Kubernetes has become the industry-standard platform for deploying and managing containerized applications. Its popularity is well-earned, offering capabilities like self-healing, automated scaling, and zero-downtime deployments. But many developers hit a wall when moving from sandbox environments to real-world production setups. This post aims to simplify that jump by breaking down what Kubernetes is, how to use it, and the essential hardware and configuration needed for a reliable production deployment.
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Non-Relational Databases and the Design Dilemma: Single Table or Multi Table?
Non-relational databases have changed how developers think about data modeling. Among them, Amazon DynamoDB stands out for its speed, scalability, and serverless simplicity. This post explores the core ideas behind non-relational databases, explains the philosophies and tradeoffs of single-table versus multi-table designs in DynamoDB, and offers clear conventions and examples to guide implementation.
From Idea to App: Going Serverless with AWS
Startups and solo developers are often faced with the same challenge: how to build robust, scalable systems without draining their limited resources. Traditional cloud services offer power, but can be overkill — both in terms of complexity and cost. This is where serverless technology shines. In this post, we’ll look at how combining the Serverless Framework, AWS Lambda, and DynamoDB creates a lean, efficient stack. We’ll also examine why Aurora Serverless (particularly v2) may not be the best fit for budget-conscious builders, and when a cheap VPS still makes sense for relational workloads.