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Addressing Digital Sovereignty: STACKIT’s OpenStack Solution for Secure, Compliant Cloud Computing

STACKIT, a cloud provider of Schwarz Group, prioritizes digital sovereignty through the use of OpenStack to ensure data control and compliance with strict regulations in Germany and Europe.
OpenStack enables companies to manage their data securely, meeting legal requirements such as GDPR and BDSG, essential for industries like healthcare and finance.
STACKIT's OpenStack deployment allows for control over data infrastructure, avoiding reliance on third-party providers and ensuring compliance with data localization laws.
The flexibility and security of OpenStack align with STACKIT's need for infrastructure control, supporting scalability and resilience across multiple Availability Zones.
Contributions to the open-source community showcase STACKIT's commitment to innovation, ensuring their cloud infrastructure remains cutting-edge.
Schwarz Group's cloud services emphasize data privacy and protection, with client data processed and stored exclusively in Germany and Austria, meeting strict privacy laws.
STACKIT offers sovereign private cloud options to European organizations, empowering them to embrace digital transformation with data control and compliance.
The focus on data sovereignty extends to external partners, positioning STACKIT as a leader in cloud services by providing tailored solutions for diverse business needs.
By maintaining control over data with OpenStack, STACKIT sets a new standard for cloud computing, enabling businesses to comply with regulations while driving their digital future.

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Hashicorp

232

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Patterns to refactor infrastructure as code for compliance

Platform engineers in organizations may face challenges with platform sprawl, leading to fragmented workflows and difficulties in managing compliance and security across multiple platforms.
Refactoring applications, infrastructure, and security using new patterns and workflows can help standardize practices and streamline compliance at scale.
Standardizing practices for lower risk and stronger compliance includes efforts like policy as code and principles of immutability.
Refactoring for standardization can involve abstracting workflows, importing existing infrastructure onto new platforms using Terraform, or migrating resources to newer platforms.
Policy as code automates policy enforcement related to security, compliance, cost controls, and operational resilience for infrastructure.
Policy as code can be used to manage policies through software delivery pipelines and tests infrastructure configuration for conformance.
Static analysis in policy as code provides faster feedback on Terraform code alignment with organizational requirements.
Dynamic analysis in policy as code checks live infrastructure for policy conformance and identifies configuration drift.
Using immutability in migrations helps manage changes with minimal disruption by creating new resources instead of updating existing ones directly.
Policy as code and immutability together speed up risk discovery, standardization efforts, and reduce remediation time for security and compliance issues.
Applying policy as code and immutability principles can help organizations refactor infrastructure, standardize platforms, and minimize risks associated with migrations.

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Dev

442

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🚀 Setting Up a Kubernetes Observability Proof of Concept (POC) with MicroK8s and DataDog

The article outlines the process of setting up a Kubernetes Observability Proof of Concept (POC) using MicroK8s and DataDog.
It begins with installing Multipass and setting up MicroK8s, a lightweight Kubernetes distribution ideal for offline development and testing.
Steps include creating a MicroK8s template, launching an instance, exporting configurations for Kubectl, and adding an IP alias for ease of access.
The article then delves into DataDog setup, explaining the differences between US1, US3, and US5 regions in Datadog along with their use cases and performance.
It guides on choosing the right region based on compliance and isolation needs, and provides insights on setting up DataDog in Kubernetes using the Datadog Operator or Helm Chart.
Instructions include installing the Datadog Agent, configuring it for different Kubernetes distributions, deploying it, and confirming the installation.
Overall, the article serves as a detailed guide for implementing a Kubernetes observability POC with MicroK8s and DataDog.

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Alvinashcraft

424

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Dew Drop – February 24, 2025 (#4368)

Heroku now officially supports .NET, expanding its capabilities for developers.
Azure File Sync receives updates for faster performance, increased security, and Windows Server 2025 support.
ESLint version 9.21.0 has been released, offering improvements for JavaScript linting.
Ember 6.2 is launched, bringing new features and enhancements to the web development framework.
An article discusses alternatives to CAPTCHA and reCAPTCHA for authentication and security.
WinUI3Localizer is introduced as a NuGet package to assist in localizing WinUI 3 applications.
A guide on retrieving images from the clipboard reliably in WPF is revisited for efficient implementation.
BlazorWebView.WinUI enables building WinUI applications using Blazor and WebView2 technologies.
Methods for optimizing PDF files using a C# PDF API are detailed for improved file management.
A discussion on C# 14's null-conditional assignment feature and its benefits for developers.

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Dbi-Services

178

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OpenStack – Deploying the first compute instance

To create the first compute instance in OpenStack, preparation is needed, including defining flavors for instance metrics like CPU, memory, and disk.
Flavors in OpenStack define base metrics for instances to be launched, similar to AWS EC2 instance types.
You can create flavors either through the command line or the Horizon dashboard.
Creating a small flavor 'm1.nano' for the 'CirrOS' image involves setting vCPUs, RAM, and disk size.
Setting up an SSH keypair and security groups to allow access over SSH and ping is essential.
Deploying the first instance in OpenStack involves specifying flavor, image, network, SSH key, security group, and instance name.
You can monitor the instance creation event and check its status through commands like 'openstack server event list/show'.
Accessing the deployed instance using SSH and testing connectivity to the internet are crucial steps.
The article concludes by emphasizing readiness to utilize the instance for various purposes and hints at possible next steps like adding storage components.
Overall, the article provides a detailed guide on deploying the first compute instance in OpenStack with necessary configurations and steps involved.

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Dev

401

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Helm Command Cheatsheet 2025

The Helm Command Cheatsheet 2025 provides a quick reference for common Helm commands and configurations.
Basic Commands: Helm provides several basic commands for initializing new charts, installing, upgrading, and uninstalling releases, as well as listing releases in different namespaces.
Repository Management: Helm offers commands for managing repositories, including adding, updating, listing, and removing repositories, as well as searching for charts in repositories and Artifact Hub.
Chart Management: Helm provides commands for packaging, verifying, and pulling charts, as well as showing chart details, values, and all chart information.

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Dev

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💡Mastering Linux Server Management: Essential Configurations & Logs🖥️

1. Firewall Configuration: /etc/csf/csf.conf - This configuration file controls traffic flow and blocks unauthorized access and attacks.
2. MySQL Configuration: /etc/my.cnf - This file optimizes memory usage and prevents server slowdowns under heavy load.
3. Apache Web Server: /etc/apache2/conf/httpd.conf - Proper configuration improves speed and security by efficiently handling website requests.
4. FTP Server Configuration: /etc/pure-ftpd.conf - This file controls access permissions and prevents unauthorized file uploads/downloads.

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Medium

333

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Planning a Successful First-Time Launch

Launching a product for the first time can be both exciting and daunting.
Essential strategies to ensure a smooth first release include soft launches, performance testing, rollback plans, and user communication.
Soft launches involve releasing to a limited user base or smaller geographic area, monitoring performance indicators, and making adjustments based on feedback.
Hard launches involve releasing to the entire audience at once and require thorough load testing, rollback plans, and prepared customer service.

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Dev

137

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Creating containers with containerd on ARM

Containerd and nerdctl provide a lightweight container runtime to create containers on ARM devices.
Containerd is a preferred choice for IoT and edge solutions due to its small memory and CPU footprint.
To create containers with Containerd and nerdctl:
1. Install containerd and nerdctl on the ARM device.
2. Use nerdctl to create a basic container.
3. Test the container by accessing the NGINX service.

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Dev

205

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Kubernetes vs Docker Swarm: Ultimate Container Orchestration Comparison

Container orchestration has become essential for modern application deployment and scalability, with Kubernetes and Docker Swarm being popular choices.
Kubernetes, developed by Google and maintained by CNCF, is known for its robust feature set, scalability, and extensive ecosystem.
Docker Swarm is Docker's native tool for clustering and orchestration, offering simplicity and integration with the Docker ecosystem.
Kubernetes' architecture is modular with master–node components, while Docker Swarm follows a manager–worker model.
Kubernetes excels in scalability, supporting clusters from a few nodes to thousands, with a vast community and integration with major cloud providers.
Docker Swarm, though simpler, is more suited for smaller clusters and faster setup times, appealing to those familiar with Docker.
Kubernetes provides advanced features like auto-scaling, complex scheduling, and declarative configuration, while Docker Swarm offers ease of use with fewer moving parts.
Kubernetes' complexity may lead to better performance but requires a steeper learning curve, while Docker Swarm simplifies setup and reduces overhead for small to medium-sized deployments.
Kubernetes' strong community support and extensive ecosystem make it favorable for enterprises, while Docker Swarm's simplicity may suit smaller projects and rapid prototyping.
Factors influencing the choice between Kubernetes and Docker Swarm include scalability needs, deployment environment, operational overhead, security requirements, cost considerations, and more.

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Itrevolution

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Sustaining a Culture of Learning: Moving Beyond the Initial Push

To sustain a culture of learning, organizations need to go beyond the initial push and focus on creating social circuitry that integrates learning into daily work.
Key strategies for building sustainable learning systems include: building cross-team connections, embedding learning in daily work, measuring learning outcomes, building organizational resilience, and evolving learning practices.
Practical sustainability strategies include creating self-reinforcing systems, maintaining leadership focus, refreshing and renewing learning practices, and addressing emerging challenges.
Signs of a successful learning culture include natural learning discussions, seamless knowledge sharing, active pursuit of learning opportunities, free knowledge flow, routine innovation, and quick adaptation.

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Dev

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Use Azure Cosmos DB as a Docker container in CI/CD pipelines

Using Docker containers in CI/CD pipelines offers benefits for stateful systems like databases, ensuring clean states for integration tests and a reliable, consistent environment.
The Azure Cosmos DB emulator is available as a Docker container, allowing local development and testing without an Azure subscription.
An example with Azure Cosmos DB emulator and GitHub Actions showcases integrating Azure Cosmos DB in a CI/CD workflow via a YAML file.
The workflow demonstrates configuring the emulator as a service container and using it for testing .NET applications with GitHub Actions.
GitHub Actions simplifies managing the Docker container, starting it for the job, and destroying it automatically upon completion.
Exporting Cosmos DB Emulator Certificate is necessary for .NET applications due to the lack of HTTP mode support in the emulator during the writing.
The provided GitHub repository illustrates setting up the Linux emulator for .NET, Python, Java, and Go applications on various architectures.
By forking the repository, adding necessary secrets and variables, and triggering workflows, users can test the CI setup with the emulator.
Considerations for GitHub Actions runners are highlighted, facilitating the setup for different architectures and runner types.
Utilizing Docker containers in CI pipelines offers numerous advantages beyond GitHub Actions, enhancing testing and automation processes.

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Dev

797

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Apache vs. Nginx: Web Hosting, Performance & Security Compared

Web servers, such as Apache and Nginx, play a crucial role in loading websites when a user types in a URL.
Apache HTTP Server, an older and popular web server, offers flexibility, extensive module ecosystem, and compatibility with different operating systems.
Nginx, a high-performance web server, is known for its efficient handling of high concurrency with low memory usage.
Apache is suitable for traditional hosting, while Nginx is preferred for scalability.

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Dev

196

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Guardius and OWASP ZAP: Boosting Web Application Security with Comprehensive Scanning

Guardius integrates the OWASP ZAP framework to enhance web application security.
Guardius incorporates Active Scan, Spider, and Ajax Spider scanning techniques to identify and mitigate vulnerabilities.
Guardius offers a user-friendly interface, making advanced security testing accessible to developers and non-technical users.
Guardius integrates with CI/CD pipelines, automating security scanning without compromising productivity.

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Lambdatest

237

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16 CI/CD Best Practices You Must Follow in 2025

CI/CD best practices are crucial for successful software project execution and scalability.
Test automation is key in CI/CD for efficiency and reliability, reducing manual effort.
Identifying tests for automation and utilizing parallel testing accelerates the process.
Documentation, central code repository, and version control are essential CI/CD practices.
Learnings from past projects enhance planning and implementation in current projects.
Involving stakeholders, continuous feedback, and frequent code commits improve testing strategy.
Emphasizing on communication, collaboration, and transparency enhances CI/CD workflow.
Prioritizing smaller test cases, choosing the right CI/CD tool, and utilizing online Selenium Grid are recommended.
Test automation should be carefully planned and executed, leveraging cloud-based testing for scalability.
Follow CI/CD best practices to optimize software delivery process and streamline workflow.

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