Explore the components of a simple web app and then see how Applications Manager helps you discover and map relationships between your apps and take a look at the wide range of business critical metrics monitored for every app/ server in your network. We will also explore how to logically group your apps so as to achieve maximum productivity from your IT department.

1. Discover & visualize
application dependencies
with
Applications Manager

2. Today's agenda
Application Discovery
Dependency Mapping
Monitor Groups
Deep dive into performance metrics

3. Challenges faced by IT admins
'Suzan'
The DevOps Head
'Bob'
The IT
Admin
Zing Telco
Server
crashes
Slow
applications
Unexpected
downtimes
Creating
dependencies
Troubleshoot
memory leak
Optimizing
applications

4. Web Application
Architecture
Consists of components such as:
• DB servers - SQL, Oracle, etc.
• Application servers - Jboss,
Weblogic
• Reverse proxy - NGiNX
• Web server - IIS, Apache
• Websites

5. Key areas for monitoring
• Service performance and uptime
• Software components metrics
• System metrics
• Application metrics

6. Based on the need, the IT admin has
to:
• Build a viable monitoring platform
• Measure all the monitoring points
• Learn about application performance

7. Discovery & mapping
Overview of ManageEngine Applications Manager

8. Applications Manager is an agentless
monitoring tool for your heterogeneous
infrastructure

9. One tool to Monitor 100+ apps

10. Primary Functions
Monitoring Alerting
ReportingSLA Management
Applications
Manager

11. General Terms used in Applications
Manager
A logical grouping of one or more resources which may include
application servers, DB, services, servers, etc.
A Monitor is a specific application server, service or web URL.
The performance of components are monitored on the basis of
various attributes like CPU usage, response time, etc.
Notifications generated based on Threshold/Health values.
A predefined set of values based on which an Alarm is
generated.
Tasks to be performed when alarms are generated. Eg: Send
E-Mail, SMS, etc.
Monitor
Group
Monitor
Alarms
Threshold
Actions

12. Status
Representation
Every monitor and monitor group will comprise of Availability, Health, Numeric/String attributes
Availability:
Represents
whether the
particular monitor
is up Or not.
Health:
Represents the
overall state of
the monitor.
Depends on the
severity of all
the other
attributes
Up
Down
Availability
Clear
Warning
Critical
Health

13. Trigger
Discovery
Specify
Credentials
Monitoring
Collects
Performance
Metrics
Configure
Thresholds
and Actions
View
Reports &
Alarms
How does Applications Manager work?

14. Discovery & mapping
Application Discovery

15. Discover applications using below
methods
• Manual
• Bulk Import
• Application discovery

16. Bulk Import your monitors

17. Discover applications and servers using
• IP Range
• CIDR
• vCenter

18. Configure Ports

19. Discovery process

20. Discovered
devices
Automatic
categorization

21. Dependency Mapping

22. Why mapping?
• Business view of all discovered applications.
• Add/Delete/Modify application relationships.
• Live status of running devices.
• Identify 'down' applications quicker.
• Instant root cause diagnosis for quicker troubleshooting.

23. Visualizing application relationships

24. Dependency MappingMonitor Groups

25. • Based on business service or geography
• Create subgroups
• Assign ownership to groups
• Define alarm rules and templates for every group's
attributes
• Fetch reports based on Monitor Groups
Monitor Groups

27. Creating a new Monitor Group

28. Deep dive into performance metrics of
application elements

29. Servers

30. Servers
Key metrics:
• CPU
• Memory
• Disk
• Process & service monitoring
• Hardware metrics
• Windows- Event log & task scheduler
• Network interface stats
• Disk I/O
• AS400 server status, jobs, messages, pool

31. Virtualizati
on

32. Virtualization
Key metrics:
• CPU
• Memory
• Network
• Datastore
• Virtual storage & networks
• Capacity planning and resource allocation

33. Application servers

34. Application servers
Key metrics:
• Sessions
• Hits Per Sec
• JVM Memory
• Thread
• Transaction Stats
• JMS, Queues
• Traffic Metrics
• Usage Patterns

35. Database
servers

36. Database servers
Key metrics:
• Connection time
• Log files size
• Tablespace
• Database size
• Buffer hit
• Reads, writes, I/O
• SQL statistics
• Locks
• Jobs & backup details
• Session info

37. Middleware Technologies

38. Middleware Technologies
Key metrics:
• Thread pool details
• Broker details
• Channel stats
• Queue information

39. ERP servers

40. ERP servers
Key metrics:
• Buffer
• Spool
• Background jobs
• RFC
• Request information
• Connection statistics
• Process details
• Server statistics

41. Cloud Platforms

42. Cloud Platforms
Key metrics:
• CPU Utilization
• Network
• Traffic
• Disk I/O
• Latency
• Bandwidth
• Throughput
• Request execution time

43. Big Data Technologies
Key metrics:
• Memory
• Workers
• Executor
• RDD details
• File Systems
• Jobs

44. Quick recap
• Overview of Applications Manager
• Discovery- ADDM
• Monitor Groups
• Various performance metrics
Support
appmanager-support@manageengine.com
Eval
eval-apm@manageengine.com
Online Demo
demo.appmanager.com

45. Support
appmanager-support@manageengine.com
Eval
eval-apm@manageengine.com
Online Demo
demo.appmanager.com