How to handle SIGTERM in Cloud Run without losing work
Handle SIGTERM in Cloud Run without losing work: stop new tasks, persist state outside the container, and test the worker before 10 seconds run out in CI.
Accepting new clients
You run the business.
I handle the software.
I'm Samuel Fajreldines, a senior software engineer. Growing U.S. businesses hire my team to become their software department, not a vendor they rehire every quarter. I set the technical direction, my team builds and ships, and I stay accountable for everything that goes out.
- From $5,000/month
- Ongoing, not a project
- My team handles delivery
DevOps & Cloud
14 articles · practical guides & tutorials by Samuel Fajreldines
In-depth DevOps & Cloud articles, hands-on guides and tutorials by Samuel Fajreldines — 14 expert posts on DevOps & Cloud for software engineers.
Articles in DevOps & Cloud
Cloud Run Jobs: how to avoid duplicate output on retries
Cloud Run Jobs can retry each task up to 3 times. Learn to save checkpoints, make output idempotent, and verify reruns before production safely.
Long-running AI agents on Cloud Run: service or worker pool?
Compare Cloud Run Service, Job, and worker pool for long-running AI agents. See state, queues, IAM, deployment, and verification.
Why You Should Always Specify Version Numbers in Docker and Package Managers
Learn why specifying version numbers in Docker and package managers can make or break your project's reliability, security, and scalability.
Mastering Multi-Cloud with Terraform: Deploying Infrastructure on Google Cloud and AWS
Discover how to harness Terraform for seamless infrastructure management across Google Cloud and AWS, unlocking multi-cloud advantages, scaling opportunities,…
GitLab CI for Node.js: A Guide to Continuous Integration
Learn how to implement Continuous Integration using GitLab CI in your Node.js projects. This comprehensive guide covers everything from the basics to advanced…
Serverless Data Processing Pipelines with Google Cloud Run
Learn how to build scalable, cost-effective serverless data processing pipelines using Google Cloud Run.
Implementing CI/CD Pipelines with Docker and AWS
Discover how to set up a robust CI/CD pipeline using Docker and AWS services to accelerate software delivery and improve reliability.
Building Resilient Microservices with AWS and Docker
Learn how to design and deploy resilient microservices using AWS and Docker to achieve scalability and high availability in modern applications.
The Future of Serverless: Trends to Watch in 2025
Explore the emerging trends in serverless computing for 2025 and how they are set to revolutionize the software engineering landscape.
Understanding Health Checks: What They Are, How to Use Them, and the Best Tools in Google Cloud and AWS
Discover the importance of health checks in cloud computing, how to implement them, and explore the best tools available in Google Cloud and AWS for optimal…
Optimizing Data Transfer Costs with Multiple Containers in Google Cloud Run
Discover how Google Cloud Run's support for multiple containers can reduce internet data transfer billing and enhance application efficiency using Node.js and…
Getting Started with Google Cloud Run: A Comprehensive Guide
Learn how to deploy and manage containerized applications with Google Cloud Run, a serverless platform that simplifies your development workflow.
Harnessing the Power of Serverless Architecture with Node.js on AWS
Discover how to leverage Serverless Architecture using Node.js and AWS Lambda to build scalable and efficient applications.