[DOST] OpenStack & the Enterprise Hybrid Cloud - Tech, People, Processes

Copyright © 2017 Mirantis, Inc. All rights reserved
“OpenStack & the
Enterprise Hybrid Cloud”
Tech - People - Processes
DOST 2017, Munich Gerd Prüßmann - Mirantis

2017 | www.mirantis.com
Gerd Prüßmann
Director Cloud Solutions
Mirantis Germany GmbH
● Cloud since 2011 w/ OpenStack “Cactus” Release
● Helped building many public & private cloud
platforms eg. Deutsche Telekom / T-Systems
○ Business Market Place / Open Telekom Cloud
● President OpenStack DACH e.V.
Twitter: @2digitsleft
IRC: gpruessmann
Email: gpruessmann@mirantis.com
Speaker

Pure Play Open Cloud
● Freedom of choice
● No vendor lock-in
● Cloud-centric focus on success
● Flexibility in technology above and
below the cloud infrastructure
● Rapid community innovation
● Best-in-class infra, middleware
and platform choices, since open
cloud is all we do!

Mirantis Snapshot
#1
Major Contributor in
Numerous
Communities
1
Singular Focus:
Open Clouds
600+
Employees

Operate Your Cloud
● Fully managed open
cloud with up to
99.99% SLA guarantee
● Standards based open
source tooling
Operate
Mirantis Cloud Platform
● Remote Operations
● Proactive monitoring
● 24x7x365 Support
● Designated Customer
Success Manager
● KPI reporting and
governance
Mirantis
StackLightOpen Cloud
Software
DriveTrain

Build: Mirantis Cloud Platform
Mirantis Cloud Platform
StackLightOpen Cloud
Software
DriveTrain

Cloud Deployment Models
Self run
3rd Party
Managed
On Premise
Hybrid
Cloud
Private
Cloud
Public
Cloud
Managed
Private Cloud
Dedicated
Off Premise
Virtual On Demand Public
Dedicated ± Single Tenant Platform Shared & Multi Tenant Platform

Hybrid Cloud - Cloud Premier League
Hybrid
Cloud
Public
Cloud
Private
Cloud
● Fully Customizable
● Regulation & Total Control
○ Data
○ Secure by Design
● Quality of Service
● 24/7 Cost Efficiency
● Maximum Elasticity &
Scalability
● Any Device - Anywhere
● Low Entry Cost
● Flexible Pricing/Pay as You Go
● Leverage Expertise
● Managed Infra & Ops
● Fast Innovation
● Tailored Mixing
● Match Workloads to
Best-Fit Infrastructure,
Services & Pricing
● Best In Class Services
● Increase Capacity - not
CapEx
● Generalized Offering

Customer Example: Global Hybrid Footprint
Hybrid
Cloud
Public
Cloud
Private
Cloud
● Multiple Data Centers
● 7 Locations / Legal Units
● 3 Continents
● 1 Hybrid Cloud Strategy
● Multiple Jurisdictions
● Data Locality
● Proprietary Offerings
● Global CSPs eg. AWS,
Azure, OTC etc.
● Local Heros
○ HEC, Alibaba etc.

30-45%
Wasted Cloud Spent
Hybrid Cloud Adoption 2017
Source Rightscale 2017
Cloud Users running Apps in 4 (1.8/2.3)
clouds and experimenting with 4 (1.8/2.1)
more
9% Single Public
5% Single Private
1% No Plans
7% Multiple Private
20% Multiple Public
58% Hybrid Cloud85% Multi Cloud
Public
58% of enterprises(1000+ employees)
consume hybrid cloud

Raison d'être: Every Industry is under attack by startups
John Chambers: One-third of businesses today will not survive the next 10 years
Transportation
Watches
Finance Groceries
Lodging
Watches
Service
Providers

Driving Digital Transformation
Desired
Outcomes
More software projects More iterations/ project More stories/ iteration
S/W
Dev Impact
DevOps Cloud-native Apps Infrastructure-as-code
Technology
Impact
Public & Private Cloud Infrastructure

Hybrid Cloud Helps to accelerate Software Development
24
6
Improved Time-to-market Reduced Cycle Time
5-6 ½-3 min
Baremetal VM
Improved Dev Productivity
Baseline
With Cloud (typical)
With Cloud (max)
+20-30%
+60%
Cloud + DevOps Accelerates the SW Dev Lifecycle > 4X
Source: Actual customers & McKinsey “Reorganizing IT for Faster Software Delivery”
Pre transformation Post transformation
S/W iterations/ yr Months to provision infra User stories done per release

Workload Innovation demands Hybrid Cloud
● Digitization
● Big Data
● Internet of Things
● Smart City
● Industry 4.0 ...
Images: ©Mimi Potter / Fotolia

IoT - Connected Vehicle Use Cases
○ Car Dashboard and Infotainment
○ Value-Added Services
■ eCall / bCall
■ Stolen Vehicle
■ Usage based Insurance
■ Navigation
■ Roadside Assistance
■ Diagnostics (repair etc.)
○ Connected Enterprise Solutions
■ Fleet Management
■ Systematic Field Data
○ eMobility
■ eMobility
■ EV Charging Services
■ eRoaming
■ EV Remote Management
■ EVs & Cross-Energy
Management
○ Car Sharing
○ Intermodal Services
○ Vehicle Functions
■ Automated Driving

Hybrid Cloud
AWS GCP MSFT
Softlayer Huawei EC
Alibaba Tencent ....
+
+
Hybrid Cloud: The “Digitization” Challenge
“Digitisation”
Layer
Apps - Value - End Customer
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
“internet of things” by Felix Westphal, “Autonomous Car” by Shmidt Sergey from the Noun Project
4.0
Big Data Analytics Cognitive Technology / AI
Sensors & Smart Devices M2M IIoT
Augmented Reality Fog Serverless …...

Hybrid Cloud: The “Digitisation” Challenge
“internet of things” by Felix Westphal, “Autonomous Car” by Shmidt Sergey from the Noun Project
4.0
Mirantis MCP
Backends /
Mode 1 Private Cloud Public Cloud Fog / Edge /
Device

Hybrid Cloud Management
Workload
Onboarding
Unified Portal
Montoring / KPI
Legal / OSS
Service Registry
/ Discovery
Support
User
Management
Federation
Governance
Community
Workload
Transformation
Service
Selection &
Catalog
Pricing Model
Identity &
Access Mgmt
Resource
Metering
Billing
Cost vs. Profit
Center
Security
API
Management
CSP Selection
Connectivity
Automation
SLAs/SLOs
Operational
Model
Integration

Risk: Cloud Platform Silo Nightmare
Traditional
Platform
● Multiple X Investments
● Isolated solutions
● Increased Admin & IT
management tasks
● Performance &
Connectivity Issues
● App Non-Portability
Employees
Service Catalog
Change Mgmt
...
Private Cloud
Employees
Service Catalog
Change Mgmt
...
Public Cloud
Employees
Service Catalog
Change Mgmt
...
Management
of Complexity
Loss of
Control
Siloed
Applications

Cloud Provider Selection

● Technologies & Services
○ Tech & Management Match
○ Tech: Regions, Availability Zones etc.
○ Roadmaps
○ Hybrid:
■ Feature Parity & Comparision of
Clouds
○ Workload Related Individual Expertise
of specific CSP
■ eg Analytics, DL, ML
● Service Dependencies &
Partnerships
○ Partnerships & Sub Contractors
Cloud Provider Selection Considerations 1/2
● Data Security, Data Governance
and Business Policies
○ Own Data Classification &
Governance match
○ Information Security
○ Certification & Standards
● Contracts, Pricing & SLAs
○ Business Terms & Conditions
○ Individual Contracts / Framework
Contracts
○ Service Delivery
○ Legal Protections / SLAs
■ Penalties
○ Commercial Impact / Pricing

● Vendor Lock
○ Proprietary Services, APIs & Service
Abstraction
● Reliability & Performance
○ Cloud Reliability Analysis
○ Disaster Recovery
● Business Health & Company
Performance
● Migration Support Services
Cloud Provuder Selection Considerations 2/2
● Exit Planning / Sudden Death
○ Pricing Burst / SLA meltdown
○ Hacking
○ Bankruptcy & Service Termination
○ Changing Regulations & fit for service
■ GDPR
○ Politics
“Donald Trump” by Leif Michelsen, “brexit” by David Marsh from the Noun Project
Brexit
“I have T-Mobile, it’s pathetic!”
“The Cyber is a huge problem!”

Pricing & SLAs

Example: Pricing / SLAs
Cloud Instance Pricing Payment Terms Medium of
Exchange
Commitment Metering Unit Price
Variability
Cash Pay as you Go On-Demand In-Arrears Cash None Metered Fixed
Spot Pricing In-Arrears Cash None Metered Variable
Reserved Instance Hybrid Cash None Metered Fixed
Committed VM Prepaid VM Up-Front Cash Recurrent Unmetered Fixed
Recurring VM Up-Front Cash Recurrent Unmetered Fixed
Resource Pooling Recurring Resource
Pooling
Up-Front Resources Recurrent Metered Fixed
Credit
Pay-as-you-go
Subscription Credit Up-Front Credits Recurrent Metered Fixed
Prepaid Credit Up-Front Credits None Metered Fixed
Complex Cloud Pricing Methods & Options

Example: Pricing / SLAs
Resource Type
(us-east, Linux)
AWS
Instance
Azure
Instanc
e
GCP Instance AWS OD
Hourly
Azure OD
Hourly
GCP OD
Hourly
AWS /GB
RAM
Azure /GB
RAM
GCP /GB
RAM
Standard 2 vCPU w SSD m3.large D2 v2 n1-standard-
2
97,36 € 83,45 € 155,18 € 12,44 € 11,71 € 20,50 €
Highmem 2 vCPU w SSD r3.large D11 v2 n1-highmem-
2
121,51 € 109,07 € 174,22 € 8,05 € 8,05 € 13,18 €
Highcpu 2 vCPU w SSD c3.lrge F2 n1highcpu-2 76,86 € 72,47 € 137,62 € 20,50 € 18,30 € 76,13 €
Standard 2 vCPU no SSD m4.large D2 v2 n1-standard-
2
87,84 € 83,45 € 73,20 € 11,89 € 11,71 € 9,52 €
Highmem 2 vCPU no SSD r3.large D11 v2 n1-highmem-
2
121,51 € 109,07 € 92,23 € 8,05 € 8,05 € 7,32 €
Highcpu 2 vCPU no SSD c4.large F2 n1-highcpu-2 76,86 € 72,47 € 55,63 € 20,50 € 18,30 € 30,74 €
Resource Pricing: No “cheapest” CSP

Examples: Pricing / SLAs
Resources are cheap:
Compute, Network, Storage, CPU, RAM …
TCO vs. Agility & Time to Market
TCO model considering all costs of moving to the
cloud: people, tools, time, cloud migrations
(automation, integration, management), training,
development, security, operations, testing ...
Agility
Time to Market
Economies of Scale
Standardization
Operational Efficiencies
Typical Cloud Sources of “Cost Savings” “Costs” vs. “Savings”
Cloud ischeap!?

● Predictable vs. un-predictable usage
● Baseline Load vs. Scale Out Peaks
● t2.micro vs. t2.2xlarge
● Clean-Up vs. Orphans
● Generic Services vs. Black Hole
○ (Features = Convenience)
● Data Gravity
https://www.openstack.org/videos/boston-2017/cloud-wars-public-vs-private-cloud-economics
Commercial “Cleanroom” Planning vs. Reality on Cloud

AWS will use commercially reasonable efforts to make Amazon
EC2 and Amazon EBS each available with a Monthly Uptime
Percentage (defined below) of at least 99.95%, in each case
during any monthly billing cycle (the “Service Commitment”). In
the event Amazon EC2 or Amazon EBS does not meet the Service
Commitment, you will be eligible to receive a Service Credit as
described below.
Common Cloud Services SLA Definition
Source: Amazon Webservices (https://aws.amazon.com/ec2/sla/)

Source: Amazon Webservices & Uptime.is
Monthly Uptime Percentage Service Credit Percentage
AWS EC2 >= 99.0% (~6h 34m) < 99.9% (~ 43m) 10%
<99.0% (~30d 10h 29m) - (~7H 18m) 30%
AWS S3 >= 98.0% (~14h 36m) < 99.0% (~7H 18m) 10%
<98.0% (~30d 10h 29m) - (~14h 36m) 25%
Service Credits
> 1AZ
Region One Region Two
Source: RapidScale
http://bit.ly/2r7pQZ8

Technology & Services Match

Public Cloud Provider Capabilities & Rating
Technology On-Premise Solutions AWS Public Cloud
Analytics Hadoop, Cassandra Amazon Elastic MapReduce, Hadoop, Cassandra
DWH Specialized Hardware & Software Solutions Amazon RedShift
Messaging & Workflow Messaging & Workflow Services Amazon Simple Queue Service, Amazon Simple Notification Service,
Amazon Simple Workflow Service
Caching Memcached, SAP Hana Amazon ElastiCache, Memcached, SAP Hana
Archiving Tape Library, off tape storage Amazon Glacier
Email Email Software Amazon Simple Email Service
Identity Management LDAP AWS IAM, LDAP
Deployment Chef, Puppet AMIs, AWS CloudFormation, AWS OpsWorks, AWS Elastic Beanstalk,
Chef,
Monitoring & Mgmt. CA, BMC, Rightscale Amazon CloudWatch, CA, BMC, Rightscale
Source: Amazon Webservices

Technology On-Premise Solutions AWS Public Cloud
Network VPN, MPLS Amazon VPC, VPN, AWS Direct Connect
Security Firewalls, NACLs, routing tables, disk
encryption, SSL, IDS, IPS
AWS security groups, AWS CloudHSM, encryption, SSL, IDS, IPS NACLs, routing
tables, disk encryption, SSL, IDS, IPS
Storage DAS, SAN, NAS, SSD SSD Amazon EBS, Amazon S3, Amazon EC2 Instance storage (SSD), GlusterFS
Computer Hardware, Virtualization Amazon EC2
Content Delivery CDN solutions Amazon CloudFront
Databases MSSQL, MySql, Oracle, MongoDB,
Couchbase etc.
Amazon RDS, Amazon DynamoDB, DB2, MS SQL PostgresSQL, MongoDB,
Couchbase Server, MySQL,PostgesSQL, Oracle, MongoDB, Couchbase
Load Balancing Load Balancers, HA Proxy Elastic Load Balancing, software load balancers, HA Proxy
Scaling Clustering, Apache Zookeeper Software clustering, Apache ZooKeeper ZooKeeper
DNS Services DNS Providers Amazon Route 53
Source: Amazon Webservices

http://gtnr.it/2q86kXX

Workload Onboarding

Init Session
meeting to collect
information for
high level classification &
acceptance further
Onboarding Process
Assessment
Projects Requirements
Cloud Readiness Analysis &
Classification of Application
Transformation Path/Efforts
Organizational Transform.
Operations & Support
Model
Input for Transformation &
Development
Project Specific
Support
Extended Assessment,
Development &
Transformation
MVPs
Orchestration & Automation
Move & Run on Cloud
Workload Onboarding
Workload Onboarding Teams support projects to migrate to cloud
Detect
Legacy!

People / Organization

IT Dept: “What should be delivered by us regarding Digitization and
industry transformation? How should our Hybrid Cloud look like?”
Challenge: Re-Invent IT

Disruptors = Pacemakers
Change/Commit Rollout Global Round Trip Time 12.5 Minutes
Public Cloud Server to Admin Ratio 1:2000+
Zombie Apocalypse Frequency multiple / year
Tesla product upgrade cycle 11.5 days
Regular “Chaos Monkey” Outage Time 0 sec

Cloud Adoption Impacts all aspects of the enterprise
Cloud is a disruptor to the whole enterprise organization

Cloud - Disruption of the traditional IT Organization
Data Center (eg Virtualized) Private Cloud
Virtualized infrastructure Virtualized and multi-tenancy infrastructure
Process for procurement of new hardware &
capacity
Self-service portal
Days or hours of provisioning <15 minutes provisioning time
Fixed costs Pay per use or charge back
Capex model Opex Model
Business units take risks (underutilization) IT takes risk
IT is cost center IT is profit center
Operational excellence IT acts as cloud broker/sourcing integrator

Team Silo Nightmare
Operations
● Different Business Goals
● Opposite MBOs
● Company Goals vs. Line
Goals
● Non-aligned Staffing
● Disparate Budgets
Server Storage
Diverging
Goals
Cloud
not Prio
Internal
Politics

Example: Organizational Impact
Waterfall
Releases based
Golden Machines
Manual Approval
Months
Agile
Continuous
Commodity Hardware
Automatic Workflow
Days
vs
Solution: “Staff the Cloud team with people from the traditional teams &
cloud experts - thus infecting the skilled samurai with the ninja mindset”
Mode 1 Mode 2

● “Project Management” vs. “Product Management”
○ “Products” vs. “Projects”
○ “Product Owners” vs. “Project Managers”
○ “Life Cycle Management” vs. “Run as built once”
○ “Fail Fast & MVPs with Roadmaps” vs. “Traditional Waterfall / Fixed Releases”
● Hybrid Cloud Product Management Process
○ Develop Hybrid Cloud as a Product
○ Training on Product Management, Agile Processes etc.
○ Management Visibility & Support
● DevOps vs. Siloed Operations & Support
Transformation of Team, Org, Processes

The “Hybrid Cloud IT Departments”
Internal Customers
Unified Interaction & Brokerage Platform
Administration Reporting Service Catalog
Security
Governance
Orchestration Automation, Integration
SaaS PaaS IaaS
Interaction & Brokerage Platform
▪ Registration (consumer &
producer)
▪ Searching, Filtering, Matching,
Classification, …
▪ Community Management -
Orchestration
▪ Evaluation - Curative
Management
▪ Applying and Subscription of
Services, …
▪ Rating, Recommendation,
Feedback, …
▪ Track & Tracing, Reporting, …
▪ Policies, Credentials,
Code-of-Dev., …
▪ Code-of-Conduct, …
▪ Back / X-ChargingPublic Cloud Private Cloud

Technologies

Workload Portability: Kubernetes & Container
Host Host Host Host Host
Kubernetes
K8s master K8s minions
OS Control
Plane
OS
Computes
K8s workloads
MonitoringandLogging
VMs Containers
CI/CDToolChain
Kubernetes Kubernetes
K8s
workloads
Private CloudPublic Cloud
K8s
workloads
VMs Containers
K8s workloads
Monitoring
andLogging
CI/CDTool
Chain
Monitoringand
Logging
CI/CDToolChain
Workload Portability

MCP Drivetrain
MCP DrivetrainStackLightOpen Cloud
Software
DriveTrain

MCP Drivetrain
Unified Portal Montoring / KPI
Service Registry
/ Discovery
Federation
Identity &
Access Mgmt
Billing
Connectivity
Automation
OEM
Integration
Keystone
Federation
Heat
Stacklight

● migration plan & paths for applications
○ context, objectives and challenges of the migration
○ Use case scenarios & application usage in the cloud
○ coarse- and fine grained migration paths (step-by-step,
component-by- component)
○ Cloud Migration Patterns
○ Sequence to transform the overall system architecture and the
application
○ Step by step decomposition of multi-tier application services
○ Combination into groups of service components on the cloud
○ integration of cloud services
○ migration objectives
○ Before / After Architecture Description
Workload Migration & Transformation

Workload Migration & Transformation
Patterns Methodologies
Cloud-Hosted Lift & shift, re-hosting.
Cloud-Optimized Cloudification, relocation, replacement.
One or more components of the application are replaced with a cloud
service rather than redeveloping the architecture of the application.
● Enrich application with OpenStack cloud services eg Trove
● Replace specific storage services with elastic eg Swift object storage.
In some cases, application may stay on the former platform but uses
services from the OpenStack cloud platform.
Cloud-Native
Refactoring, modernization.
Use the cloud to provide improved performance, scalability and elasticity to
an application. A usage evaluation
of components of a static or monolithic application is recommended.
Complete rewrite of the application into cloud-native architecture.

OpenStack Guidebooks for Usage in the Enterprise
Free Download
http://bit.ly/1CFAua9

Gerd Prüßmann
Director Cloud Solutions
Mirantis Germany GmbH
Speaker
● Cloud since 2011 w/ OpenStack “Cactus” Release
● Helped building many public & private cloud
platforms eg. Deutsche Telekom / T-Systems
○ Business Market Place / Open Telekom Cloud
● President OpenStack DACH e.V.
Twitter: @2digitsleft
IRC: gpruessmann
Email: gpruessmann@mirantis.com

[DOST] OpenStack & the Enterprise Hybrid Cloud - Tech, People, Processes

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to [DOST] OpenStack & the Enterprise Hybrid Cloud - Tech, People, Processes

Similar to [DOST] OpenStack & the Enterprise Hybrid Cloud - Tech, People, Processes (20)

Recently uploaded

Recently uploaded (20)

[DOST] OpenStack & the Enterprise Hybrid Cloud - Tech, People, Processes