Want to know how others enterprise customers are using cloud? This deck lists some real life examples of how enterprise customers are using public and private.

1. Delivering real world results
from cloud deployments
Joel Friedman
Chief Technology and Security Officer, Datapipe

2. Datapipe are Experts in the Cloud
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Gartner MQ for Cloud-Enabled Managed Hosting, 2015 Forrester Hosted Private Cloud Wave Study, 2014

3. Security
Datapipe’s industry-leading advanced
security services provide:
• Intrusion detection and threat
management
• Security event and log analysis and
management
• Data encryption for multiple platforms
• Two-factor authorization for role-based
and user-based access control
• Web application firewall to protect
against internet-based threats
Secure Controls
Secure Administration
Secure Infrastructure
The Datapipe Security Method
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4. Security Use Cases
Architected and deployed a true PCI compliant hybrid IT solution. The
enterprise application environment maintained PCI compliance across
the AWS environment and a managed, physical Oracle database.
Deployed and managed a multi-region ticketing system using a PCI
compliant hosted private cloud. Led the client migration of applications
to a PCI environment, providing a global compliant footprint for
business expansion.
Quickly and efficiently enforced compliance of environments through
instrumentation and “auto-fix” – sensing and responding to issues or
changes and reverting the environment to compliant standards.
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5. Automation & Orchestration
Datapipe uses multi cloud
automation and orchestration tools
to:
• Optimize the deployment of multi-
Cloud environments
• Improve response times through
Standard resource configurations
• Reduce errors through standards
management
• Full cloud services lifecycle
management
• Quickly deploy updates and patches
Best Practices
Automation Tools
Self Healing Configuration
The Datapipe Method
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6. Automation & Orchestration Use Cases
Automated the deployment of a large-scale e-commerce production
environment on AWS, spinning up the environment in 4 minutes. By
automating, Datapipe enabled instant repeatability as new regions
were deployed.
Automated the configuration and deployment of a large-scale Hosted
Private Cloud infrastructure – completed in minutes versus days.
Implemented complete automation of software configuration and
installation.
Quickly and efficiently enforced compliance of environments through
instrumentation and “auto-fix” – sensing and responding to issues or
changes and reverting the environment to compliant standards.
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7. Proactive Monitoring
Advanced monitoring for both physical
and cloud environments:
• Client-defined thresholds are established
and data collection mechanisms are
deployed to monitor the client’s entire
infrastructure solutions
• Ensures issues are detected and resolved
before performance or availability are
negatively impacted
• Monitoring and analysis of network flow
data provides in-depth insight into
network traffic, performance, and
utilization
Infrastructure Monitoring
Application Monitoring
Network Monitoring
The Datapipe Monitoring Method
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8. Proactive Monitoring Use Cases
Deployed a custom monitoring solution for a large-scale, elastic multi-
region AWS environment. Implemented auto-discovery of every new
and decommissioned machine, followed by the automated deployment
of measuring devices and monitoring.
Deployed a global monitoring solution for a hosted private cloud that
spanned three continents and four data centers. Implemented a
custom dashboard which allowed the client to view all data and
reporting in a single pane of glass.
Deployed a monitoring solution for a hybrid IT environment. This
included monitoring the back-end infrastructure and database in a
traditional stack, and the application layer running on AWS. Custom
designed to support unique data pulls for the client.
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9. Lifecycle of Security, Automation and Monitoring
Plan
ü Client current state analysis, cloud
readiness, planning and solution
design
Build
ü Account and security management,
deploy environments and integrate
into IT operations.
Run
ü Validation and implementation of
managed operations with ongoing
optimization
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