Immutability here means that once data is written into Git, it cannot be changed. Modifications only create new data versions. The old data remains unchanged.
/2 Immutable system designs are commonly used in systems that require high levels of auditability, such as financial systems and version control systems. Here's how it's used in Git design:
/3 🔹Users' local Git storage consists of three sections: working copy, staging area, and local repository.
🔹Working copies contain the files you are currently working on. The data is mutable, so you can do whatever you want with it
/4 🔹When you type "git add", your files will be added to the staging area. These files are now immutable. It is no longer possible to edit them
/5 🔹When you type "git commit", your staging files are added to the local repository. Local repository is a tree version of the append-only write-ahead log (WAL). They are both immutable: you can only append to the end of the data structure.
/6 🔹When you type "git push", your local repository data will be synced to the remote repository. As the remote repository uses the same data structure as your local repository, it is also immutable: you can only add data to it
/7 👉 Over to you: there are two ways to save the history of a file: either save every version of the file, or save every delta change to the file and reconstruct the file by aggregating all delta changes. Would you recommend Git using one over another, and why?
/8 Subscribe to our weekly free newsletter to learn something new every week: bit.ly/3FEGliw
Model Context Protocol (MCP) is a new system introduced by Anthropic to make AI models more powerful.
It is an open standard (also being run as an open-source project) that allows AI models (like Claude) to connect to databases, APIs, file systems, and other tools without needing custom code for each new integration.
MCP follows a client-server model with 3 key components:
1 - Host: AI applications like Claude that provide the environment for AI interactions so that different tools and data sources can be accessed. The host runs the MCP Client.
Kubernetes (K8S) is an open-source container orchestration platform originally developed by Google and now maintained by CNCF.
Here’s how developers interact with Kubernetes:
1 - Developers create manifest files describing the application.
2 - Kubernetes takes these manifest files, validates them, and deploys the applications across its cluster of worker nodes.
3 - Kubernetes manages the entire lifecycle of the application.
Kubernetes is made up of two main components:
1 - Control Plane: It is like the brain of Kubernetes and consists of the following parts:
- API Server: It receives all incoming requests from users or CLI.
1 - Collaboration Tools
Software development is a social activity. Learn to use collaboration tools like Jira, Confluence, Slack, MS Teams, Zoom, etc.
2 - Programming Languages
Pick and master one or two programming languages. Choose from options like Java, Python, JavaScript, C#, Go, etc.
3 - API Development
Learn the ins and outs of API Development approaches such as REST, GraphQL, and gRPC.
4 - Web Servers and Hosting
Know about web servers as well as cloud platforms like AWS, Azure, GCP, and Kubernetes
5 - Authentication and Testing
Learn how to secure your applications with authentication techniques such as JWTs, OAuth2, etc. Also, master testing techniques like TDD, E2E Testing, and Performance Testing
6 - Databases
Learn to work with relational (Postgres, MySQL, and SQLite) and non-relational databases (MongoDB, Cassandra, and Redis).
Twitter has enforced very strict rate limiting. Some people cannot even see their own tweets.
Rate limiting is a very important yet often overlooked topic. Let's use this opportunity to take a look at what it is and the most popular algorithms.
A thread.
#RateLimitExceeded
What is rate limiting? Rate limiting controls the rate at which users or services can access a resource. Here are some examples:
- A user can send a message no more than 2 per second
- One can create a maximum of 10 accounts per day from the same IP address
Fixed Window Counter
The algorithm divides the timeline into fixed-size time windows and assigns a counter for each window. Each request increments the counter by some value. Once the counter reaches the threshold, subsequent requests are blocked until the new time window begins