Category: Cloud

A common implementation pattern in backend systems is to call an external service directly inside a request handler. For example: @router.post(“/process-document”) async def process_document(file: UploadFile):     content = await file.read()     response = requests.post(        

The power of Salesforce often depends on its ability to exchange data with external systems, from ERPs to marketing platforms. MuleSoft, Salesforce’s integration platform, excels at this by providing pre-built connectors that drastically simplify the complexities of API communication. For

An AWS Lambda runtime is the environment that executes your function code. It includes: The programming language version (e.g., Python 3.9 or 3.11) The AWS SDK (boto3) System libraries and environment configurations When AWS releases new runtimes, older ones are

Session security stands as a critical component of web application development. Within ASP.NET and ASP.NET Core frameworks, session cookies play a vital role in tracking authenticated users. Without proper security measures, these cookies become prime targets for malicious actors seeking

To integrate SQL into an application using Azure Portal, there are a few steps you need to follow depending on the SQL database service you want to use. The most generally used SQL services on Azure are Azure SQL Database

We can build many real-time applications such as chat applications, multiplayer games, financial trading platforms, and collaboration platforms using WebSockets with AWS API Gateway, Lambda, and dynamoDB. In this blog we will learn how to build real-time applications using WebSockets

AWS Web Services is a cloud computing platform that is widely used by different types of organizations and developers all over the world. For example: Medical industries are using it to create personalized treatments for their patients. Finance industries are

Deploying a Lambda function to AWS for every minor update can slow down development. The AWS SAM CLI (sam local) enables you to run and debug Lambda functions on your local machine inside a Docker container that replicates the AWS

AWS Lambda has become a cornerstone of serverless computing, enabling developers to focus on writing code without managing infrastructure. However, to ensure optimal performance and cost efficiency, it’s crucial to adhere to certain best practices when utilizing AWS Lambda functions.