One of the key challenges in working with Kubernetes is managing sensitive data like passwords, API tokens, and database credentials in a secure manner. These sensitive details, often referred to as "secrets," need to be protected to ensure application security.

Managing secrets in a cloud-native environment like Kubernetes is a crucial aspect of maintaining the security and integrity of your applications. Secrets, in the context of Kubernetes, are sensitive pieces of data such as passwords, API keys, OAuth tokens, and TLS certificates. These secrets need to be securely managed, accessed, and used by your Kubernetes workloads.

MLflow is an open-source platform for managing the end-to-end machine learning lifecycle. Integrating it with Kubernetes allows scalable deployment, artifact storage, and tracking capabilities, essential for managing production-level ML models. This guide walks through the setup of MLflow on Kubernetes, configuring PostgreSQL as the backend, MinIO as the artifact store.

MinIO is a popular open-source object storage solution, ideal for handling unstructured data at high performance. Integrating MinIO into Kubernetes allows you to deploy scalable storage in your cloud-native applications. In this article, we'll walk you through setting up MinIO in a Kubernetes environment

A private local container registry enables you to securely store and manage your Docker images, improving efficiency, control, and security. This guide will walk you through the setup of Docker Distribution Registry in Kubernetes cluster.

Automating the provisioning of AWS infrastructure is essential for ensuring consistency and minimizing human errors during deployments. With Terraform and GitHub Actions, you can implement a Continuous Delivery (CD) pipeline that deploys to multiple environments (like staging and production) across different AWS accounts.

Using GitHub’s default runners may not always be ideal, particularly if you need custom configurations, enhanced security, or cost-efficiency. Hosting self-managed GitHub runners on AWS offers flexibility and control over your CI/CD processes. In this guide, we'll walk through the process of setting up GitHub self-hosted private runners on AWS.

Kubernetes provides a powerful platform for managing containerized applications. In Kubernetes, Persistent Volumes (PVs) and Persistent Volume Claims (PVCs) enable dynamic and scalable storage management, ensuring that stateful applications can retain their data even if containers are deleted and recreated.

In today’s fast-paced development environment, continuous integration and continuous deployment (CI/CD) are no longer optional—they’re essential. Automating these processes not only speeds up your workflow but also minimizes human error, allowing you to focus on what truly matters: writing quality code.

Argo CD is a powerful continuous delivery tool for managing Kubernetes resources through a GitOps approach. With Argo CD, your Git repository is the single source of truth for your application’s desired state, ensuring consistency and reliability across your deployments.

Managing AWS access keys for GitHub Actions can be a challenge, especially when ensuring security and ease of access. Traditionally, AWS IAM user access keys have been used to grant GitHub Actions the permissions needed to interact with AWS resources. However, there is a more secure and manageable way: using OpenID Connect (OIDC) identity providers to obtain temporary AWS credentials.

Kubernetes has become the go-to orchestration platform for containerized applications, providing robust capabilities to manage large-scale deployments. One essential tool within the Kubernetes ecosystem is the Kubernetes Dashboard, a web-based interface that allows users to manage and monitor their Kubernetes clusters. In this article, we will explore how to set up and use the Kubernetes Dashboard with Docker Desktop.

Apache Iceberg is a high-performance open table format for analytic datasets. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Spark, Trino, Flink, Presto, Hive and Impala to safely work with the same tables, at the same time. Iceberg provides ACID compliance, Schema evolution, Time travel for data lakes.

As data becomes increasingly critical to businesses, the need to capture and process changes in real-time has never been more important. In this article, we'll explore how to read changed data from a Oracle database and write it to a Kafka topic as event messages using Confluent Oracle CDC Source Connector.

Deploying an Oracle Database within a Docker container can significantly streamline development and testing processes. This guide outlines the necessary steps to build and run an Oracle Docker image efficiently.

As data becomes increasingly critical to businesses, the need to capture and process changes in real-time has never been more important. In this article, we'll explore how to read changed data from a MongoDB Server and write it to a Kafka topic as event messages using Debezium's MongoDB CDC Source Connector.

As data becomes increasingly critical to businesses, the need to capture and process changes in real-time has never been more important. In this article, we'll explore how to read changed data from a MSSQL Server and write it to a Kafka topic as event messages using Debezium's SQL Server CDC Source Connector.

As data becomes increasingly critical to businesses, the need to capture and process changes in real-time has never been more important. In this article, we'll explore how to read changed data from a MySQL database and write it to a Kafka topic as event messages using Debezium's MySQL CDC Source Connector.

As data becomes increasingly critical to businesses, the need to capture and process changes in real-time has never been more important. In this article, we'll explore how to read changed data from a PostgreSQL database and write it to a Kafka topic as event messages using Debezium's PostgreSQL CDC Source Connector.

Are you looking to set up a Nginx container using Docker on your MacOS machine? Look no further! In this article, we'll walk you through the process of creating and configuring a Docker Nginx container, including setting nginx configuration as Reverse Proxy, API Gateway, http redirection & ssl/tls termination.