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4 Microservices Caching Patterns at Wix Wix has a huge scale of traffic. more than 500 billion HTTP requests and more than 1.5 billion Kafka business events per day. Caching the responses and events is critical for having the best performance and resilience for Wix’s 1500 microservices. Photo by Jelle de Gier on Unsplash As traffic to your service grows, customers can face much longer loading and response times, and not return to your service. Network costs can increase and the unexpected load on your DBs can potentially cause them to fail. One of the ways you can mitigate these issues is to introduce a cache. A cache will reduce latency, by avoiding performing a costly query to a DB, or HTTP request to a Wix service or a 3rd party service. It will also reduce the needed scale to service these costly requests. It will also improve reliability, by making sure some data can be returned even if aforementioned DB or 3rd party service are currently unavailable. Below are 4 Caching patte...

  Chủ đề chính của bài viết này là mô tả làm thế nào để chúng ta có thể tích hợp một kiến trúc event-driven với microservices sử dụng   Event sourcing   và   CQRS . Microservices là độc lập, mô-đun services có kiến trúc lớp riêng của chúng. Microservices với cùng một cơ sở dữ liệu Khi microservices chia sẻ chung cơ sở dữ liệu, data model ở giữa các services có thể theo mối quan hệ giữa các tables được liên kết với các microservices. Cho ví dụ, có hai microservices đang chạy trong các containers của riêng chúng:  Order và  Customer . Order  service sẽ phụ trách việc tạo, xóa, cập nhật và nhận dữ liệu order.  Customer service sẽ làm việc với dữ liệu customer. Một customer có thể có nhiều orders, cái mà chúng ta gọi là quan hệ one-to-many. Cả hai tables nằm trong cùng một cơ sơ dữ liệu. Vì vậy, quan hệ one-to-many có thể được thành lập. Order  service và  Customer  service, mặc dù chạy trong những containers riêng biệt, có thể truy cập...

  In this post, we will look at three important patterns that can help you create microservices. Event Sourcing Event sourcing tries to solve the problem around atomically updating the database and also publishing an event. What this means is that when you do something on a Domain Entity, it can be treated like a Domain Event. And the state of the Domain Entity is stored as a sequence of these Domain Events. In other words, a new event is created whenever a new record is inserted or something is updated on an existing record. An event store keeps track of all the events occuring on the entity. Now, let's assume the following transactions occur on a particular account: Creation of the account with an initial balance of $100 USD. Account set to ACTIVE status. A friend paid some money back for sharing a meal. Deposit of $55 USD in the account. You bought ice cream for your significant other. Withdrawal of $20 USD. Your significant other didn't like the ice cream and so you had to ...

  Key takeaways The Microservice architecture functionally decomposes an application into services, each of which corresponds to a business capability. A key challenge when developing microservice-based business applications is that transactions, domain models, and queries resist decomposition. A domain model can be decomposed into Domain Driven Design aggregates. Each service’s business logic is a domain model consisting of one or more Domain Driven Design aggregates. Within a service, each transaction creates or updates a single aggregate. Events are used to maintain consistency between aggregates (and services). This article is a 2 part article. You can find  Part 2 here .  The  microservice architecture  is becoming increasingly popular. It is an approach to modularity that functionally decomposes an application into a set of services. It enables teams developing large, complex applications to deliver better software faster. They can adopt new technology mor...