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Monitoring stream processing applications is hard, but it gets easier when you have a map.
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Evie uses OpsClarity to monitor and troubleshoot their complex and distributed data-first applications, which include Apache Kafka, Redis, Elasticsearch, Cassandra, Zookeeper and Mesos.
Evie is a mobile application provider that provides a lightweight launcher with lightning fast search. Evie Launcher rolls up content from the best apps, enabling users to find them instantly. Search results are organized into elegant cards and are available for Apps and contacts, Google web search, nearby restaurants, stores, and places, movies and TV shows and more. Evie was formerly known as Voxel.
Logical service topology across complex and distributed applications.
Health tracking and rich set of statistical monitors based on automated anomaly detection.
Single tool to monitor and troubleshoot across data frameworks, code and infrastructure.
No tedious or manual configuration required.
Auto-configures metric collection, health check and statistical monitors based on deep domain expertise for each component.
Monitoring and troubleshooting for data processing frameworks – Kafka, Elasticsearch, Cassandra, Mesos.
“All we had to do was deploy OpsClarity agents across our infrastructure using an automated script, and the next thing we knew was that OpsClarity discovered all the services in our infrastructure, represented in a logical visual topology“
Director of Site Reliability Engg at Evie
Challenge: Launch a new application with complex and distributed
architecture (Kafka, Mesos, Redis etc.) without team resource or months to spend collecting metrics and configuring monitoring tools.
Evie’s core engineering team was preparing for a new product launch. The team at Evie had quickly built a very complex application using modern, reactive and resilient code and data frameworks that included Apache Kafka, Elasticsearch, Cassandra, Mesos, Zookeeper, Redis, Ruby and Python.
Each of these components by themselves is extremely complicated. Evie needed a monitoring solution that not only understood the data frameworks and collected the specific metrics, but also provided correlated troubleshooting across these data frameworks along with the associated applications and code. However, like most teams, they did not have the bandwidth to identify the different metrics that they needed to collect from their complex and distributed applications, configure them and spend months fine-tuning and learning them. They wanted a monitoring and troubleshooting solution that would just work out-of-the-box.
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“We looked at 3 other tools, but only OpsClarity provided visibility and troubleshooting across our data frameworks and application stack – including Apache Kafka, Redis, Mesos, Elasticsearch along with Python and Ruby – without us having to spend months configuring the tool.“
Accelerate performance of your streaming applications.
Monitoring stream processing applications is hard, but it gets easier when you have a map.
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