microservices
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  Yum
  •  
  •  
  •  
  •   
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  

API Gateway is one of the efficient tools to create consistent and logical APIs through disconnected or remote function providers. Using API Gateway with AWS Lambda, tech-savvy can create serverless APIs.

However API Gateway acts as layers between the codes and requests, there are latency concerns of the working of API Gateway Lambdas. Tech-savvy believes that it may show inefficiency while working with other architectures. There are some causes behind the performance pitfalls, but there are some solutions for latency issues associated with the API Gateway-governed AWS lambda functions.

API Gateway

Developers dealing with microservice’s architecture face issues while devising to build coherent APIs hosted from different machines.

Developers use API Gateway that acts as a central dispatch system for backend function requests. This is why they use it to organize APIs with URL patterns through different machines.

AWS’ API Gateway is the implementation of the pattern when focusing on AWS services. Using it, users can bound EC2 functions, and standalone external API servers and AWS Lambda function behind the single, coherent API. Thus, it becomes possible to secure API calls in available surroundings and provide a ready-made application interface that helps to enhance the performance and security requirements.

Performance Problems

As we know that API gateway acts as layers between the calling application and codes, a small amount of latency is inevitable. This can be the effect of translation required to direct requests of appropriate sources. Translations are easy to apply and have a minimum effect on API requests. As per the record of users’ report, it is suggested that the intensity of latency can be more than expected.

Since we don’t have appropriate details for the implementation of API Gateway in the AWS system, we have become failed to find the root causes of the aberrant latency cases. Check out the following issues that might be the cause of its problems.

Cross-region Calls

API Gateway calls to resources existing in different AWS regions show more latency than calls where the API Gateway and the resource are colocated.

Authentification

It is important to know the differences between the resource-based and role-based authentification. API Gateway Lambdas that are using the IAM roles for the authentification of API endpoints will incur extra costs. The backend verification is required for the identification and accessibility of users, therefore, it incurs extra costs.

Encryption & Decryption

If the request catching exists with enabled encryption, the encryption and decryption of the cache entries may add latency to requests.

Cold Request Starts

It is a common problem when we deal with AWS Lambda functions. The hot/cold approach of AWS Lambda will increase the latency of calls to functions that are idle.

Workarounds for Performance Problems

Performance issues related to AWS can be solved through existing workarounds. Here are the following suggestions that can reduce the effect of the AWS-API Gateway translation and improve the response time of AWS Lambda functions.

Colocation of Resources

Accidental cross-region chatter is one of the most important causes of call latency. Colocating the application resources into the same AWS will minimize such effects.

Alter the Modification

Despite the availability of role authentification, AWS API Gateway Resource Policies will let you use the resource authentification at API endpoints. Therefore, it eliminates the need for role verification.

Disable the Encryption

In a secured application, developers can disable the cache encryption & decryption and check whether API request cache fetches are up to the mark.

Target Serverless Functions

AWS Lambda uses hot-cold architecture, and the role of serverless functions makes the system warm and reduce cold starts that an application faces. This reduces the overall request latency.

Alternatives

The above workarounds are efficient to solve most latency issues where they have a less impact on API Gateway calls and AWS Lambda. The serious problems can be the cause of insurmountable delay in the requests. Check out a few alternatives that are efficient in solving the latency in multiple scenarios.

Host the Function

Promote a Lamba Function on standalone microservices through AWS EC2. This will provide the dedicated endpoint for removing API gateway from the slot. In the whole process, you will have to write a wrapper function and install a web server for handling for the application of the process. This is one of the efficient solutions for this problem.

Use Containers for Serverless Functions

The application of docker containers and container hosts will provide the benefits of a serverless environment. Now, tech-savvy needs not to maintain EC2.

Find Different Serverless Hosts

Microsoft Azure and Google Cloud Compute suggest native HTTP interface for accessing the serverless functions. Thus, it provides the ability to translate an API Gateway through resources directly.

AWS API Gateway provides an efficient tool to create serverless applications through a unified API interface. There are latency problems, but workarounds are available to improve the performance of server requests.