We are now witnessing a new wave of IT revolution and its effect is very similar to the Cloud and Virtualization revolutions that started in the last decade. This new wave, called Containerization, is related to technologies such as Docker and Kubernetes, which now fuel large scale solutions including Big Data and IoT. Learn about: - Typical DevOps challenges and modern solutions - Using Docker as Amazon EC2 Container Service Evolution of Enterprise Architecture (Containers, IoT, Machine Learning and technologies of tomorrow) - Business value of using advances DevOps technologies with real-life case study

1. AWS AND SOFTSERVE
CONTAINERIZATION:
THE DEVOPS REVOLUTION
Tuesday, April 12, 2016
8 AM PST/4 PM BST/5 PM CEST
webinar webinar@softserveinc.com

2. SPEAKERS
Valentyn Kropov
Solutions Architect,
SoftServe
Craig Williams
Solutions Architect,
Amazon Web Services
webinar

3. WHY CONTAINERS ARE SUCH A BIG DEAL
webinar webinar@softserveinc.com

4. • Own Process Space
• Can run commands as root
• Can install ad-hoc packages
• Can run Services
• You can get a shell on it (e.g. through SSH)
CONTAINER IS LIKE A LIGHTWEIGHT VM:
webinar

5. • It uses hosts kernel
• Can’t boot different OS
• Can’t have it’s own kernel modules
• From host OS perspective Containers are the bunch of processes
DIFFERENCES TO VM:
webinar

6. webinar
CONTAINERS vs VMs

7. • Resource Metering and Limiting
• CPU and CPUSet
• Memory
• Network
• Block I/O
• /dev/*
CGROUPS (CONTROL GROUPS):
webinar

8. • Provides containers with their own view of the system
• Limits what you can see (and use)
• Multiple namespaces: pid, net, mnt, uts, ipc, user
NAMESPACE:
webinar

9. • Create new container instantly instead of
copying whole system
• Storage keeps tracking of what has change
(AUFS, ZFS, etc)
• Reduces footprint and overhead
• Decreases boot time
COPY-ON-WRITE STORAGE:
webinar

10. • LXC
• systemd-nspawn
• Docker Engine
• rkt/runC
• OpenVZ
• Jails (FreeBSD), Zones (Solaris)
CONTAINER RUNTIMES:
webinar

11. • Uses the same kernel features => Performance will be the same
• What matters is:
Design
Features
Ecosystem (e.g. 100.000+ apps in Docker Hub)
Support
WHAT’S THE DIFFERENCE BETWEEN THEM?
webinar

12. THE STORY OF SUCCESS
webinar webinar@softserveinc.com

13. PROBLEM & OPPORTUNITY
• Rapid innovation in computing and application development services
• No single service is optimal for all solutions
• Customers want to run multiple services in a single cluster and run
multiple clusters in Intercloud environment
...to maximize utilization
...to share data between services
webinar

14. DATACENTER AND SOLUTION TODAY
VM7 VM8
VM4 VM5 VM6
VM1 VM2 VM3
VM1 VM2 VM2
Visualization Service
Data Ingestion
Service
Analytics Service
• Configuration and
management of 3 separate
clusters
• Resources stay idle if
service is not active
• Need to move data
between clusters for each
service
webinar

15. WHAT DO WE WANT TO DO?
Data
Ingestion
Service
Analytics
Service
Visualization
Service
….to maximize utilization
...to share data between services
Shared cluster
Multiple clusters
webinar

16. SHARED CLUSTER
AWS
VM1 VM2 VM3 VM4 VM5
webinar

17. WHAT IS IN IT FOR CUSTOMERS?
Maximize utilization
Deliver more services with smaller footprint
Shared clusters for all services
Easier deployment and management with unified service platform
Shared data between services
Faster and more competitive services and solutions
webinar

18. HOW DOES THIS WORK?
Mesos Master
Mesos Slave
Spark Task Executor Mesos Executor
Task #1 Task #2 ./python XYZ
Mesos Slave
Docker Executor Docker Executor
java -jar XYZ.jar ./xyz
Mesos Master Mesos Master
Spark Service Scheduler Marathon Service Scheduler
Zookeeper
quorum
webinar

19. HOW DOES THIS WORK?
Mesos provides fine grained resource isolation
webinar
Mesos Slave Process
Spark Task Executor Mesos Executor
Task #1 Task #2 ./python XYZ
COMPUTE NODE
Executor
Container
(cgroups)

20. HOW DOES THIS WORK?
Mesos provides scalability
Mesos Slave Process
./python XYZ
COMPUTE NODE
Python executor finished,
more available resources
more Spark
Container
(cgroups)
webinar
Spark Task Executor
Task #1 Task #2 Task #3 Task #4

21. Mesos has no single point of failure Services keep running if VM fails!
webinar
HOW DOES THIS WORK?
Mesos MasterMesos Master
Mesos Master
VM1 VM2 VM3 VM4 VM5
!

22. webinar
HOW DOES THIS WORK?
Mesos MasterMesos Master
Mesos Master
VM1 VM2 VM3 VM4 VM5
!
Master node can failover Services keep running if Mesos Master fails!

23. HOW DOES THIS WORK?
Mesos Slave Process
./python XYZ
COMPUTE NODE
Python executor finished,
more available resources
more Spark
Container
(cgroups)
webinar
Spark Task Executor
Task #1 Task #2 Task #3 Task #4
!
Slave process can failover Tasks keep running if Mesos Slave Process fails!

24. Can deploy in many environments
Get orchestrated by Openstack, Ansible
(scripts), Cloudbreak
True Hybrid Cloud deployment: AWS, CIS, UCS,
vSphere, other
AWS
VM5VM1 VM2 VM3 VM4
Terraform
REST API
(policy, auto-scaling)
REST API
(direct provisioning)
Scripted provisioning
webinar
HOW DOES THIS WORK?

25. CONTAINERS:
Service Product
Cloud/Virtualization AWS/CIS/vSphere/Metacloud/UCS…
Provisioning Terraform
Automation Ansible
Clustering & Resource
Management
Mesos, Marathon, Docker
Load Balancing Avi Networks
ETL & Data Shaping StreamSets
Log Data Gathering Logstash
Metrics Gathering CollectD, Avi Networks
Messaging Kafka, Solace
Data Storing (Batch) HDFS
Data Storing (OLTP/Real-time) Cassandra
Data Storing (Indexing) Elastic search
Data Processing Apache Spark
Visualization Zoomdata
*Subset example
webinar

26. ISSUES
• Service Discovering
• Networking for Containers
• Persistent Storage
• Docker Performance
webinar

27. MORE DETAILS
https://mantl.io
webinar