The hottest Containers Substack posts right now

And their main takeaways
Category
Top Technology Topics

Yes, you should use a Python venv in a container like docker

Bite code! • 1957 implied HN points • 11 Jan 25
🕹 Technology Software Programming Development DevOps Containers Python
  1. Using a Python virtual environment (venv) in Docker is a good practice, even though it's possible to skip it. It helps avoid conflicts when installing dependencies, keeping your project stable and organized.
  2. Even if your Docker image seems minimal, it's hard to maintain that state. Relying on the base image without a venv can lead to unexpected issues later on, especially as dependencies change.
  3. Using a venv simplifies your workflow and ensures consistency across different environments. It protects you from potential problems that arise when system packages interact with Python packages.
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Some practical tasks with k8s Pods

DevCube • 2 HN points • 26 Feb 23
🕹 Technology Kubernetes Microservices Containers Development
  1. When working with microservices and Kubernetes, it's important to remember basic tasks like troubleshooting Pod startup and accessing logs.
  2. Don't solely rely on different tools for Kubernetes tasks, remember the fundamental basics.
  3. Appreciate foundational explanations like Liz Rice's video on containers, even if they are older, for understanding container technology.

The Nextjs that runs on Vercel is not the same that runs on your infrastructure

Microfrontends, Architecture and Trade-offs • 0 implied HN points • 03 Jan 24
🕹 Technology Frameworks Serverless Containers Scalability Infrastructure
  1. When using modern frameworks like NextJS or Remix, running on serverless infrastructure is common and efficient.
  2. Deploying a NextJS app on Vercel leverages serverless/edge functions, leading to better scaling without nodejs event loop limitations.
  3. For more control and customization, consider options like deploying NextJS in a containerized, auto-scalable environment or creating a custom framework using vite-plugin-ssr.

Redis-driven Dataflow for Clickstream Aggregation

Bytewax • 0 implied HN points • 19 Oct 23
🕹 Technology Data processing Python Containers
  1. Bytewax framework strikes a balance between being user-friendly without hiding underlying mechanisms.
  2. When writing custom connectors with Bytewax, focus on transforming messages in the `next_batch` method and delegate other processing to the dataflow.
  3. Consider the partitioned nature of inputs and utilize `list_parts` and `build_part` methods for handling multiple data streams in Bytewax.

Building DroneCI Pipelines

Certo Modo • 0 implied HN points • 14 Nov 23
🕹 Technology CI/CD DevOps Software Development Monitoring Containers
  1. Each pipeline step in DroneCI can use different container images, allowing for versatile tasks like testing across multiple platforms.
  2. Base64 encoding secrets in DroneCI is a useful technique for securely handling sensitive information like SSH keys.
  3. Monitoring DroneCI pipelines can be enhanced by utilizing Prometheus to track status, duration, and using a Push Gateway to export build metrics.

Routing 101 Part 1

Paul’s Substack • 0 implied HN points • 27 Jun 24
🕹 Technology Programming Containers
  1. Routing involves sending messages between components like parent and child containers.
  2. Basic routing includes sending messages down from parent to child, across between children, and up from child to parent.
  3. Consider factors like multiple output messages, multiple inputs and outputs, and different routing scenarios when designing a routing system.

Shipping Fast with FastAPI and Cloud Run

realkinetic • 0 implied HN points • 28 May 24
🕹 Technology Programming Cloud Computing APIs Containers Development
  1. Building APIs with FastAPI and deploying them on Cloud Run can help you ship features quickly while maintaining enterprise standards and leveraging cloud resources.
  2. To ship a backend API using FastAPI and Cloud Run, you will need to work with Python >= 3.10, Google Cloud services, Docker for containerization, and establish logging, monitoring, and testing strategies.
  3. By combining FastAPI for API development, Firestore for database interaction, and Cloud Run for deployment, you can create a robust backend system that can be efficiently tested, deployed, and managed in the cloud.

There and Back Again: Why PaaS Is Passé (And Why It’s Not)

realkinetic • 0 implied HN points • 06 Feb 18
🕹 Technology Cloud Computing Serverless Containers Application development
  1. In the world of cloud computing, PaaS (Platform as a Service) has lost some of its appeal due to concerns like vendor lock-in and limitations.
  2. The cloud landscape is complex and evolving rapidly, with tools like Kubernetes and serverless reshaping how applications are developed and managed.
  3. Major cloud providers are moving towards unbundling and rebundling PaaS components to offer the benefits of accelerated development while retaining flexibility.