Monitoring cloud applications and hyperconverged infrastructure
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This document discusses monitoring cloud and hyperconverged infrastructure. It covers monitoring Amazon Web Services (AWS) by visualizing metrics for compute, storage, databases and other services. It also discusses monitoring Oracle Cloud Infrastructure and Google Cloud Platform, including compute metrics. Monitoring Nutanix hyperconverged infrastructure is covered, such as storage, virtual machines and alerts. The document concludes with the importance of capacity planning for cloud resources.
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.