Learn how to create a serverless Angular app, and get rid of concerns like elasticity, scale, and resiliency so you can concentrate fully on your code.
Learn how to use Amazon SQS with a simple Java program to send a message from a producer running in a process and consume the message by a consumer in another process.
There's no silver bullet when it comes to Docker logging. Docker logs are super useful, but they represent only one dimension of data being generated by your Docker host.
How to get started using free, preprocessed CommonCrawl web crawl datasets that you could use for machine learning, natural language processing, and more.
Learn about in-memory MapReduce, the Ignite in-memory file system, and the Hadoop file system cache. Also learn how to install and configure Hadoop and Ignite.
In this post we take a look at how to quickly create a Python function using AWS Lambda, including their configurations and uploading them to the service.
You can augment and enhance Apache Spark clusters using Amazon EC2's computing resources. Find out how to set up clusters and run master and slave daemons on one node.
Learn how to make sense of IaaS architecture, identifying API usage in apps, monitoring external services, dependencies, and APIs, and tackling dependencies.
When it comes to integrating and managing data, there are quite a few tasks that are downright tedious. Data engineering is a tough job, but somebody's gotta do it!
Set up your pipeline so that when changes occur to a project in the monorepo, the CI for that corresponding project is triggered and a Docker image is built and deployed.
You've got three ways. The first one is the standard one following docker-compose conventions. The other ones can be used for defining reusable pieces for your tests.
You can use cloud tools to spice up your ASP.NET Core app. Azure Active Directories can help with user authentication and to customize usernames for a nicer appearance.
We link Docker containers with each other to enable communication between them or to be sure that all of the tools and microservices are running on the same machine.