Often you can face the requirement to implement a generic approach to send emails from all your applications or micro-services. This post describes a possible Serverless Architecture that provides the mechanism to send emails through an API endpoint within Amazon Web Service.
Application Requirements
- Serverless.
- Fault-tolerance.
- Support attachments.
Architecture
The use of AWS…
There are many use-cases where a serverless architecture has a lot of benefits and of course an API service is not the exception. In a previous post, we learned how to deploy a Flask application on EC2 using a Load Balancer and Auto Scaling Groups. …
Dataproc is a managed Apache Spark / Apache Hadoop service that lets you take advantage of some of those open source data tools for batch, querying and streaming processing and machine learning.
This project is intended to explain the way you can run an Apache Spark script into Google Cloud…
Even if we already have tools such as Apache Hadoop, Apache Spark and Apache Flink there are some situations when we could need a tool that provide us a kind of abstraction between our application logic and the big data ecosystem or even to provide a unified model for both…
Building serverless ETL pipelines using Amazon Glue.
AWS Glue automatically discovers and categorise your data and make it immediately searchable and query-able using Amazon Athena, Amazon Redshift or Amazon EMR.
In this example project you’ll learn how to use AWS Glue to transform your data stored in S3 buckets and…
Sometimes a serverless approach using Lambda Functions won’t be the best solution for our project necessities. …
Deploying Lambda Functions written in Python that use custom dependencies not included in AWS Lambda Runtime for Python with Terraform as Infrastructure as Code (IaC).
In this article, we will learn:
- How to deploy Lambda function on Amazon Web Services.
- How to use Terraform to deploy our project infrastructure.
- How…
