The combination of SNS to SQS to Lambda is a common sight in serverless applications on AWS. Perhaps triggered by messages from an API function. This architecture is great for improving UX by offloading slow, asynchronous tasks so the API can stay responsive. It presents an interesting challenge for observability, however. Because observability tools are not able to trace invocations through this combination end-to-end. In X-Ray, for example, the trace would stop at SNS.

Yes. Privacy is (mostly) dead. Not to be all doom and gloom, but the state of online privacy is far from ideal. Many of us can agree that some semblance of privacy is indeed an excellent thing. We all wish for more privacy and more control over where our data ends up, what it's being used for, and who profits from it. While the fight for digital rights still rages, the right to privacy has been completely obliterated over the past decade or so.

Cloud has become the de facto way to build infrastructure, meaning cloud providers end up in charge of a significant amount of the apps we use every day. From the likes of Netflix, Slack, Ring and Doordash running on AWS or PayPal, Twitter and HSBC on GCP, it's easy to see how impactful a failure of any type can be. Let's look at some of the issues that have happened recently that have led business to consider how dependent they are on a single provider.

This is the second tutorial in a two-part series. You can also learn how to automate AWS Lambda function deployments to AWS CDK.

Ocean for Apache Spark has featured support for integration with Jupyter notebooks for quite some time – for details, please see our documentation. However, many developers would like to have this interactive notebook within their familiar IDE, such as VS Code, so that they can benefit from other IDE built-in features including Git integration. This article describes how to use VS Code to run Jupyter notebooks, while the code executes on an Ocean for Apache Spark cluster.

Among the 200+ fully features services that Amazon Web Services (AWS) offers, Elastic Compute Cloud (EC2) is the most popular. In the recent eG Innovations and DevOps Institute survey of 900+ IT professionals, cloud instances were the most commonly used cloud service, with 63% usage among respondents.

Open-source software (OSS) relational database management systems (RDBMSes) are becoming incredibly popular in the cloud computing world. In this article, I’ll discuss one of the most popular OSS relational databases, PostgreSQL, and the options you have for this database in the Microsoft Azure cloud. It’s worth noting these products are large with many detailed aspects, so consider this article a cursory, high-level overview of each offering.

AWS is a comprehensive, evolving cloud computing program built to provide IT infrastructure for businesses, and the program has an active user base of roughly 1,000,000 customers. With the massive responsibility of providing services for such a large customer base, it’s important for their services to be reliable and trustworthy.