Posts

Kustomize - power of customization

What Kustomize is? Kustomize is a configuration management tool built into kubectl for customizing Kubernetes YAML manifests without modifying the original files. It allows users to define a common set of base resources and then layer environment-specific customizations (called overlays) on top. This makes it ideal for managing multiple deployment environments like development, staging, and production. Instead of using templates or variables, Kustomize works by applying transformations directly to Kubernetes-native YAML.

Saturday, May 3, 2025 | 10 minutes Read

Harbor - self-hosted registry with cloud OIDC authentication (Docker compose deployment)

Intoduction Harbor is an open source registry that bolsters artifact security with advanced policies and role-based access control. It performs comprehensive vulnerability scans on images and verifies their authenticity through digital signatures. As a CNCF Graduated project, Harbor offers strong compliance, high performance, and seamless integration, allowing for consistent and secure management of artifacts across cloud-native platforms like Kubernetes and Docker. Harbor Features Cloud Native Registry Harbor supports both container images and Helm charts, making it an ideal registry for cloud-native environments, including container runtimes and orchestration platforms.

Thursday, September 12, 2024 | 5 minutes Read

Gitea - modern lightweight self-hosted git service

Intoduction Gitea is a painless, self-hosted, all-in-one software development service. It includes Git hosting, code review, team collaboration, package registry, and CI/CD. It is similar to GitHub, Bitbucket and GitLab. Gitea stands out as a lightweight and user-friendly Git service with a streamlined interface. It includes essential tools like issue tracking, pull requests, code review, and wiki pages. Notably, Gitea supports multiple authentication methods such as OAuth, LDAP, and two-factor authentication.

Monday, July 22, 2024 | 5 minutes Read

Link a local monitoring system to Grafana Cloud

Demo files on GitHub Configure Grafana Private data source connect Official dcoumentations Once sign-in to Grafana cloud, go to Connections section and choose Private data source connect Click on +Add new network button On the next step you have to create a new connection token, on the new-created connetor page choose Docker option as installation method. Enter a descriptive token name and press on Create token button

Friday, July 12, 2024 | 3 minutes Read

Briefly about Fundamentals of Computer Vision in Azure AI services

Intro Computer vision, a core area of artificial intelligence, involves developing solutions that allow AI applications to interpret and understand the visual world. Although computers lack biological eyes, they can process images from various sources such as cameras or digital media. This capability enables the creation of software that mimics human visual perception. Image processing To a computer, an image is essentially a grid of numeric pixel values. In the case of a 7x7 pixel image, this translates into a 7x7 array. Each pixel in this array holds a value ranging from 0 (representing black) to 255 (indicating white), with values in between representing various shades of gray. Thus, the image is visualized as a matrix of grayscale intensity levels, where each element corresponds to a specific pixel’s brightness.

Thursday, May 2, 2024 | 7 minutes Read

Computer Vision in Azure Cognetive Services

Computer Vision in Azure Cognetive Services Analyze an image Detect, analyze, and recognize faces Explore Azure AI Vision options for reading text Analyze video Select the appropriate service for a computer vision solution The Azure AI Vision service is crafted to assist in extracting information from images. It offers functionality for: Generating descriptions and tags: This involves determining a suitable caption for an image and identifying relevant “tags” that serve as keywords indicating its subject.

Thursday, May 2, 2024 | 17 minutes Read

SonarQube with PostgreSQL in Azure (Part 1: manual deploy)

Demo files on GitHub Pre-requests Install Terraform Official dcoumentations Ensure that your system is up to date and you have installed the gnupg, software-properties-common, and curl packages installed. You will use these packages to verify HashiCorp’s GPG signature and install HashiCorp’s Debian package repository. sudo apt-get update && sudo apt-get install -y gnupg software-properties-common Install the HashiCorp GPG key. wget -O- https://apt.releases.hashicorp.com/gpg | \ gpg --dearmor | \ sudo tee /usr/share/keyrings/hashicorp-archive-keyring.gpg > /dev/null Add the official HashiCorp repository to your system.

Thursday, May 2, 2024 | 6 minutes Read

Briefly about Azure AI services

Intro Azure AI services provide accessible AI capabilities that can be seamlessly integrated into web or mobile applications. These services encompass a range of functionalities such as image recognition, natural language processing, speech recognition, AI-driven search, and beyond. With over a dozen distinct services available, developers can easily incorporate these tools individually or in combination to infuse their applications with powerful AI capabilities. Azure AI services operate on three principles:

Thursday, April 18, 2024 | 3 minutes Read