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Daniel Berg・ danberg@us.ibm.com ・ @dancberg
IBM Distinguished Engineer, Cloud Platform
June 2016
Cloud-Native Applications
Microservices implemented with Containers
IBM Confidential
An engineering approach focused on
decomposing an application into single-function
modules with well defined interfaces which are
independently deployed and operated by a small
team who owns the entire lifecycle of the
service.
Microservices accelerate delivery by minimizing
communication and coordination between
people while reducing the scope and risk of
change.
Microservices
Jason McGee, IBM Fellow and VP, CTO Cloud Platform
High Cohesion
&
Low Coupling
Compare…
Monolithic application
Silo logic
Silo
data
Microservice
component
Microservice
component
Microservice
component
Microservices application
Evolution to a Microservices Architecture
Platform-enabled Microservices
Services
Tier
Cloud
Service
Cloud
Service
Cloud
Services
Edge Proxy
Application selection Version & Instance selection Admission Control
Service
Discovery
Active
Deploy
Build
Service
Repository
Container Service
Micro
ServiceMicro
Service
Micro
Service
Micro
Service
Micro
Service
Micro
Service
Micro
Service
Micro
Service
Micro
Service
Micro
Service
Service Proxy
Version & Instance selection
Admission Control
Auto
Scaler
• Failures WILL happen
• Their root causes can be complex
and affect different number of users
• Reduce the likelihood of correlated
failures
• Recover quickly
• Proactive detection of problems
before they happen
Causes for failures
Datacenter
Server Rack
Server
Virtual Server
Code
Request
Compose and Orchestrate your Polyglot
Microservices with Amalgam8
Platform & Runtime Independent
Multi-Tenancy Supported
Shortens Development Cycles
• Simplified Service Discovery & Load Balancing
• Red/Black Deployment & Canary Testing
Visit amalgam8.io or
github.com/amalgam8
References
Driving innovation
within an enterprise
acting like a startup
Patterns for building
resilient and robust
applications
Administrating
cloud native
applications
A view into the
cultural challenges
of adopting DevOps
and best practices
THANK YOU

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Cloud-Native Applications with Microservices and Containers

  • 1. Daniel Berg・ danberg@us.ibm.com ・ @dancberg IBM Distinguished Engineer, Cloud Platform June 2016 Cloud-Native Applications Microservices implemented with Containers
  • 2. IBM Confidential An engineering approach focused on decomposing an application into single-function modules with well defined interfaces which are independently deployed and operated by a small team who owns the entire lifecycle of the service. Microservices accelerate delivery by minimizing communication and coordination between people while reducing the scope and risk of change. Microservices Jason McGee, IBM Fellow and VP, CTO Cloud Platform
  • 5. Evolution to a Microservices Architecture Platform-enabled Microservices Services Tier Cloud Service Cloud Service Cloud Services Edge Proxy Application selection Version & Instance selection Admission Control Service Discovery Active Deploy Build Service Repository Container Service Micro ServiceMicro Service Micro Service Micro Service Micro Service Micro Service Micro Service Micro Service Micro Service Micro Service Service Proxy Version & Instance selection Admission Control Auto Scaler
  • 6. • Failures WILL happen • Their root causes can be complex and affect different number of users • Reduce the likelihood of correlated failures • Recover quickly • Proactive detection of problems before they happen Causes for failures Datacenter Server Rack Server Virtual Server Code Request
  • 7.
  • 8. Compose and Orchestrate your Polyglot Microservices with Amalgam8
  • 9. Platform & Runtime Independent Multi-Tenancy Supported Shortens Development Cycles • Simplified Service Discovery & Load Balancing • Red/Black Deployment & Canary Testing
  • 10.
  • 12. References Driving innovation within an enterprise acting like a startup Patterns for building resilient and robust applications Administrating cloud native applications A view into the cultural challenges of adopting DevOps and best practices

Editor's Notes

  1. Coupling and cohesion are terms which occur together very frequently. Coupling refers to the interdependencies between modules, while cohesion describes how related are the functions within a single module. Low cohesion implies that a given module performs tasks which are not very related to each other and hence can create problems as the module becomes large.  A component exhibits high cohesion when all its functions/methods are strongly related in terms of function https://en.wikipedia.org/wiki/Cohesion_(computer_science) Two components are loosely coupled, when changes in one never or rarely necessitate a change in the other https://en.wikipedia.org/wiki/Coupling_(computer_programming) “Low coupling often correlates with high cohesion, and vice versa. Low coupling is often a sign of a well-structured computer system and a good design, and when combined with high cohesion, supports the general goals of high readability and maintainability.”
  2. Auto Scaler Auto scaler provides primarily auto recovery of desired group size for each service Must be AZ/Pod aware Integrated with Service Endpoint service Edge Routing External traffic always enters the edge route tier Handles A/B routing, canary testing, and version routing Handles rate limiting, throttling, and filtering Does NOT route intra-service traffic Service Tier Microservices implemented inside Docker containers Connected to the auto scaler Service Endpoints Service Endpoint service provides location, health, and status of all service instances to router Provides control of version selection Updated by auto scaler and services Service Ops Console Provides management control for the application & components Deployment Version control, update, etc. Mid-Tier Routing Handles all internal routing Provides same controls as edge router Image Build & Repository Automation of the build pipeline Supports automated deploy and update Integrates with container service & repository Container Service Runtime hosting of a collection of containers on shared infrastructure Implements resource isolation controls
  3. Amalgam8 is an open-source platform that simplifies integration of polyglot microservices. Inspired by AirBnB’s Smartstack, Amalgam8 decouples service registration, discovery and client-side load balancing from your application logic. It provides a centralized command center to configure routing of requests across an entire set of microservices, transform in-flight requests, and more.
  4. Amalgam8 simplifies microservice integration tasks and enables you to focus on the DevOps functions such as canary testing, A/B testing, red/black deployments, systematic resilience testing, etc. You can use the Amalgam8 platform with popular container runtimes like Kubernetes, Marathon/Mesos, VMs, or your favorite PaaS environment such as IBM Bluemix, Google Cloud, Azure, etc