Contents
- 1 What is reporting in microservices?
- 2 What is the main reason for reporting being a challenge within a Microservice architecture?
- 3 What are the challenges in Microservice architecture?
- 4 Is flask a microservice?
- 5 How to optimize report generation in microservices?
- 6 How is aggregation service used in microservice architecture?
What is reporting in microservices?
One of the ways reporting is typically handled in a microservices architecture is to use what is known as the database pull model, where a reporting service (or reporting requests) pulls the data directly from the service databases.
What is the main reason for reporting being a challenge within a Microservice architecture?
The complexity of microservice design forces the developers to plan and act more carefully. The external API communication in microservice architecture leads to an increased risk of attacks. It can be challenging to switch between them in the development and deployment processes.
What are the major challenges of Microservice architecture?
Challenges of MicroService Inter Service Communication – MicroServices will rely on each other and they will have to communicate. A common communication channel needs to be framed using HTTP/ESB etc. Health Monitoring – There are more services to monitor which may be developed using different programming languages.
What are the challenges in Microservice architecture?
Scalability is another operational challenge associated with microservices architecture. Although the scalability of microservices is often touted as an advantage, successfully scaling your microservice-based applications is challenging. Optimizing and scaling require more complex coordination.
Is flask a microservice?
Flask is a micro web framework written in Python. We will containerize our Flask application using Docker, an open source tool used to create and execute applications in containers, and deploy it to Amazon Elastic Container Service (Amazon ECS).
How to build a reporting service in microservice architecture?
First and foremost thing is to design a reporting database correctly and then write a master listener which reads from each topic in Kafka and update the reporting database correctly. These master listeners are just workers that read messages from different topics in Kafka and update the database with the right information.
How to optimize report generation in microservices?
Report generation relied on engaging different services and caused performance issues. That’s why the Freshcode team decided to optimize the app’s architecture by creating a separate reporting microservice. It received data from all the databases, saved it, and transformed it into custom reports.
How is aggregation service used in microservice architecture?
Aggregation service is just a Facade over different service, aggregating data from all other services and return back desired results. With the above 2 techniques, your Data Team will not be happy as they are still joining between the different database of microservice and pushing it to the data warehouse.
Which is the best database for reporting in microservices?
It is built specifically for Amazon Redshift, Google BigQuery, and Snowflake. Oracle was the central database of our microservice reporting system. Considering this fact, the Freshcode team chose StreamSets Data Collector that offered Oracle CDC support out of the box.