The hottest CI/CD Substack posts right now

And their main takeaways
Category
Top Technology Topics

The Tech Buffet #21: Deploy A Production-Ready Streamlit App with Cloud Run and Cloud Build

The Tech Buffet • 99 implied HN points • 22 Mar 24
🕹 Technology Cloud Computing App Development DevOps CI/CD
  1. Cloud Run lets you deploy containerized applications without worrying about server management. You only pay when your code is actively running, making it a cost-effective option.
  2. Using Pulumi as an Infrastructure as Code tool simplifies the process of setting up and managing cloud resources. It allows you to deploy applications by writing code instead of manually configuring settings.
  3. Automating your deployment with Cloud Build ensures your app updates easily whenever you make code changes. This saves time and effort compared to manually deploying each time.

Release Management

Software Engineering Tidbits • 255 implied HN points • 26 Apr 23
🕹 Technology Software Engineering Deployment CI/CD
  1. Ensure all necessary steps are taken before landing a pull request to the main branch, such as passing all tests and code reviews.
  2. Deploy new software versions gradually to production, starting with a small number of machines first.
  3. Consider implementing CI/CD for continuous deployment to improve observability, but balance it with on-demand deployments to ensure all changes are attended to.

A detailed guide to running dbt Core in Production in AWS on ECS

The Orchestra Data Leadership Newsletter • 79 implied HN points • 28 Mar 24
🕹 Technology Cloud Computing Data Engineering AWS CI/CD Orchestration
  1. A detailed guide to running dbt Core in production in AWS on ECS is outlined, focusing on achieving cost-effective and reliable execution.
  2. Running dbt in production is not highly compute-intensive, as it primarily serves as an orchestrator, making it more cost-efficient compared to running Python code that utilizes compute resources.
  3. By setting up dbt Core on ECS in AWS and using Orchestra, you can achieve a scalable, cost-effective solution for self-hosting dbt Core with full visibility and control.

My Love, Hate Relationship.

Data Engineering Central • 137 implied HN points • 24 Jul 23
🕹 Technology Data Engineering AWS Serverless DevOps CI/CD
  1. Data Engineers may have a love-hate relationship with AWS Lambdas due to their versatility but occasional limitations.
  2. AWS Lambdas are under-utilized in Data Engineering but offer benefits like cheap solutions, ease of use, and driving better practices.
  3. AWS Lambdas are handy for processing small datasets, running data quality checks, and executing quick logic while reducing architecture complexity and cost.

GitLab CI/CD vs. GitHub Actions: A Comprehensive Comparison

realkinetic • 3 HN points • 09 Jul 24
🕹 Technology CI/CD Debugging Configuration Organization
  1. CI/CD is crucial for software projects, impacting features deployment, issue resolution speed, team iteration, and developer experience. GitLab CI/CD and GitHub Actions are popular choices for managing these workflows.
  2. GitLab offers robust code reuse options through hidden jobs, anchors, references, and includes, allowing for easy structuring and maintenance of CI pipelines across repositories.
  3. When it comes to pipeline debugging, GitLab provides a superior toolset with a Pipeline Editor for linting, validating, and selecting pipeline versions, while GitHub Actions lacks built-in editing capabilities.
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Why Snowflake’s Clone command changes the game for CI/CD in Data

The Orchestra Data Leadership Newsletter • 19 implied HN points • 26 Oct 23
🕹 Technology DataOps CI/CD Data Engineering Data Quality
  1. The Snowflake Clone command allows for cheap and quick testing of data during Continuous Integration flows, showing significant cost and time improvement compared to traditional create table commands.
  2. Continuous Deployment can be facilitated through Snowflake clones, as they are relatively inexpensive, removing cost barriers for Data Teams in implementing effective CD processes.
  3. The Clone command, available since at least 2016, is invaluable for Data Teams as it enables CI/CD pipelines, essential for deploying data into production reliably and efficiently via a data release pipeline.

CI / CD for Data Engineering (Python)

The Orchestra Data Leadership Newsletter • 19 implied HN points • 22 Oct 23
🕹 Technology Data Engineering CI/CD Python DevOps Unit Testing
  1. Understanding basic CI / CD for Python code in a Data Engineering context is crucial for Data Engineering Leaders.
  2. For unit tests, use pytest to ensure functions work correctly, and for integration tests, test connections to third-party APIs.
  3. Implementing CI / CD involves writing code, testing and linting locally, and then deploying to a merge environment to ensure code compatibility.

Real-time magic, no elixirs: optimizing Sera with AnyCable

AnyCable Broadcasts • 0 implied HN points • 01 Mar 23
🕹 Technology Infrastructure Monitoring Testing Deployment CI/CD
  1. The project successfully migrated a critical GPS tracking service from Elixir to AnyCable, enabling real-time features and smoother maintenance.
  2. The team optimized the infrastructure using AWS ECS, Fargate, and CloudFormation, delivering improvements in performance, scalability, and resource management.
  3. AnyCable deployment was streamlined within the project's infrastructure, bringing in monitoring features and helping speed up the CI/CD pipeline.

How to Automate Dataflow Flex-Template Deployments with GitLab CI/CD

realkinetic • 0 implied HN points • 23 Feb 24
🕹 Technology Data Engineering CI/CD Google Cloud Docker Automation
  1. Approach data engineering like software products, applying software engineering SDLC principles can help automate Google Cloud Dataflow with GitLab CI/CD pipelines.
  2. A Dataflow flex-template consists of a Dockerfile and a template specification JSON file, offering advantages like separating implementation from deployment and enabling different teams to work on the pipeline.
  3. Using GitLab's CI/CD for deploying Dataflow flex-templates is beneficial due to its intuitive UI, CI Linting feature, out-of-the-box security, and environment integration tools.

Continuous Deployment for AWS Glue

realkinetic • 0 implied HN points • 15 Oct 20
🕹 Technology CI/CD ETL
  1. AWS Glue is a managed service for building ETL jobs on AWS, eliminating the need to manage server infrastructure and making it easy to implement analytics pipelines.
  2. Automating the deployment process of Glue jobs with a CI/CD pipeline, using tools like GitHub Actions, can streamline the workflow and ensure continuous deployment of ETL processes.
  3. Using GitHub Actions, you can convert Jupyter notebooks to Python scripts, upload them to S3, update Glue jobs, and configure AWS CLI for deployment, making the process efficient and scalable.

Security by Happenstance

realkinetic • 0 implied HN points • 26 Mar 19
🕹 Technology Security Auditing CI/CD
  1. Regular password changes may not necessarily improve security and can lead to weaker password choices.
  2. Relying on username/password credentials for system access is a security risk, and using keys in their place is more secure.
  3. Implementing tightly scoped service accounts, limited-privilege credentials, and continuous auditing can enhance security and mitigate risks in IT systems.

Github Action for Unit Testing

Better Engineers • 0 implied HN points • 06 Sep 20
🕹 Technology Software Development Automation Testing CI/CD
  1. GitHub Actions help automate tasks like building, testing, and deploying code. It's a great way to make your workflow easier and more efficient.
  2. Unit testing is important because it checks if individual parts of your code work correctly. Running these tests can help catch bugs early, saving time later on.
  3. You can set up GitHub Actions to prevent merging code if the unit tests fail. This ensures that only tested and working code makes it into your main project.

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.

Building Docker Image Faster

DevCube • 0 implied HN points • 10 Apr 23
🕹 Technology Development Docker CI/CD
  1. Building docker images can be time-consuming, especially in CI/CD pipelines.
  2. To speed up the process, consider using cache, layering your Dockerfile, and utilizing multi-stage builds.
  3. Ensure your Dockerfile is correctly set up, specifying versions, exposing necessary ports, and addressing platform compatibility.

Running DroneCI

Certo Modo • 0 implied HN points • 30 Oct 23
🕹 Technology CI/CD Continuous Integration CLI Software Engineering
  1. Drone CI is a self-service Continuous Integration platform that simplifies CI pipeline configuration by using a .drone.yml file in the project's root directory.
  2. Make sure the Drone service is public-facing with port 443 accessible, and use a read-through cache with Docker to ensure resilience to Docker Hub outages.
  3. Add yourself as an administrator to new Drone installations to have full access to API features, set up cron interval as needed, and utilize the CLI tool for more advanced capabilities.

It's Time to Stop Using Jenkins

Certo Modo • 0 implied HN points • 19 Sep 23
🕹 Technology CI/CD Automation Security Alternatives
  1. Consider alternatives to Jenkins for new software projects due to limitations in plugin complexity.
  2. Evaluate your R&D department's expertise and resources to manage Jenkins installation and perform updates.
  3. Assess the security risks and maintenance requirements of Jenkins installations to prevent potential breaches.