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The Online Service Quality Solution
Bernd Harzog, CEO OpsDataStore Dave Wagner, CTO OpsDataStore
Company Overview
Team60 years collective experience in enterprise systems and Applications Management:
Bernd Harzog (CEO)Dave Wagner (CTO)Rich Salerno (VP, NYC)
Mike Boyle (Advisor)Todd Nist (VP Architecture)Joel Fortune (VP, Chicago)
40 years of collective experience building highly scalable and responsive big data systems
PartnershipsLaunch Partners:
VMwareDynatraceTableau
AppDynamicsExtraHopQlik
FundingSeries A investors include:
CitrixForte VenturesOsage Ventures (funded SevOne)
Frank Swain (former VP Sales for Splunk and AppDynamics)Mike Phelan (former CEO of SevOne)
StrategyFinally, solve the 25 year old online service quality problem across heterogeneous stacks and platformsProvide a common data plane for all management data and all management vendorsCreate an ecosystem of vendors that can collectively replace outdated frameworks with modern best of breed solutions and keep up with the pace of innovation
CitrixForte VenturesOsage Ventures (funded SevOne)
Finally, solve the 25 year old online service quality problem across heterogeneous stacks and platformsProvide a common data plane for all management data and all management vendorsCreate an ecosystem of vendors that can collectively replace outdated frameworks with modern best of breed solutions and keep up with the pace of innovation
What We Are Hearing
Everyone has too many incidents that coupled with lengthy problem resolution times impede IT and business agility
The business wants new and updated services delivered quickly and cheaply
The existing set of tools have not solved the incident and resolution time problems
Yet another monitor (YAM) is not the answer
The Resulting Reality
Huge waste of money and time in war room meetings and bridge calls trying to solve problems
Rapid rates of change and ever more distributed architectures make this problem more difficult to address
No architecture for management as it is done with an ad-hoc set of completely un-integrated tools.
Management always lags behind the latest deployed innovations (as the pace of innovation increases this problem gets worse)
The Solution OpsDataStore
An Open, Common Data Store for all Management Data and all Management Vendors
OpsDataStore The Foundation of the new Management Architecture that replaces Frameworks and Franken-Monitors
App Performance Mgmt
Autom
ation & O
rchestration
Application Aware - IPM
Cloud Management
Security
Operations Mgmt
Ops
Dat
aSto
reData Protection
The New Management ArchitectureLogs
Resource Utilization
Response Time
Configuration
Operational Status
Topology Sel
f-Lea
rnin
g A
naly
tics
Key OpsDataStore Features
Open Data Collection Architecture collect data from any platform, management tool or API
Dynamic Object Model all data is related at ingest time, stored in a graph database and shown in a topology map
Highly Scalable Real Time Back End designed for infinite horizontal scalability, high ingest rate and low latency queries
Open Query Architecture all data and topologies are accessible through a REST API and ODBC
Support for Tableau and Qlik user interface (dashboards) built in the two leading BI tools
OpsDataStore Object Model The architecture for Management
Transaction
Application
Tier
Virtual Server
ClusterData Store
Data Center
Tenant
Transaction Transaction
Physical Server
Objects, Metrics, Configuration Items, and Relationships through Time
OpsDataStore Product Architecture
ODBC/JDBC API
Ingest
Low Latency Scale Out Time Series DatabaseLow Latency Scale Out Time Series Database
Streaming
Message Bus
Object Model
Data Collector SDK
Errors
Capacity
Utilization
Throughput
Response Time
Topology Maps
Configuration Changes
Extra
Hop
Oth
ers
Dyn
atra
ce
AppD
ynam
ics
Graph Database
Tableau/Qlik
Que
ry
VMw
are
Que
ry
REST API
Customer Benefits Of OpsDataStore
Play offense use our analytics to prevent problems from becoming incidents
Dramatically reduce troubleshooting times due to a 360 degree view of your entire environment prevent revenue losses
Plan capacity in the context of transaction performance and throughput stop buying hardware out of fear and reap significant savings
Real Time IT Operations at Scale Instantly solve service delivery problems across disparate stacks and highly distributed environments
An architecture and an ecosystem of management software vendors that can keep up with the pace of innovation
Allow IT to deliver quality services to the business with agility
Accelerated and Proactive Root Cause Analysis
Example Problem
A business critical transaction is slowThe problem is not in the application software it is somewhere in the infrastructureWhere is it and what is causing it?
Select the Application with the Issue
TheeasyTravel
mobile
applicationis
havingaproblem
TheeasyTravel
mobile
applicationis
havingaproblem
Endtoendmapforall
virtualandphysical
resourcesforthat
applicationatthe
selectedtime
Endtoendmapforall
virtualandphysical
resourcesforthat
applicationatthe
selectedtime
Select the Transaction of Interest
Drilldowntothe
actual
Transactionof
interest
Drilldowntothe
actual
Transactionof
interest
Topologymapfor
theeasyTravel
Bookings
Transaction
Topologymapfor
theeasyTravel
Bookings
Transaction
End-to-End Metrics for that Transaction
Transaction
ResponseTimeis
persistently
abnormal
Transaction
ResponseTimeis
persistently
abnormal
Responsetime
issuecausedby
contentionon
Datastore2
Responsetime
issuecausedby
contentionon
Datastore2
What else is using Datastore2?
TopologyMap
foreverything
linkedto
Datastore2
TopologyMap
foreverything
linkedto
Datastore2
Datastore2
supportsfour
major
applications
Datastore2
supportsfour
major
applications
What is Causing the Contention?
ThePetstore
Databaseis
pounding
Datastore2
ThePetstore
Databaseis
pounding
Datastore2
ThePetstore
Databaseand
Easytravelshould
notbecolocated
ThePetstore
Databaseand
Easytravelshould
notbecolocated
Proactively Preventing Problems! Findallcases
whereDatastore
congestionis
impacting
Transactions
Findallcases
whereDatastore
congestionis
impacting
Transactions
Datastores2,3
and4areall
congestedand
impacting
Transaction
ResponseTimes
Datastores2,3
and4areall
congestedand
impacting
Transaction
ResponseTimes
THANK YOU
www.opsdatastore.com
The Online Service Quality SolutionCompany OverviewWhat We Are HearingThe Resulting RealityThe SolutionOpsDataStoreOpsDataStore The Foundation of the new Management Architecture that replaces Frameworks and Franken-Monitors Key OpsDataStore FeaturesOpsDataStore Object Model The architecture for ManagementOpsDataStore Product ArchitectureCustomer Benefits Of OpsDataStoreAccelerated and Proactive Root Cause AnalysisExample ProblemSelect the Application with the IssueSelect the Transaction of InterestEnd-to-End Metrics for that TransactionWhat else is using Datastore2?What is Causing the Contention?Proactively Preventing Problems! THANK YOU