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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Database sharding

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Data partitioning, or sharding, involves dividing a large database into smaller pieces. This helps improve how the database is managed, its performance, availability, and how the application distributes its workload. The idea behind sharding is that once a database reaches a certain size, it’s more efficient and cost-effective to add more machines horizontally (meaning, adding more machines) than to invest in bigger, more powerful servers vertically. In nutshell, it is the process of splitting up a DB/table across multiple machines.

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Latency metrics

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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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Kubernetes Resource Quota and LimitRange

Jayesh Tanna Leave a comment

Kubernetes allows you to manage your application in numerous ways. Consider that your users spread across multiple teams, or projects, at that time we can start thinking about using namespaces within Kubernetes cluster. In Kubernetes, namespaces provide a mechanism for isolating groups of resources within a single cluster. Namespaces are way to divide cluster resources in groups for multiple users (via resource-quota). Each namespace will have one or multiple containers running inside it.

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