Get Started with Serverless Architectures: Top Tools You Need to Know

1

Firebase

Firebase Firebase is a serverless app development platform based on Google Cloud. It integrates with several other Google products, such as analytics, and provides client-side SDKs for building iOS, Android, and web applications. Firebase offers Cloud Functions edge deployments, enabling the serverless execution of backend code in response to events triggered by HTTPS requests. This allows you to build responsive and scalable applications without managing servers.

#Developer Tools #App Development #Backend As A Service 270 social mentions

2

SignalR

Azure Functions integrates with most tools in the Microsoft ecosystem, including Azure Queue (adding messages to a queue) and SignalR (sending real-time updates). This makes Azure Functions the perfect choice for real-time applications like chat apps. Here are the top features:.

#Developer Tools #App Development #Software Libraries 5 social mentions

3

Google Vision AI

Out of all the tools in this list, Google Cloud Functions is the best for image analysis. While AWS Lambda is good for processing images, Google Cloud Functions is the perfect choice for applications that require image analysis because of its integration with Google Cloud Vision API. It is excellent for building social media applications and applications with face recognition. Here are its key features:.

#OCR #OCR API #Image Recognition 49 social mentions

4

Google Cloud Functions

Google Cloud Functions Google Cloud Functions is a scalable serverless execution environment for building and connecting cloud services. It provides triggers automatically, with out-of-the-box support for HTTP and event-driven triggers from GCP services. There are two types of Google Cloud Functions: API cloud functions and event-driven cloud functions. The API cloud functions are invoked from standard HTTP requests, while the events-driven cloud functions handle events from the cloud infrastructure. The event driver provides you with a trigger, which is stored in the data, and then sends you a response according to your function.

#Cloud Computing #Cloud Hosting #Backend As A Service 47 social mentions

5

Amazon S3

AWS Lambda is perfect for applications that process images due to its integration with AWS S3, an object storage service. A good example is an e-commerce application that renders images in different sizes. Here are the top features:.

#Cloud Hosting #Object Storage #Cloud Storage 195 social mentions

6

AWS Lambda

AWS Lambda AWS Lambda is a compute service that runs your backend code in response to events such as object uploads and HTTP requests. It automatically handles all the capacity, patching, scaling, and administration of the infrastructure to run your AWS Lambda functions. Lambda also provides visibility and performance and automatically manages the computing resources, making it easy to build applications that respond quickly to new information. Like other serverless providers, Lambda as a service doesn't come with built-in storage. Lambda functions are stateless; each invocation is considered a clean slate. Nevertheless, Lambda functions can work with additional services that provide storage. Common examples include S3 (Simple Storage Service), EFS (Elastic File System), and databases like RDS, Neon, and DynamoDB.

#Cloud Computing #Cloud Hosting #Business & Commerce 273 social mentions

7

Amazon Elastic File System

AWS Lambda AWS Lambda is a compute service that runs your backend code in response to events such as object uploads and HTTP requests. It automatically handles all the capacity, patching, scaling, and administration of the infrastructure to run your AWS Lambda functions. Lambda also provides visibility and performance and automatically manages the computing resources, making it easy to build applications that respond quickly to new information. Like other serverless providers, Lambda as a service doesn't come with built-in storage. Lambda functions are stateless; each invocation is considered a clean slate. Nevertheless, Lambda functions can work with additional services that provide storage. Common examples include S3 (Simple Storage Service), EFS (Elastic File System), and databases like RDS, Neon, and DynamoDB.

#File Management #Work Collaboration #Project Management 25 social mentions

8

Amazon CloudWatch

Monitoring and Logging: Lambda integrates with Amazon CloudWatch for monitoring and logging, providing insights into function performance and errors.

#Monitoring Tools #Log Management #Application Performance Monitoring 70 social mentions