Lokesh Learning Journals

 It has been a while since I had blogged. I took the month the may as a break from my routine of studying DevOps (the devops bootcamp) and focus on getting some certifications instead. I focused on the Claude Architect - Foundations exam and the AWS Data Engineer exam. Happy to say that I passed both of them.     I took these exams because for one, I could claim for them from my company, they were fully paid and the second reason was because I want to show some relevant achievement to my work.  I took the break from my routine to get these certifications and am happy that I achieved them. Though, not by a large margin; though, I was under a lot of commitments and changes, I managed to do it.  It is not easy. It is not easy to balance, work, studies and family. I managed to pull this off due to time and effort I put in. But, in all honesty, I could have done better.  I could have put in more effort by studying while I was on commute to and from work. I could...

Terraform is the industry-standard tool for Infrastructure as Code (IaC).  Infrastructure as Code (IaC) is the process of managing and provisioning computer data centers through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools. In this article, we will look into: what is Terraform, how to configure your AWS credentials, and a comprehensive guide to the core Terraform commands used in professional workflows. Setting Up: AWS Configure Before Terraform can manage your resources in the cloud, it needs permission to communicate with your AWS account. You must install the AWS CLI and configure it. Install AWS CLI: Ensure you have the AWS CLI installed on your machine. Run Configure: Execute the following command in your terminal: aws configure Provide Credentials: Enter your Access Key ID, Secret Access Key, region (e.g., us-east-1), and preferred output format (usually json). Once completed, Terraform will automatically de...

 The Claude Architect path is designed to move you beyond basic prompting into the realm of professional AI architecture. It bridges the gap between high-level conceptual understanding and technical deployment.Recommended Learning Path: Foundations: Mastering the "AI Fluency" framework and mindset. Claude 101: Deep dive into Claude’s unique capabilities. Infrastructure: Integrating Claude with AWS Bedrock and GCP Vertex AI. Development: Building with the Claude API and exploring the Model Context Protocol (MCP). Practical Application: Putting it all together with Claude Code in real-world development scenarios. In this article, we will look into: What is AI Fluency? How does the Claude Architect framework shift your mindset from viewing AI as a simple tool to a collaborative partner? And what are the core pillars of effective, ethical, and safe AI interaction? Decoding AI Fluency Many view AI as a "hammer"—a tool you pick up to hit a nail and put down. AI Fluency ...

Cloud computing has transformed how we build, deploy, and manage applications. At the center of this transformation is Amazon Web Services (AWS), the world’s most comprehensive and broadly adopted cloud platform. This guide provides a concise overview of the core components that make up the AWS ecosystem. In this article, we will look into the fundamental questions that define your journey with the AWS Cloud:  What is compute, and how do you choose between virtual machines, containers, or serverless options? How does networking define the structure of your virtual environment? What are the differences between block, file, and object storage, and which one does your application need? Finally, how do you determine which database solution—relational or purpose-built—is the right fit for your specific use case? 1. The Foundation: Regions and Security Every cloud application relies on physical infrastructure—data centers and network connectivity. AWS organizes these into Regions , which...

Data has always been dubbed as the "new oil". A very fitting anology. Just as with oil, data is useless  and even dangerous in its raw form.  Just like with oil, which needs to  be refined, transported safely, and delivered to the right place at the right time in order to useful, data must go through the similar process. This is where the Data Engineer comes in. While Data Scientists are like chefs who create a masterpiece meal (the insights and AI models), Data Engineers are the architects and contractors who build the industrial kitchen. They ensure the water lines are pressurised, the electricity is stable, and the ingredients arrive fresh and sorted every morning. In this article, we will have a quick look into:  What is data engineering? what are data pipelines? what is ETL and ELT? why is data quality important? etc. 1. The Core Mission: Building the Pipes The primary responsibility of a data engineer is to build the infrastructure and reliability required f...

Docker is a open-source platform that has revolutionized how we build, ship, and run applications by introducing a standardised way to package software.  In this article, we will look into:  what is a container? How are docker containers and images different? How are containers and virtual machines different? And deep dive into Docker. 1. What is a Container? At its core, a container is a way to package an application along with all its necessary dependencies, libraries, and configurations. It serves as a portable artifact that can be easily shared and moved across different environments—from a developer's laptop to a testing server and finally to production—without any changes in behavior. Where do containers live? Containers are stored in repositories . DockerHub : The primary public repository for sharing Docker images. Private Repositories : Most companies maintain their own private registries to secure proprietary code. How containers Improve the Development Process?...