URLs for incidents in Versus and configure alert rules in Prometheus.
Set up Alert Manager routing configurations for different scenarios like immediate triggering or waiting for acknowledgment.
Test the integration by simulating alerts, verifying Versus operations, and checking escalation processes.
By following these steps, you can effectively manage on-call notifications and escalations using Versus Incident and AWS Incident Manager.
Adjust configurations based on your environment requirements and troubleshoot any issues that may arise during the integration.

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Dev

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CI/CD DevOps Pipeline Project: Deployment of Java Application on Kubernetes

This article focuses on deploying a Java application on Kubernetes using a CI/CD DevOps pipeline.
The project highlights the importance of implementing DevOps practices for efficient software delivery.
Key objectives include automating the CI/CD pipeline, integrating various DevOps tools, ensuring code quality and security, and enabling scalable deployments.
The project utilizes tools like Jenkins, Maven, SonarQube, Trivy, Docker, Kubernetes, Prometheus, Grafana, and more for automation.
AWS EC2 instances are provisioned to support the infrastructure, including nodes for Kubernetes, SonarQube, Nexus Repository, Jenkins, and monitoring.
The article provides detailed steps for setting up a Kubernetes cluster with Kubeadm, installing CRI-O runtime, Kubernetes packages, and joining worker nodes.
Instructions are given for installing Jenkins, Docker, and setting up Nexus Repository to streamline the CI/CD process.
A guide on creating a private Git repository, generating a Personal Access Token, and pushing code securely is included.
The setup of a Jenkins CI/CD pipeline for Java application deployment is explained with stages for build, security scanning, quality analysis, artifact publishing, Docker image handling, Kubernetes deployment, and notifications.
A segment on monitoring setup covers Prometheus and Grafana installation, configuration, and integration for system health monitoring.
The article concludes by emphasizing the project's impact on software delivery efficiency, reliability, and quality, with future prospects for continuous improvement and innovation in DevOps practices.

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Medium

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How I Learned Linux by Playing a Hacking Game — And You Can Too!

Bandit is an interactive and engaging Linux-based game that helps users learn Linux command-line concepts.
The game is structured in levels, with users needing to find passwords to progress to the next stage.
Players gradually learn how to navigate the file system, manipulate files, and use fundamental and advanced commands.
Bandit offers an enjoyable way to improve Linux skills while thinking critically and mastering essential commands.

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Dev

383

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How to mount secrets as files or environment variables in kubernetes

This article explores different ways to mount secrets in Kubernetes as environment variables or files.
Creating and exposing secrets as environment variables is demonstrated using 'kubectl create secret'.
The process of using secrets in a Pod is detailed, showing how to specify keys and values.
Scenarios are presented where a single key from a secret or all values are mounted as environment variables.
Mounting secrets as files in a pod is explained, including using a JSON file stored in a secret.
An example showcases mounting a specific secret key as a single file within a deployment.
The article emphasizes the importance of proper configuration and debugging using 'kubectl describe pod'.
Detailed steps and examples are provided for each scenario, aiding in understanding Kubernetes secrets usage.
Understanding when and how to use different methods of mounting secrets in Kubernetes is crucial for securing application configurations.
The article serves as a valuable resource for Kubernetes users seeking to manage secrets effectively in their deployments.

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Dev

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"Argo CD: A GitOps Tool for Kubernetes Continuous Deployment"

Argo CD is a GitOps-based continuous deployment tool designed for Kubernetes that ensures automated deployments and real-time synchronization with Kubernetes clusters.
GitOps uses Git repositories as a single source of truth for managing infrastructure and application deployment, enabling version control and automated synchronization of states.
Argo CD follows the GitOps approach, detecting discrepancies between actual and desired states defined in Git and ensuring automatic synchronization.
Key features of Argo CD include declarative deployment, automated synchronization, RBAC, self-healing capabilities, and monitoring.
Argo CD architecture consists of API server, Repo server, and Application controller, ensuring application management, synchronization, and self-healing abilities.
Installation of Argo CD involves creating a namespace, installing components, exposing services, and accessing via UI or CLI.
Argo CD is preferred over Jenkins for Kubernetes deployments due to its declarative approach, continuous sync, UI/CLI support, and flexibility with Helm and YAML.
Flux CD is an alternative to Argo CD, suitable for lightweight deployments and integration with Kubernetes-native tools like Helm Operator.
Argo CD simplifies Kubernetes deployments by automating synchronization with Git repositories, reducing manual errors and providing a Kubernetes-native deployment approach.
For teams managing Kubernetes applications seeking automated GitOps workflow, integrating Argo CD into the DevOps pipeline is recommended for efficient continuous deployment.

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Dev

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Remote Work Challenges for Developers & How to Overcome Them

Remote work has become the norm for many developers, but it comes with challenges.
Communication barriers and lack of collaboration can slow down remote teams.
Time zone differences can cause availability issues for global remote teams.
Remote developers face distractions and lack of focus while working from home.

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Dev

242

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Custom User AUTH/Z for Strimzi Kafka: Integrating Your Corporate CERTIFICATE AUTHORITY Certs with Strimzi KAFKA

Integrating your organization’s Certificate Authority (CA) with Strimzi Kafka is essential for enforcing user-level authentication and authorization (AUTH/Z) in corporate environments.
To integrate the corporate CA with Strimzi Kafka, the following steps can be followed:
1. Develop a Custom Principal Builder Class to override Kafka's default Common Name (CN) validation logic.
2. Create a custom Kafka Docker image incorporating the compiled custom principal builder class.

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Dev

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Understanding Execution Units in Amazon EKS with Fargate

Amazon EKS (Elastic Kubernetes Service) with Fargate provides a fully managed, serverless compute engine for containers.
The smallest unit of execution in EKS (and Kubernetes in general) is not a container — it's a pod.
In Fargate, you cannot run a container by itself — it must be inside a pod.
Understanding that the pod is the minimum execution unit helps you design better Kubernetes manifests and configure IAM, networking, and observability correctly.

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The end of Docker? The Reasons Behind Developers Changing Their Runtimes

Docker, once a containerization pioneer, is facing challenges in 2025 as developers opt for faster, leaner, and more secure alternatives.
Factors contributing to Docker's decline include changes in licensing, performance issues on Windows and macOS, security vulnerabilities, and a monolithic approach in a modular world.
Alternative container runtimes like Podman, containerd, CRI-O, Lima, Finch, nerdctl, and Buildah are gaining popularity for their security, modularity, performance, and open nature.
Developers are advised to consider where Docker fits best, with Docker Compose still valuable for local development but alternatives like containerd and CRI-O being preferred for production environments, especially in Kubernetes clusters.
The future of containerization is moving towards open standards, lightweight runtimes, and cloud-native concepts, with Docker still holding significance but facing competition from more specialized tools.
While Docker is not disappearing, the evolving container ecosystem offers developers a wider range of choices and opportunities for innovation in container development.
Individual preferences for container runtimes may vary based on factors such as security requirements, licensing preferences, and performance needs, with different runtimes catering to specific use cases.
The container landscape is maturing, with developers encouraged to explore different runtimes to find the best fit for their workflows and development practices.
The future of containerization lies in modular tools that align with open standards, prioritize security, and offer flexibility to adapt to evolving development needs.
Developers are encouraged to join the discussion on container development trends and share their experiences with alternative runtimes like Podman, containerd, and others.

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Dev

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The Secret Chamber Every Developer Should Have: Unleashing the Power of Side Repositories

A side repository serves as a secondary Git repository that runs parallel to the main project repository, offering a concealed yet valuable storage space for developers.
It is beneficial for storing sensitive files, common utilities across projects, shared resources for teams, and cross-project assets effectively.
Side repositories help manage sensitive configurations, share team resources, and maintain cross-project resources efficiently and securely.
git-popper, a side repository manager, automates the integration process between main and side repositories, simplifying file synchronization tasks.
Setting up a side repository involves creating a new repository, structuring it according to needs, and cloning it alongside the main repository for seamless integration.
Various integration patterns like symlink, copy-on-setup, automation tools, and Git submodules allow developers to link side repositories with the main project effectively.
Real-world success stories showcase the benefits of using side repositories, like reducing duplication, speeding up onboarding, and maintaining shared resources efficiently.
Pitfalls to avoid with side repositories include drift, dependency management issues, and overuse as a dumping ground for unnecessary files.
A side repository is suitable for projects with sensitive configurations, frequent sharing of resources, similar setups across projects, or controlled access requirements.
By starting small, identifying version-controlled files, creating private repositories, and implementing integration patterns or tools like git-popper, developers can leverage the benefits of side repositories effectively.

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