S2E01 - Scaling Your Data Infrastructure with AWS's Jon Hammant
Are you unknowingly overspending on cloud data infrastructure?
Many businesses migrate to the cloud expecting cost savings and efficiency, but hidden costs, vendor lock-in, and inefficient ETL processes often result in ballooning expenses. Without a strategic approach, organisations risk wasting budget on unnecessary compute, storage, and manual data management.
What You’ll Learn in This Episode
In this episode of Data Matas, host Aaron Phethean speaks with Jon Hammant, Head of Compute for UK & Ireland at AWS, about the true cost of scaling data infrastructure and how businesses can optimise cloud spend. Jon shares his insights on avoiding pricing traps, reducing data migration costs, and leveraging AI-driven automation to improve efficiency.
Key Insights & Timestamps
1. - Reducing unnecessary data syncing to cut costs
Real-time syncing is often overused, leading to excessive compute costs. Discover how batch processing can reduce ETL expenses by up to 50%.
2. - Conducting cloud audits to eliminate waste
Many organisations pay for idle compute and unused storage without realising it. Learn how to audit cloud usage and remove unnecessary expenses.
3. - Avoiding vendor lock-in and costly renewal contracts
Row-based ETL pricing can trap businesses into increasing costs as data volumes grow. Find out how switching to usage-based pricing can provide more control over cloud spend.
4. - Automating data management with AI
Manual ETL processes drain resources and increase operational costs. Learn how AI-driven automation can streamline workflows, reduce errors, and improve efficiency.
About Jon Hammant
Jon Hammant is the Head of Compute for UK & Ireland at AWS, where he helps businesses optimise cloud infrastructure, modernise data strategies, and reduce operational costs. With extensive experience in AI, cloud computing, and high-performance networking, Jon has worked with some of the world’s largest enterprises to scale data infrastructure efficiently without unnecessary spend.
Subscribe & Join the Conversation
If you're looking to optimise cloud spend, reduce migration costs, or navigate vendor pricing models, this episode is for you.
🔔 Subscribe to Data Matas to get the latest insights on cloud cost optimisation, data infrastructure, and AI-driven efficiency.
Resources & Links
📌 Jon Hammant on LinkedIn: https://www.linkedin.com/in/jhammant/
📌 Matatika Podcast & Resources: https://www.matatika.com/podcasts/s2e1-scaling-your-data-infrastructure-with-jon-hammant
Many businesses migrate to the cloud expecting cost savings and efficiency, but hidden costs, vendor lock-in, and inefficient ETL processes often result in ballooning expenses. Without a strategic approach, organisations risk wasting budget on unnecessary compute, storage, and manual data management.
What You’ll Learn in This Episode
In this episode of Data Matas, host Aaron Phethean speaks with Jon Hammant, Head of Compute for UK & Ireland at AWS, about the true cost of scaling data infrastructure and how businesses can optimise cloud spend. Jon shares his insights on avoiding pricing traps, reducing data migration costs, and leveraging AI-driven automation to improve efficiency.
Key Insights & Timestamps
1. - Reducing unnecessary data syncing to cut costs
Real-time syncing is often overused, leading to excessive compute costs. Discover how batch processing can reduce ETL expenses by up to 50%.
2. - Conducting cloud audits to eliminate waste
Many organisations pay for idle compute and unused storage without realising it. Learn how to audit cloud usage and remove unnecessary expenses.
3. - Avoiding vendor lock-in and costly renewal contracts
Row-based ETL pricing can trap businesses into increasing costs as data volumes grow. Find out how switching to usage-based pricing can provide more control over cloud spend.
4. - Automating data management with AI
Manual ETL processes drain resources and increase operational costs. Learn how AI-driven automation can streamline workflows, reduce errors, and improve efficiency.
About Jon Hammant
Jon Hammant is the Head of Compute for UK & Ireland at AWS, where he helps businesses optimise cloud infrastructure, modernise data strategies, and reduce operational costs. With extensive experience in AI, cloud computing, and high-performance networking, Jon has worked with some of the world’s largest enterprises to scale data infrastructure efficiently without unnecessary spend.
Subscribe & Join the Conversation
If you're looking to optimise cloud spend, reduce migration costs, or navigate vendor pricing models, this episode is for you.
🔔 Subscribe to Data Matas to get the latest insights on cloud cost optimisation, data infrastructure, and AI-driven efficiency.
Resources & Links
📌 Jon Hammant on LinkedIn: https://www.linkedin.com/in/jhammant/
📌 Matatika Podcast & Resources: https://www.matatika.com/podcasts/s2e1-scaling-your-data-infrastructure-with-jon-hammant