Building Production ML Systems: MLOps Best Practices
Introduction
Machine learning in production is vastly different from notebooks โฆ
Machine learning in production is vastly different from notebooks โฆ
Fine-tuning large language models on custom data can be โฆ
When building production LLM applications, developers face a โฆ
Vector databases are the backbone of modern AI applications. They โฆ
Rust is increasingly becoming the language of choice for building โฆ
Rust’s ownership system is what makes it possible to โฆ
Tokio is Rust’s de facto standard async runtime, enabling โฆ
Unsafe Rust allows you to disable certain safety checks when โฆ
AWS cost optimization is one of the most underutilized ways to โฆ
Serverless is marketed as “pay-per-execution,” but many โฆ
Containerization (Docker) and orchestration (Kubernetes) are โฆ
Spot Instances are AWS’s ultra-discounted compute offering: โฆ
Privacy concerns in machine learning have become paramount as โฆ
Data science remains one of the most in-demand careers in tech. โฆ
Natural Language Processing (NLP) enables computers to understand, โฆ
Time series data is everywhereโfrom stock prices to sensor readings โฆ
Cloud security requires โฆ
Zero Trust replaces implicit trust โฆ
JWT is only one โฆ
The future of computing is distributed, and edge computing has โฆ
The cloud computing landscape has evolved dramatically. โฆ
APIs are the backbone of modern applications, enabling โฆ
Compute resources represent a significant portion of cloud spending โฆ
WebSockets enable bi-directional, real-time communication between โฆ
Node.js is ideal for building RESTful APIs. Its event-driven, โฆ
APIs are the connective tissue of modern software. From mobile apps โฆ
Building an AI API is different from traditional APIs. You deal โฆ
The era of cloud-dependent mobile AI is ending. Modern smartphones โฆ
Users expect mobile apps to be instant, smooth, and efficient. In โฆ
Mobile app privacy and security have become critical concerns in โฆ
Mobile development offers multiple paths: native iOS, native โฆ
Certificate revocation is a critical component of PKI security. โฆ
Email remains one of the most critical communication channels for โฆ
AMQP (Advanced Message Queuing Protocol) is an open-standard โฆ
API gateways have become the cornerstone of modern microservices โฆ
While message passing is a great way to handle concurrency, there are times when you need multiple threads to access the same shared data. This is โฆ
In Rust, iterators are a powerful and efficient feature for processing a sequence of items. An iterator is responsible for the logic of iterating over โฆ
While Rust is not a strictly object-oriented language in the same way as Java or C++, it has features that allow developers to use object-oriented โฆ
Publishing a crate to crates.io allows you to share your Rust libraries with the broader community. crates.io is the official Rust package registry, โฆ
Smart pointers are data structures that act like pointers but also have additional metadata and capabilities. In Rust, they are a key feature of the โฆ
Rust’s borrowing rules are strict: you can have either multiple immutable references (&T) or one mutable reference (&mut T), but not โฆ
Rust’s ownership model, which ensures that every value has a single owner, is a powerful feature for memory safety. However, there are โฆ
Rust’s memory safety guarantees are a cornerstone of the language, but there are some edge cases where memory leaks can still occur. One of the โฆ
In Rust, all values are allocated on the stack by default. The stack is fast and efficient, but it requires that the size of every value be known at โฆ
Closures are anonymous functions you can save in a variable or pass as arguments to other functions. Unlike regular functions, closures can capture โฆ