Monitoring cloud applications and hyperconverged infrastructure
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Learn how to track key metrics in your cloud and hyperconverged infrastructure.
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Monitoring cloud applications 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
- 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
- 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
- 15. Monitored metrics : • Messages published • Notifications delivered • Notifications failed • Published size (KB) Amazon SNS Usage
- 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
- 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
- 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.