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Transforms Document Management at Scale with Distributed Database Solution with DataStax and HP Moonshot

Chris KingVP Operations & Infrastructure@chriskingcloud

Dr. Antonis Papatsaras Chief Technology Officer@anton1s

Thank you for joining. We will begin shortly.

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All attendees

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Input questions at any time

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Webinar Housekeeping

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Agenda

• Overview of SpringCM

• Growth Requirements

• The Challenges

• Achieving scale by using DataStax Enterprise + HP Moonshot

• Our Approach

• Lessons Learned

• The Future

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Black & White Photo With TextSubtitle for black and white photo

Solving the Contracting Challenge

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Who We AreA secure cloud platform that manages contracts and all types of documents seamlessly across desktop, mobile and partner applications like Salesforce.

What We DoWe go beyond standard contract and document management with advanced workflows that automate manual tasks and complex processes to ensure accuracy and speed time-to-revenue.

Who We Do It ForSales-driven businesses use SpringCM to optimize collaboration and processes across Sales and Legal, as well as with prospects and customers.

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What powers our contract management solution

Powerful document centric platform with over 200 enterprise grade features

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3rd Party Apps

Desktop Sync

Mobile Apps

Web PortalsBrowser

SpringCM delivers Document Management in the CloudIt is easy and secure to work with your content in the cloud

SecurePlatform

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Strategic Initiatives

• Scale the business to support 1000x the number of customers today

• Support PBs of data

• Replace our current Reporting Engine

• Support Multiple data centers across the globe

• Reduce datacenter footprint and energy costs

• Increase performance across all major SpringCM site actions

• Support 1000x API traffic

• Increase efficiency in maintaining the platform

• Embrace Continuous Delivery methodology

• Zero data loss

• Zero downtime

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Challenging Components of the Platform

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Challenging Components of the Platform

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SpringCM scales by using DataStax Enterprise + HP MoonshotWith an equivalent capital investment (comparisons to DL360s) :

• Write Events

- 3X the capacity to execute workflow steps (10X more than SQL)

- Nearly 100% reduction in locking events on object metadata

- 3X increase in capacity to apply metadata to objects (Due to locking avoidance, 30X more than SQL)

• Deletion Events

- Nearly transparent ability to delete rows on a retention schedule because of TTL capability

• Read Event

- General ability is 6-7X faster during high read load periods

- During equivalent read-to-write load periods, it’s about 4X faster

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Our Approach

DataStax Enterprise

HP Moonshot System

HP DL360s / DL380s

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Our Approach – DataStax Enterprise

• Most mature NoSQL solution

• Community based, used by the top players

• Elastic technology

• Ring base architecture

• Cost effective

• Time to Live features

• Easy to manage / maintain

• Extendable (native support for Spark, Solr )

• Highly available

• Geo-replication of data

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Our Approach – HP Moonshot System

• Ideal for high volume bursts of data changes

• Economical high node to TB ratio

• 45 servers in 4u space, 40Gbit Network, No cabling per cartridge

• 70% power savings over traditional rack server architecture

• Speeds time to market by simplifying platform requirements

• Drive down TCO and deliver a smaller, denser compute architecture

• In a data center with 30A / 208V powered cabinets, we can run 2-3X the amount of data per cabinet equivalent

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Our Approach – ProLiant DL servers

• More affordable for time series data such as

– Logs

– History

– Audit data

– Other

• Ability to have large capacity nodes

• Economical as we re-used old hardware

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Lessons Learned• Prepare your team for the task ahead

– DataStax Consultation in house

– Eventual consistency

– Know your query before you build your table

– Know your access patterns

– Send key members to training

• Make a technology decision based on data/trust

• Dealing with hybrid environments - culture

• Start small, grow as you gain confidence

• CQL is comforting

• DataStax & HP Support is awesome

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The Future

• Continue to reduce the size our SQL footprint

• Use Solr to re-engineer our Reporting engine

• Use Spark to enhance our back end analytics engine

• Materialized views

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Q&AInput questions at any time

using the online interface

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Thank you.Chris KingVP Operations & Infrastructure@chriskingcloud

Dr. Antonis Papatsaras Chief Technology Officer@anton1s