AWS Compute Blog
Category: Amazon CloudWatch
Monitoring and troubleshooting serverless data analytics applications
In this post, I show how the existing settings in the Alleycat application are not sufficient for handling the expected amount of traffic. I walk through the metrics visualizations for Kinesis Data Streams, Lambda, and DynamoDB to find which quotas should be increased.
Building well-architected serverless applications: Managing application security boundaries – part 1
This series of blog posts uses the AWS Well-Architected Tool with the Serverless Lens to help customers build and operate applications using best practices. In each post, I address the serverless-specific questions identified by the Serverless Lens along with the recommended best practices. See the introduction post for a table of contents and explanation of the example application. Security question SEC2: […]
Exploring serverless patterns for Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless NoSQL database. In this post, you learn about the different DynamoDB patterns used in serverless applications, and use the recently launched Serverless Patterns Collection to configure DynamoDB as an event source for AWS Lambda. Benefits of using DynamoDB as a serverless developer DynamoDB is a serverless service that automatically […]
Monitoring memory usage in Amazon Lightsail instance
This post is written by Sebastian Lee, Solution Architect, Startup Singapore. Amazon Lightsail is a great starting point for those looking to get started on AWS. Lightsail is ideal for startups, SMBs, and hobbyist developers because it simplifies the deployment of instances, databases, load-balancers, CDNs, and even containers. However, you cannot track metrics beyond CPU […]
Operating Lambda: Isolating and resolving issues
This blog post outlines a general approach to debugging Lambda performance issues and errors. This provides a repeatable process for isolating and resolving problems in your serverless workloads. Using the walkthrough of the Coffee Lookup application, I show how to reproduce a production bug, isolate the cause of errors, and then isolate the performance issue.
Operating Lambda: Logging and custom metrics
Many existing monitoring and observability concepts also apply to Lambda-based applications. This post introduces key terms, application performance monitoring, with broad metrics can be useful for monitoring workloads.
Operating Lambda: Using CloudWatch Logs Insights
CloudWatch Logs Insights allows you to search and analyze log data to find the causes of issues and help validate fixes when they are deployed. This post shows how to enable the feature for a Lambda function and search across logs. It explains why structured logging can be helpful for parsing data in analysis.
Operating Lambda: Debugging configurations – Part 3
This post explains common integration errors in Lambda-based applications. These include running an unintended version or alias of a function, triggering infinite loops unintentionally, and issues with downstream availability. In each case, I explain steps you can take to remediate the issue.
Operating Lambda: Debugging configurations – Part 2
This is the second post in a series on debugging Lambda-based applications. This post shows how to identify and resolve memory and CPU-bound functions, and how to understand and use timeouts effectively in production applications.
Managing domain membership of dynamic fleet of EC2 instances
This post is written by Alex Zarenin, Senior AWS Solution Architect, Microsoft Tech. Updated: February 10, 2021 1. Introduction For most companies, a move of Microsoft workloads to AWS starts with “lift and shift” where existing workloads are moved from the on-premises data centers to the cloud. These workloads may include WEB and API farms, […]