© 2017 SPLUNK INC.© 2017 SPLUNK INC.

Splunk

Delivering the Promise of DevOps

Prakash Vyas | ITOA Market Specialist

Apr 2019

© 2017 SPLUNK INC.

During the course of this presentation, we may make forward-looking statements regarding future events or

the expected performance of the company. We caution you that such statements reflect our current

expectations and estimates based on factors currently known to us and that actual events or results could

differ materially. For important factors that may cause actual results to differ from those contained in our

forward-looking statements, please review our filings with the SEC.

The forward-looking statements made in this presentation are being made as of the time and date of its live

presentation. If reviewed after its live presentation, this presentation may not contain current or accurate

information. We do not assume any obligation to update any forward-looking statements we may make. In

addition, any information about our roadmap outlines our general product direction and is subject to change

at any time without notice. It is for informational purposes only and shall not be incorporated into any contract

or other commitment. Splunk undertakes no obligation either to develop the features or functionality

described or to include any such feature or functionality in a future release.

Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in

the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners. © 2017 Splunk Inc. All rights reserved.

Forward-Looking Statements

THIS SLIDE IS REQUIRED FOR ALL 3 PARTY PRESENTATIONS.

© 2017 SPLUNK INC.

Devops to create a cultural output to

drive collaboration, automation,

sharing and learning.

To see the progress of my Digital

Transformation programmes in

real-time with changes in CI/CD.

My application delivery to be secure,

whilst also being frictionless for my

engineers and users

All of my DevOps tools and

practices to work holistically,

as well as being locally

optimised.

“I EXPECT…”EXECUTIVE SUMMARY“Executives have a rosier view of their DevOps progress than the teams they manage.” – State of DevOps Report 2018

© 2017 SPLUNK INC.

Outcomes from DevOps Roundtables

END TO END

BUSINESS

KPIs

END TO

END

ANALYTICS

TO

OPTIMISE

CI/CD

BU

SIN

ES

S V

ALU

E

TECHNICAL VALUE

DRIVING VALUE

& LEVERAGING

EXISTING TOOLS

HOLISTIC

AVAILABLITY

OF SERVICES

&

PLATFORMS

DEVELOPER /

TEAM ANALYTICS

CUSTOMER

JOURNEY

Very high focus on the business

value of DevOps

aligning to Customer Experience

© 2017 SPLUNK INC.

DevOps Lifecycle Analytics: Splunk Capability

Application Lifecycle Analytics

Code

Analytics

Build

Analytics

Quality

Analytics

Config

Analytics

Release

Analytics

Value Stream Analytics

Busin

ess Im

pact

Analy

tics

DevOps Organizational Analytics

Resource Analytics DevTeam Analytics Cost Analytics

CI-Aligned Task

Automation

Continuous

Learning

Organizational

Alignment

Agile Team

Collaboration

Continuous

Delivery

DevO

ps M

atu

rity

DevOps Lifecycle

Plan Code Build Test/QA Stage Release MonitorConfig

TAs, HEC, etc.

© 2017 SPLUNK INC.

KPIs across the lifecycle for value-stream management

Splunk for

Lifecycle Analytics

▶ Key Metrics:

• Cycle time

• Story completion

• Deployment rate

▶ Data Sources:

• Jira

• Bamboo/Jenkins

• BitBucket

© 2017 SPLUNK INC.

Structure of the WorkshopObjectives

Validate session findings, ensure

alignment on solutions, priorities

and business benefits. Deliver

and review proof of value.

Outcome• Future State Design of Logical

and Functional DevOps in

your organization

• Maturity Model

Outcome• Collaborative roadmap for

solution implementation,

adoption and transformation.

• DevOps Value Path

Joint strategic assessment of

what is happening in the market

and how Splunk is delivering

outcomes in Application, Team

and Digital Transformation

Analytics.

Outcome• Priorities to drive visibility,

collaboration, automation and

KPIs

Step 1

Your team and what is happening

today and target desired state (

Plan, Build, Test & Release)

Most Immediate challenge and

impact to organisation &

Application Delivery performance

Step 2 Step 3

Current State of DevOps Data Driven DevOps Roadmap & Future State

Design

The DevOps future state workshop is an opportunity for customers to learn how Splunk is being used in the market to provide actionable insights in software development and release operations.

The workshop provides structured guidance and recommendations based on what Splunk is seeing in the market and how customers ‘peer groups are using data analytics to drive decisions to improve quality and velocity in develops.

© 2017 SPLUNK INC.

Copyright © 2015 Splunk Inc.

Proven DevOps Outcomes……Repeat Time and Again

© 2017 SPLUNK INC.

WHY SPLUNK?Business Outcomes

Accelerate

Delivery Velocity

Get from idea to customer faster

by rapidly finding and removing

delivery bottlenecks, waste, and

other workflow issues that add to

cycle time

“We can monitor automation and

handoffs to deploy 5-10 times a day.”

Improve

Application Quality

Enhance customer experience and

site reliability by using data analytics

for better dev, test, release, and

support decisions and faster MTTI,

MTTR

“Our devs are able to find and fix

issues 5-10 times faster.”

Increase

Business Impact

Drive continuous improvement

using data-driven feedback

loops to share business-

relevant insight from real user

behavior and application use

“My code isn’t ready until

it’s Splunk-ready.”

Drive continuous improvement

using data-driven feedback loops

to share business-relevant insight

from real user behavior and

application use

• Reduced target application’s error rate

by 2 orders of magnitude in a

matter of weeks

• More than 30 developers use Splunk

• Accelerated code quality deployment time

by 30%

• Gained back 12 developers• 4 TB on AWS

© 2017 SPLUNK INC.

Successful Businesses use Splunk for DevOps

© 2017 SPLUNK INC.

Customer OutcomesUsing Splunk Analytics for DevOps

• Code Check-In to deploy in 20 mins

• 900 deploys per day

• Gained back 12 developers• 4 TB on AWS

• More than 30 developers use

Splunk

• Accelerated code quality

deployment time by 30%

• Developers are detecting errors

and troubleshoot issues up to

10 times faster

• Reduced target application’s error

rate by 2 orders of

magnitude in a matter of weeks

• Increased success rate of deployments

• Ability to detect issues before they

affect broad production

• Monitoring deployment process several

times per day

© 2017 SPLUNK INC.

Thank You

© 2017 SPLUNK INC.

▶ Key Customer Benefits

• Increased success rate of deployments

• Ability to detect issues before they affect broad production

• Monitoring deployment process several times per day

Improved DevOps Agility

“It’s like we were working without peripheral vision before and now we have it.”– Robert Gonsalves, Web Operations

MEDIA & ENTERTAINMENT – APPLICATION DELIVERY

© 2017 SPLUNK INC.

▶ Key Customer Benefits

• Provide full visibility into QA sanity and load testing before production

• Exceed SLA thresholds with full visibility and benchmark key infrastructure metrics and errors

• Easily troubleshoot if tests do not contain the expected results

Deliver Better Code Quality

“Developers are now able to look for errors and troubleshoot issues five to 10 times faster by having all their event data centralized in Splunk.”– Principal Engineer, Apollo Group

EDUCATION – APPLICATION DELIVERY

© 2017 SPLUNK INC.

▶ Key Customer Benefits

• Quickly validate and troubleshoot code pushes to production

• Ensure that new code does not negatively impact performance or user experience

• Reduced one application’s error rate by 2 orders of magnitude in a matter of weeks

Enable Data-Driven Continuous Delivery

“Dump all the logs into Splunk, and it starts looking like one big system, instead of a bazillion teeny ones that hate each other.”– Alison Perkins, Senior Systems Engineer

TECHNOLOGY – APPLICATION DELIVERY

© 2017 SPLUNK INC.

Splunk for Product Lifecycle Analytics

Use Cases, Examples, Screens, and Concepts

© 2017 SPLUNK INC.

Splunk Provides Analytics At Every Phase of The Product Delivery Lifecycle

• resource usage

• idea to cash

• unplanned work

• code volume

• code complexity

• commit rate

• build speed

• build failure rates

• manual exceptions

• test volume

• code coverage

• exception counts

• configuration drift

• remediation time

• provisioning time

• performance

• latency

• scalability

• response time

• uptime/availability

• resource usage

• revenue

• signups

• satisfaction

Plan Code Build Config Stage Release MonitorTest/QA

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Insight and prediction for effective resource allocation

Splunk for

Resource Analytics

▶ Key Metrics:

• Work time vs. PTO/sick

• Hours by product/project

• Resource shortages

▶ Data Sources:

• Jira

• WorkDay

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Measurement and predictability for cost control

Splunk for

Cost Analytics

▶ Key Metrics:

• Productive hours

• Labor costs

• Plan vs. actual

▶ Data Sources:

• WorkDay

• PeopleSoft

© 2017 SPLUNK INC.

Insight to coder activity for teaming & work/life balance

Splunk for

DevTeam Analytics

▶ Key Metrics:

• Commit count

• Commits by author

• Commit days/times

▶ Data Sources:

• GitHub

© 2017 SPLUNK INC.

Real-time data on code quality and compliance

Splunk for

Code Analytics

▶ Key Metrics:

• Code policy compliance

• Code/file/class complexity

• Code analysis coverage

▶ Data Sources:

• GitHub

• Sonarcube

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Find and fix build issues to accelerate product lifecycle

Splunk for

Build Analytics

▶ Key Metrics:

• Build success/failure

• Build queue status

• Build process times

▶ Data Sources:

• Jenkins

• Sonarcube

© 2017 SPLUNK INC.

Automatically review QA results to improve quality

Splunk for

Quality Analytics

▶ Key Metrics:

• Defects detected

• Test coverage

• Test executions

▶ Data Sources:

• Selenium

• AppScan

• ServiceNow

© 2017 SPLUNK INC.

Monitor provisioning/config to accelerate time to ‘done’

Splunk for

Config Analytics

▶ Key Metrics:

• Provisioning success/failure

• Provisioning times

• Config drift by node

▶ Data Sources:

• Puppet

© 2017 SPLUNK INC.

Real-time data for better, faster release decisions

Splunk for

Release Analytics

▶ Key Metrics:

• Availability by release

• Tickets by release

• Release readiness

▶ Data Sources:

• ServiceNow

• SonarCube

• HP OpenView