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Monitor everything from physical hardware to application functionality

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Monitor everything from physical hardware to application functionality

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The IT industry is a diverse and dynamic world where applications and functions may be spread out - and move between a multitude of providers and technologies such as Amazon AWS, Rackspace, KVM, volatile containers, and your internal traditional IT infrastructure with physical servers.
Monitoring all of these might require one monitoring tool per platform, or at least a few to seamlessly blend metrics, events and logs to get true Observability on your environment. OP5's intention is to address this with Project Omega. Designed from the ground up using cloud-native technologies packaged in a container environment to be running on premise or as SaaS, scaling horizontally with Kubernetes.
Initially the focus is on monitoring OpenStack with the Monasca project and developing the agent in and for the community providing patches and reviews since the Queens release of OpenStack, using modern REST API’s, time series database for metrics, message queues using Kafka and preparing the stack to for real-time analysis using Apache Storm.

The IT industry is a diverse and dynamic world where applications and functions may be spread out - and move between a multitude of providers and technologies such as Amazon AWS, Rackspace, KVM, volatile containers, and your internal traditional IT infrastructure with physical servers.
Monitoring all of these might require one monitoring tool per platform, or at least a few to seamlessly blend metrics, events and logs to get true Observability on your environment. OP5's intention is to address this with Project Omega. Designed from the ground up using cloud-native technologies packaged in a container environment to be running on premise or as SaaS, scaling horizontally with Kubernetes.
Initially the focus is on monitoring OpenStack with the Monasca project and developing the agent in and for the community providing patches and reviews since the Queens release of OpenStack, using modern REST API’s, time series database for metrics, message queues using Kafka and preparing the stack to for real-time analysis using Apache Storm.

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