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Kaseya In The Cloud
Server Optimization And Infrastructure
Considerations & Cloud
Presenters
Maxon Duncan
● VP, Cloud Operations & IT
Jacques Eagle
● Vice President, Cloud Architecture
Maxon Duncan
● VP, Cloud Operations & IT
Jacques Eagle
● Vice President, Cloud Architecture
Count the clouds ;-)
Obscene $$
Post name & count to #kaseyauc
Count the clouds ;-)
Obscene $$
Post name & count to #kaseyauc
Agenda
Planing, Scaling & Optimizing Kaseya
● Highly performant on-premises installs
Kaseya’s Cloud
● Benefits
● Under the hood
● How we do it
Recommend Configuration
Virtual Environments? YES!
Recommended Configuration
● Kaseya Can Scale to three servers:
● Resources for 1k agents
● .5 GHz App Server
● 1 GHz on DB Server
● Typical IOPS
● 15 Application Server
● 40 Database Server
Recommended Configuration
● Reporting Services can run on another server
● Typically, memory usage of reporting services is based on
50% of memory upon startup
● You can manually change the ReportServer.conf if
necessary to reduce
● C:Program FilesMicrosoft SQL ServerMSRS10_50.
SYSPREPReporting ServicesReportServer.conf
● <MemoryThreshold>90</MemoryThreshold>
● <WorkingSetMaximum>2000000</WorkingSetMaximum>
● <WorkingSetMinimum>500000</WorkingSetMinimum>
● <RecycleTime>720</RecycleTime>
Recommended Configuration
● Use Processor Affinity
Database Best Practices
It's all about SQL
Performance!
Database Best Practices
● AV Exclusions
● OS defrag & mdf/ldf locks
● Do not enable auto shrink on the
Ksubscribers database
● Above 8 cores, it's best to set parallel
query degree to 4
Database Best Practices
Setting Parallel Query
Database Best Practices
● Synchronous replication will cause
performance issues
● Always-On in SQL Server 2012 and
Replication can cause re-apply schema
to fail
Database Optimization
● Cache Hit Ratio > 98%
● DiskIO , keep it below 20ms
● TempDB, Broker Services and 6.3
● Seperate Networks
● Maintain it!!
● Rebuild/Reorganize Indexes
● Update Statistics
Database Optimization
Database Optimization
Typical Memory Usage of SQL Server
● Agents measured by cache/hit ratio
● Calculation is 2Gb/1000 Agents
● Reserve 4Gb Min for the OS
● Log retention and audit details = database
size
Database Optimization
● Optimal File Layout can help your
database Performance
● Kaseya Databases are typically 75%
Read and 25 % Writes
● Add multiple data files for Tempdb
Database Optimization
Hidden link - live demo
Database Optimization
Kaseya Application Server
● Kaseya recommended configuration is
a Guideline
● Kaseya and SQL on the same server?
How big can it get?
● workloads affect server performance
Kaseya Application Server
● Baseline Audits are “expensive”
● Baseline Audits only need to be run once
(Automatically run once when you add the
agents)
● Rescheduling when “out of sync” condition
● Latest Audits are “cheap”
● Can be run daily spread out over 12 hours
Kaseya Application Server
● Scripts do take resources, so be careful
how many you run
● Global Policy changes can generate
very large loads on the server
● Monitor counter scans can cause high
CPU spikes (6.2)
Kaseya Application Server
● Handling more load with threads
● Kserver Threads
● Messagesys Threads (6.2)
● PluginHost Service (6.3)
Hyper Scaling Kaseya
● Split server configuration
● Leveraging multiple SQL Server
Instances
● SQL Server Distributed Views
● For high volume installs
● aggregation apps
● for system of record
● Leveraging Solid State Technologies
Scaling Kaseya
FusionIO IODrive 2 SLC 1.2tb
5 SAS 15k drive array
FusionIO IODrive 2 SLC 1.2tb
Networking
Understand latency to endpoints
Leverage CDN's
OOB!!!!!!!!!!
● Most firewalls strip
Firewall Session Management
● 5510x @250k
Virtualization
● Set reserves
● Do not restrict, let it fly
● Don't oversubscribe
● Don't allow ballooning
● Backups / snapshots / revert
● Independant mode
● Use tiered storage
● Reduncancy?
Leveraging Cloud Providers
● Use VMware monitor counters if
possible to keep host honest
● Beware of adjacency issues
● Kaseya can be spikes
● Test, monitor and understand iops
● Port exhaustion
● Vett network
● Understand SLA's
The Kaseya Cloud.
Cloud Architecture
● Purpose built virtualized infrastructure
● - 3 tier, 10gbit storage (SSD, SAS, SATA)
● - vmdk placement according to
hotspots
● - fully redundant architecture
● - result: 15-20k endpoints on single
instance
Do you really want to deal with this?
Cloud Architecture
● Purpose built virtualized infrastructure
● 3 tier, 10gbit storage (SSD, SAS, SATA)
● vmdk placement hotspots
● fully redundant architecture
● result: 15-20k endpoints single instance
Benefits of Kaseya’s Cloud
● Secure, Robust, Flexible, Performant
● On demand service offering
● Global Delivery: Akamai / Presence
● Datacenter Presence
● 24x7 Operations staff
● Transparent: http://status.kaseya.com
● Managed Security
● Licensing
Kaseya’s Cloud Architecture
We are Kaseya’s biggest customer!
We know how to do this.
Kaseya’s Cloud Operations
● Monitoring
● ITIL Configuration Management
● Level 4 Remediation
Security
● IDS
● HIDS
● Security Audits
● Security Events & Incident Mgt (SEIM)
● Change management
● MFA
● Strong internal controls
Metrics
- 700k licensed / 250k online
- 3 gbps presence sustained
- 1pb KDB data managed
- 40 physical servers
- 4 TB memory
- 2.1 THz Processor
- Many many TB of SAN Storage
Dedicated
● Dedicated instances available
○ Outside the Cloud Box
○ Large scale customers
● On premises management
We love Dogfood!
● KAV
● BUDR
● Service Desk (ticketing, ITIL)
● 200 maintenance and remediation scripts
● KNM monitoring
● Patch management
Experience.
● 5 years delivery experience
● Highly trained staff
● Purpose infrastructure
● We own the kit
● We know what it takes.
Sign up today for a trial at Kaseya.com
Questions?
Cloud count =
42

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