Learn how to track key metrics in your cloud and hyperconverged infrastructure.

1. Applications Manager
Monitoring Cloud and Hyperconverged infrastructure

2. Monitoring cloud and hyperconverged
infrastructure

3. Agenda
1. Importance of AWS Cloud
monitoring
2. Monitoring Oracle and Google
Cloud
3. Gaining visibility into your
hyperconverged infrastructure
4. Resource planning for cloud
infrastructure

4. Critical cloud applications

5. • AWS : AWS account users are required to use their AWS Access Key and Secret Access
Key to add an AWS monitor in Applications Manager.
http://help.appmanager.com/prerequisites-for-applications-manager$AWSMonitoring
Prerequisites to add AWS applications

6. Discovery & mapping1. Importance of monitoring AWS
metrics

7. • Visualize performance metrics of :
• Amazon Elastic Compute Cloud (EC2)
• Amazon Relational Database Service (RDS)
• Amazon DynamoDB
• Amazon Simple Notification Service (SNS)
• Amazon Elastic Load Balancer
• Amazon Billing
• Diagnosing the root cause of performance issues
AWS monitoring

8. EC2 CPU Utilization

9. Disk I/O Utilization
EC2 Disk I/O Ops

10. Monitored metrics:
Network IN/Out
EC2 Network Traffic

11. Monitored metrics :
• Database connection during specific time
interval
• Available RDS free storage
RDS Free Storage and DB
Connections

12. Monitored metrics:
• Read
Latency/sec
• Write
Latency/sec
RDS I/O Latency

13. Monitored metrics : Provisioned R/W, Consumed
R/W
Dynamo DB R/W capacity
units

14. Successful request latency

15. Monitored metrics :
• Messages published
• Notifications delivered
• Notifications failed
• Published size (KB)
Amazon SNS Usage

16. Elastic Load Balancer

17. Network Load Balancer
Monitored metrics:
• Active TCP/TLS connections
• New TCP/TLS connections

18. AWS Billing

19. Discovery & mapping
2. Monitoring Oracle and Google cloud

20. Oracle Cloud Infrastructure
Architecture
Factors to consider
for compute:
• Metered vs
Unmetered pricing
• CPU Size
• Single/Multi-tenant
• Workload migration
• Hosted on-premise
• Support for
containers

21. Oracle Cloud Compute
Components
Instance
Types
Bare Metal Virtual
Machine
Shapes
Standard
shapes DenseIO
shapes
GPU
shapes
HPC
shape
s
General
purpose
workloads
Big data
workloads
Hardware
accelerated
workloads
High
performance
computing
workloads

22. Oracle Compute Engine
Monitored metrics:
• Instances
• Compartment name
• Region

23. CPU and Memory Utilization

24. Disk I/O Utilization
Monitored metrics : Disk Read, Disk Write

25. Network Utilization
Monitored metrics : Network I/O, Firewall

26. Boot Volumes
Monitored metrics : Read/Write throughputs, Read/Write Operations

27. Block Volumes
Monitored metrics : Volume OCID, Life cycle state, Read/Write throughput

28. VNIC
Monitored metrics : VNIC OCID, Life cycle state, Ingress/Engress, I/O traffic

29. Google Cloud Platform Architecture

30. Google Cloud Compute Engine
Compute Stack Machine Types
General
-
purpose
(N1)
General
-
purpose
(N2)
Compute-
optimized
Memory-
optimized
Share
d-core

31. Google Cloud Compute

32. Quota metrics
Monitored metrics : Usage, Limit

33. Discovery & mappin
3. Hyperconverged Infrastructure : Nutanix

34. Discovery & mappin
How a Hyperconverged Infrastructure works

35. Discovery & mappin
Converged vs Hyperconverged Infrastructure

36. Discovery & mappin
CPU, Memory, and Disk Utilization

37. Discovery & mappin
Host details
Monitored parameters: Host CPU and memory details, Host disk and configuration
details

38. Discovery & mappin
I/O details
Monitored parameters: Cluster IOPS, Cluster IO bandwidth, Cluster IO latency

39. Discovery & mappin
Storage details
Monitored parameters: Disk details, Storage container details

40. Discovery & mappin
Alerts/event details
Monitored parameters: Alert/Event ID, Affected entities, Acknowledged user/time

41. Discovery & mappin
Virtual machine details
Monitored parameters: VCPU's, VM memory, VM state, VM IP address, Host name

42. Discovery & mappin
Virtual machine I/O details
Monitored parameters: Controller IOPS, Controller IO Bandwidth/Latency

43. Discovery & mappin
Virtual machine storage details
Monitored parameters: Disk ID, Capacity, Used/Free

44. 4. Resource planning for cloud infrastructure

45. 4. Capacity planning for cloud infrastructure

46. Forecast by growth trend

47. Forecast by utilization

48. Drop us a line at:
Support
appmanager-support@manageengine.com
Eval
eval-apm@manageengine.com
Online Demo
demo.appmanager.com
Quick Recap:
• Importance of monitoring AWS metrics
• Monitoring Oracle and Google cloud infrastructures.
• Gaining visibility into your hyperconverged infrastructure.
• Resource planning for Cloud infrastructure.

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