2. VMware Management Solution Technical Overview Iwan ‘e1’ Rahabok Senior Systems Consultant e1@vmware.com | virtual-red-dot.blogspot.com | 9119-9226 VCAP-DCD

3. State of VMware Deployment in ASEAN Architecture Operation Maturity?

4. Challenges after virtualisation: Doing 3x more with 3x less. Sharing of resources. Contention must be managed Much less head room for future Very easy to make changes “Amplified” and “Updated” Needs: Performance monitoring & troubleshooting Capacity planning Configuration management Change management Compliance New Need: Chargeback Before: After: 200 physical servers (150 Prod, 50 Non Prod) 60 ESXi servers, serving 600 VM (200 Prod, 200 DR, 200 Test/Dev/etc) 60 ESXi servers, serving 600 VM (200 Prod, 200 DR, 200 Test/Dev/etc)

5. Automation >< Orchestration More EngineeringMore Management

6. Including physical management Private Cloud Self-Service  Solution Bundle: IaaS Solution Bundle: IaaS Infrastructure & Operations  Performance, Capacity, Configuration Performance, Capacity, Configuration Security & Compliance  vShield + VCM: Operational and Regulatory Compliance vShield + VCM: Operational and Regulatory Compliance IT Service Management  Problem, incident, change, config Application Management  App Release + Performance 1.1. 2.2. 3.3. 4.4. 5.5.

7. vCenter Operation

8. vCenter Operations Advanced vCenter Operations Enterprise + Configuration & Compliance Management (vCenter Configuration Manager) + Other VMware & 3 rd Party Integrations (View, management, servers, storage) Non-Vmware (incl. physical) environments VMware Cloud / vCenter vSphere vCenter Operations Standard Capacity Management Performance Management (up to 1500 VM)

9. Purpose Built Capacity Planning & Analysis Integrated capacity analysis and forecasting Decision support & automation via views, alerts, reports VM right sizing and capacity reclamation Automated Configuration & Compliance Automated Patching and Provisioning Comprehensive change tracking to isolate root cause Single-click rollback to remediate and return to normal Patented Performance Analytics Self-learning of “normal” performance conditions Service health baseline and trending Smart alerts of impending performance degradation

10. Automating Operations ProgressiveINTEGRATION Patented ANALYTICS Powerful VISUALIZATION Performance Capacity Configuration + +

11. Comparing the Editions StandardEnterprise Data SourcesvCenter x 1 Any 3 rd party monitoring tools’ time series data Change events Multiple vCenter Servers ObjectsvCenter Objects (i.e.) Data Centers Clusters ESX Hosts Datastores VMs x 1500 Unlimited Scope (i.e.) Applications Network Infrastructure Storage Hosts (ESX, Win, Linux, etc) VMs UsersInfrastructure (e.g. VI Admins)Operations, Infrastructure, Application Teams, Business Owners, CxOs Dynamic ThresholdsYes Performance Root CauseYes Proactive AlertingNoYes Customizable DashboardsNoYes NotificationsNoYes Scope Function

12. vCenter Operation – Standard Edition

13. vCenter Environment - Workload Workload Measures Demand for resources vs. Resources currently used Result is a percentage of Workload Low number is Good – Object has the resources it needs Can go above 100% - Object is “Starving” Workload summarized across critical resources CPU Storage Network Memory Workload Details View View the state of the Peer and Parent Objects and troubleshoot Am I a victim or a villain? Is this a population problem?

14. vCenter Environment - Health Health Measures How normal is this object behaving: 0-100 (Higher is Healthier or Normal) Learns dynamic ranges of “Normal” for each metric Learns patterns of behavior and identifies metric abnormalities Healthy = no abnormalities Health and Workload together Workload High & Health High – Normal Behavior for this timeframe Workload High & Health Low – Something is amiss! Important Note Low Health does not imply a problem. It tells you that the object is acting differently than normal.

15. Learn Normal Behavior and Identify Abnormalities Doesn’t assume IT data has a normal bell-shaped distribution Sophisticated Analytics – 8 different algorithms Learns your dynamic ranges of “Normal” without templates Learns patterns of behavior and identifies Abnormalities BLUE LINE Metric’s Current Value BLUE LINE Metric’s Current Value GRAY BAR Upper and Lower band of Dynamic Threshold - “Normal” GRAY BAR Upper and Lower band of Dynamic Threshold - “Normal” RED BAR Breached Dynamic Threshold – “Abnormal” RED BAR Breached Dynamic Threshold – “Abnormal”

16. vCenter Environment - Capacity Capacity How much time before Capacity run out? 0-100: Higher number, longer time. Thresholds User Configurable 30 Days Left = RED 60 Days Left = Orange Etc. Unlike Workload, Capacity is long-term. Capacity measured for critical resources CPU, RAM, Storage, Network Capacity Details View Shows the chart and trend for each of the above resources Denotes current state Projected breach point and days left

17. Performance Visibility Across the Virtualized Datacenter Full visibility up and down the datacenter stack Aggregates 100s of metrics into 1 intelligent score Drill into ESX server for further details

18. Intuitive, Web RIA-based user-friendly interface Context sensitive object hierarchy Breadcumbs to track object hierarchy Search and filter

19. Continuous, automatic learning of normal behavior for key metrics Workload issue correlated to net I/O constraints Quickly show Reservation vs Demand vs Usage

20. Drilldown to track changes Diagnostics relative to parent, peer and child objects Detailed display of events and health score changes

21. Visibility into Disk and Network IO performance Disk subsystem performance details by datastores and LUNs Network statistics for every NIC Quiz: what’s the difference between Total & Host?

22. Quickly identify “suspect” performance metric KPI history with timestamp to indicate root cause

23. Relative scores to prioritize any remediation efforts

24. Health tree with topology mapping Top-down visibility into health changes Time-series charts for individual metric

25. Individual performance metric details Single view that correlates multiple metrics Detailed list of all metrics indicating smart alerts

26. Visualisation quickly pinpoints hotspots Single click drill down for further details

27. Storage Since all the datastores are on the same array, how do we quickly tell the relative workload generated by every one of them? For each of these datastores, how do we know the relative workload generated by the VM? For every VM, how do we know the latency is within reasonable number? How do we show all the above data in “one chart”, without the need to show a lot of numbers?

29. Heatmap customisation

30. vCenter Operations Standard Architecture  Four Main Services: Collector, Analytics, Web, ActiveMQ  Bundled DB:  PostgresSQL DB  File-based DB (FSDB) for raw metric storage  Single Collector for vCenter. Embedded in appliance

31. vCenter Operations Standard Processing 2a: Analytics runs daily to determine hour-by-hour Dynamic Thresholds for next 24 hours 2b: Full FSDB is scanned by the analytic algorithms to determine per metric best match the next 24 hour period 1a: vCenter Collector collects metrics, topology & change events from vCenter - Ongoing - 1a: vCenter Collector collects metrics, topology & change events from vCenter - Ongoing - 1b: Data stored in FSDB 3: Incoming data points are tested against Dynamic Threshold bands and used to calculate Health, Workload and Capacity 2c: Store metric Dynamic Thresholds data in PostgresSQL DB 4: Results provided to UI: Update “Badges”, provide Root Cause for Health scores, etc.

32. VMware Configuration Manager

33. View available compliance templates Report on overall compliance posture Drill in to see detailed compliance analysis results

34. Pinpoint what systems failed what checks Fix compliance violations

35. Thank you!