Cloud Masters Episode #121
Reducing cloud egress charges: 10 common pitfalls and how to avoid them
We share 10 ways we’ve observed companies overspending on data transfer costs and what you should do instead.
Cloud Masters Episode #121

With DoiT Spot Scaling, automate your AWS Spot Instances to save up to 90% on compute spend without compromising reliability.

Cloud Masters
Cloud Masters
Reducing cloud egress charges: 10 common pitfalls and how to avoid them
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Cloud Masters
Cloud Masters
Reducing cloud egress charges: 10 common pitfalls and how to avoid them
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Episode notes

About the guests

Sayle Matthews
Sayle Matthews is a Google Cloud Data Practice Lead at DoiT International focusing on data solutions. Sayle has a solid track record of designing and implementing efficient solutions to complex problems. Among a myriad of diverse technical knowledge, Sayle is currently acting as one of the leaders in advising customers on optimizing BigQuery for the recently launched Editions pricing models.
Matthew Richardson
Matthew Richardson is a Google Cloud Data Practice Lead at DoiT International specializing in the Data & Analytics space, with certifications across all major cloud providers — Google Cloud, AWS, Azure — as well as Snowflake, DBT, Python, Tableau and SAS. He has deep experience in the use of a variety of Data Engineering, ETL, BI reporting & programming tool sets including the above products plus Matillion, Talend, Cognos, Teradata and Business Objects in addition. Matthew currently works with customers in optimizing their Data Modelling strategies particularly in BigQuery, Redshift or Snowflake, ensuring customers are getting the most out of their data on a consistent basis.
Louis Muller
Louis Muller has over 13 years of demonstrated experience in Analytics, Data Engineering and Solution Architectures. He’s spent the last few years in a consultancy role, helping a wide range of customers from startups and ISVs to FTSE 100 with their analytic workloads in building robust, cost optimized, scalable and well architected workloads in the cloud.
Sayle Matthews is a Google Cloud Data Practice Lead at DoiT International focusing on data solutions. Sayle has a solid track record of designing and implementing efficient solutions to complex problems. Among a myriad of diverse technical knowledge, Sayle is currently acting as one of the leaders in advising customers on optimizing BigQuery for the recently launched Editions pricing models.
Matthew Richardson is a Google Cloud Data Practice Lead at DoiT International specializing in the Data & Analytics space, with certifications across all major cloud providers — Google Cloud, AWS, Azure — as well as Snowflake, DBT, Python, Tableau and SAS. He has deep experience in the use of a variety of Data Engineering, ETL, BI reporting & programming tool sets including the above products plus Matillion, Talend, Cognos, Teradata and Business Objects in addition. Matthew currently works with customers in optimizing their Data Modelling strategies particularly in BigQuery, Redshift or Snowflake, ensuring customers are getting the most out of their data on a consistent basis.
Louis Muller has over 13 years of demonstrated experience in Analytics, Data Engineering and Solution Architectures. He’s spent the last few years in a consultancy role, helping a wide range of customers from startups and ISVs to FTSE 100 with their analytic workloads in building robust, cost optimized, scalable and well architected workloads in the cloud.

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