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Winners announced for AI Awards 2025

The AI Awards gala night celebrated the brightest minds and most innovative companies in the field of artificial intelligence.
There were multiple award categories recognizing excellence across various industries.
The judging panel consisted of 13 experts, and the competition was particularly rigorous this year.
The AI Awards 2025 honoured individuals and organizations for their groundbreaking work in shaping the future of AI.

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Alvinashcraft

370

Dew Drop – April 24, 2025 (#4406)

New features and tools announced on various topics including real-time iOS apps, Windows 11 Recall, paste adjustments, and signing in to Have I Been Pwned.
Updates in the realm of web and cloud development involve new releases, authorization policies, Kubernetes updates, Blazor basics, and Azure SDK modularized libraries.
Discussions under WinUI, .NET MAUI & XAML cover building apps, analyzing investment portfolios, and understanding record types in C#.
AI-related updates include various applications of AI in 2025, stock market trend forecasting, and challenges faced with LLMs in semiconductor docs.
Insights on design, methodology, and testing discuss continuous deployment of Docker Compose applications, securing DevOps pipelines, and improving cyber security outcomes.
In the realm of mobile, IoT & game development, topics range from programming skills with Raspberry Pi to C# Breakout Game Example for SNES.
Podcasts cover discussions on AI, Kubernetes, data access evolution, C++ programming, and software engineering.
Database updates focus on SQL Server stored procedures, auditing in Azure SQL databases, and utilizing managed identities for secure Azure SQL backups.
SharePoint, Microsoft 365 & Teams updates include announcements on SharePoint Framework, Microsoft 365 Copilot, human-agent collaboration, and Microsoft 365 developer program.
PowerShell insights encompass creating dynamic forms with dynamic parameters in PowerShell Universal.
Miscellaneous updates cover running Linux on Surface Go, Windows 11 Insider Preview Build, and OpenAI's potential interest in Google's Chrome Browser.

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Dev

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Special Permissions in Linux (SUID, SGID & Sticky Bit)

Special Permissions in Linux (SUID, SGID & Sticky Bit)
Special permissions like SUID, SGID, and Sticky Bit offer advanced control over file execution and directory behavior in Linux environments.
SUID (Set User ID) allows any user to execute a file with the permissions of the file owner.
SGID (Set Group ID) ensures that files and subdirectories inherit the group of the parent directory.
Sticky Bit prevents users from deleting files they don't own in shared directories.

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Dev

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The "tee" Command in Linux: The Hidden Gem Every Tech Professional Should Know

The "tee" command is a powerful tool in Linux that can save time and make command-line tasks more efficient.
It acts as a splitter, allowing you to view the output of a command while simultaneously saving it to a file.
Some use cases of "tee" include saving command output for future reference, logging information without losing visibility, and sending output to multiple commands simultaneously.
Tech professionals can benefit from using "tee" for tasks such as recording command results for audits, debugging in real-time, and sharing outputs across multiple tools.

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Dev

107

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How Shopify Agencies Can Scale with White Label SEO

Shopify white label SEO services can help agencies scale faster, deliver better results, and retain clients longer.
White label SEO is when a specialized provider handles SEO work under your agency brand.
Shopify stores have unique SEO challenges such as duplicate content and limited control over URL structure.
Using a white label SEO partner saves time and resources, allows offering full-service packages, delivers faster client results, retains more clients, and enables seamless scaling.

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Dev

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The subtle art of waiting

Waiting in Kubernetes can be crucial when one service depends on another that starts slower.
Kubernetes offers startup probes like httpGet or exec to manage startup delays and failures.
Using a tool like wait4x can simplify the process of waiting for services to become available in Kubernetes.
Init containers in Kubernetes can be utilized for waiting for essential services to start before the main application.
Tools like wait4x can be used within Kubernetes pods to ensure dependencies are met before launching applications.
In scenarios where waiting is mandatory, tools like wait4x can be used effectively to synchronize services.
GitHub Actions can also be configured to wait for services to become available before executing tests.
Kubernetes startup probes and external waiting tools like wait4x play a crucial role in optimizing system reliability.
Using these tools can prevent unnecessary restarts and ensure smoother deployment processes.
wait4x is a versatile tool that can be a valuable addition to managing dependencies and orchestrating services in Kubernetes.

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Dev

104

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Kubernetes: Make a control plane node a worker

To make a control plane node a worker, you can use the 'kubectl label node' command.
After running the command, the first node will have both control-plane and worker roles.
You can check if the control plane node is tainted by using the 'kubectl get nodes' and 'kubectl get nodes -o json | jq .spec.taints' commands.
To remove the effect of taint on the control plane, use the 'kubectl taint nodes node-role.kubernetes.io/master:NoSchedule-' command.

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Medium

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Dear Junior DevOps Me: Please Don’t Do These 10 Things

As a junior DevOps, there are certain mistakes you should avoid.
Some common mistakes to avoid include pushing to production on a Friday, deleting critical config files without backups, and hardcoding secrets into repositories.
This guide shares 10 mistakes made by the author, along with the lessons learned.
The author emphasizes the importance of learning from mistakes and receiving guidance from experienced teammates.

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Dev

226

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The Generic Advantage: Making Your Go Code Flexible, Reusable, and Awesome 🔥

Go 1.18 introduced generics, allowing for more flexible and reusable code in Go programming.
Generics simplify coding by reducing the need for repetitive functions tailored to specific types.
Introduction of generics in Go codebases has led to significantly reduced code size and improved performance.
A real-world example like a thread-safe cache demonstrates the power and versatility of generics in Go.
Generics offer compile-time type checking while allowing for flexibility in handling different types.
Overusing generics can lead to bloated binary sizes due to the creation of specialized versions for each type combination.
Best practices for using generics include simplicity in type constraints and balancing performance implications.
Generics should be used judiciously to avoid unnecessary complexity and ensure code clarity and maintainability.
Generics in Go bring value by reducing code duplication, enhancing abstraction flexibility, and improving code quality.
Utilizing generics wisely can lead to cleaner code, fewer bugs, and increased developer satisfaction in Go programming.

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Itrevolution

303

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Unbundling the Enterprise: How API Strategies Can Transform the Public Sector

Government agencies in the public sector face challenges with maintaining legacy systems alongside new initiatives, allocating significant resources to upkeep outdated technology.
Structural barriers like budget recovery disincentives, procurement limitations, and legislative constraints hinder transformation efforts in the public sector.
API-based strategies, including unbundling monolithic systems into reusable capabilities, offer a solution for government agencies to improve mission effectiveness and adapt to evolving requirements.
Successful public sector modernization requires executive alignment, mission connection, financial partnership, and distributed capability of API expertise throughout the organization.
Aligning API initiatives with financial value can lead to sustainable transformation in government institutions, allowing for continuous evolution and cost savings.
Leadership that balances optimism with a realistic assessment of challenges is crucial for driving successful transformation in the public sector.
The paper advocates for incremental, strategic changes in how technology investments are approached and governed, emphasizing practical strategies over wholesale reorganization.
Fishman and McLarty's approach offers a pathway to enhance digital government services and improve citizen experiences without requiring drastic budget increases.
The full paper in the Spring 2025 issue of the Enterprise Technology Leadership Journal provides detailed implementation strategies, governance approaches, and case studies beneficial for public sector technology leaders.
This article presents insights on leveraging API strategies to bridge the gap between private sector digital experiences and public sector services, offering a way to make government agencies more responsive to citizen needs.
Implications of API-based optionality in public institutions extend beyond technology, emphasizing the importance of leadership, financial alignment, and practical strategies for successful transformation.

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Dev

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The Kubernetes platform engineering north star - How to convince your boss that an internal platform accelerates business

An Internal Developer Platform (IDP) simplifies software development by providing standardized templates, automation tools, and monitoring, reducing cognitive load for developers.
Building an IDP requires adhering to best practices to ensure operational excellence and avoid issues like outdated configurations or lack of standardization.
The importance of platform engineering lies in enhancing developer productivity, promoting organizational agility, and ensuring security and compliance within a company.
A successful platform engineering vision includes designing the platform as a product focused on user experience, documentation, self-service capabilities, and reducing cognitive load.
Key components of a target state architecture for an IDP include Infrastructure as Code, GitOps-driven automation, developer self-service, scalable architecture, and platform governance.
Assessing platform maturity using the CNCF Platform Engineering Maturity Model helps evaluate investment, adoption, interfaces, operations, and measurement across different levels.
The path to platform maturity involves three phases: solidifying the foundation, scaling and enhancing features, and optimizing and innovating to foster an experimentation culture.
Convincing leadership to invest in platform engineering requires focusing on business outcomes, showcasing adoption patterns, highlighting the cost of not investing, presenting a phased approach, and using the maturity model as a benchmark.
The journey to platform excellence is gradual and involves strategic planning, continuous improvement, and aligning with organizational needs for successful implementation.
Authors Haofei Feng and Mai Nishitani emphasize the importance of platform engineering for accelerating business value and provide insights on building and maturing Internal Developer Platforms.

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Dev

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How to Use .env Securely in DevOps Projects

When working on modern DevOps projects, managing secrets and environment-specific variables securely is critical.
.env files store environment variables in key-value pairs and are commonly used with tools like Docker, Node.js, Python, and CI/CD pipelines.
To use .env files securely in DevOps projects, follow best practices, including not committing them to Git, using .env.example for structure, and using secret managers in CI/CD.
Additionally, encrypting .env files, setting restrictive access permissions, using environment variables instead of files, and regularly rotating secrets can further enhance security.

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Dev

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How DevOps Solves 10 Everyday Engineering Problems

DevOps is a battle-tested mindset involving automation, collaboration, and effective tooling.
It addresses 10 common engineering problems by implementing practices and tools.
DevOps solves issues like 'It Works on My Machine' through containerization and Kubernetes for consistent environments.
Merge conflicts are managed by CI pipelines and branching strategies, preventing untested changes.
Automated releases using CI/CD pipelines streamline the deployment process and reduce errors.
Infrastructure as Code tools track changes, preventing outages from manual adjustments.
DevOps tackles environment drift, last-minute bugs, security vulnerabilities, and weekend deployments effectively.
Implementation of observability tools enhances visibility into production for real-time issue detection.
DevOps emphasizes smart automation, collaboration, and process hygiene to mitigate production disasters.
Starting small with automation can significantly improve engineering practices and build trust within the team.

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Dev

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Unlock Six-Figure Salaries: Top 20 DevOps Skills You Need in 2025

DevOps in 2025 demands a broad set of skills beyond just coding, including tackling cloud costs, pipeline issues, and outdated tools.
The guide lists 20 essential DevOps skills to excel in 2025, ranging from Linux CLI mastery to cloud-fu, emphasizing skill combinations over mastering everything.
Core DevOps skills include Linux CLI proficiency, Git & version control, CI/CD pipelines automation, scripting languages like Bash and Python, and Infrastructure as Code (IaC) using tools like Terraform.
Cloud skills like Docker, Kubernetes, and understanding various cloud platforms (AWS, GCP, Azure) are highlighted, along with serverless architectures and cloud cost optimization strategies.
Monitoring, security, and observability skills include knowledge of monitoring tools like Prometheus + Grafana, ELK Stack, security automation using tools like Trivy and Vault, and incident response proficiency.
Automation and workflow skills cover configuration management tools like Ansible, automation tools including GitHub Actions and ArgoCD, and workflow orchestration tools like Airflow and Prefect.
Soft skills such as collaboration with development teams, documentation, Agile and Scrum understanding, and business and metrics awareness are also crucial for a well-rounded DevOps professional in 2025.
The article also provides pricing and learning resources, highlighting free resources like Linux Journey and paid resources such as Udemy, A Cloud Guru, Pluralsight, and certification recommendations.
Emphasizing the importance of project-based learning, the article concludes with a strategy guide recommending deepening expertise in core tools, building practical projects, understanding business value, and developing soft skills.

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Dev

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Kubernetes Without Docker: Why Container Runtimes Are Changing the Game in 2025

Kubernetes, as of v1.24, no longer uses Docker as the default container runtime, opting for containerd or CRI-O instead.
Docker images and Dockerfiles still work with Kubernetes, but Docker is no longer used to run containers within Kubernetes.
Docker's dockershim was replaced with containerd and CRI-O, which are more lightweight and compliant with Kubernetes' CRI.
Developers may need to adjust their debugging tools and workflow, as Kubernetes now interacts directly with container runtimes like containerd and CRI-O.
Various container runtimes such as containerd, CRI-O, gVisor, and WasmEdge offer different features like leaner design, better security, and support for WebAssembly.
Developers using Kubernetes should familiarize themselves with tools like nerdctl, podman, and learn about runtime-specific behaviors for effective debugging and deployment.
Cloud providers like AWS, Google, and Azure have migrated to containerd, and developers are advised to align their local development with production runtimes to avoid compatibility issues.
Understanding container runtimes is crucial for modern development practices, impacting areas such as image building, testing, pipeline security, and deployment strategies.
The emergence of WebAssembly, gVisor, and multi-runtime environments signals a shift towards modular, secure, and efficient container deployments in the future.
Developers are encouraged to experiment with new runtimes, optimize CI pipelines, and stay updated on evolving container technologies to stay ahead in the DevOps landscape.
Embracing the runtime future involves transitioning from Docker to containerd, exploring tools like WasmEdge, and adapting to the changing container orchestration ecosystem.

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