Understand the impact of data transfer and egress costs across Microsoft Azure, Amazon Web Services and Google Cloud Platform. One of the questions most frequently asked by cloud-savvy, price-aware customers goes something like this: OK, so we like that your tool makes it easy to integrate our cloud database and storage in our centralized data warehouse, but I know our budget will be scrutinized for total cost of ownership (TCO), including our data egress costs.
In cloud migration, also known as “move to cloud,” you move existing data processing tasks to a cloud platform, such as Amazon Webservices (AWS), Microsoft Azure, or Google Cloud Platform, to private clouds, and-or to hybrid cloud solutions. See our blog post, What is Cloud Migration, for an introduction. Figure 1: Steps in cloud migration.
Cloud migration, also called “move to cloud,” is the process of moving existing data processing tasks to a cloud platform, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Private clouds and hybrid cloud solutions can also serve as destinations.
Running your own Kafka is starting to feel like wading through oatmeal. We’re not the only ones thinking that. The majority of organizations we speak to have or are in the process of moving their Kafka to a managed service. If you’re already an AWS-shop, Managed Streaming for Apache Kafka (MSK) is a no-brainer. It is the same Kafka that we know and love and integrated with other AWS services such as IAM, Cloudwatch, Cloudtrail, KMS, VPC and more.
Understand the impact of data transfer and egress costs across Azure, Amazon Web Services, and Google Cloud platform in data integration One of the most frequent questions asked by cloud-savvy, price-aware customers is something like: Ok, so we like that your tool makes it easy to integrate our cloud database and storage in our centralized data warehouse, but I know our budget will be scrutinized for Total Cost of Ownership (TCO), including our data egress costs.
