Category: Amazon EventBridge

When clients start running queries on new Amazon Aurora replicas, they will notice a longer runtime for the first few times that queries are run; this is due to the cold cache of the replica. As the database runs more queries, the cache gets populated and the clients notice faster runtimes. In this post, we focus on how to address the cold cache so clients that are connecting through a load-balanced endpoint get a consistent experience regardless of whether the replicas are automatically or manually scaled. In addition, we also look at other caching solutions such as Amazon ElastiCache, a fully managed Memcached, Redis, and Valkey compatible service, that can further improve the overall experience for latency-sensitive applications and, in some situations (such as higher cache hits), lead to less frequent auto-scaling events of the Aurora read replicas.

Amazon RDS provides different instance types optimized to fit different relational database use cases. You can modify provisioned instances manually from the Amazon RDS console or using an API. When modifications need to be done on a recurring basis, such as scaling an instance up and down during predefined periods of time, you can automate the task using EventBridge Scheduler and Lambda. In this post, we present a solution using Amazon EventBridge Scheduler and AWS Lambda that allows you to schedule a programmatic modification of a DB instance with specific tags.

A primary reason companies move their workloads to AWS is because of cost. With AWS, cloud migration and application modernization plans are based on your business needs and not agreements or licensing. You can acquire technology on an as-needed basis, only paying for the resources you use. You can build modern, scalable applications on AWS […]

Amazon Timestream for LiveAnalytics is a fast, scalable, and serverless time-series database that makes it straightforward and cost-effective to store and analyze trillions of events per day. You can use Timestream for LiveAnalytics for use cases like monitoring hundreds of millions of Internet of Things (IoT) devices, industrial equipment, gaming sessions, streaming video sessions, financial, […]

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. In traditional databases, you have to spend more time performing administration, backup, patching, capacity planning, version upgrades, new server provisioning, and recovery tasks. You have to manually perform all these activities with an expert […]

Large customer database infrastructures are often deployed with Amazon Relational Database Service (Amazon RDS), which includes various engine types such as Oracle, SQL Server, MySQL, MariaDB, and PostgreSQL. Monitoring is an important part of maintaining the reliability, availability, and performance of Amazon RDS and your AWS solutions. To debug multi-point failures, we recommend that you collect monitoring data from all parts […]

Customers developing software as a service (SaaS) applications often need to send outgoing webhooks (HTTP call-backs in response to events) to other SaaS applications such as Salesforce, Marketo, or ServiceNow. When processing webhooks, you often have to implement custom logic or services to enqueue and emit these events. This introduces additional complexity and operational overhead. […]

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Traditional relational databases require time spent on capacity planning, maintenance, backup, and recovery; a substantial amount of a database administrator’s time is lost to these tasks. Amazon RDS helps DBAs to focus on other […]

When you want to migrate on-premises database workloads with jobs to AWS, you need to select the right AWS services to schedule the jobs. Database administrators traditionally schedule scripts to run against databases using the system cron on the host where the database is running. When you migrate such workloads from on premises to a […]

In this post, we show you how to integrate Amazon DocumentDB with Amazon ES so you can run full text search queries over your Amazon DocumentDB data. Specifically, we show you how to use an AWS Lambda function to stream events from your Amazon DocumentDB cluster’s change stream to an Amazon ES domain so you can run full text search queries on the data.