Keynote - Cloud Experiencesopan shewale

Web Application – Traditional Architecture

Web Application -Issues with Traditional Style

Web Application-Cloud Enabled

Clouds Short History-initializers

Key Elements for Cloud Success-Automation

Key Elements for Cloud Success-Monitoring and Recovery

Big Data – kind of part of cloud

Agenda

Web Applicationtraditional architecture

Application

Databases

Web Servers

Web ApplicationIssues with Traditional Style

Application

Databases

Web Servers Application Development

Technology

Application Hosting

Deployment

Upgrade

Patches/Customization

Systems Administration

OS Administration

Hardware

LAN/WAN

Resources – People

Web ApplicationCloud Enabled

infrastructure

storage platform

Application

Resources: Adopt new Style

Developers

Systems Administrator-with new Cap , called DevOps

Scalability – elasticity

Performance

Cost –Metering

Self service – log/data

Auto-Patching

Helps focus on Business

Clouds Short History-initializers

Year 1999: Salesforce.com , Delivery of applications via website

Year 2002: Amazon , started Amazon Web Services,

storage,

computation

Human/business intelligence

Year 2006: Amazon, Elastic Compute Cloud

Year 2009: Google Inc, Google Apps. Developing Applications made easy

Key Elements for Cloud SuccessAutomation

Deployment: Stamping of new Customer Environment should be automated/Easy (in one or two manual steps)

Day to Day maintenance: Least interaction with Developers, other stake holders. Only DevOps able to manage (in automated fashion)

Patch Management, Customization: Least manual steps

Restore/Copy /DR- Automated way

Key Elements for Cloud SuccessMonitoring and Recovery

SLA’s – Four or Five 9’s (four nines is 99.99% year uptime)

API’s opened in Application itself – to suggest the feature is up and running

In case of issues – suggested actions to repair

Alerts – in case of any non-expected results

Could be via emails, SMS, pagers

Failover actions – recover mechanisms integrated with monitoring infrastructure

Big Data

Splunk - commercial

Logstash – Open Source

How does this stuff works?

Helps find trends/build BI on -Structured data, Unstructured Data

Helps enrich Unstructured Data (especially on log files) by adding meta-data, build Applications using those meta-data

Nothing but search – on log files

Big Data – kind of part of cloud

Reading-Novels

Thank you!sopan.shewale@gmail.com