Aws

These days there are multiple ways to deploy a workload, be it cloud-based or bare-metal. For cloud, depending on whether you are using PaaS or IaaS, backup options can vary. Why do we need to backup? Because your workloads can contain a state, this can be stored as local files, inside a database, or as other assets outside the application itself. Take a database for example, ideally you would need a daily backup so you can revert a database to a state before its corruption without losing as much data. Some workloads might store uploaded images, for simplicity let’s say they are being written to disk. ...

For a machine learning project, usually it is divided into two main categories: research and production. For research ML project, the model would be created and used locally on a researcher’s machine. For a production ML project, a deployment would be involved. Usual pattern is to create a service to load a model, accept input, then return a prediction. Production ML is also divided into two main patterns: batch or real-time. For batch inference, a job would be triggered on an interval to pre-calculate predictions, then store somewhere. As for real-time inference, it is more tricky, since this involves web application architecture (at least the data and application tier). ...

Platform engineering is all the rage these days. Often, you’ll often hear this term with the keyword DevX. How are they related? Imagine you are working on a microservice backend. You are just starting out, so you don’t have much features to work on yet. But as a PoC, you only need to [fetch data] and [return aggregated price]. You can do microservices on Kubernetes, but you are not familiar with DevOps so you turn to a cloud provider - AWS. ...

Imagine having multiple services running, each has its own logs. Most people don’t read them, and they shouldn’t, because services emit a lot of logs! But we need them, because it’s the only way to diagnose and troubleshoot system errors. But you might say “my service is not a system! It’s only doing tiny stuff!” Gotta break it to you, your small part is a piece in a large system networks stitched together! So your seemingly-tiny service is also important! ...

Background Ever wonder how websites (and everything in between) work? Chances are you can create a project running on your local machine. It works as you expected, but to let other people access it, you have to “deploy” it. For many years, to support a lot of request volumes you need to run your applications in a data center. These days this setup is known as on-premise. ...