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 / 4 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 / over 1 year ago

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

Temporal makes durable workflows, activities, retries, timers, failures, and long-running execution explicit. - Source: dev.to / about 23 hours ago

When a team moves from a monolith into microservices and event-driven, asynchronous systems, it inherits a class of problems that used to be someone else's: work that fails halfway through, steps that must not run twice, calls that return before the work is done. Temporal is a durable execution engine that handles a lot of this - you define a multi-step process, and it guarantees the process runs to completion... - Source: dev.to / 29 days ago

Durable execution — the pattern implemented by Temporal, Inngest, Rivet Actors, and now Cloudflare Workflows — treats waiting as a continuation rather than a loop:. - Source: dev.to / about 1 month ago

Two specific moves stand out in Duncan's account. The first is durable execution, via Temporal — Mercury replaced fragile cron-and-database state machines with workflow code whose failure semantics are platform-handled (replay, retry, timeout, cancellation). Mercury open-sourced its hs-temporal-sdk, which wraps Temporal's official Rust Core SDK via FFI and provides a Haskell-native API. The dovetail with Haskell's... - Source: dev.to / 2 months ago

We picked Temporal as the first reference engine on purpose. Temporal has the strictest execution model we know of – a V8 sandbox, determinism constraints, replay-driven recovery. If our port contract holds up against that, easier engines – an in-memory test double, a BullMQ queue, or JSON-first platforms like Inngest or Restate – plug in through the same two interfaces. We're shipping Temporal first; the rest is... - Source: dev.to / 3 months ago