In today's fast-paced world of cloud computing, serverless architecture has emerged as a game-changer for developers seeking efficient and scalable solutions. Amazon Web Services (AWS) offers a powerful combination of services to make serverless development a breeze. One such pairing is Amazon Lambda and Amazon EventBridge, a dynamic duo that
Amazon DynamoDB is a powerful NoSQL database service that offers remarkable scalability and flexibility. As you dive into DynamoDB's capabilities, one aspect that requires careful consideration is the design of indexes. Indexes play a pivotal role in optimizing data access patterns and improving query performance. In this blog post, we'll
Indexes play a pivotal role in optimizing data retrieval and query performance in Amazon DynamoDB. Whether you're new to DynamoDB or seeking to enhance your skills, this blog post will walk you through the ins and outs of creating and effectively managing indexes in this powerful NoSQL database service. Understanding
In Amazon DynamoDB, a Global Secondary Index (GSI) is a powerful feature that allows you to access data in new ways by creating an index with a different partition key and optional sort key from the base table. GSIs provide an efficient and flexible mechanism to query data across different
In Amazon DynamoDB, a Local Secondary Index (LSI) is a powerful feature that expands the query capabilities of your DynamoDB table. LSIs allow you to define alternative sort key attributes within a table, enabling efficient querying based on different criteria. In this section, we'll explore LSIs in DynamoDB, their benefits,
In Amazon DynamoDB, the primary index serves as the default index for every table. It is automatically created when you define a table and plays a fundamental role in data retrieval and organization. Understanding the primary index is essential for effectively working with DynamoDB. In this section, we'll explore the
Indexing plays a vital role in Amazon DynamoDB, enabling efficient data retrieval and improved query performance. By creating indexes on specific attributes, you can enhance the flexibility of your queries and accelerate data access. In this section, we'll provide an introduction to indexing in DynamoDB and explore its significance in
Amazon DynamoDB is a fully managed NoSQL database service offered by AWS. In this tutorial, we'll walk you through the process of creating your first DynamoDB table using the AWS Management Console, AWS CLI and AWS SAM. Creating your DynamoDB table using AWS Console Step 1: Sign in to the
Amazon DynamoDB
In Amazon DynamoDB, the primary key serves as the unique identifier for each item within a table. It is a crucial component of the data model and plays a fundamental role in data retrieval and organization. Understanding the primary key is essential for effectively working with DynamoDB. In this section,
Amazon DynamoDB
In Amazon DynamoDB, modeling relationships between items requires careful consideration and planning. DynamoDB is a NoSQL database, and unlike traditional relational databases, it does not inherently support joins or foreign key relationships. However, you can still effectively model relationships by leveraging different strategies and design patterns. In this section, we'll
Amazon DynamoDB
Designing an effective schema is crucial for achieving optimal performance and scalability in Amazon DynamoDB. A well-designed schema considers factors such as data modeling, access patterns, and performance requirements. In this section, we'll explore key considerations and best practices for designing a schema that maximizes the capabilities of DynamoDB. Understanding
Amazon DynamoDB
In Amazon DynamoDB, attribute types define the nature and format of the data stored within attributes. DynamoDB provides a variety of attribute types to accommodate different data requirements and use cases. By selecting the appropriate attribute types, you can ensure efficient storage, retrieval, and querying of data. In this section,
Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). It is designed to provide fast and predictable performance with seamless scalability for applications that require low-latency, high-performance data storage. DynamoDB is built to handle massive workloads and is capable of scaling horizontally across multiple
Serverless
Amazon EventBridge is a managed serverless event bus that you can use to connect your applications to various data sources. Amazon EventBridge was formerly known as Amazon CloudWatch Events. Any rules created in CloudWatch Events are also displayed in the EventBridge console. Amazon EventBridge has new features which are not
Amazon SNS
Amazon SNS (Simple Notification Service) is a fully managed messaging service that allows you to de-couple and scale for applications. Amazon SNS allows you to have application-to-application (A2A) and application-to-person (A2P) communication.
Serverless
When you are building microservices-based serverless applications, one of the important things will be communication between the services. When we talk about serverless in AWS, the first thing that comes to mind is the AWS Lambda service provided by AWS. In this post we will focus on how do you
AWS Lambda
We have written a few blog posts which talked about AWS Lamda, its introduction and some other areas about how to use it to spin up your API using javascript.
Amazon API Gateway
In our previous post, we talked about how to use the Cognito authorizer to control access to the API Gateway. What if you don't use Cognito or want to implement your custom logic to figure out whether the user can have access to your services or not. This is where
Amazon API Gateway
In the previous post, we talked about the various ways you can use to manage access to the REST API [https://awsmag.com/how-to-manage-access-to-rest-api-in-amazon-api-gateway/]. One of those ways was using Cognito User Pool authorization. If you are using Amazon Cognito to control the identity management for your applications, the API
Amazon API Gateway
Amazon API Gateway [https://awsmag.com/introduction-to-api-gateway/] is a fully managed service that helps developers to create and deploy scalable APIs on AWS. These APIs act as an entry point for the applications to connect and get access to data, perform business logic or access any other AWS service. In
Amazon DynamoDB
Amazon DynamoDB, a fully managed NoSQL database service, is designed for lightning-fast and scalable data storage. Whether you're a developer working on a small project or a large-scale application, knowing how to write and update data efficiently in DynamoDB is crucial. In this comprehensive guide, we'll explore the ins and
Amazon DynamoDB
DynamoDB, Amazon's fully managed NoSQL database service, offers incredible flexibility and scalability for developers. But to harness its full potential, understanding how to query your data efficiently is paramount. In this comprehensive guide, we will delve into the intricacies of querying data in DynamoDB, focusing on primary keys and indexes.
AWS Lambda
In today's fast-paced world of cloud computing, serverless architecture has emerged as a game-changer for developers seeking efficient and scalable solutions. Amazon Web Services (AWS) offers a powerful combination of services to make serverless development a breeze. One such pairing is Amazon Lambda and Amazon EventBridge, a dynamic duo that
Amazon DynamoDB
In Amazon DynamoDB, provisioned throughput is a key concept that determines the performance and scalability of your DynamoDB tables. It is essential to understand the concept of capacity units, as they play a crucial role in optimizing the read and write operations of your application. In this section, we'll explore
Amazon DynamoDB
Amazon DynamoDB is a powerful NoSQL database service that offers remarkable scalability and flexibility. As you dive into DynamoDB's capabilities, one aspect that requires careful consideration is the design of indexes. Indexes play a pivotal role in optimizing data access patterns and improving query performance. In this blog post, we'll
Amazon DynamoDB
Indexes play a pivotal role in optimizing data retrieval and query performance in Amazon DynamoDB. Whether you're new to DynamoDB or seeking to enhance your skills, this blog post will walk you through the ins and outs of creating and effectively managing indexes in this powerful NoSQL database service. Understanding
Amazon DynamoDB
In Amazon DynamoDB, a Global Secondary Index (GSI) is a powerful feature that allows you to access data in new ways by creating an index with a different partition key and optional sort key from the base table. GSIs provide an efficient and flexible mechanism to query data across different
Amazon DynamoDB
In Amazon DynamoDB, a Local Secondary Index (LSI) is a powerful feature that expands the query capabilities of your DynamoDB table. LSIs allow you to define alternative sort key attributes within a table, enabling efficient querying based on different criteria. In this section, we'll explore LSIs in DynamoDB, their benefits,
Amazon DynamoDB
In Amazon DynamoDB, the primary index serves as the default index for every table. It is automatically created when you define a table and plays a fundamental role in data retrieval and organization. Understanding the primary index is essential for effectively working with DynamoDB. In this section, we'll explore the
Amazon DynamoDB
Indexing plays a vital role in Amazon DynamoDB, enabling efficient data retrieval and improved query performance. By creating indexes on specific attributes, you can enhance the flexibility of your queries and accelerate data access. In this section, we'll provide an introduction to indexing in DynamoDB and explore its significance in
Amazon DynamoDB
Amazon DynamoDB is a fully managed NoSQL database service offered by AWS. In this tutorial, we'll walk you through the process of creating your first DynamoDB table using the AWS Management Console, AWS CLI and AWS SAM. Creating your DynamoDB table using AWS Console Step 1: Sign in to the
Amazon DynamoDB
In Amazon DynamoDB, the primary key serves as the unique identifier for each item within a table. It is a crucial component of the data model and plays a fundamental role in data retrieval and organization. Understanding the primary key is essential for effectively working with DynamoDB. In this section,