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Micro services
Deepak Singhvi
11-01-17
X Axis Horizontal Scaling
(Scale by cloning)
Y Axis Functional Decomposition
(Scale by splitting Different things)
Z Axis Data Partitioning
(Scale by splitting similar things)
Scale! Near infinite scale
No split, and single
monolithic
architecture.
Scalability
- Resource usage should increase linearly (or better) with load.
- Design for 10x growth in data, traffic, users, etc.
Availability
- Resilience to failure
- Graceful degradation
- Recoverability from failure
Latency
- User experience latency
- Data latency
Manageability
- Simplicity
- Maintainability
- Diagnostics
Cost
- Development effort and complexity
- Operational cost
Inspiration from Randy Shoup
“Architectural Strategies
Strategy 1: Partition Everything
How do you eat an elephant? One bite at a time.
Strategy 2: Async Everything
Good things comes to one who waits…
Strategy 3: Automate Everything
Give a man a fish and he eats the fish for a day…
Teach a man to fish and he eats fist everyday
Strategy 4: Remember Everything fails
Be Prepared
Partitioning Business Service
Micro services small set of services which works collectively as a single (or multiple as well)
unit.
Micro services highly decoupled and focus on doing a small task at a time.
Any kind of communication with between services would require a knowledge about each
other’s location.
If we have multiple environments (dev, sit, uat, prod) then configuring, managing, deploying
the services challenging if it is not automated as it involves issues in deployment time,
monitoring. Adding additional nodes for the services in the distributed environment would need
better management and collaboration.
How do we do it…
There are number of tools are technology.
For this study I have taken Spring + Netflix components.
Spring Cloud provides tools for developers to quickly build some of the common patterns
in distributed systems.
Netflix OSS is a set of frameworks and libraries that Netflix wrote to solve some interesting
distributed-systems. Netflix open source has contribute many project to spring cloud
tools.
Components
Spring Cloud + Netflix Eureka +
Netflix Zuul + Ribbon + Feing +
Docker
Lets jump to demo and code
Who is who
Eureka
Eureka, Netflix OSS project,
is a service registry. Each
micro service registers itself
with Eureka, and then
consumers of that service
know how to find it using the
service directory.
Zuul
Zuul is the front door for all
requests, as an edge service
application. Zuul is built to
enable dynamic routing,
monitoring, resiliency and
security.
Ribbon
Ribbon is a Inter Process
Communication (remote
procedure calls) library with
built in software load
balancers.
Feing
Feign is a declarative web
service client. It makes
writing web service clients
easier
Docker
Docker is an open-source
project that automates the
deployment of applications
inside software containers..
You can download code from github
https://github.com/deepaksinghvi/microservice
Thank You!

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Microservices forscale

  • 2. X Axis Horizontal Scaling (Scale by cloning) Y Axis Functional Decomposition (Scale by splitting Different things) Z Axis Data Partitioning (Scale by splitting similar things) Scale! Near infinite scale No split, and single monolithic architecture.
  • 3. Scalability - Resource usage should increase linearly (or better) with load. - Design for 10x growth in data, traffic, users, etc. Availability - Resilience to failure - Graceful degradation - Recoverability from failure Latency - User experience latency - Data latency Manageability - Simplicity - Maintainability - Diagnostics Cost - Development effort and complexity - Operational cost Inspiration from Randy Shoup
  • 4. “Architectural Strategies Strategy 1: Partition Everything How do you eat an elephant? One bite at a time. Strategy 2: Async Everything Good things comes to one who waits… Strategy 3: Automate Everything Give a man a fish and he eats the fish for a day… Teach a man to fish and he eats fist everyday Strategy 4: Remember Everything fails Be Prepared
  • 5. Partitioning Business Service Micro services small set of services which works collectively as a single (or multiple as well) unit. Micro services highly decoupled and focus on doing a small task at a time. Any kind of communication with between services would require a knowledge about each other’s location. If we have multiple environments (dev, sit, uat, prod) then configuring, managing, deploying the services challenging if it is not automated as it involves issues in deployment time, monitoring. Adding additional nodes for the services in the distributed environment would need better management and collaboration.
  • 6. How do we do it… There are number of tools are technology. For this study I have taken Spring + Netflix components. Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems. Netflix OSS is a set of frameworks and libraries that Netflix wrote to solve some interesting distributed-systems. Netflix open source has contribute many project to spring cloud tools.
  • 7. Components Spring Cloud + Netflix Eureka + Netflix Zuul + Ribbon + Feing + Docker
  • 8. Lets jump to demo and code
  • 9. Who is who Eureka Eureka, Netflix OSS project, is a service registry. Each micro service registers itself with Eureka, and then consumers of that service know how to find it using the service directory. Zuul Zuul is the front door for all requests, as an edge service application. Zuul is built to enable dynamic routing, monitoring, resiliency and security. Ribbon Ribbon is a Inter Process Communication (remote procedure calls) library with built in software load balancers. Feing Feign is a declarative web service client. It makes writing web service clients easier Docker Docker is an open-source project that automates the deployment of applications inside software containers..
  • 10. You can download code from github https://github.com/deepaksinghvi/microservice