Monitoring cloud applications and containers
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Learn the key metrics to track in your AWS, Azure, Docker, and Kubernetes infrastructure to ensure that they are up and running.
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Monitoring cloud applications and containers
- 1. Monitoring cloud applications and containers
- 2. Week Module Date Schedule Status 1 Visibility from web application interface to the database Aug 21 6.00 AM GMT 11.00 AM EDT Completed 2 Big data and the non relational database Aug 28 6.00 AM GMT 11.00 AM EDT Completed 3 Implementing the right website monitoring strategy Sept 4 6.00 AM GMT 11.00 AM EDT Completed 4 Monitoring cloud applications and containers Sept 11 6.00 AM GMT 11.00 AM EDT In Progress
- 3. Monitoring cloud applications and containers
- 4. Agenda 1. Importance of AWS Cloud monitoring 2. Monitoring Azure Cloud services 3. The era of containers : Kubernetes and Docker 4. Resource planning for cloud infrastructure
- 6. • 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$AWSMonitoring • Azure : Diagnostics must be enabled from Azure portal. Powershell scripts used to collect data. http://help.appmanager.com/prerequisites-for-applications-manager$AzureVMs Prerequisites to add cloud applications
- 7. Discovery & mapping1. Importance of monitoring AWS metrics
- 8. • 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
- 10. Disk I/O Utilization EC2 Disk I/O Ops
- 11. Monitored metrics: Network IN/Out EC2 Network Traffic
- 12. Monitored metrics : • Database connection during specific time interval • Available RDS free storage RDS Free Storage and DB Connections
- 13. Monitored metrics: • Read Latency/sec • Write Latency/sec RDS I/O Latency
- 14. Monitored metrics : Provisioned R/W, Consumed R/W Dynamo DB R/W capacity units
- 16. Monitored metrics : Publish Size (KB)/Hr Amazon SNS published size
- 17. Monitored metrics : • Messages published • Notifications delivered • Notifications failed • Published size (KB) Amazon SNS Usage
- 19. Network Load Balancer Monitored metrics: • Active TCP/TLS connections • New TCP/TLS connections
- 20. AWS Billing
- 21. Discovery & mapping 2. Monitoring Azure applications Microsoft Azure Monitor Azure Virtual Machines Azure Storage Accounts Azure SQL Databases Blobs Tables Files Queues
- 22. • Visualize performance metrics of : • Azure Virtual Machines • Azure Storage Account • Azure SQL DB • Configure alarms for critical metrics • Diagnosing the root cause of performance issues Azure Monitoring
- 23. Monitored metrics : • VM's Provisioned • Total VM's Running • No of SQL Databases • Premium storage accounts Azure Resource Allocation
- 24. Monitored metrics : • Committed memory • Available memory Azure VM Memory Usage
- 25. Monitored metrics : • Disk Read Bytes/Sec • Disk Write Bytes/Sec Azure VM disk metrics
- 26. Monitored metrics: • Input traffic (Kbps) • Output traffic (Kbps) • Inbound errors • Outbound errors Azure VM I/O traffic
- 27. Monitored metrics: • Process count • Thread count Azure VM thread statistics
- 28. Azure .Net CLR statistics
- 29. Monitored metrics: • Blob availability • Table availability • Queue availability • File availability Azure storage capability
- 30. Monitored metrics: • Average end-to-end latency • Average server latency Azure storage Latency
- 31. Monitored metrics: • Blob total ingress • Blob total Egress • Blob total requests • Blob total billable requests • Blobs data collected time Azure storage throughput
- 32. Monitored metrics: • Blobs throttling errors • Blobs anonymous throttling Azure storage throttling errors
- 33. Monitored metrics : • DTU Limit • DTU Used Azure SQL DB DTU utilization
- 34. Azure SQL DB
- 35. Monitored metrics : • Successful connections • Failed connections Azure SQL DB connections
- 36. Discovery & mappin 3. The era of containers: Docker and Kubernetes
- 37. Discovery & mappin Docker architecture
- 38. Docker memory utilization Monitored parameters: Memory usage, Memory limit, Page faults, Page In/Out
- 39. Monitored metrics : Bytes received/transmitted, I/O Read/Write, TX/RX packets dropped Docker network stats
- 40. Discovery & mappin Kubernetes architecture
- 41. Kubernetes pod details Monitored parameters: • Pod usage details • Pod memory details • Pod CPU details • Node pod details • Allocatable pod count
- 42. Kubernetes nodes and resource consumption Monitored metrics : Allocatable memory, Node memory limit, Node memory request, CPU details
- 43. View component status Monitored parameters: • Service details • Deployment details
- 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 Azure cloud services. • The era of containers : Docker and Kubernetes. • Resource planning for Cloud infrastructure.