article thumbnail

Perform Amazon Kinesis load testing with Locust

AWS Big Data

Building a streaming data solution requires thorough testing at the scale it will operate in a production environment. However, generating a continuous stream of test data requires a custom process or script to run continuously. In our testing with the largest recommended instance (c7g.16xlarge),

Testing 81
article thumbnail

Will enterprises soon keep their best gen AI use cases under wraps?

CIO Business Intelligence

Helping software developers write and test code Similarly in tech, companies are currently open about some of their use cases, but protective of others. They now use what they learn about a program to help build unit tests. And unit tests are too tedious for humans to build reliably.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Cloud Technology Helps Students Earn Higher SAT Scores

Smart Data Collective

Education Technology Magazine has published an article on some of the most surprising ways that cloud technology is changing academia. Cloud technology can help students prepare for the test, but they have to use it appropriately. The good news is that cloud technology makes it easier to understand the format of the test.

article thumbnail

Run Kinesis Agent on Amazon ECS

AWS Big Data

We also avoid the implementation details and packaging process of our test data generation application, referred to as the producer. log and publish them to a Kinesis Data Firehose delivery stream called kinesis-agent-demo : { "firehose.endpoint": "firehose.ap-southeast-2.amazonaws.com", southeast-2.amazonaws.com", southeast-2.amazonaws.com/producer:latest",

Testing 97
article thumbnail

A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

Overview of Gartner’s data engineering enhancements article To set the stage for Gartner’s recommendations, let’s give an example of a new Data Engineering Manager, Marcus, who faces a whole host of challenges to succeed in his new role: Marcus has a problem. His company just decided that it needs to get its act together with data.

article thumbnail

Mastering Day 2 Operations with Cloudera

Cloudera

In this blog, we’ll cover the highlights of our recently published Day 2 Operations Guide and why it matters to enterprises. Cloudera offers a multi-faceted approach to health checks, monitoring, and troubleshooting, including: Environment health checks, host-level health checks, data backup, and proactive monitoring and alerting.

article thumbnail

End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue

AWS Big Data

The following are common asks from our customers: Is it possible to develop and test AWS Glue data integration jobs on my local laptop? The software development lifecycle on AWS defines the following six phases: Plan, Design, Implement, Test, Deploy, and Maintain. Test In the testing phase, you check the implementation for bugs.