AWS Big Data Blog

Category: Learning Levels

Optimizing Amazon OpenSearch Service performance: Fine-tuning shard size with Amazon CloudWatch storage and shard skew health

In this post, we explore how to deploy Amazon CloudWatch metrics using an AWS CloudFormation template to monitor an OpenSearch Service domain’s storage and shard skew, as well as shard sizes. This solution uses an AWS Lambda function to extract storage and shard distribution metadata from your OpenSearch Service domain, calculates the level of skew and shard sizes, and then pushes this information to CloudWatch metrics so that you can easily monitor, alert, and respond. This information will help you to meet the recommended settings for read and write throughput, performance, and fault tolerance.

Try semantic search with the Amazon OpenSearch Service vector engine

Amazon OpenSearch Service has long supported both lexical and vector search, since the introduction of its kNN plugin in 2020. With recent developments in generative AI, including AWS’s launch of Amazon Bedrock earlier in 2023, you can now use Amazon Bedrock-hosted models in conjunction with the vector database capabilities of OpenSearch Service, allowing you to implement semantic search, retrieval augmented generation (RAG), recommendation engines, and rich media search based on high-quality vector search. The recent launch of the vector engine for Amazon OpenSearch Serverless makes it even easier to deploy such solutions.

Introducing AWS Glue crawler and create table support for Apache Iceberg format

Apache Iceberg is an open table format for large datasets in Amazon Simple Storage Service (Amazon S3) and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time […]

Derive operational insights from application logs using Automated Data Analytics on AWS

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. ADA offers an AWS-native data analytics platform that is ready to use out of the box by data analysts for a variety of use […]

Introducing Apache Airflow version 2.6.3 support on Amazon MWAA

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that makes it simple to set up and operate end-to-end data pipelines in the cloud. Trusted across various industries, Amazon MWAA helps organizations like Siemens, ENGIE, and Choice Hotels International enhance and scale their business workflows, while significantly improving security […]

Perform Amazon Kinesis load testing with Locust

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Building a streaming data solution requires thorough testing at the scale it will operate in a production environment. Streaming applications operating at scale often handle large volumes of up to GBs per […]

Monitor data pipelines in a serverless data lake

AWS serverless services, including but not limited to AWS Lambda, AWS Glue, AWS Fargate, Amazon EventBridge, Amazon Athena, Amazon Simple Notification Service (Amazon SNS), Amazon Simple Queue Service (Amazon SQS), and Amazon Simple Storage Service (Amazon S3), have become the building blocks for any serverless data lake, providing key mechanisms to ingest and transform data […]

Configure SAML federation for Amazon OpenSearch Serverless with Okta

Modern applications apply security controls across many systems and their subsystems. Keeping all of these systems in sync would be a major undertaking if you tried to implement it separately. Centralized identity management is the way to maintain a single identity provider (IdP) that can authenticate actors and manage and distribute their rights. OpenSearch is […]

Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more […]

Configure cross-Region table access with the AWS Glue Catalog and AWS Lake Formation

Today’s modern data lakes span multiple accounts, AWS Regions, and lines of business in organizations. Companies also have employees and do business across multiple geographic regions and even around the world. It’s important that their data solution gives them the ability to share and access data securely and safely across Regions. The AWS Glue Data […]