DEV Community: Adil Sajid

Kubernetes

Adil Sajid — Thu, 01 Jan 2026 07:39:47 +0000

Kubernetes, at its core, is a distributed system designed to orchestrate containerized workloads across a cluster of nodes. First of all, we have the control components. The control plane is the brain of the Kubernetes cluster, responsible for managing the cluster's state and scheduling workloads. In cloud-managed Kubernetes services, the control plane is often abstracted and maintained by the provider, but CKA candidates must still grasp its components. One of the components is the API Server. It is the entry point for all administrative commands, exposed as a RESTful interface. In the cloud, this is typically highly available and load-balanced.

Why CompTIA PenTest+ PT0-002 Falls Short Compared to PT0-003

Adil Sajid — Wed, 31 Dec 2025 05:33:54 +0000

If you are looking for a promising career in the cybersecurity field, then CompTIA PT0-003 is the latest certification with the most advanced techniques and features. The certification is launched in December 2024, and it covers all the limitations that the CompTIA PT0-002 has. In this article, I am going to discuss the limitations that CompTIA PT0-002 has and a comprehensive analysis of updates in CompTIA PenTest+ PT0-003. Let's continue the discussion to know if it is the best path for you to choose to achieve your goals of learning cybersecurity. On and off, we will discuss how PenTest+ PT0-002 is better than PenTest+ PT0-003. It is a good idea for you not to skip any of the sections of the article to get a better idea.

From Design to Deployment: What an Azure AI Engineer Actually Does

Adil Sajid — Tue, 30 Dec 2025 05:31:42 +0000

As of December 23, 2025, the role of a Microsoft Azure AI Engineer goes far beyond just writing code. It’s about building, deploying, and managing real AI solutions on Azure that actually work in production.
Azure AI engineers are involved in the full lifecycle of an AI solution. From understanding business requirements and designing the approach to development, deployment, integration, ongoing maintenance, and performance optimization, they play a hands-on role at every stage. Monitoring and fine-tuning models over time is just as important as building them.
The role is highly collaborative. Azure AI engineers work closely with solution architects to turn ideas into reality, and they regularly coordinate with data scientists, data engineers, IoT specialists, infrastructure teams, and fellow developers. Together, they create secure, end-to-end AI solutions and embed AI capabilities into larger applications and systems.
From a technical perspective, experience with Python or C# is essential. You’re expected to be comfortable working with REST APIs and SDKs to develop solutions for image and video processing, natural language processing, knowledge mining, and generative AI on Azure.
A strong understanding of the Azure AI ecosystem is also key, including how different AI services fit together and which data storage options make sense for different use cases. Just as importantly, Azure AI engineers are expected to apply responsible AI principles, ensuring solutions are ethical, secure, and trustworthy.

Azure AI Engineer Explained: Skills, Tools, and Responsibilities

Adil Sajid — Tue, 30 Dec 2025 05:26:50 +0000