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Building Serverless Apps with the AWS CDK Using TypeScript

The AWS Cloud Development Kit (CDK) lets you build serverless applications with the expressive power of a programming language like TypeScript. The CDK defines cloud infrastructure in code and deploys via AWS CloudFormation. In this post, we will build a Lambda function, an AWS Gateway API, and an S3 bucket to upload CSV files. The API will take requests in JSON and seamlessly convert them to CSV format. We will use the AWS CDK in TypeScript to reliably deploy our app through AWS CloudFormation. Ready?

Securing Access: A Guide to Implementing API Keys in AWS API Gateway

Implementing an API gateway API key is key to securing your APIs. In this guide, you’ll learn to generate and apply these keys, ensuring your AWS API gateway effectively authenticates and processes authorized client requests. We’ll dive into setup procedures, management tips, and security best practices to help you maintain robust access control. Get ready to fortify your services’ entry points.

Making the Leap from Azure to Codemagic

This article was origninally published here. In this article, we’re spilling the beans on why we switched from Azure to Codemagic and showing you exactly how to supercharge your CI/CD game. We’re covering the entire spectrum — from compiling and creating release notes to testing and deployment. Let’s rewind a bit to our iOS developers’ struggles. Our CI process (think builds, tests, and coverage) was taking a chunky 40–50 minutes.

BigQuery vs. Redshift: Which One Should You Choose?

Considering BigQuery vs. Redshift for your data warehousing needs? This guide is for you. Both BigQuery and Redshift stand as leading cloud data warehouse solutions each offering a multitude of features catering to multiple use cases. Google’s BigQuery offers seamless scalability and performance within its cloud platform, while Amazon’s Redshift provides great parallel processing and tuning options.

How to Load Data from AWS S3 to Snowflake

According to a study by Statista, the cloud storage market was valued at $90.17 billion in 2022 and will reach a value of $472.47 billion by 2030. These figures indicate a growing shift toward cloud computing and data storage solutions. A typical scenario in modern data management involves data transfer from cloud storage to cloud-based computing platforms. Amazon’s Simple Storage Service (S3) is among the go-to options for the former, and businesses trust Snowflake for the latter.

Confluent announces general availability of Confluent Cloud for Apache Flink®, simplifying stream processing to power next-gen apps

Confluent Cloud for Apache Flink®, a leading cloud-native, serverless Flink service is now available on AWS, Google Cloud, and Microsoft Azure. Confluent's fully managed, cloud-native service for Flink helps customers build high-quality data streams for data pipelines, real-time applications, and analytics.

From Theory to Practice: Real-World Applications of Cloud Platform Integration

Many companies talk about cloud integration in a theoretical way. But cloud technologies aren’t theoretical. They’re a rapidly growing segment of technology that’s changing the way businesses operate. In the following article, we move from theory to practice so you can have a more realistic vision of what to expect when you move more of your on-site tech to the cloud.