[EWTT2022] Strategi Implementasi Database dalam Microservice Architecture.pdf

Dec 19, 20230 likes8 views

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EWTT2022: Strategi Implementasi
Database dalam Microservice

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GOAL:
1. Breakdown the complexity of monolith
business process
2. Easier to develop, easier to deploy
3. Smaller responsibilities for smaller and
focused team.
4. Reduce Database Hit. especially for update.
Microservice Architecture
Recommendation:
1. More cache towards faster inquiry.
2. Avoid real-time data cache, use database
internal cache.

Rest API, RPC, or Binary?
Despite of its advantage, Microservice has its
tradeoff: more point to communicate, more
latency and more things to maintain.
However, Microservices advantage are still
greater and better.
Inter Module communication can use some
options:
1. Message Queues: Kafka, RabbitMQ, etc
2. Direct communication, uses: Rest, RPC,
JSON invocation, or just plain binary.
3. Thread Pool trigger.
4. On demand thread or routine forks
5. Database access, worst case scenario.
Recommendation:
1. REST is great for interoperability between
system and entity. REST is the international
language for outside world.
2. RPC was invented long time ago, the ideas
still fresh. It is always a great idea to be able
to utilize other system resources remotely
and in ﬂexible manner.
3. Binary representation or serialization
especially for sensitive data is high
considered.

Queue, Pool or Trigger?
Queue is very good in:
1. Decouple of chained of process
2. Scale out the load per module.
3. Ofﬂoading CPU load into ﬂatter hit rate,
distribute CPU usage across longer time.
Queue is NOT good for:
1. Committing transaction
2. Synchronous things:
a. Process/threads
b. Communication, Query, etc
Pool
There are some pools:
Memory Pool, Connection Pool, Thread Pool, etc..
Pools provides bunch of ready to use resource, can
be combined using queues, OR only use
Conditional Variable which is faster.
Pool management is tricky, it is better
implemented without any locks.

Strategy for Comprehensive Redevelopment into
Microservice Architecture
1. Application breakdown
2. Business Process/Logic refactoring
3. Data restructuring
4. Transactional level data normalization
5. Analytical level data denormalization

1. Each existing application is breaking down into simple
modules, such as per feature, or by one independent
business process (algorithm).
2. Build the interdependence of each of these modules into
a uniﬁed business process that going through from
accept the input of user (SPOE/WUI) up to the ORM
(Object Relational Module).
3. Develop middlewares to couple the communication
between modules. (Kafka, Redis, etc)
4. Develop an API Gateway for User Interface, as the single
point of entry to ensure better access security.
5. Rebuilding RDBMS data structure to support
Microservices. It is required to be assessed more
comprehensive and involves all applications
Application Breakdown Strategy
6. Develop a data synchronization tools for Old Data
Structure and New one.
7. Create a staging database to support local data
manipulation per modules before reaching stable
transaction state.
8. Develop Data Warehouse System
9. Develop Data Lake for storing huge data from multiple
data sources

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[EWTT2022] Strategi Implementasi Database dalam Microservice Architecture.pdf

1. EWTT2022: Strategi Implementasi Database dalam Microservice

2. This document is owned by Equnix Business Solutions Pte LTD. This document contains conﬁdential information, which is protected by law. No part of this publication could be photocopied, reproduced or translated into another language without permitted or the express written consent of Equnix Business Solutions PTE LTD. Data and information regarding the proposal and its offer is for limited use and are not disclosed. The information contained in this document is subject to change at any time without prior notice. All rights reserved, © Copyright 2022 - Equnix Business Solutions Copyright Notice

3. Microservice Architecture

4. GOAL: 1. Breakdown the complexity of monolith business process 2. Easier to develop, easier to deploy 3. Smaller responsibilities for smaller and focused team. 4. Reduce Database Hit. especially for update. Microservice Architecture Recommendation: 1. More cache towards faster inquiry. 2. Avoid real-time data cache, use database internal cache.

5. Rest API, RPC, or Binary? Despite of its advantage, Microservice has its tradeoff: more point to communicate, more latency and more things to maintain. However, Microservices advantage are still greater and better. Inter Module communication can use some options: 1. Message Queues: Kafka, RabbitMQ, etc 2. Direct communication, uses: Rest, RPC, JSON invocation, or just plain binary. 3. Thread Pool trigger. 4. On demand thread or routine forks 5. Database access, worst case scenario. Recommendation: 1. REST is great for interoperability between system and entity. REST is the international language for outside world. 2. RPC was invented long time ago, the ideas still fresh. It is always a great idea to be able to utilize other system resources remotely and in ﬂexible manner. 3. Binary representation or serialization especially for sensitive data is high considered.

6. Queue, Pool or Trigger? Queue is very good in: 1. Decouple of chained of process 2. Scale out the load per module. 3. Ofﬂoading CPU load into ﬂatter hit rate, distribute CPU usage across longer time. Queue is NOT good for: 1. Committing transaction 2. Synchronous things: a. Process/threads b. Communication, Query, etc Pool There are some pools: Memory Pool, Connection Pool, Thread Pool, etc.. Pools provides bunch of ready to use resource, can be combined using queues, OR only use Conditional Variable which is faster. Pool management is tricky, it is better implemented without any locks.

7. Microservice Architecture Env.

8. Example of Microservice Architecture

9. Enterprise Service Bus

10. Strategy for Comprehensive Redevelopment into Microservice Architecture 1. Application breakdown 2. Business Process/Logic refactoring 3. Data restructuring 4. Transactional level data normalization 5. Analytical level data denormalization

11. 1. Each existing application is breaking down into simple modules, such as per feature, or by one independent business process (algorithm). 2. Build the interdependence of each of these modules into a uniﬁed business process that going through from accept the input of user (SPOE/WUI) up to the ORM (Object Relational Module). 3. Develop middlewares to couple the communication between modules. (Kafka, Redis, etc) 4. Develop an API Gateway for User Interface, as the single point of entry to ensure better access security. 5. Rebuilding RDBMS data structure to support Microservices. It is required to be assessed more comprehensive and involves all applications Application Breakdown Strategy 6. Develop a data synchronization tools for Old Data Structure and New one. 7. Create a staging database to support local data manipulation per modules before reaching stable transaction state. 8. Develop Data Warehouse System 9. Develop Data Lake for storing huge data from multiple data sources

[EWTT2022] Strategi Implementasi Database dalam Microservice Architecture.pdf

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[EWTT2022] Strategi Implementasi Database dalam Microservice Architecture.pdf