Plan Ahead and Better: Automating Capacity Planning with Datametica’s Eagle

Cloud migration is a multifaceted phenomenon. While it may appear daunting at first, proper pre-migration planning is critical to ensuring a smooth migration. Manually planning the entire process presents its own set of challenges, resulting in the loss of process standardization and making the process more cumbersome and tedious. But worry not! With Datametica’s Eagle, our automated data warehouse assessment tool, you can now automate the critical processes from your pre-migration assessment checklist.

Eagle helps in pre-migration planning and includes a number of features for pinpointing missing dependent objects, identifying errors, and spotting other anomalies in order to make the migration process effortless and error-free. If we look deeper, Sprint-level planning and Capacity planning are two important features that enable accurate planning – Sprint-level planning helps define the strategy and plan the migration process, including what amount of work can be done in each sprint and how it will be done. Capacity planning helps match requirements with available resources by looking at existing systems, measuring how well they work, and predicting demand. Any organization can set up and share cloud resources based on this assessment. 

Capacity planning is a crucial part of your pre-migration assessment stage. In this blog, we dive deeper into the nitty-gritty of capacity planning with Datametica’s Eagle.

Understanding Capacity Planning with Eagle

Modern organizations have petabytes of data, and migrating such massive volumes of data to the cloud is challenging and calls for careful planning. Eagle’s capacity planning feature assesses the volume and type of data that must be migrated to the cloud during the pre-migratory phase; however, without it, the entire migration process can become tricky as it would be challenging to predict the time, cost, and capacity associated with the migration. Additionally, the humongous volume of data is migrated to the cloud in a sequential order to avoid data loss at the end of the entire migration process. Without Eagle’s capacity planning feature, maintaining a linear order of the migrated data would also become complicated thereby enhancing the risk of data loss. 

There’s a good chance that the legacy systems hold unused, outdated, and redundant data from decades ago in tables that could hold up a lot of capacity. Moving this data would only make things worse, as it would make the migration process more expensive, time-consuming, and risky for data loss. Eagle’s capacity planning feature conducts a thorough evaluation prior to migration to determine how many tables must be migrated to the new system. In addition, it evaluates active jobs, tables currently in use, frequently accessed tables, and actual important tables in order to accurately predetermined time frame, expense, and the volume of data associated with migration. Eagle’s capacity planning feature also organizes the migration in a sequential manner to prevent data loss. 

And last but not the least, Eagle also provides users with detailed reports and graphical representations after the assessment is complete so that the migration strategy could be planned while taking into account all the challenges and anomalies.

Eagle is capable of much more

Capacity planning is only one of Eagle’s features. It has drill-down analytics as part of its capacity planning feature, which means that it gives a detailed view of the data being evaluated for better planning. In addition, Eagle’s capacity planning includes an integrated SLA (Service Level Agreements) analysis, which is a performance bond agreed upon between a cloud services provider and a target to establish mutual confidence. Eagle also includes resource capacity planning, which estimates the difference between future capacity and demand in order to identify potential resource shortages or surpluses.

It’s time to automate your pre-migration assessment

Many organizations realize this late, but planning is the most crucial phase of any migration process. Datametica’s Eagle has helped several businesses seamlessly plan their migration journey with accurate budget estimations, process timelines, and data migration sequences, thereby minimizing business risks.

Datametica is a global leader in data migration that streamlines and automates the migration process by leveraging its state-of-the-art migration suite. Reach out to us to learn more about Eagle as well as our entire automated migration suite better.