Application Monitoring Maturity: The Road to End-to-End Monitoring



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Application Monitoring Maturity: The Road to End-to-End Monitoring Robert Cheung ITCAM for Transactions Australian Development Lab

What is Composite Application Monitoring? Composite Application is N-tiered software architecture, or Service Orientate Architecture Composite Applications are multi element Implies CAM will consist of many elements Many aspects real/synthetic, KPI vs Tracking Tracking is a vital function 2

Tivoli s Application Performance Management Portfolio Discovery End User Experience Transaction Tracking Deep Dive Analytics Visibility into application resource dependency Transaction performance monitoring to ensure SLA compliance Rapid problem isolation through transaction path analysis Domain-specific operations tools for diagnosis and repair Proactive Management to reduce outages and improve business performance TADDM ITCAM for Transactions ITM, ITCAM & OMEGAMON Family Data Center Management ITM, ITM For Virtual Servers Management of operating systems and virtual environments Broader Coverage OS & Virtual Environment Databases Web Servers and App Servers Packaged Applications Agent Builder supports custom apps ITM For Energy Management Reduce data center energy consumption

Examples of How CAM Will Help Problem type Options Examples SLA Conformance Application Performance Issue Single domain monitors offering synthetic or real monitoring. CAM adds problem isolation, and provide hand off to SME tools for diagnostics. All domain monitors reports their individual component is fine because vital values are lost in averages. CAM tracking records averages on a per transaction path basis, giving much higher resolution into issues Rational Performance Tester senses SLA violation, the exact transaction path is tracked in TT. Isolates the fault to WAS, deep dives to CAMfAD for SME to resolve. Two transaction types, t1 and t2, goes via same component, X. t1@x ~5ms, t2@x ~500ms. t1@x spikes to 10ms, but average is only 505ms, so no alerts.

Examples of How CAM Will Help Problem type Options Examples Planning support Compliance monitoring History recording of transaction paths and their metrics, this provides a very detailed view on the flow within a data center. Static count, inventory Dynamic usage/rates, flows. Capacity planning, especially with mix of applications shifting. 3 DB clusters, but cluster 3 is ONLY licensed for application group X. Transaction tracking can provide affirmation of this.

CAM Maturity Means visibility in more types of issue in a typical data centre. Issues that affect a Line-of-Business manager Composite Application management is typically in the domain of a Line-of-Business manager Reports to business operations Peers with data centre manager, facilities manager Leads/Interfaces with SMEs, application teams Means quicker time to resolution Significant business impact in terms of minimizing opportunities lost Means ability to predict issues Allows the LoB manager to be proactive rather than reactive

Road to Maturity: Costs and Benefits Simple End User Monitoring End to End Monitoring Value Monitoring Investment

An Example A natural evolution of a productive environment Mainframe environment, eg Transaction Processor is CICS Database storage in DB2 Monitored by OmegaMon XE N-Tiered Business logic extension done in distributed environment Custom coding (eg C++) to add new functionality Interconnected to mainframe via MQ Service Oriented Architecture Functionality enhancement following SOA principles Web and Application servers abound, load balanced to scale Message passing via MQ/MB/Datapowers etc

Originally no significant issues OmegaMon SME/Single domain tools sufficient for outage diagnostics Visibility = High Single Silo = no component interaction issues N-Tiered 2 components connected via Enterprise Message Bus of some type Logging within application Good when breakage is within the application Issues when transactions are lost between the two parts Visibility = failing at interconnect between the two Silos

SOA adding load balancing, reusable component, common framework Interconnects and the path itself now forms a major part of the business logic Visibility = low, many Silos can t easily associate a component breakage back to end user impact Can t tell whether multiple exceptions are due to floor-level noise or are related and needs to be dealt with.

Recover Monitoring Capabilities Visibility has not scaled with application growth Previously engineered monitoring solutions no longer adequate 3 step initial triage, giving quick initial value - Stage 1: Know your application layout/bottleneck analysis via Agentless Application/component discovery Links outages to components

Road to Maturity: Costs and Benefits Simple End User Monitoring End to End Monitoring Value #1 Agentless Understanding of systems and interconnects #0 No visibility Reactive, ad-hoc and slow to repair Monitoring Investment

Triage 1: Agentless Transaction Tracking Pros: Offers much faster Time-To-Value End-to-end view in short time span Zero overhead, zero transaction impact Using proven WRT technology Server and component level topologies Very little configuration Most common applications are preconfigured out of the box Can add custom network applications Provides platform on which to invest agentbased tracking Visibility inside the server Transaction level details Does not provide instance data

Recover Monitoring Capabilities (Cont.) Initial triage, continued - Stage 2: Real end user monitoring via WRT, CRT ensures SLA conformance Stage 3: Synthetic monitoring via RPT, ISM Ensure application vitality Allows reactive trigger to be an agent rather than an angry customer

Road to Maturity: Costs and Benefits Simple End User Monitoring #2a Real End User SLA Conformance End to End Monitoring Value #1 Agentless #2b Synthetics Understanding Tooling of embraced systems and Automated interconnects detection/ isolation of common issues. Monitoring Investment

Triage 2: Real User Monitoring Web Applications - Agentless Captures performance and availability data of actual users for SLA reporting Completely non-invasive, agentless monitoring Monitors network traffic for HTTP(S) requests to the web server Windows Applications - Agent Monitors selected Windows applications Total Transaction Time Agent on client workstation provides details response time analysis Measure Client Network Server Click Web Server AppServer

Triage 3: Robotic Monitoring Verification Points for content matching and response code checking HTTP transactions correlate with downstream instrumentation for problem isolation Improved scalability for more concurrent playbacks on a single agent Support for a growing list of protocols: HTTP(S), Siebel, Citrix, web services

Triage 3: Internet Service Monitors Agentless protocol-level availability monitoring Comprehensive service monitoring Measure availability, performance and content accuracy of services via 25 protocols Simulates clients of services Periodic testing Measure against defined SLA - % availability Identify long term trends with historical reporting Broad application / service coverage ITCAM for ISM supports 25 protocols and complements the robotic and real user response time monitoring functions of ITCAM for Response Time. Together they form Tivoli s comprehensive solution for application response time monitoring.

Enhancing Monitoring Maturity Aim of triage is to move CAM to a proactive rather than reactive position A first step, next step is to reduce the time to resolution Reaching higher levels of visibility gaining true end to end tracking. Add Domain tracking monitors (eg TT s MQ data collector) Add Domain SME monitors as appropriate (eg ITCAM for AD, OmegaMon for CICS) Build up data over time Allows for production capacity planning Start linking to Business Impact Monitoring tools BPM, BSM, TADDM, TBSM, etc Example TT exports via Common Data Model to TBSM giving it topological visibility TT via Omnibus, sends outage events to TBSM to enable business impact analysis

Road to Maturity: Costs and Benefits Simple End User Monitoring End to End Monitoring Value #2a Real End User SLA Conformance #2b Synthetics Tooling embraced Automated detection/ isolation of common issues. #3.3 Subsequent Agents True end-to-end tracking Tuning and filtering Feeding into TBSM #3.2 Second Agent Instance level tracking #3.1 First Agent Agentless/ Agentbased are integrated Deep dive Monitoring Investment

Simplifying the Topology with Filtering and Grouping Grouping MQ Dynamic Queues Filtering IHS Image Filtering AMCE Configuration AMCE Configuration

WAS OMEGAMON XE for Messaging ITCAM for Transactions Launch-In-Context allows SME to quickly and easily drill down to the problem ITCAM for Application Diagnostics Speeds MTTR

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Simplifying the Topology with UI Filtering Topology Filter Configuration - Example With a Server Component Interaction topology that aggregates on Server Name and shows Component interaction on the arrows, we could show only interactions from All Clients In TEP properties Different views on same data Allow for presentation changes This gives the following topology:

Road to Maturity: Costs and Benefits Simple End User Monitoring End to End Monitoring Value #2a Real End User SLA Conformance #1 Agentless #2b Synthetics Understanding Tooling of embraced systems and Automated interconnects detection/ isolation of common issues. #3.3 Subsequent Agents True end-to-end tracking Tuning and filtering Feeding into TBSM #0 No visibility Reactive, ad-hoc and slow to repair #3.1 First Agent Agentless/ Agentbased are integrated Deep dive Monitoring Investment #3.2 Second Agent Instance level tracking

CAM What it isn t Single domain monitors doing only KPI Monitors that just observe one element s KPIs, eg Network monitor OS monitor, or Even Middleware monitors that report only KPIs. Tracking is the distinction between a CAM vs. a collection of point monitors Deep Dive is another capability of CAM Business monitors (eg BPM, TBSM) Business monitors reports on impact to business capability/processes More business orientated than CAM

How does this help me? Solving classes of real monitoring problems that can t be solved by other means. Monitor Type Solutions offered Examples Single domain Cross domain event correlating monitors. Transactions Tracking Business monitors. Including impact and process monitoring. KPIs element vitality. SLA conformance. SME information diagnostics. Application interaction tracking Problem sensing and isolation Repair verification Business impact analysis Process compliance monitoring Network monitor ITM OS monitor OmegaMon XE ITCAM for Transactions TBSM Websphere BPM