The Secrets To Successfully Monitoring Fast Data And Streaming Applications

White Paper (PDF Version)

The Secrets To Successfully Monitoring Fast Data And Streaming Applications

By Dean Wampler, Ph.D., Office of the CTO and Big Data Architect, Lightbend, Inc.

By Dean Wampler, Ph.D., Office of the CTO and Big Data Architect, Lightbend, Inc. and Author Two

About This White Paper

The increasingly real-time requirements of today’s applications are changing how users expect services and products to be delivered and consumed.

Enterprises are responding to this by embracing Reactive system architectures coupled with best-in-class data processing tools to create a new class of programs called Fast Data applications. These applications are sparking the emergence of new business models and new services that take advantage of real-time insights to drive user retention, growth, and profitability.

While Fast Data applications are powerful and create significant competitive advantages, they also impose challenges for monitoring and managing the health of the overall system. Traditional monitoring solutions, built for legacy monolithic applications, are unable to effectively manage these intricately interconnected, distributed, and clustered systems. Businesses must therefore rethink their approach if they wish to take full advantage of the Fast Data revolution.

This white paper outlines the functions a modern monitoring solution must perform in order to truly benefit from the advantages promised by Fast Data and streaming applications.

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About Author

Dean Wampler, Ph.D., Office of the CTO and Big Data Architect, Lightbend, Inc.

Dean Wampler, Ph.D., is a member of the Office of the CTO and the Architect for Big Data Products and Services at Lightbend. He uses Scala and Functional Programming to build Big Data systems using Spark, Mesos, Hadoop, the Lightbend Reactive Platform, and other tools. Dean is the author or co-author of three O'Reilly books on Scala, Functional Programming, and Hive. He contributes to several open source projects (including Spark) and he co-organizes and speaks at many technology conferences and Chicago-based user groups. He has B.S. and M.S. degrees in Physics from the University of Virginia and a Ph.D. in Theoretical Physics from the University of Washington.

About Authors

Dean Wampler, Ph.D., Office of the CTO and Big Data Architect, Lightbend, Inc.

Dean Wampler, Ph.D., is a member of the Office of the CTO and the Architect for Big Data Products and Services at Lightbend. He uses Scala and Functional Programming to build Big Data systems using Spark, Mesos, Hadoop, the Lightbend Reactive Platform, and other tools. Dean is the author or co-author of three O'Reilly books on Scala, Functional Programming, and Hive. He contributes to several open source projects (including Spark) and he co-organizes and speaks at many technology conferences and Chicago-based user groups. He has B.S. and M.S. degrees in Physics from the University of Virginia and a Ph.D. in Theoretical Physics from the University of Washington.

Author Two

Author Two Bio

About Lightbend

Lightbend (Twitter: @Lightbend) provides the leading Reactive application development platform for building distributed systems. Based on a message-driven runtime, these distributed systems, which include microservices and streaming fast data applications, can effortlessly scale on multi-core and cloud architectures. Many of the most admired brands around the globe are transforming their businesses with our platform, engaging billions of users every day through software that is changing the world. For more information on Lightbend, visit: lightbend.com