Category: Amazon CloudWatch

Amazon Redshift is a fast, scalable, secure, and fully-managed cloud data warehouse that makes it simple and cost-effective to analyze all of your data using standard SQL. Amazon Redshift has comprehensive security capabilities to satisfy the most demanding requirements. To help you to monitor the database for security and troubleshooting purposes, Amazon Redshift logs information […]

Amazon QuickSight is a fully-managed, cloud-native business intelligence (BI) service that makes it easy to connect to your data, create interactive dashboards, and share these with tens of thousands of users, either within the QuickSight interface or embedded in software as a service (SaaS) applications or web portals. With QuickSight providing insights to power your […]

The volume of data being generated globally is growing at an ever-increasing pace. Data is generated to support an increasing number of use cases, such as IoT, advertisement, gaming, security monitoring, machine learning (ML), and more. The growth of these use cases drives both volume and velocity of streaming data and requires companies to capture, […]

This post is co-written with Noah Mundahl, Director of Public Cloud Engineering at United Health Group. Update (12/1/2021): Amazon Kinesis Data Streams On-Demand mode is now the recommended way to natively auto scale your Amazon Kinesis Data Streams. In this post, we cover a solution to add auto scaling to Amazon Kinesis Data Streams. Whether […]

Thousands of developers use Apache Flink to build streaming applications to transform and analyze data in real time. Apache Flink is an open-source framework and engine for processing data streams. It’s highly available and scalable, delivering high throughput and low latency for the most demanding stream-processing applications. Monitoring and scaling your applications is critical to […]

This post demonstrates how to implement a simple SparkListener, monitor and observe Spark streaming applications, and set up some alerts. The post also shows how to use alerts to set up automatic scaling on Amazon EMR clusters, based on your CloudWatch custom metrics.

Many customers use Amazon EMR to run big data workloads, such as Apache Spark and Apache Hive queries, in their development environment. Data analysts and data scientists frequently use these types of clusters, known as analytics EMR clusters. Users often forget to terminate the clusters after their work is done. This leads to idle running […]

Today, data is flowing from everywhere, whether it is unstructured data from resources like IoT sensors, application logs, and clickstreams, or structured data from transaction applications, relational databases, and spreadsheets. Data has become a crucial part of every business. This has resulted in a need to maintain a single source of truth and automate the […]

A customer has been successfully creating and running multiple Amazon Elasticsearch Service (Amazon ES) domains to support their business users’ search needs across products, orders, support documentation, and a growing suite of similar needs. The service has become heavily used across the organization. This led to some domains running at 100% capacity during peak times, while others began to run low on storage space. Because of this increased usage, the technical teams were in danger of missing their service level agreements. They contacted me for help.

This post shows how you can set up automated alarms to warn when domains need attention.

This solution provides a serverless approach to automatically assigning a friendly name for your EMR cluster for easy access to popular notebooks and other web interfaces.