29 articles
Why is your server slow? Master the methodology of performance troubleshooting. Learn to distinguish between CPU-Bound, RAM-Bound, and I/O-Bound issues. Understand the 'Load Average' and learn where to look when the system starts to crawl.
Don't make the 'Rookie Mistakes'. Learn how to avoid over-reliance, lazy prompting, and generic outputs.
What to do when the AI gets it wrong. Advanced troubleshooting for prompt logic and output quality.
Mastering the art of troubleshooting. How to use ChatGPT to fix bugs and perform expert code reviews.
Work smarter, not harder. How to streamline your AI interactions to get the best results with the least amount of effort.
What happens when 'cheap tokens' add up to massive enterprise costs. Learn how to build an Inference Router to dynamically switch between cloud and local models.
Smaller is more vulnerable. Learn how technical optimizations like Quantization and Pruning can accidentally introduce new security vulnerabilities and 'Backdoors' into AI models.
How to craft the perfect attack. Understand the difference between having the model's 'Code' (White-Box) and only having its 'Answers' (Black-Box).
Is your app slow or is it Docker? Learn how to monitor CPU, RAM, and I/O performance of your containers using the built-in 'stats' command and external tools.
Build faster, not harder. Understand how Docker uses caching to skip unnecessary steps and learn how to order your Dockerfile instructions for maximum speed.
Build production-grade images. Learn how to minimize image size, enhance security, and ensure maintainability in your Docker configurations.
Shrink your images by 90%. Learn the multi-stage build pattern to separate your 'Build Environment' (compilers, tools) from your 'Runtime Environment' (app only).
Master the build cache. Learn how to structure your Dockerfile instructions to minimize 'Cache Invalidation' and keep your build times under 5 seconds.
Protect your secrets and speed up your builds. Learn how to use .dockerignore to keep sensitive and unnecessary files out of your Docker images.
Stop waiting for 'npm install'. Learn the difference between Artifacts and Caching, and how to use Cache to speed up your pipeline by 500%.
Handle the scale. Learn how to optimize GitLab CI/CD for environments with hundreds of runners, thousands of developers, and massive data throughput.
Faster, Safer, Better. Learn how to use Google's Kaniko to build container images without root privileges or a Docker daemon, solving the performance issues of DinD.
Protecting the Wallet. How to track token usage and set up alerts to prevent unexpected AWS bills from your GenAI apps.
Saving Money by Design. How to optimize your prompts to use fewer tokens and reduce your AWS bill.
Save time, save money. Using GPTCache to avoid calling the expensive LLM for identical (or similar) queries.
Protecting your wallet. Setting limits on iterations, time, and tokens in LangChain agent executors.
Setting boundaries. How to implement hard limits on cycles and token usage within your agent graphs.
The math behind LLM files. Understanding how many GBs you need to store and run your favorite models.
Talking to the machine. Why prompting a local 8B model requires a different approach than ChatGPT.
Compressing intelligence. How we fit 100GB models into 5GB files without making them stupid.
Squeezing every drop of performance. How to force Ollama to use the GPU and manage shared memory.
Stability over scope. Why lowering your context window can actually make your AI feel faster and more stable.
Optimization for 8B. Why 'Chain of Thought' is the secret weapon for making small models act like giants.
Precision generation. Techniques to limit the model's verbosity and ensure it stays within character limits.