The Online Service Quality Solution. Bernd Harzog, CEO OpsDataStore Dave Wagner, CTO OpsDataStore

Transcription

1 The Online Service Quality Solution Bernd Harzog, CEO OpsDataStore Dave Wagner, CTO OpsDataStore

2 Company Overview Team 60 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 Funding Series A investors include: Citrix Forte Ventures Osage Ventures (funded SevOne) Frank Swain (former VP Sales for Splunk and AppDynamics) Mike Phelan (former CEO of SevOne) Partnerships Launch Partners: VMware Dynatrace Tableau AppDynamics ExtraHop Qlik Strategy Finally, solve the 25 year old online service quality problem across heterogeneous stacks and platforms Provide a common data plane for all management data and all management vendors Create an ecosystem of vendors that can collectively replace outdated frameworks with modern best of breed solutions and keep up with the pace of innovation

3 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

4 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)

5 The Solution OpsDataStore An Open, Common Data Store for all Management Data and all Management Vendors

6 OpsDataStore The Foundation of the new Management Architecture that replaces Frameworks and Franken-Monitors Logs The New Management Architecture Resource Utilization Response Time Configuration Topology Self-Learning Analytics OpsDataStore Cloud Management App Performance Mgmt Application Aware - IPM Operations Mgmt Security Data Protection Automation & Orchestration Operational Status

7 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

8 OpsDataStore Object Model The architecture for Management Transaction Transaction Transaction Application Virtual Server Physical Server Tier Data Store Cluster Tenant Data Center Objects, Metrics, Configuration Items, and Relationships through Time

9 OpsDataStore Product Architecture Ingest VMware AppDynamics Dynatrace ExtraHop Data Collector SDK Object Model Message Bus Streaming Others Configuration Changes Topology Maps Response Time Throughput Utilization Capacity Errors Query Tableau/Qlik Query Graph Database REST API ODBC/JDBC API Low Low Latency Latency Scale Scale Out Out Time Time Series Series Database

10 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

11 Accelerated and Proactive Root Cause Analysis

12 Example Problem A business critical transaction is slow The problem is not in the application software it is somewhere in the infrastructure Where is it and what is causing it?

13 Select the Application with the Issue The easytravel mobile application is having a problem End to end map for all virtual and physical resources for that application at the selected time

14 Select the Transaction of Interest Drill down to the actual Transaction of interest Topology map for the easytravel Bookings Transaction

15 End-to-End Metrics for that Transaction Transaction Response Time is persistently abnormal Response time issue caused by contention on Datastore2

16 What else is using Datastore2? Datastore2 supports four major applications Topology Map for everything linked to Datastore2

17 What is Causing the Contention? The Petstore Database is pounding Datastore2 The Petstore Database and Easytravel should not be co located

18 Proactively Preventing Problems! Find all cases where Datastore congestion is impacting Transactions Datastores2, 3 and 4 are all congested and impacting Transaction Response Times

19 THANK YOU