Utilize Microservices Architecture to Optimize Your Application Performance

Deploy Microservices with Function Compute: Visitor Card of Cloud Customer Service

This article shows you how you can deploy microservices on Alibaba Cloud with Function Compute by using Cloud Customer Service as an example.


Users have tried to migrate Java by themselves but encountered the following technical challenges:

Dependencies on Local JAR Packages

fccsplatform-common-crypto- is a package in the Maven warehouse in Alibaba Cloud’s internal network. It is only available to external network customers through Cloud Customer Service. The following XML fragment is a common way in which Maven depends on local JAR packages. Because this is not a typical scenario, additional information is required to complete it.


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The commodity purchase business includes three microservices:

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Visualizing a Microservices Architecture with AHAS

This blog explores how architectural visualization can help us identify problems that exist in our architecture, and ensure our system is highly available.

Why Do We Need Architectural Visualization?

Every time a microservice architecture is changed, it becomes more complex. Frequent architectural changes may lead to huge differences between the actual architecture and the expectations. Because of these changes, it is difficult for architects or system operations and maintenance (O&M) personnel to accurately remember the composition and interaction of all resources and instances.

  1. Architectural Problem Identification
    Based on the high-availability principle, a visual architecture diagram can help us assess possible security risks, for example, the system robustness in disaster tolerance, isolation, and self-healing dimensions. Second, some architectural link visualization tools (such as Yingyan) have greatly helped developers efficiently troubleshoot and locate problems during their actual work.
  2. System Availability Improvement
    With the upstream and downstream dependency graphs of the system architecture diagram, developers can quickly locate the source of the problem according to data dependency in the case of fault, greatly reducing the mean time to repair (MTTR). With the help of the architecture diagram, we can sort out the strong and weak dependencies in the system. We can either downgrade the weak dependencies during service peak times, or perform fault simulation for each component that the system depends on. By doing so, we can evaluate the reliability of the system as a whole in the case of local faults.

Common Architectural Visualization Practices

Many familiar architecture diagrams exist in static PowerPoint slides. While we may still be using these legacy architectural diagrams, they are often outdated after significant architectural changes. Using an outdated architecture diagram may lead to misunderstanding of the online architecture. We need to constantly update the view of the system architecture in our minds to be sensitive to any architectural changes. Big promotions or major system transformations happening each year provides us with opportunities to sort out and re-recognize the system architecture. Then we may use various tools to view the distribution of various system components, and the internal and external dependencies they have. This is the mostly commonly used method to sort out an architecture diagram. We may call it the “manual drafting method”.

Simplifying the World of Microservices and Container Technology

Microservices architecture involves developing applications as a suite of multiple independent modular services with each of them serving a unique purpose.

Microservice Overview

Microservices is a way of breaking large software projects into loosely coupled modules that communicate with each other through simple APIs.

Need of Microservices Architecture:

An independent application may have different individual modules that cater to the different business or technical needs. For a low-scale application with low complexity, the processing of overall tasks isn’t difficult when all modules are present in the same application. In fact, this improves program debugging speed and ensures a high level of execution efficiency.

Microservices Advantages

An application is made up of multiple services, where each service handles one set of tasks. In microservice architecture, these multiple services communicate with each other using web protocols, such as HTTP or JSON. Microservice advantages are:

  1. Easy-to-enhance: The code becomes easy to change, overwrite, and discard as per the requirement.
  2. Ease-of-deployment: Deployment or rollback of independent modules become easier and faster without any impact on the remaining system.
  3. Improved Fault Isolation: Failure of a single module doesn’t affect other modules present in the application.
  4. Individual Services Scalability: Demanding modules or services can be easily scaled up without any need of scaling up the whole application.
  5. Hybrid Programming Support: Gives flexibility to select the most appropriate technologies for individual services without any impact on other services.
  6. Simplified Development Process: Independent modules can be assigned to different teams/groups to make the overall development process easier and convenient.

Microservices: A silver bullet?

Although the name includes the qualifier, “micro,” its implementation requires manual efforts. If you do not have a complete understanding of the business field and are unaware of the true business needs, the management of multiple services along with numerous relevant processes becomes a daunting task. Besides, the number of processes grows when load balancing and messaging middleware are added. Management, operation, and orchestration of all these services become cumbersome. In addition, you need a DevOps expert for implementation and management of these architectures, which adds to overall overhead.

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Operations in Function Compute

This topic describes the basic operations in Function Compute. Function Compute allows you to quickly build an application by writing function code, meaning no server management is required. Additionally, Function Compute supports elastic scaling. You can use services on a Pay-As-You-Go basis.

Developer tools

Function Compute supports the following tools: command-line tool fcli, command-line tool fun, and console. You can use fcli or the console to build services or query logs.

Create a function

Functions are segments of application code that run a specific function, and are used in system scheduling and running. You can use the handlers provided by Function Compute to write code and then deploy the code as functions in Function Compute. Services in Function Compute correspond to the microservices in the software application architecture. When you build an application in Function Compute, you must abstract service logic into microservices as needed, and then implement the microservices as services in Function Compute.

Overview — Container Service for Kubernetes

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