3. 3
… Plaguing IT Operations
SaaS/PaaS
IaaS
VIRTUALIZATION
STORAGE
PACKAGED
APPLICATIONS
CUSTOM
APPLICATIONS
HR
Email
Finance
App Svr
DB
Web Svr
INFRASTRUCTURE
APPLICATIONS
VPN
IP Phone
Identify
SERVERS NETWORKING
Complex, silo-based technologies
Disconnected and outdated point solutions
Reactive brute-force problem resolution
Over 80% of time on maintaining, not innovating
4. 4
Powerful Cross-Tier Operational Analytics
Harness IT data for business decision-making
Data-driven
decisions
across the
enterprise
Forecasting and Planning
Root-Cause Analysis
Proactive Alerting
User/Usage Analytics
Change Monitoring
Security and Forensics
5. 5
Splunk Differentiators
Capture, retain, correlate and analyze ALL data
Reduced MTTR
From proactive monitoring to correlation and operational analytics Improved user
experience
Index data once for multiple uses: capacity planning, help desk support,
security, troubleshooting, audit, SLA reporting, change tracking
Reduced costs
Scale to handle the largest, most complex datacenters
Greater
productivity
Universal Machine Data Platform
Fast Time-to-Value
Scales From Desktop to Enterprise
Real-Time Architecture
6. How Credit Suisse Makes Significant
Savings Using Splunk
Grid computing management
& monitoring
Significant savings from IT operations
& application management
Measuring CPU, memory, OS and
application metrics
7. 7
DevOps Workflow Is Complex
Build
(Jenkins,
Bamboo)
Code
(Git,
MS-TFS)
Plan
(JIRA,
Rally)
Test/QA
(Cucumber,
SonarQube)
Stage
(Pivotal,
AWS)
Release
(Jenkins,
Octopus)
Datacenter
Device
Data
Engagement
Data
Config
(Puppet,
Ansible)
Monitor
(New Relic,
Dynatrace)
Cloud Services Network Services
www/HTTP
Data
Social
Sentiment
Wire
Data
Application
Data
Continuous Integration (CI)/Continuous Delivery (CD)
Site Reliability Engineering
Business Impact Monitoring
API ServicesSecurity/Compliance
8. 8
Increase App Delivery Velocity
DevOps Teams iterate with
continuous insights
Product Managers
identify new
opportunities
Code continuously delivered
to market
Auditors
have visibility
Customers
are happy
8
9. ENABLE DATA-DRIVEN
CONTINUOUS DELIVERY
-Alison Perkins,
Senior Systems Engineer
“Dump all the logs into Splunk,
and it starts looking like one big
system, instead of a bazillion
teeny ones that hate each
other.”
Validate Code Push Quality
Against Known Patterns
Appication Errors Reduced
By 2 Orders of Magnitute
Ensure New Push Versions
Provide Improved User Experience
Ensure Uptime For
Premium Customers
10. Does This Sound Familiar?
“My CIO is demanding we look at IT from a business service perspective.”
“Splunk is great for break-fix, but I need to show we’re meeting SLAs.”
“I need everyone to be able to see the same thing at the same time.”
“I just want to throw data at Splunk and have it find problems for me.”
“Show me what my data can do for me!”
11. What Is Service Intelligence?
Enabling a business-aware IT
Measuring and reporting on indicators that matter
Unlocking operational efficiencies
Collaborating across silos to improve service operations
Data-based decision making
Solving problems and anticipating pitfalls with
sophisticated analytics and powerful insights
14. Machine Learning-Powered, Analytics-Driven IT Operations
Splunk IT Service Intelligence
Simplify service operations
Prioritize incidents with context Redefine the role of IT
Combine events & metrics
across silos with ease,
flexibility & scale in days
Unify siloed monitoring
Leverage machine learning to
detect anomalies & highlight
events that matter
Deliver business & service context to
prioritize incident investigation & action
Support decisions & communicate results
with powerful service-level insights
Lots of disparate and complex and siloed based solutions If you need to find a solution to a problem you maybe need to get a war room ready, finger pointing and trying to debug an issue in production environment. You maybe using hours and hours trying to find a solution. Often times it is a brute force approach when you need to restart the system, so brute-force approach is something used.
So IT is no longer spending time on innovating but losing valuable time on keeping the the lights on or fighting fires.
Industry: Financial Services
Use case: IT Ops
http://www.computing.co.uk/ctg/analysis/2374177/credit-suisse-saves-gbp500k-a-month-using-splunk-with-oracle-database-set-to-be-decommissioned
However, DevOps is complex and consists ‘loosely connected’ tools, especially new solutions for Continuous Integration (CI) and Continuous Delivery (CD), that automate the various aspects of the application lifecycle, from application planning through project management, code management, build automation, test automation, provisioning, configuration, release, and monitoring
Similarly in Ops, the environment is becoming much more complex and disjointed, demanding Site Reliability Engineers understand what is happening in a massively complex ecosystem. From on-site and legacy data center systems to cloud and SaaS services, network and storage infrastructures including SDN, SDS, and SDDC, security and compliance posture, and an increasing number of third party and internal services accessed solely through APIs.
All the while, Devs, Ops, and the rest of the delivery team are being told they must ‘align with the business’, without having any real visibility, let alone understanding, of how a DevOps-oriented delivery lifecycle directly impacts business goals like user signups, cart fulfillment, customer satisfaction, social sentiment, or revenue.
Fast feedback obtained with analytics improves app delivery velocity. From code definition to production, having insight for all the teams leads to less bugs, faster testing, faster releases, less production issues and accelerated innovation.
Deliver end-to-end visibility across every DevOps toolchain component
Iterate faster with correlated insight across the application delivery lifecycle
Improve DevOps team efficiency by measuring and benchmarking release contributions
Challenges:
No single place to access and visualize machine data
Manual diagnosing and searching through data generated by servers and applications
To retrieve information, sysadmins have to ssh into production machines before sending off to developers to grep through the logs
With Splunk:
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
Splunk is a scalable platform for machine data, that allows you to interact with the data to solve various use-cases. Initially we were founded one enabling IT administrators to solve IT challenges but over the years we’ve manifested this into various other use cases including Application Management, Security and Compliance (the top 3 being our core use-cases) and the evolving use cases are around Business Analytics and IoT, all of which has been led by our customers.
As our customers grow their asks from Splunk also began to evolve. They were looking for an integrated holistic packaged solution that will not only help them break-down silos, but apply machine learning to enable their IT practitioners to help arm them with the right data at the right time. They want to exploit the data they have within Splunk to discover new ways to improve their operations and drive business priorities and growth. Our customers wanted to up-level the insight machine data gave them. Not only did they want to immediately address the operational problems but also wanted visibility into whether they are meeting SLA’s, what impact performance is having to the business.