Category: Developer Tools

Managing data across diverse environments can be a complex and daunting task. Amazon DataZone simplifies this so you can catalog, discover, share, and govern data stored across AWS, on premises, and third-party sources. Many organizations manage vast amounts of data assets owned by various teams, creating a complex landscape that poses challenges for scalable data […]

In this series, we talk about Swisscom’s journey of automating Amazon Redshift provisioning as part of the Swisscom One Data Platform (ODP) solution using the AWS Cloud Development Kit (AWS CDK), and we provide code snippets and the other useful references. In Part 1, we did a deep dive on provisioning a secure and compliant […]

In this post, we deep dive into provisioning a secure and compliant Redshift cluster using the AWS CDK and discuss the best practices of secret rotation. We also explain how Swisscom used AWS CDK custom resources in automating the creation of dynamic user groups that are relevant for the AWS Identity and Access management (IAM) roles matching different job functions.

This is a guest blog post co-written with Corey Johnson from Huron. Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned owners, last updated date, used by whom, how frequently, and more. It helps engineers, […]

August 30, 2023: Amazon Kinesis Data Analytics has been renamed to Amazon Managed Service for Apache Flink. Read the announcement in the AWS News Blog and learn more. Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Customers are already using Kinesis Data Analytics […]

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage the instance type, instance size, lifecycle management, pausing, resuming, and so on. It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what […]

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning (ML), and application development. It’s serverless, so there’s no infrastructure to set up or manage. This post provides a step-by-step guide to build a continuous integration and continuous delivery (CI/CD) pipeline using AWS […]

Data engineers use various Python packages to meet their data processing requirements while building data pipelines with AWS Glue PySpark Jobs. Languages like Python and Scala are commonly used in data pipeline development. Developers can take advantage of their open-source packages or even customize their own to make it easier and faster to perform use […]

February 9, 2024: Amazon Kinesis Data Firehose has been renamed to Amazon Data Firehose. Read the AWS What’s New post to learn more. Our customers want to make sure their users have the best experience running their application on AWS. To make this happen, you need to monitor and fix software problems as quickly as […]

CI/CD in the context of application development is a well-understood topic, and developers can choose from numerous patterns and tools to build their pipelines to handle the build, test, and deploy cycle when a new commit gets into version control. For stored procedures or even schema changes that are directly related to the application, this […]