Tag: computer science

SDK vs. API: Understanding the Differences and Choosing the Right Tool

Jayesh Tanna Leave a comment

Recently, I joined the Python SDK team, which has given me a unique perspective on the world of SDKs. Having previously worked extensively on backend APIs and distributed systems, I’ve gained hands-on experience with both APIs and SDKs. This dual exposure has helped me appreciate the nuances and trade-offs between these two essential components of modern software architecture. In this blog, I’ll share a detailed comparison between SDKs and APIs, explaining what each is, when to use them, and the advantages and disadvantages of both.

In today’s software development landscape, APIs (Application Programming Interfaces) and SDKs (Software Development Kits) play a pivotal role in building powerful, scalable, and efficient applications. While both terms are commonly used in developer conversations, they are fundamentally different in purpose, functionality, and use cases. This blog will break down what SDKs and APIs are, when to use each, and explore their respective advantages and disadvantages in greater depth.

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Latency metrics

Jayesh Tanna Leave a comment

Latency measures are crucial for checking how well your apps and services perform. Latency means the total time it takes for a piece of data to go from where it starts to where it ends up, usually on a network. When we talk about latency, we’re mostly talking about how fast things move in a network. It’s one of the main things we look at to see if a service is good or not. We usually measure it in milliseconds. The lower the latency, the better the user’s experience.

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Caching

Jayesh Tanna Leave a comment

Introduction

Caches take advantage of the locality of reference principle: recently requested data is likely to be requested again. A cache is like short-term memory: it has a limited amount of space, but is typically faster than the original data source and contains the most recently accessed items. Caches can exist at all levels in architecture, but are often found at the level nearest to the front end where they are implemented to return data quickly without taxing downstream levels.

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