How DataStax and Temporal Can Solve the Complexities of Real-Time, Resilient Applications

The demands of today’s world seep into every facet of life; in terms of the enterprise, these demands dictate how modern applications should be developed, run, and maintained. Though the ideal app is durable, resilient, and never fails, achieving this technological feat surfaces complex challenges that stall every step of the development process.

DBTA held a webinar, Building Invincible Applications with Temporal & Astra DB, featuring speakers Aaron Ploetz, developer relations at DataStax, and Loren Sands-Ramshaw, developer relations at Temporal, to offer their solutions and strategies toward producing cloud-native, invincible apps, fast.

Ploetz positioned the conversation as a discussion of how Temporal with AstraDB technology can invite the production of reliable applications under the paradigm of durable execution, preempted by the last “decade of real-time innovation.”

This decade, as Ploetz explained, is defined by real-time; meaning, the effort of bringing together real-time data at scale with integrated ML in a complete, modern data stack purpose-built for developers has characterized the modern enterprise. At least, the ideal one. Achieving this goal, entirely entwined with accelerating generation of accurate, predictive, and engaging applications, is exactly what drives DataStax’s mission.

We know that real-time is a data-must, but why? According to a DataStax survey, real-time data directly drives revenue growth, citing that 71% of organizations reported that growing revenue was due to real-time data.

This sort of business outcome within enterprises’ reach is an undeniable asset. Furthermore, decreasing complexity in the cloud can propel real-time data more efficiently.

“Ultimately…what the DataStax Astra platform does is improve the cloud native developer experience from the data store side,” added Ploetz. 

AstraDB offers quick spin-up of highly scalable resources, is multi-region and -cloud, supports auto-scaling, and is completely hands-free. This allows enterprises to build fast, and scale without limits, delivering on those modern demands for optimized data at scale.

Sands-Ramshaw continued the discussion by highlighting what Temporal can offer for the efficiency demands that dictate a successful enterprise. As he put it, Temporal takes care of many of the pressures bogging down developers—dealing with both developmental velocity and experience—particularly in a microservice environment.

“In a microservice world, we have to take into account the possibility that any downstream service might be down, with separate data stores we need to maintain in a consistent state throughout,” said Sands-Ramshaw.

Durable execution, or code that’s guaranteed to complete running, is Temporal’s specialty. This is uniquely useful for coding errors, shutdowns, code redeploys, etc., as durable execution allows developers to maintain code context in the event of a killed process. Automatic retries, sleep states, and forever functions are new possibilities with durable execution, all without the need to rely on a database.

Ploetz returned to explain the joint value of DataStax and Temporal together, offering that this combination allows users to create a new class of distributed, real-time applications that are cloud-native, equipped with time-sensitive insights and global distribution without vendor lock-in.

Pairing DataStax’s scalable, hands-free data store with Temporal’s cloud native, durable execution, developers can witness significant gains in areas of efficiency, time-to-value, resiliency, and scalability, all without breaking the backs of their teams.

For an in-depth discussion of DataStax and Temporal’s offerings for developers, you can view an archived version of this webinar here.