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Instrumenting your Application with AWS X-Ray

2023-08-14T02:52:58+00:00

Bookmarks Instrumenting your Node.js application Instrumenting your Java application Instrumenting your C# .Net application Instrumenting your Python application Instrumenting your Go application Instrumenting your Node.js application The AWS X-Ray SDK for Node.js provides middleware that you can use to instrument incoming HTTP requests. You need to add the SDK to your application’s dependencies, usually via package.json. Initialize the SDK client and add it to your application prior to declaring routes. var AWSXRay = require('aws-xray-sdk'); AWSXRay.setDaemonAddress('host:port'); app.use(AWSXRay.express.openSegment('MyApp'));       3. Lastly, use the SDK exceptions after declaring routes. app.get('/', function (req, res) [...]

Instrumenting your Application with AWS X-Ray2023-08-14T02:52:58+00:00

Calculating the Required Read and Write Capacity Unit for your DynamoDB Table

2021-05-04T09:10:25+00:00

Read Capacity Unit On-Demand Mode When you choose on-demand mode, DynamoDB instantly accommodates your workloads as they ramp up or down to any previously reached traffic level. If a workload’s traffic level hits a new peak, DynamoDB adapts rapidly to accommodate the workload. The request rate is only limited by the DynamoDB throughput default table limits, but it can be raised upon request. For on-demand mode tables, you don't need to specify how much read throughput you expect your application to perform. DynamoDB charges you for the reads that your application performs on your tables in terms of read request [...]

Calculating the Required Read and Write Capacity Unit for your DynamoDB Table2021-05-04T09:10:25+00:00

AWS Lambda Integration with Amazon DynamoDB Streams

2021-05-03T13:23:37+00:00

Amazon DynamoDB is integrated with AWS Lambda so that you can create triggers, which are pieces of code that automatically respond to events in DynamoDB Streams. With triggers, you can build applications that react to data modifications in DynamoDB tables. After you enable DynamoDB Streams on a table, associate the DynamoDB table with a Lambda function. AWS Lambda polls the stream and invokes your Lambda function synchronously when it detects new stream records.  Configure the StreamSpecification you want for your DynamoDB Streams: StreamEnabled (Boolean) - indicates whether DynamoDB Streams is enabled (true) or disabled (false) on the table. StreamViewType (string) [...]

AWS Lambda Integration with Amazon DynamoDB Streams2021-05-03T13:23:37+00:00

Kinesis Scaling, Resharding and Parallel Processing

2023-03-20T03:29:22+00:00

Kinesis Resharding enables you to increase or decrease the number of shards in a stream in order to adapt to changes in the rate of data flowing through the stream. Resharding is always pairwise. You cannot split into more than two shards in a single operation, and you cannot merge more than two shards in a single operation. The Kinesis Client Library (KCL) tracks the shards in the stream using an Amazon DynamoDB table, and adapts to changes in the number of shards that result from resharding. When new shards are created as a result of resharding, the KCL discovers [...]

Kinesis Scaling, Resharding and Parallel Processing2023-03-20T03:29:22+00:00

DynamoDB Scan vs Query

2023-01-30T13:33:00+00:00

Scan The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. The total number of scanned items has a maximum size limit of 1 MB. Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation. Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as [...]

DynamoDB Scan vs Query2023-01-30T13:33:00+00:00

ECS Task Placement Strategies

2023-02-17T06:36:28+00:00

A task placement strategy is an algorithm for selecting instances for task placement or tasks for termination. When a task that uses the EC2 launch type is launched, Amazon ECS must determine where to place the task based on the requirements specified in the task definition, such as CPU and memory. Similarly, when you scale down the task count, Amazon ECS must determine which tasks to terminate.  A task placement constraint is a rule that is considered during task placement. You can use constraints to place tasks based on Availability Zone or instance type.  You can also associate attributes, which [...]

ECS Task Placement Strategies2023-02-17T06:36:28+00:00

AWS Serverless Application Model (SAM)

2025-11-26T12:17:38+00:00

Bookmarks When to Use SAM Overview of Syntax Commonly Used SAM CLI Commands Controlling Access to APIs AWS Serverless Application Model (SAM) Cheat Sheet AWS Serverless Application Model (AWS SAM) is an open-source framework for building serverless applications. It provides a shorthand syntax to express functions, APIs, databases, and event source mappings. It is an extension of AWS CloudFormation, meaning any resource declared in a SAM template is transformed into standard CloudFormation resources during deployment. You create a JSON or YAML configuration template to model your applications.  During deployment, SAM transforms and expands [...]

AWS Serverless Application Model (SAM)2025-11-26T12:17:38+00:00

Amazon MQ

2023-07-25T09:15:44+00:00

Bookmarks Features Brokers Configuration Security and Monitoring Pricing Amazon MQ Cheat Sheet AWS offering for a managed message broker service for Apache ActiveMQ. Message brokers allow different software systems–often using different programming languages, and on different platforms–to communicate and exchange information. Amazon MQ also supports RabbitMQ, a popular open-source message broker. Migrate your existing RabbitMQ message brokers to AWS without having to rewrite code. Features Amazon MQ uses industry-standard APIs and protocols for messaging, including Java Message Service (JMS), .NET Message Service (NMS), AMQP, STOMP, MQTT, OpenWire, and WebSocket. Amazon MQ manages [...]

Amazon MQ2023-07-25T09:15:44+00:00

AWS X-Ray

2025-11-12T08:57:05+00:00

Bookmarks Concepts Features How X-Ray Works Pricing AWS X-Ray-related Cheat Sheets Validate Your Knowledge AWS X-Ray Cheat Sheet AWS X-Ray analyzes and debugs production, distributed applications, such as those built using a microservices architecture. With X-Ray, you can identify performance bottlenecks, edge case errors, and other hard to detect issues. Concepts A segment provides the name of the compute resources running your application logic, details about the request sent by your application, and details about the work done. A segment can break down the data about the work done into subsegments. [...]

AWS X-Ray2025-11-12T08:57:05+00:00

AWS Step Functions

2025-11-22T09:13:33+00:00

Bookmarks Concepts Features Standard vs. Express Workflow How Step Functions Work Common Use Cases AWS Step Functions Cheat Sheet AWS Step Functions is a web service that provides serverless orchestration for modern applications. It enables you to coordinate the components of distributed applications and microservices using visual workflows. Concepts Step Functions are based on the concepts of tasks and state machines. A task performs work by using an activity or an AWS Lambda function, or by passing parameters to the API actions of other services. A finite state machine can express an [...]

AWS Step Functions2025-11-22T09:13:33+00:00

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