Since the introduction of KRaft, Kafka no longer requires Apache ZooKeeper® for managing cluster metadata. It uses Kafka itself instead. One advantage of the new KRaft mode is that you can have a single Kafka broker to handle both metadata and client requests in a small, local development environment. The docker-compose.yml file for this tutorial uses this approach, leading to faster startup times and simpler... - Source: dev.to / 16 days ago

Next, Kafka requires Zookeeper and a broker. Instead of installing them manually, we use Docker Compose with this YAML file. - Source: dev.to / 7 months ago

Zookeeper is a distributed coordination service used in older versions of Kafka to manage cluster metadata, leader election, and configuration. It ensures consistency and synchronization across Kafka brokers. - Source: dev.to / over 1 year ago

Using a service discovery mechanism: A service discovery mechanism, such as etcd or ZooKeeper, can help to manage the complexity of microservices by providing a centralized registry of available services and their instances. - Source: dev.to / almost 2 years ago

Apache ZooKeeper: A centralized service to generate unique IDs and prevent race conditions between instances. - Source: dev.to / almost 2 years ago

This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0 which have invested both resources and time to solve this problem. - Source: dev.to / about 1 month ago

Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good memory tools also know how to supersede and delete memories, which matters once the agent has more autonomy. - Source: dev.to / 3 months ago

We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 4 months ago

My friends and I are working on https://supermemory.ai, an AI second brain to help you remember content from saved webpages and notes. - Source: Hacker News / about 2 years ago