1. Round robin
The client requests are sent to different service instances in sequential order. The services are usually required to be stateless.
/2 2. Sticky round-robin
This is an improvement of the round-robin algorithm. If Alice’s first request goes to service A, the following requests go to service A as well.
/3 3. Weighted round-robin
The admin can specify the weight for each service. The ones with a higher weight handle more requests than others.
4. Hash
This algorithm applies a hash function on the incoming requests’ IP or URL.
/4 🔹 Dynamic Algorithms 5. Least connections
A new request is sent to the service instance with the least concurrent connections.
6. Least response time
A new request is sent to the service instance with the fastest response time.
/5 👉 Over to you: We can use other attributes for hashing algorithms. For example, HTTP header, request type, client type, etc. What attributes have you used?
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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