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Monitoring cloud applications and containers
The document outlines a schedule of monitoring cloud applications and containers, detailing completed and ongoing modules on AWS, Azure, and containerization strategies. It emphasizes the importance of utilizing performance metrics for AWS and Azure services, including EC2, RDS, and Kubernetes, while providing links for setting up monitoring. Additionally, it covers resource planning and capacity forecasting for cloud infrastructure management.
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Monitoring cloud applications and containers
- 1. Monitoring cloud applicationsand containers
- 2. Week Module DateSchedule 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 applicationsand containers
- 4. Agenda 1. Importance ofAWS Cloud monitoring 2. Monitoring Azure Cloud services 3. The era of containers : Kubernetes and Docker 4. Resource planning for cloud infrastructure
- 5.
- 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 performancemetrics 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
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- 10. Disk I/O Utilization EC2Disk I/O Ops
- 11. Monitored metrics: Network IN/Out EC2Network 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
- 15.
- 16. Monitored metrics : Publish Size (KB)/Hr AmazonSNS published size
- 17. Monitored metrics : •Messages published • Notifications delivered • Notifications failed • Published size (KB) Amazon SNS Usage
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- 19. Network Load Balancer Monitoredmetrics: • Active TCP/TLS connections • New TCP/TLS connections
- 20.
- 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 performancemetrics 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: • Inputtraffic (Kbps) • Output traffic (Kbps) • Inbound errors • Outbound errors Azure VM I/O traffic
- 27. Monitored metrics: • Processcount • Thread count Azure VM thread statistics
- 28. Azure .Net CLRstatistics
- 29. Monitored metrics: • Blobavailability • Table availability • Queue availability • File availability Azure storage capability
- 30. Monitored metrics: • Averageend-to-end latency • Average server latency Azure storage Latency
- 31. Monitored metrics: • Blobtotal ingress • Blob total Egress • Blob total requests • Blob total billable requests • Blobs data collected time Azure storage throughput
- 32. Monitored metrics: • Blobsthrottling errors • Blobs anonymous throttling Azure storage throttling errors
- 33. Monitored metrics : •DTU Limit • DTU Used Azure SQL DB DTU utilization
- 34.
- 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 Dockerarchitecture
- 38. Docker memory utilization Monitoredparameters: 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 Kubernetesarchitecture
- 41. Kubernetes pod details Monitoredparameters: • Pod usage details • Pod memory details • Pod CPU details • Node pod details • Allocatable pod count
- 42. Kubernetes nodes andresource 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 planningfor cloud infrastructure
- 45. 4. Capacity planningfor cloud infrastructure
- 46. Forecast by growthtrend
- 47.
- 48. Drop us aline 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.
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