DevCube

DevCube is a Substack focusing on insights and practical advice in software design, devops, Kubernetes, and site reliability engineering (SRE). It provides tutorials, discussions on new features and tools, basic and advanced concepts in containerization, metrics design with tools like Prometheus and Grafana, and reflections on development practices and trends.

Software Design DevOps Kubernetes Site Reliability Engineering Containerization Monitoring and Metrics Development Practices Technology Trends

The hottest Substack posts of DevCube

And their main takeaways

New Docker Goodies: Init and Watch

19 implied HN points • 02 May 23

🕹 Technology Docker Development

The Docker team has released new features called Init and Watch.
These new Docker features aim to improve workflows and daily work with Docker.
Robert Nemet shares his experience trying out these new Docker features.

Building Smaller, Rootless, Non-Shell Docker Images and Other Things

19 implied HN points • 17 Apr 23

🕹 Technology Development Containers Programming Security Blogging

Consider packaging applications in Docker images for Kubernetes clusters.
Ensure Docker images are rootless and without unnecessary shell commands for better security.
Use BuildKit, --cache-to, and --cache-from flags to optimize the Docker image building process.

Some practical tasks with k8s Pods

2 HN points • 26 Feb 23

🕹 Technology Kubernetes Microservices Containers Development

When working with microservices and Kubernetes, it's important to remember basic tasks like troubleshooting Pod startup and accessing logs.
Don't solely rely on different tools for Kubernetes tasks, remember the fundamental basics.
Appreciate foundational explanations like Liz Rice's video on containers, even if they are older, for understanding container technology.

Understanding Event-Driven Metrics

0 implied HN points • 05 Mar 23

🕹 Technology Metrics Software Design Data Analysis

Event-driven systems have asynchronous actions and eventual consistency.
Metrics are crucial for decision-making, monitoring, and predicting problems in the system.
Metric design depends on the system component, targeting different aspects like user experience, system health, and usage statistics.

How to Design Metrics With Prometheus Metric Types: the USE Method

0 implied HN points • 21 Mar 23

🕹 Technology Metrics System Design Monitoring

The USE method for designing metrics focuses on Utilization, Errors, and Saturation of system resources.
Implementing the USE method involves observing CPU, memory, and network metrics with tools like Prometheus and Grafana.
CPU utilization can be calculated using metrics like node_cpu_seconds_total to understand how busy the CPU is.

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Example: API Metrics with Prometheus and Grafana

0 implied HN points • 29 Mar 23

🕹 Technology Metrics

Post provides a practical example of implementing API metrics with Prometheus and Grafana.
Setup includes multiple API services and a database connected via HTTP calls for monitoring.
Code for the implementation is available on a GitHub repository.

How to Create a Local Development Environment with Docker Compose

0 implied HN points • 03 Apr 23

🕹 Technology Development Docker Environment Containers Dependencies

In development, replicate only a minimal set of required dependencies.
Replicas of dependencies in a local environment can function with less memory and CPU than the original.
Replicating only a minimal set of dependencies allows for faster testing and development cycles.

Learning eBPF: Setting Local Box

0 implied HN points • 09 May 23

🕹 Technology Programming

eBPF is an old technology gaining traction for building distributed systems.
It promises to be a good tool with huge potential for challenges in system building.
Consider subscribing to learn more and support the author's work.

How to Design Metrics With Prometheus Metric Types

0 implied HN points • 14 Mar 23

🕹 Technology Monitoring Data Modeling

Prometheus has 4 main metric types: Counter, Gauge, Histogram, and Summary.
Counter is used for values that can only increase.
Gauge is used for values that can increase and decrease.

Building Docker Image Faster

0 implied HN points • 10 Apr 23

🕹 Technology Development Docker CI/CD

Building docker images can be time-consuming, especially in CI/CD pipelines.
To speed up the process, consider using cache, layering your Dockerfile, and utilizing multi-stage builds.
Ensure your Dockerfile is correctly set up, specifying versions, exposing necessary ports, and addressing platform compatibility.

Is Outsourcing Killing Developers

0 implied HN points • 24 Apr 23

🕹 Technology Development Outsourcing Career growth Innovation Work Environment

Outsourcing can be detrimental to a developer's career
Working in countries with weak innovation culture makes avoiding outsourcing difficult
Outsourcing can hinder developers' innovation skills and push them out of their comfort zones

The Beginning...

0 implied HN points • 26 Feb 23

🕹 Technology Programming Web Development Software Engineering Tech community Newsletter

The author started the newsletter to connect with like-minded individuals in the tech industry.
Readers can expect tech-related posts with practical examples and insights on work environment and human interaction.
The author aims to keep the newsletter concise, with more detailed articles available on their website.