Netlify is the platform your developers love for building highly-performant and dynamic web sites, e-commerce stores and applications.
Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.Amazon SQS Integrations
Netlify + Amazon SQSCreate Queue to Amazon SQS from New Deploy Succeeded in Netlify Read More...
Netlify + Amazon SQSCreate Message to Amazon SQS from New Deploy Succeeded in Netlify Read More...
Netlify + Amazon SQSCreate JSON Message to Amazon SQS from New Deploy Succeeded in Netlify Read More...
Netlify + Amazon SQSCreate Queue to Amazon SQS from New Deploy Failed in Netlify Read More...
Netlify + Amazon SQSCreate Message to Amazon SQS from New Deploy Failed in Netlify Read More...
It's easy to connect Netlify + Amazon SQS without coding knowledge. Start creating your own business flow.
Triggers when a new deploy of your site has failed.
Triggers when a new deploy of your site has started building.
Triggers when a new version of your site has successfully deployed.
Triggers when a form receives a new submission.
Triggers when you add a new queue
Performs a new deploy of an existing site.
Create a new JSON message using data from the source trigger
Create a new message.
Create a new queue
Netlify is a hosting platform for static websites and web apps. The platform provides everything needed to deploy, host, and scale modern websites and apps. It has a wide range of features, including SSL, global performance monitoring, custom domains, continuous deployment, and more. Netlify supports all major frameworks and languages (React, Ruby on Rails, Django, etc.. and integrates with popular services such as GitHub, Bitbucket, GitLab, Gitlab CI, Google Cloud Storage, AWS S3, Azure Blob Storage, Dropbox, and Google Drive.
Amazon Simple Queue Service (SQS. is a distributed message queue that helps process messages in the required order by using a simple message format. The queue scales automatically as applications grow. When a new message arrives in an Amazon SQS queue, the message stays in the queue until a consumer application retrieves it. You can use Amazon SQS to transfer messages from one component of an application to another. For example, you might use it to pass messages between two different pieces of web-based software hosted on AWS.
It has become more common these days for enterprises to have hybrid cloud architecture where they want to run their internal applications on private data centers while running their public facing applications on cloud servers. In such an environment there could be situations where functions running on AWS must send information to internal server which can be accessed using a key pair saved in AWS. And vice versa information must be sent from internal server to AWS. Most of enterprise applications are built using microservices architecture where there are multiple microservices communicating with each other over HTTP protocp.
Integrating Netlify and Amazon SQS services can help us achieve the fplowing benefits:
To send information from AWS Lambda function to internal server when there is a call from the external client. To send any log information or any other information from internal server to AWS Lambda Lambda function.
By using Netlify and Amazon SQS services we can achieve the fplowing benefits:
Easy implementation . When the application is coded only once for both internal server and AWS Lambda functions then there will not be any additional workload on developers’ shoulder. This way integration time for the project will be reduced. Cost savings . Since we will not need to build separate applications for internal servers and AWS Lambda functions then cost of building separate applications for both internal servers and AWS Lambda functions will be saved. Scalability . Since our application can have multiple instances running on various machines then scalability of internal server will also improve as number of instances can vary based on load. Because of this cost of maintaining additional infrastructure will also reduce. Security . Since there is no direct communication between AWS Lambda function and internal server then security becomes easier for the application owner. So now if there is any malicious code in the application then it will not be able to reach internal server directly. Flexibility . Now since we have centralised messaging system if we want to add/remove some functionality from our application then we don’t need to make changes at multiple places. We can just change it at a single place i.e. centralised messaging system used by all services in your application. If you have two separate applications then you will need to make changes at multiple places in your application if you want to add/remove functionality from external services or update certain API endpoints etc. Maintenance . Since we have centralised messaging system then maintenance cost of the application will also reduce as there is only one main application deployed whose maintenance cost will be lower than two applications running separately. Availability . If we have multiple instances of our application running on multiple machines then it is quite possible that if one instance crashes then other instances of our application would be available so users will not experience any downtime during outage of one instance of our application. Reliability . Even if one instance of application crashes then there are chances that other instances may be up so user do not experience any downtime which otherwise could happen if we had only one instance running for our entire application without any redundancy. Security . We can have HTTPS enabled for our entire application then all data sent/received by our application will go through encrypted channel whereas if we have one instance without HTTPS enabled then information sent/received by our application would not be encrypted which can raise security issues for us if someone tries to hack into your server through unprotected channel. Scalability . By having multiple instances running for our entire application then scalability of our application also improves as number of instances can vary based on load whereas if we have only one instance running for entire application then scalability becomes a problem when number of users increase as we will need to add more infrastructure when number of users increases but that would not be possible if we have only one instance running because adding infrastructure takes time and money therefore if you have only one instance running for entire application then your scalability becomes very poor which may lead to downtime of your application when number of users increase beyond your expectation.
With the above integration we can achieve easier implementation, lower cost, high availability, better security, higher scalability and lower maintenance costs when compared to having separate applications for internal servers and AWS Lambda functions.
The process to integrate Netlify and Amazon SQS may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.