When it comes to serverless architectures using AWS Lambda, one of the big decisions is how to manage different execution environments such as development (dev), staging, and production (prod). Whether you're a seasoned cloud architect or a serverless novice, this guide illuminates the path to optimized Lambda environment management.
AWS Services
Dive into our actionable guide to tackle AWS's new public IPv4 charges. This blog post discusses the implications of these charges, details optimized practices for various AWS services, and provides strategies to minimize cost impacts.
There are scenarios where you want to delay your Lambda function executions. In this blog post, we will explore four different approaches to defer the execution of AWS Lambda functions.
In this blog post, we will simplify the concept of schema design in DynamoDB by imagining Hashmaps for implementing partition keys and Binary Search Trees for implementing sort keys
Dive into the world of DynamoDB Transactions, a potent tool to ensure data consistency and optimize performance in modern applications. Explore the advantages, mechanics, best practices, and use cases of these transactions.
Handling large objects efficiently is critical in database management. Amazon DynamoDB, a popular NoSQL database, is well-regarded for its performance and scalability. However, when it comes to dealing with large objects, the terrain can get tricky. In this blog post, we’ll explore strategies for mastering the art of handling large objects in DynamoDB.
Learn how TTL can help you manage your data efficiently, save costs, and improve your application's performance. No technical jargon, just a clear and concise explanation for all!
This blog delves into the concept of versioning in Amazon DynamoDB. It elucidates how versioning, a technique for tracking changes in database items, can be implemented in DynamoDB using version attributes and conditional writes. The post also discusses strategies for handling write conflicts and the optional maintenance of historical item versions.