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.

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.

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.

The push to embrace cloud-based technologies has undoubtedly transformed IT infrastructures at every level of government. Federal, state, and local agencies have made significant strides in modernizing how data is collected, stored, and analyzed, all in service of their mission and in fulfillment of strategic IT mandates.

Kong Enterprise is a service connectivity platform that provides technology teams with the architectural freedom to build, operate, observe, and secure APIs and services anywhere. From Kong’s inception, we’ve been aligned with Amazon Web Services (AWS), enabling our customers to quickly and efficiently deploy Kong on their AWS accounts. As companies move from monolithic to microservice applications and beyond, Kong helps teams manage this transition.

Unravel Data helps a lot of customers move big data operations to the cloud. Chris Santiago is Global Director of Solution Engineering here at Unravel. So Unravel, and Chris, know a lot about what can make these migrations fail. Chris and intrepid Unravel Data marketer Quoc Dang recently delivered a webinar, Reasons why your Big Data Cloud Migration Fails and Ways to Overcome. You can view the webinar now, or read on to learn more about how to overcome these failures.