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Web scale with-nutanix_rev
1.
Shea Stewart (Scalar),
Grant Innes (Nutanix) September 18, 2015 Web-Scale with Nutanix
2.
Agenda What is Web-Scale
all about? Why Nutanix for the business? Why Nutanix for IT departments? How it’s made What does it look like?
3.
What is Web-Scale
all about?
4.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 4 What is Web-Scale all about? § Hyper convergence on x86 servers § Integrated compute and storage on commodity platforms § All intelligence in software § 100% software-defined § Distribute everything § Cluster wide data and services § Self-healing system § Fault isolation with distributed recovery § API-driven automation and rich analytics § Data-driven efficiency
5.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 5 What is Web-Scale all about?
6.
Why Nutanix for
the business?
7.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 7 Why Nutanix for the business? Design Principles • Unbranded x86 servers: fail-fast systems • No special purpose appliances • All intelligence and services in software • Extensive automation and rich analytics • Distributed everything Benefits • Linear, predictable scale-out • Always-on systems • Fast innovation in software • Operational simplicity • Lower TCO
8.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 8 Why Nutanix for the business?
9.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 9 Why Nutanix for the business?
10.
Why Nutanix for
IT departments?
11.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 11 Why Nutanix for IT departments? XCP Components
12.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 12 Why Nutanix for IT departments? XCP Hardware
13.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 13 Why Nutanix for IT departments? XCP Software
14.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 14 Why Nutanix for IT departments? Prism
15.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 15 Why Nutanix for IT departments? Prism
16.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 16 Why Nutanix for IT departments? Prism VM Management Virtual Network Management Storage Management Cluster ManagementManagement Proactive Alert Analysis Service Impact Analysis Intelligent Root Cause Analysis Remediation Advisor Remediation Capacity Behavior Trends Capacity Optimization Advisor What-if AnalysisPlanning
17.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 17 Why Nutanix for IT departments? Acropolis
18.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 18 Why Nutanix for IT departments? Cloud Capabilities
19.
How it’s made
20.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 20 How it’s made Converged Platform H yp ervisorH yp ervisor S C S I C ontrollerS C S I C ontroller SSDSSD SSDSSD HDDHDD HDDHDD HDDHDD HDDHDD C ontroller V M C ontroller V M Storage I/O User V M(s)User V M(s) V M I/O C P UC P U Mem oryMem ory § Standard x86 Server § Local attached SSD / HDD § Controller per node § Controller runs as a VM § CVM resources can be dynamic
21.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 21 How it’s made Cluster Components
22.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 22 How it’s made NDFS
23.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 23 How it’s made NDFS I/O Path § OpLog -> Persistent write buffer § Flash -> High write I/O performance § Allows for coalescing of data § Extent Store -> Persistent data storage § ILM provides data tiering between SSD and HDD tiers § Content Cache -> Dynamic read cache § Deduplicated -> Cache hit efficiency § Multi-tier -> Larger cache size § Local -> Minimize latency S S D Mem ory H D D C ontent C ac he O p L og E xtent S tore E xtensib leC loud N A S , etc . C ac heD rain Random Sequential R ead I/OW rite I/O
24.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 24 How it’s made NDFS Data Protection – RF2
25.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 25 How it’s made NDFS Data Protection – RF3
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 26 How it’s made NDFS Data Protection Key Points § Protected § Data must be acknowledged by ALL replica nodes before write is ack’d § Always written to persistent storage (SSD) § Replicas are distributed in block aware manner for larger clusters § Consistent § A checksum is taken on write and stored in metadata § On any read the checksum is taken again and checked against that in metadata § Scale-out § All nodes are used for replication ◊ No “hot spots” § AND also re-protection
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 27 How it’s made What’s new?
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What does it
look like? (Demo)
29.
© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 29 What does it look like? Prism UI – Primary Dashboard
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 30 What does it look like? Prism UI – Cluster Health Checks • Cluster health runs health checks to monitor various entities • Schedules and thresholds can be customized • Provides historical information • Logical grouping to narrow down issues • Top-5 Health checks: § CPU Utilization § Disk usage § VM I/O Latency § Container space usage § Local Backup Availability
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 31 What does it look like? Prism UI – Performance Analysis § Statistics captured at three points in the I/O path § Hypervisor Stats –from hypervisor § Storage controller stats – from stargate process § Disk stats – from stargate process for I/O to Backend disks § Statistics information § Resolution is 30 second and retention period of 3 months § GUI consolidates stats as per the selected range. § Top-5 Useful Graphs § Physical Usage – A graph which has per-disk utilization can point to hotspots § Storage controller IOPS – Cluster and IOPS graphs. § Storage controller Latency – Cluster and node latency graphs. § Read/Write IOPS (%) - IO patterns. Backup jobs or updates? § Hypervisor CPU usage – Is CPU a bottleneck?
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 32 What does it look like? Prism UI – Performance Analysis
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 33 What does it look like? Prism UI – Top 5 Failure Scenarios § #1 Disk Failure § Stargate upon detecting a failed disk marks the disk offline § Curator starts replicating data that was on the failed disk § The status of resiliency is displayed on the prism UI § #2 Permanent Node Failure § Cluster detects a failed stargate process § Curator starts replicating data on the failed node § After 30 minutes node is removed from the metadata ring § After the metadata removal is complete, the cluster is back to old fault tolerance failed Node is not a zookeeper node. § VMs will need to be restarted on other nodes by the hypervisor’s HA process. § The status of the resiliency is displayed on the prism UI
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 34 What does it look like? Prism UI – Top 5 Failure Scenarios § #3 Temporary Node Down § Similar to a node failure scenario § Node re-added to the metadata ring if it was previously removed § Curator fixes over-replication § #4 Temporary Block Failure- cluster is NOT Block Aware § Cluster cannot tolerate more than one node failure at a time (RF=2) § Storage availability is impacted § Cluster auto recovers when the failed nodes are back up § Depending on the OS, VMs might need to be § #5 Temporary Block Failure- cluster is Block Aware § Cluster will continue to run § VMs will need to be restarted by the hypervisor’s HA process. § Performance can be degraded as the load on the cluster increases § Curator starts replicating the data to configured replication factor § Nodes will be removed from the metadata ring one at a time
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 35 What does it look like? Prism UI – NOS Upgrades § High level Workflow § Download NOS image – manual or automatic § Run pre-upgrade checks § Upgrade NOS § Upgrading NOS § New NOS is unpacked into a secondary partition on each CVM § CVM needs to be rebooted to switch to secondary partition § Hypervisor will use a remote CVM - Autopathing § A shutdown token is required for a CVM to reboot § Only after a CVM is fully upgraded, token is handed out to other CVM § CVMs are rebooted in a rolling fashion for the upgrade to finish § Any issues will cause the upgrades to stall requiring user intervention § Upgrades do not require down time
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 36 What does it look like? Prism UI – Alerts
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 37 What does it look like? Prism UI – Root Cause Analysis
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 38 What does it look like? Prism UI – Virtual Machine Management
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 39 What does it look like? Prism UI – Storage Management
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. 40 What does it look like? Prism UI – Capacity Management
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Resources http://stevenpoitras.com/the-nutanix-bible/ https://www.youtube.com/user/Nutanix http://www.nutanix.com/products/community- edition/
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© 2015 Scalar
Decisions Inc. Not for distribution outside of intended audience. Looking for more information? Check out our presentation on Hyper-convergence: The Leading Edge of Virtualization https://www.scalar.ca/en/resources/hyperconverged-infrastructure-the-leading-edge-of- virtualization/
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