Technologies such as Apache Spark, Apache Mesos, Akka, Apache Cassandra, and Apache Kafka (a.k.a. the “SMACK” stack) are increasingly the tools of choice for architects and developers when building streaming Fast Data applications.
But once these applications are in production and running at scale, Ops and DevOps teams find it challenging to monitor these complex applications from an end-to-end perspective.
Legacy monitoring tools, designed for simple monolithic systems, can’t handle these distributed systems well, and teams can’t afford to spend hours or days isolating and troubleshooting production problems manually. That’s where OpsClarity from Lightbend can help.
In this webinar with Lightbend Principal Engineer, David Brinegar, we review how OpsClarity is purpose-built to intelligently monitor streaming applications and help Ops teams resolve issues quickly. Included in the video is a 20-minute demo showing out of the box operational metrics, end-to-end visibility into data pipelines and the ability to correlate problems and issues across various streaming components.
If you are a developer or architect looking to learn more, consider our Fast Data Platform Technical Overview or Fast Data Architectures for Streaming Applications, by Dean Wampler (VP of Fast Data Engineering at Lightbend). If you are a team lead or manager, review our Reactive Launch engagement and read some of our streaming and Fast Data success stories from enterprises like Credit Karma, Weight Watchers, Zalando, Swisscom and Intel:
As always, a Lightbend representative is always available to schedule a 20-min introductory chat with you and your team. Simply contact us here:
