Reduce AWS Data Pipeline
costs with these tips

These proven tips can save you up to 30% on AWS costs!

* Savings are averaged out across customers & services

AWS Data Pipeline cost saving tips Optimize your AWS Data Pipeline costs with these tips

#1

Use On-Demand Pricing

Opt for on-demand pricing for compute resources instead of reserved instances to optimize costs for intermittent usage based on the AWS Data Pipeline documentation.

#2

Auto-Scaling EC2 Resources

Enable automatic scaling of EC2 resources used as data nodes to match capacity with workload, reducing costs by avoiding overprovisioning.

#3

Archive Processed Data

Archive processed data to Amazon S3 Glacier or Glacier Deep Archive for long-term storage. Adjust data lifecycle policies and archive retrieval settings for optimized storage costs.

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“We found that our AWS costs were spiraling out of control. Following Alex his advice we were able to save 60% on costs without compromising performance!”

John Schrijvers
John Schrijvers
CEO of Dataswitcher

Other AWS cost saving tips We also have tips for the following AWS services

About Alex I am your AWS cost saving guru, ready to slash your AWS costs!

As a CTO at various start-ups and scale-ups, I've seen too often how AWS costs can sneak up on you. It used to be something we'd only think about when there was a problem—either it wasn't working like we needed it to, or the expenses were through the roof. I took my know-how in AWS and made it my goal to change that. Now, I use a simple rule to make a big impact: focus on the few changes that make the biggest difference in cutting costs.

I look at your AWS bills with a fine-tooth comb and find where you can save money without losing performance. It's about being smart with your resources and making sure AWS works for you, not against you. By doing this, I help your teams do more with less, and make sure we keep your cloud spending in check.

About AWS Data Pipeline Service information & pricing

About AWS Data Pipeline

AWS Data Pipeline enables efficient and reliable data transfer and processing between AWS services and on-site sources. It facilitates complex data workflows, manages resources, task dependencies, transient failures, and even sends failure notifications. It can handle AWS and on-premise data, ensuring easy pipeline creation via drag-and-drop interfaces or templates. It supports custom tasks and offers features like scheduling and error handling.

↗ More information on AWS website

AWS Data Pipeline pricing

AWS Data Pipeline pricing is based on the frequency and location of your activities and preconditions. High Frequency activities execute more than once a day, while Low Frequency activities run once a day or less. Rates differ for processes running on AWS and on-premises. Inactive pipelines (those in PENDING, INACTIVE, and FINISHED states) also figure in pricing. New AWS customers get 3 Low Frequency preconditions and 5 Low Frequency activities per month for free for a year.

↗ More information on AWS website

Customers I worked for over the years:

Exact Online
Dataswitcher
Airfrance KLM
Troostwijk Auctions
Intuit
mollie