OpenStack Performance Monitoring


The AppDynamics OpenStack Connector Extension for HP Cloud Services provides the ability to monitor and manage your critical cloud-based applications, ensure application performance pre and post-cloud migration, and take full advantage of cloud elasticity with auto-scaling.

OpenStack is an open-source cloud-computing platform primarily used to build IaaS (Infrastructure-as-a-Service) solutions. Launched in 2010 as a joint initiative by NASA and Rackspace, OpenStack features a modular architecture that controls such data center resources as processing, networking, and storage. OpenStack Compute, a cloud computing fabric controller, automates and monitors groups of computing resources to work with virtualization, while Object Storage,a scalable storage system, provides data protection and business continuity features. Users can provision and manage OpenStack resources via a web-based dashboard, a RESTful API, or command-line tools. OpenStack comes with APIs that integrate with such AWS services as EC2 and S3, and boasts an active community of developers and sponsors.

Automatic application discovery

Automatically discover the entire topology of your HP Cloud Services application and enable your team to spend time on innovation instead of configuration.

Display key performance indicators

Gain a real-time view of the complete health of your HP Cloud Services application by monitoring load, average, response time and error rate for the application, and dynamic baselines for all of these values to show what's normal vs abnormal.

Distributed call graphs

Follow a user request as it traverses your distributed HP Cloud Services application and collect end-to-end code execution and latency data to provide context required to isolate root cause quickly.

Real-time business metrics

Correlate application performance metrics to the metrics that matter most to your business and get real-time insight when performance deviates from the baseline.

Cloud auto-scaling

Ensure accurate capacity planning for cloud environments with tools to dynamically scale up or scale down cloud resources based on performance metrics.


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