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When you work with AWS at scale, visibility and auditing become as important as compute and storage. Knowing who did what, when, and from where is critical for security, compliance, and troubleshooting. In this blog, I’ll walk through: What CloudTra...

When it comes to big data analysis, AWS provides some of the most powerful and cost-effective tools. Recently, I worked on a simple yet impactful setup where I uploaded CSV files into Amazon S3, exposed them through CloudFront, and ran powerful SQL q...

In the fast-evolving world of IoT, managing the relentless flow of data from MQTT topics into a scalable IoT pipeline is no small feat. This is the story of how I built one such pipeline using AWS Kinesis, Lambda, Glue Catalog, and S3, transforming r...

[ Included: the architecture, YAMLs, and Python Code for the 2 microservices (Athena→SQS & SQS→SageMaker) to make this pipeline work. ] Secured Data Pipeline: Secure your (Athena, SQS) Credentials in Vault/Secret Manager for the Pods to Query Them P...

Hi there 👋, I'm Tanishka Marrott Today, I'll be taking you through an exciting journey where we've seamlessly integrated the primary phases of data ingestion, processing, storage, and visualization into a single cohesive pipeline using AWS services ...

Serverless architectures are becoming a popular choice due to their ability to scale easily and potentially reduce costs. Services like AWS Lambda, S3, and API Gateway offer a range of benefits, making it easier to manage applications and infrastruct...
