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Striim’s Latest Webinar – Cloud Adoption: How Streaming Integration Minimizes Risks
Liberating your data
Cloud computing has seen fast growth in adoption over the last decade. Now, with the pandemic-impacted business environment, organizations are accelerating and expanding their cloud adoption paths. It is not surprising at all. They need to re-invent their business operations to survive. How they engage with customers, how they will minimize costs through operational optimizations are all extra-vital now.
Those business transformations require cost-efficient and easily scalable (up and down) access to modern technologies. Many organizations look to cloud service providers for access to modern analytics and other business solutions. However, in considering leveraging clouds for data storage and analytics, questions soon arise over how best to move data to the cloud without incurring business disruptions, data loss, security, and system instability risks.
Cloud migration and ongoing integration for hybrid cloud architecture was the topic of a May 7 Striim webinar, Cloud Adoption: How Streaming Integration Minimizes Risks. In this webinar discussion centered on how best to eliminate database downtime and minimize other risks of cloud migration and ongoing integration for hybrid cloud architecture. If you missed participating in the webinar, we recommend you watch the full webinar on-demand to access details on the solution architecture, its comparison to batch ETL approach, customer examples, the live demonstration, and the interactive Q&A section that followed.
Striim’s CTO and co-founder Steve Wilkes started the webinar by addressing the importance of cloud adoption for today’s highly-fragile business environment. He explained the common risks of cloud data migration and how streaming data integration with low-impact change data capture minimizes both downtime and risks. Steve then broke the webinar into three areas a summary of which follows:
- Cloud adoption brings multiple challenges and risks that prevent many businesses from modernizing their business-critical systems.
Downtime and data loss are common risks, but not the only ones. Steve emphasized the point that “rushing the testing of the new environment to reduce the downtime, if you cannot continually feed data, can also lead to failures down the line or problems with the application.” Later, he added that “Beyond the migration, how do you continually feed the system? Especially in integration use cases where you are maintaining the data where it was and also delivering somewhere else, you need to continuously refresh the data to prevent staleness.”
- Streaming data integration plays a critical role in successful cloud adoption with minimized risks.
A reliable, secure, and scalable streaming data integration architecture with low-impact change data capture enables zero database downtime and zero data loss during data migration. To better explain this architecture, Steve broke it down into a number of steps as follows:
Striim’s cloud data migration solution uses this modern approach. During the bulk load, Striim’s CDC component collects the source database changes in real time. As soon as the initial load is complete, Striim applies the changes to the target environment to maintain the legacy and cloud database consistent. In this section of the webinar, Edward Bell from the Striim team gave a live demonstration of how the platform enables data migration without database downtime using CDC. Streaming data integration also allows testing the new cloud environment thoroughly without time restrictions to allow for a smooth transition to a stable cloud solution.
- Continuous, streaming data integration for hybrid cloud architecture liberates your data for modernization and business transformation.
Getting tangible operational value from cloud solutions requires easy access to timely and reliable enterprise data, wherever it is stored. The efforts to move to the cloud should also consider the ongoing data integration after the cloud system is in production. The same Striim solution that enables zero-downtime data migration also offers continuous, real-time data pipelines from existing data sources, such as HPE NonStop, to help you offload high-value analytics solutions to the cloud.
“It is all about liberating your data.” Steve added in this part of the presentation. “Making it useful for the purpose you need it for. Continuous delivery in the correct format from a variety of sources relies on being able to filter that data, transform it, and possibly aggregate, join and enrich before you deliver to where needed. All of these can be done in Striim with a SQL-based language.”
For those in business or government looking to exploit the benefits cloud services can provide in terms of storage as well as utilities and services on hand, questions did arise over costs associated with pursuit of this architecture, including deploying Striim in support of this architecture. Our short answer is as follows:
Striim provides deployment flexibility … Striim can be deployed in the cloud, on-premises, or both via a hybrid topology. It is priced based on the CPUs of the servers where the Striim platform is installed. So you don’t need to worry about the sizes of your source and target systems.
If you missed attending this webinar and should you have any problems following the hyperlink above, then simply cut and paste this hyperlink into your favorite browser –
Should you have additional questions, please don’t hesitate to reach out to the Striim team. We would be only too happy to hear from you.
Irem Radzik | Head of Product Marketing