Microservices: Another Way

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What Microsoft Azure Service Fabric give to Java developers to build applications with Micro-services architecture more easily

Logiciels

MICRO-SERVICES:
ANOTHER WAY
Mykhailo Sorokovskyi

INTRODUCTION
13
Distributed & Highload
Cloud Solutions
WorkExperience
Languages Focus

AGENDA
Is Monolith a real problem?
Why Micro-Services?
How we gonna do Micro-Services?
Why Service Fabric?
What is Another Way?

MONOLITH
Azure
AWS
Desktop
Browsers
80% backend logic 20% backend logic
Monolith

MONOLITH - SCALABILITY
80% backend logic
Azure
Redis: Cache
Redis:
WebSockets
Backplane
SQL Store
Monolith
Instance 1
Monolith
Instance 2
Monolith
Instance 3
Monolith
Instance N
Stateless & Scalable
Redis
SQL – limited scale –
10% load

PROBLEM - TECHNICAL
1 Language / Platform limitation
Module cannot be scaled separately
DB Schema sharing

PROBLEM - BUSINESS
Acquiring several companies
Expecting growth ~ x5 in a year
Targeting for Hybrid solution

SCALING & HARDWARE
~ 20 Modules
3 – High Load
1 – requires Memory
GPU
Module 1
GPU
Module 2
SSD
Module 1
SSD
Module 2
Node with SSDNode with GPU

LANGUAGE & TOOLS
Use appropriate language & tools for component goals
Languages:
 Java
 .NET
 NodeJS
 Ruby
 C++
 Python
Storages & tools:
 SqlServer
 MySql
 Redis
 ELK
 Kafka
 Apache Solr
 Apache Spark

HYBRID (CLOUD + ON PREMISES)
Cloud
Service 1
Service 2
Data
Service 1
Data
Service 2
Service 3
Regular Tenants
Classified Tenants
Tenant DC

REQUIREMENTS - SYSOPS
Infrastructure
Platforms
Scalability
Hardware

REQUIREMENTS - DEVOPS
Script minimization
Upgrade in single command
High Availability & Self-Healing
Service Discovery
Hardware Constraints

http://img01.deviantart.net/3ceb/i/2012/206/e/2/blow_your_brains_out_skull__better_quality__by_brynios-d58klqj.jpg

SERVICE FABRIC vs CONTAINERS ORCHESTRATION
Service Fabric Containers
Orchestrating Services Containers
Ops Cost Low Medium
App Infrastructure One SDK Custom
Scaling Instance + Partitioning Instance
Service Isolation No, Container, Kernel Container

Service Fabric
Cluster
Node 1
Node 5
Node 3Node 4
Node 2Resource Manager
Cluster Manager
Naming Service
Image Store
Health Manager
CLUSTER

Service Fabric
Cluster
Node 1
Node 5
Node 3Node 4
Node 2
Manage
Admin UI PS / CLI
Application
Web Service
Worker Service
Deploy
Web Service
Web Service Web Service
Worker Service Worker Service
Worker Service
Worker Service Worker Service
MANAGEMENT

PROGRAMMING MODELS
Reliable Services
 Stateful
 Stateless
Actors
SDK No SDK
Containers
Guest Executable

RELIABLE SERVICES
Cluster State
Stateless Stateful
State

ACTORS
Add Actor
Subtract Actor
Node
XY
ABXY
AB
Calculator
API
User XY
User AB

CONTAINERS
Service Fabric
Cluster
Node
Node
NodeNode
Node
Windows
Linux

ORCHESTRATING / SCALING / SELF-HEALING
Usually Another Way
Resource Manager
Failover Manager
Health Manager

SERVICE DISCOVERY
Usually Another Way
Eureka
Naming Service

CONFIGURATION
Usually Another Way
Image Store

LOAD BALANCING
Ribbon
Usually Another Way
Naming Service
Reverse Proxy

STATE
Usually Another Way
Reliable Collections

HEALTH / MONITORING
Eureka
Usually Another Way
Health Manger

TESTABILITY
Usually Another Way
Fault Analysis Service

WHEN TO USE
You want to try Another Way 

LIMITATIONS
Hyper-V Virtualization – Q3 201
Full Linux support – Q4 2017
Stateful services on Linux – Q4 2017
Reverse Proxy on Linux – Q4 2017
Docker Compose support – Q4 2017
Heterogeneous Cluster – Q1 2018

linkedin.com/in/mykhailo-sorokovskyy-25765683 mikle.sorokovsky@gmail.com
msorokovsky@lohika.comSkype: mikle.sorokovsky
LINKS
https://github.com/msorokovsky/servicefabricdemo
https://docs.microsoft.com/en-us/azure/service-fabric/
https://github.com/Azure-Samples/service-fabric-java-getting-started
https://channel9.msdn.com/Shows/Cloud+Cover/Episode-210-Service-Fabric-Series-1-of-3-Introduction

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