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Network infrastructure visibility and analytics with data streaming
- 2. What is Data Streaming?
• Data streaming is the mechanism by which you can collect
comprehensive real-time data from your applications and
infrastructure, for analysis by various tools and analytics software.
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- 3. Why the Data Must be Real-time
• You need real-time data to show you what’s happening in your
infrastructure across compute, storage and network domains.
– Monitoring helps you check network availability, performance, and latency
to ensure you can deliver the network Service Level Agreement (SLA).
– You can also perform analysis on the collected data to either optimize
network efficiency or to expand the network to meet growth aspirations.
– Finally, the data can be analyzed to detect various types of events and failures
happening in your network and perform automatic actions for remediation.
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- 4. Data Streaming in Operation
• Data streaming involves continuous periodic transfer of information from the monitored entity (e.g., a network switch or router).
• Information is usually transmitted from the monitored entity via a “push” model, wherein the monitored entity periodically sends
data to a receiving entity called a collector.
• The collector can feed the data into an analytics engine, such as Splunk or Apache Spark, which can then provide visualization or
business insights.
• The analytics engine can also detect events and drive an event-based automation engine, such as Brocade Workflow Composer, a
DevOps-inspired platform powered by StackStorm, for automated actions on the infrastructure.
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Data Streaming Ecosystem
- 5. Go To Our Blog On This Topic
• Learn more – http://community.brocade.com/t5/Data-Center/Network-
Infrastructure-Visibility-and-Analytics-with-Data/ba-p/92270
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