get the big picture! end-to-end monitoring of heterogeneous middleware and apps
DESCRIPTION
SL's CTO, Tom Lubinksi, explains in this webinar how you can learn to provide the most complete picture of the health state of your critical Oracle-centric business applications. Aggregate and consolidate metrics in real time in order to provide visibility across an entire application infrastructure including Oracle WebLogic Server, Oracle Coherence and Oracle databases, as well as other critical middleware components. Quickly provide end-to-end views, intuitive diagnosis and rapid resolution of issues across a broad range of applications, middleware components and monitoring tools. Techniques for the rapid delivery of tailored displays, filtered alerts, deep-dive troubleshooting and historical analysis of system behavior will also be addressed.TRANSCRIPT
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Get the Big Picture! End-to-End Monitoring of Heterogeneous Middleware and Apps
Tom Lubinski, CTO, SL Corporation
8/9 October, 2013
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RTView – Get the Big Picture !
• What is end-to-end monitoring• Why should you care about it ?
• Traditional system management tools are not enough• Agent-based transaction monitoring tools not enough
• What RTView does differently to address this need• Customer Use Case
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What is End-To-End Monitoring ?
• Most people think this is end-to-end monitoring:
A B C D E
A Linear Data Flow …
Where A, B, C are JSPs, Servlets, Topics, Queues, etc.
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What is End-To-End Monitoring ?
• Sometimes it can be more complex:
A B C D E
With Loops and Error Paths …but it’s still “one-dimensional”
G F
Error
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What is End-To-End Monitoring ?
• It’s even more complex than this
• Two more dimensions must be added to the picture …
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What is End-To-End Monitoring ?
• A second dimension to capture the nested levels systems are implemented in – component layering
Host LayerPhysical Servers, Network, Disk, OS
App Server CachingMessaging
Servlet JSP
EJB
Topic Queue
Route
Cache Service
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What is End-To-End Monitoring ?
WebLogicServer
CoherenceCache
Load-Balanced Servers backed by Distributed Cache
A third dimension that most people don’t even think of … process distribution
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Why Should You Care ?
• These three dimensions create complexity – all going on at same time
• Taken together they generate huge volumes of monitoring data and complex relationships between the application and the underlying components.
• Add in a fourth dimension, time, and the challenge becomes even greater
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Why Should You Care ?
• System Mgmt tools give you lots of data, but typically one component at time … only the 2nd dimension
• Transaction monitoring tools only 1st dimension.
• Both are essentially “after the fact” - like alerts … you can tell when a transaction or component has failed but it needs to be correlated with state of entire system
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How RTView Addresses This Problem
• RTView collects data from all these dimensions and is aware of the relationships.
• If an app is dependent on a specific msg queue, RTView can map this to the JMS server that contains the queue, as well as the system that hosts the server and correlate the metrics
• RTView is aware of Server load-balancing and the distributed nature of Coherence caches
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How RTView Addresses This Problem
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RTView Use Case
Application: On-Line Store
Large on-line store providing product search and ordering services for consumer software products
WebLogic for Application Server
Coherence for Database Caching
Multiple other technologies, including TIBCO EMS for communications services
VMWare Virtual Infrastructure
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RTView Use Case
Application Team
Small Group (< 10) responsible for 100+ WebLogic Servers + 100 Coherence nodes replicated in DEV,
TEST, and PROD
Some peripheral monitoring, e.g. Splunk for log files, Omniture for web tracking, OEM for WLS and OC
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RTView Use Case
Support Challenges
Difficult to have confidence that store is “OK”Only know when something goes wrong
When it does, difficult to determine the cause
Each subsystem implemented as a WL ClusterWebLogic = OEM only allows them to see one server at a
time, but the store works off of “clusters”
Coherence = complete black box
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RTView Use Case
RTView Solution
Hi-Level Overview Diagram showing “health state” – provides confidence that all subsystems are OK
Present WebLogic information in “clusters” – makes it possible to see aggregate metrics and load
balancing for each app
Correlate Coherence metrics with WL to provide confidence that Coherence black box is OK
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On-Line Store Overview Diagram
RTView used to create system overview diagram
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WebLogic Cluster/Server Summary
All Servers Organized by Cluster, with Health State
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WebLogic Cluster App Summary
Each Cluster shown as a unit, with server metrics aggregated
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Load Balance Analysis
Load Balance Comparison of multiple metrics across WebLogic and Coherence
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Aggregating Other Middleware Information
Health State of each service aggregated from multiple components
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Aggregating Other Middleware Information
Health State of each service aggregated from multiple components
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Aggregating Other Middleware Information
Including Aggregate Service Alert History over Time
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Aggregating Other Middleware Information
Including Detailed History of Coherence Cache Service
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The Emerging Standard Oracle Stack
VMware
Oracle Coherence/DatabasesMessaging Middleware
Fusion / TIBCO / MQ
Oracle WebLogic
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Conclusion
• 3-Dimensional End-to-end monitoring required for the emerging standard Oracle application stack
• High-level overviews showing “health state” give confidence that all subsystems are OK
• Ability to present WebLogic information in “clusters” makes it possible to see aggregate metrics and load balancing for each app
• Ability to correlate Coherence metrics with WebLogic helps to ensure that Coherence black box is OK
• Include Virtual Infrastructure State and Components from Other Vendors
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Thank you!For more information, please visit
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