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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

248

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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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Dev

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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

257

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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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Dev

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Docker Multistage Build: What it is and how to use it

Docker Multistage Build is a technique that optimizes Docker images by reducing their size and improving security.
Benefits of Multistage Build include smaller image size, improved security, and optimized build time.
Example Dockerfile snippets for Golang, Laravel, and Rust demonstrate the use of Multistage Build in different programming languages.
By utilizing Docker Multistage Build, developers can improve efficiency, security, and streamline the deployment process.

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Dev

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DevOps Made Simple: A Beginner’s Guide to Setting Up CI/CD Pipelines with GitHub Actions & Kubernetes

Continuous Integration and Continuous Deployment (CI/CD) is a fundamental practice in modern DevOps, ensuring rapid, reliable, and automated software delivery.
GitHub Actions and Kubernetes provide a powerful combination for automating CI/CD workflows.
This guide provides a step-by-step approach to set up a CI/CD pipeline using GitHub Actions and deploying an application to Kubernetes.
Common mistakes and best practices are discussed, with examples of real-world applications using GitHub Actions and Kubernetes.

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Dev

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How to query CSV as a database table in Java with esProc

esProc provides JDBC drivers and computation libraries to query CSV files as data tables in Java.
The process involves installing esProc, configuring the Java environment, and writing Java code to connect to esProc using JDBC.
esProc JDBC allows you to execute SPL (Structured Process Language) statements to read and manipulate CSV files.
The example demonstrates how to read a CSV file in esProc, query with conditions, and perform group and aggregation queries.

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Microsoft

310

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Introducing Java, JS and Python support in Test Plans

Azure Test Plans in Azure DevOps now supports Java, JS, and Python.
Automated tests written in Java/JUnit, JS/Jest, and Python/PyTest can be associated with test cases and executed using Azure Test Plans.
Test cases can be associated with automated tests directly from the Build Pipeline Run or within the test case itself.
In the future, more languages and frameworks, such as Python/Robot and Java/Playwright, will be supported.

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Dev

297

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Kanban vs. Scrum: Which One Actually Works Better for Dev Teams?

Kanban and Scrum are popular Agile frameworks for managing software development projects, each with distinct methodologies.
Scrum operates with structured sprints and defined roles, while Kanban offers a flexible workflow focusing on visualization and limiting work in progress.
Choosing between Kanban and Scrum depends on factors like team size, project complexity, and work culture.
Scrum organizes work into fixed-length iterations known as sprints, promoting collaboration and incremental software delivery.
Key components of Scrum include sprints, Scrum roles (Scrum Master, Product Owner, Development Team), and daily stand-up meetings.
Benefits of Scrum include predictability, accountability, continuous improvement, and customer satisfaction.
Challenges of Scrum may include strict structure, time-consuming meetings, and scope creep issues.
Kanban focuses on continuous delivery, real-time visualization, limiting work in progress, and flexibility.
Key components of Kanban include the Kanban board, work-in-progress limits, continuous flow, flexibility, and no fixed roles.
Benefits of Kanban include flexibility, increased efficiency, continuous delivery, and reduced administrative overhead.

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Medium

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Git for Beginners: A Complete Step-by-Step Guide to Version Control

In today’s fast-paced software development world, tracking changes in code is essential.
Git, the most widely used VCS, allows developers to manage their code efficiently, track progress, and work collaboratively without conflicts.
This guide will cover everything you need to get started with Git — from understanding version control, installing Git, and configuring it for first-time use to running essential Git commands and troubleshooting common issues.
A Version Control System (VCS) is a tool that helps developers track and manage changes in their code.

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Dev

100

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Secure Your AWS Pipeline: Step-by-Step Guide to VPC Integration-part 2

In the second part of the guide on securing AWS pipelines, the focus shifts to integrating VPC for enhanced security measures.
A VPC (Virtual Private Cloud) creates an isolated section in AWS to securely launch and manage resources, ensuring controlled access and protection from security risks.
Securing access to private resources in a VPC involves connecting the pipeline to a production environment in a private subnet.
Private subnets, without direct internet access, require a NAT Gateway or VPC Endpoint for secure deployment and outbound traffic control.
Security Group Rules, IAM Roles, and Policies are essential components to regulate access and prevent unauthorized changes within the VPC.
By using a NAT Gateway in a private subnet, applications can securely access the internet for updates while maintaining a shield against security threats.
A step-by-step Terraform template is provided to create and configure a VPC, public and private subnets, NAT Gateway, route tables, and Security Groups for enhanced security.
This setup ensures that the CICD pipeline can deploy updates to resources in a private subnet with controlled internet access via the NAT Gateway, enhancing security measures.
The article encourages readers to explore the full GitHub Repository for a detailed architectural deployment and tips on AWS, DevOps, and Terraform.
Readers are invited to follow the author on social media platforms for more insightful content and to engage with questions or suggestions.

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Ubuntu

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Accelerating AI with open source machine learning infrastructure

Accelerating AI with open source machine learning infrastructure
Canonical's MicroK8s and Charmed Kubeflow, running on Dell PowerEdge R7525 servers, and accelerated by NVIDIA NIM microservices, provide a streamlined path for deploying and managing machine learning workloads.
This architecture empowers data scientists and engineers, enabling faster iteration, seamless scalability, and robust security.
The collaboration between Canonical and NVIDIA ensures optimized software stack for NVIDIA-Certified Systems, delivering exceptional AI performance and reliability.

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