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Downtime Free Migrations: Anant’s DLM Toolkit and Arcion

Introduction

Downtime-free migrations are essential for companies that need to keep their systems up and running 24/7. In today’s data-driven world– most businesses have customers who need round-the-clock access to real time data.

For example, continuous global usage requires that services are available to customers in different time zones at all times, without any disruption. Similarly, industries such as healthcare and finance deal with high value data that requires constant availability and zero data loss. In these cases, even a small disruption or loss of data can have significant consequences.

Anant’s DLM Platform with Downtime Free Migrations with Arcion

Anant’s expertise in data lifecycle management and our DLM toolkit can support companies in achieving zero downtime migrations by providing a robust and scalable platform that is built in accordance with the principles of Distributed, Realtime, Extendable, Automated, and Monitored. We have explored Arcion.io’s comprehensive solutions, from the feature-rich products they offer to the diverse use cases and industry applications. As we navigate the ever-evolving data engineering landscape, it’s important to remember that tools like Arcion.io offer cloud-native, completely managed, and no-code pipeline creation for real-time data integration.

Arcion’s core architecture features a dual-write proxy that duplicates writes to two or more databases. This enables the newest data submitted to your applications (and thus your customers) to both your original database and one or more databases that you are considering for migration– or to the database that you have chosen as your new database of record. While the migration is occurring, the application still reads from the original source of record – ensuring that your customers get uninterrupted performance from your applications.

Anant’s expertise with NoSQL databases migration empowers Arcion to support open source and DSE Cassandra, ScyllaDB, as well as yugabyteDB.

Anant and Arcion Migration Use Cases

  • Dual Write Proxy Downtime Free Migrations

This approach involves deploying a proxy layer that sits between the source and target databases (discussed above). As data is written to the source database, the proxy simultaneously writes the data to the target database, ensuring data consistency across both systems. This enables businesses to migrate their data to a new database system without interrupting the application’s operations or experiencing downtime. By leveraging a dual-write proxy, organizations can minimize the impact of migrations and ensure a smooth transition to a new database infrastructure.

  • Database Bake-Offs (Technology Comparison)

Database bake-offs, also known as technology comparisons, involve evaluating and comparing different database technologies to determine the most suitable option for specific use cases. In this process, multiple databases are tested against predefined criteria such as performance, scalability, ease of use, data model, and ecosystem support. Organizations conduct bake-offs to gain insights into the strengths and weaknesses of different database technologies and make informed decisions about which one aligns best with their requirements. By conducting comprehensive evaluations and comparisons, businesses can select the optimal database technology that meets their specific needs, ensuring efficient data storage, retrieval, and processing.

  • Schema Change Migrations for NoSQL Databases

NoSQL databases, such as MongoDB or Cassandra, often allow flexible schemas, but when changes are required to primary keys in your table, careful migration planning is necessary. Schema change migrations involve modifying the existing data schema, migrating the existing data to the new schema, and updating the application code to accommodate the changes. This process requires a well-defined migration strategy and tooling to handle the schema transformation and data migration seamlessly. By effectively managing schema change migrations, organizations can evolve their data models to adapt to changing business requirements and ensure the integrity and usability of their data.

Anant’s Services and Expertise

Scaling support and services is essential for any company’s growth, and Anant’s team members can assist Arcion in achieving this through their expertise in implementing dual-write proxy architecture for downtime free migrations. The modern enterprise’s data platform requires seamless and efficient migration of massive data sets, which Anant’s DLM toolkit and expert support can provide to Arcion’s growing customer base. With a focus on modern data principles, Anant is an ideal partner to support Arcion’s efforts to scale sales and achieve success in their business.

Partnering with Arcion, Anant’s focus is on supporting zero downtime migrations for databases like Cassandra, ScyllaDB, and Yugabyte. Arcion’s strengths in consolidating data from multiple databases and replicating transactional data for real-time fraud analytics, financial transactions, logistics, and health data align well with Anant’s focus on Realtime data and Distributed data platforms.

Anant’s Playbook for Data Operations has an Approach, a Framework, and is a set of design principles to make a Modern Data Platform

When it comes to downtime-free migrations, expert support is critical, and Anant can provide that support through its team of experienced data engineers. From data cleaning to data walking, Anant’s experts can work alongside Arcion’s team to ensure a smooth and successful migration process.

Conclusion

In conclusion, Anant’s DLM toolkit and expert support can help Arcion’s customers achieve zero downtime migrations for petabytes of data while aligning with modern data principles, along with a variety of other use cases. By combining Anant’s Playbook principles, expert team, and history of success with Arcion’s strengths and powerful tools, we can help our customers achieve better outcomes from their valuable data. Contact us to learn more!