Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF UK - August 2013

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©2013 GoodData Corporation. All rights reserved. SOFTWARE ENGINEERING IN THE AGE OF SAAS AND CLOUD COMPUTING Jaroslav Gergic VP, R&D and Operations, GoodData [email protected] SERA 2013 @ MFF UK August 7 2013

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Abstract: Cloud computing is accelerating the pace of migration from on-premise behind-the-firewall software deployment to Software as a Service (SaaS) subscription based delivery model. While accelerated innovation cycle and reduced time to value enabled by the above paradigm shift are well recognized due to their direct business impact, it is often overlooked how the new delivery model is affecting software engineering itself in terms of tools, processes as well as of its theoretical arsenal needed to develop cloud applications. Updated GoodData platform statistics as of Q2 2013!

Transcript of Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF UK - August 2013

Page 1: Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF UK - August 2013

©2013 GoodData Corporation. All rights reserved.

SOFTWARE ENGINEERING IN THE AGE OF SAAS AND

CLOUD COMPUTING

Jaroslav GergicVP, R&D and Operations, [email protected]

SERA 2013@ MFF UK

August 7 2013

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©2013 GoodData Corporation. All rights reserved.

OUR AGENDA● Introduction ● Software as a Service● Cloud Computing● Impact on Software Engineering● Discussion

© 2013 GoodData Corporation. All rights reserved

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©2013 GoodData Corporation. All rights reserved.

Reporting & BI has always been aVALUE CHAINMultiple PRODUCTSMultiple DEVELOPMENT CYCLESHigh IMPLEMENTATION COSTSHigh SUPPORT COSTSDedicated HARDWAREDedicated IT RESOURCES

Data Warehouse

Report

ETL

Datamart Datamart

Cube Cube Cube

Dashboard XLS

The old way…

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©2013 GoodData Corporation. All rights reserved.

Our Discussion

Agenda points

OUR VISION IS TO CHANGE THE WAY THE WORLD EXPERIENCES BUSINESS INTELLIGENCE.

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OPEN CLOUD BI PLATFORM

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WHY GOODDATA

73,000 Satisfied Users

99.5% Uptime SLA

84.7%Adoption

20B Rows Under Management

50+PoweredBy Partners

1,000,000 data integrations per week

28kUsers at one customer

Security Certified

20,000Data Warehouses Under Management

1Delightful Interface

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OUR CUSTOMERS

UNLOCK DATAUNITE DATA MONETIZE DATA

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Traditional Enterprise Software vs. Software as a Service

● hosted by SaaS provider

● shared Infrastructure● economies of scale

● hosted by customer● HW & Infrastructure

costs borne by customer

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Traditional Enterprise Software vs. Software as a Service

● integrated solution delivered over the Internet

● multiple HW/SW vendors

● SW integrators

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Traditional Enterprise Software vs. Software as a Service

● integrated solution delivered over the Internet

● single codebase for everybody

● functional & business consulting

● multiple HW/SW vendors

● SW integrators● frequent code

customizations● armies of technical

consultants

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©2013 GoodData Corporation. All rights reserved.

Traditional Enterprise Software vs. Software as a Service

● integrated solution delivered over the Internet

● single codebase for everybody

● functional & business consulting

● customer configuration changes possible

● multiple HW/SW vendors

● SW integrators● frequent code

customizations● armies of technical

consultants● blurred line between

code and configuration changes

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Page 12: Software Engineering in the Age of SaaS and Cloud Computing - SERA 2013 - MFF UK - August 2013

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SAAS - FOCUS ON CUSTOMER VALUE

● simplified and consolidated infrastructure allows to focus on customer features instead of technicalities

● easier to accumulate expertise and best practices in a particular domain or industry vertical

● enabling customers to benefit from collective knowledge

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SAAS - FASTER INNOVATION CYCLE

● traditional enterprise SW:○ annual or semi-annual cycle

● SalesForce.com pioneer of Enterprise SaaS:○ seasonal releases

● GoodData: major release every month○ minor updates 2 x week

● Next Stop: Continuous Delivery

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Cloud Computing

"Cloud computing relies on sharing of resources to achieve coherence and economies of scale similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services."

(source: Wikipedia)

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Cloud Computing

= Democratization of

SaaS

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Cloud Computing

● public computing clouds further lower the capital needed to starta SaaS company

● elasticity of clouds lets companies scale quickly and just-in-time with little capital expenditure up-front

● cloud computing has become the catalyst expediting the transition from traditional behind-the-firewall software to SaaS

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©2013 GoodData Corporation. All rights reserved.

3 Questions

Our Discussion

Agenda points

WHAT ISTHE IMPACT ONSOFTWARE ENGINEERING?● the game has changed a lot...

● … if you happen to be in SaaS

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● dynamics of change has increased significantly from months to weeks

● vast scale of SaaS deployments means hitting HW / SW limits all the time

● SaaS requires tightly IntegratedR&D + Operations + Customer Service

(note the second uppercase ‘S’ in SaaS)

WHAT HAS CHANGED?

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● increased dynamics of change too many fast changing variables

● hitting HW / SW limits all the time hard to model and predict the next hot spot layered approach does not work anymore

● Ops / Customer Experience / Service software engineers need to broaden their skill set

WHAT DOES IT MEAN?

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DEVELOPING SAAS PRODUCT

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think about operational aspects:● security

IDS systems, audit logging regular penetration testing

● performance collect statistics at runtime identify hot-spots and remove on the fly

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DEVELOPING SAAS PRODUCT

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● deployment automation operating hundreds of servers virtual servers become equivalent to processes in the traditional model

● monitoring and logging alerts, troubleshooting and debugging huge volume log files - grep no longer helps

Beware: The code you write can wake you up in the middle of the night! (Literally speaking.)

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DEVELOPING SAAS PRODUCT

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● It is not only about developing software, it is also about running it on behalf of customers:

monitoring, error reporting & alerting ongoing performance optimizations & fine tuning incremental feature rollouts (risk mitigation)

● All the above influences the way you should architect and develop your software and technologies you use.

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©2013 GoodData Corporation. All rights reserved.

Our Discussion

Agenda points

KEYS TO SUCCESSIN SAAS● BE AGILE

YOU CAN’T PREVENT STUFF HAPPENING YOU SAVE THE GAME IF YOU CAN FIX FAST

● BE FLEXIBLE EMBRACE CHANGE ONLY CHANGE IS GUARANTEED TO HAPPEN

● BE VERSATILE END USER EXPERIENCE IS CRUCIAL IN SAAS OWN IT - NO HANDOVERS

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THANK YOU!

Questions?