Is real-time data processing worth it for your analytical use cases?

By Dustin Ward

Real-time processing provides a notable advantage over batch processing — data becomes available to consumers faster. In the traditional ETL, you would not be able to analyze events from today until tomorrow’s nightly jobs would finish. These days, many businesses rely on data being available within minutes, seconds, or even milliseconds. With streaming technologies, we no longer need to wait for scheduled…

Dashbird launches a new version for a smoother serverless observability experience

By Dustin Ward

The new Dashbird app is bringing your data together for a faster, more secure, and smoother observability experience with team collaboration in mind. The enhanced version of the Dashbird app is making your account more secure and your app navigation and data exploration faster, more intuitive, and all-around enjoyable. Additionally, you can now enable multi-factor authentication (MFA) for your Dashbird account. Check…

AWS Kinesis vs SNS vs SQS (with Python examples)

By Dustin Ward

How to choose a decoupling service that suits your use case? In this article we’ll take you though some comparisons between AWS services — Kinesis vs SNS vs SQS — that allow you to decouple sending and receiving data. We’ll show you examples using Python to help you choose a decoupling service that suits your…