Microservices and Fast Data: Industry and Architecture Trends
Examining The Convergence Of Fast Data And Microservices ArchitectureView on Slideshare
As the end goal of streaming and Fast Data systems include a promise of accelerated access to information that can lead to new opportunities for innovation and competitive advantage, it’s easy to forget that they aren’t just “faster” versions of Big Data systems.
Under the hood, these Fast Data systems have forced system architecture changes to meet new demands for reliability and dynamic scalability, more like the sorts of microservices architectures and design patterns we see successfully utilized by many of our customers today.
In this fireside chat style presentation, Dean Wampler of Lightbend and Matt Aslett of 451 Research will:
- Discuss the business justification for transitioning from batch-oriented big data to stream-oriented fast data.
- Explain the changes that streaming architectures require to meet their higher demands for reliability, resiliency, dynamic scalability, etc.
- Discuss how some of these requirements can be met by leveraging what organizations already know about microservice architectures.
Watch The Full Video (35 Min)Watch on YouTube
More Resources To Enjoy
- Read: Grab the 451 Research analysis report on Lightbend Fast Data Platform
- Watch: Dean Wampler demos Fast Data Platform at O’Reilly Strata Conf
- Download: Our newest expert-level Fast Data and streaming journey pack is available for teams already in the design phase
As always, Lightbend is here to make your streaming and Fast Data journey successful. To find out more about our platform subscription, getting-started engagement services, or anything else, feel free to contact us below and schedule a 20-min introduction.