
Apache Kafka
StatCounter
Histats
AFSAnalytics
Woopra
KISSmetrics
Clicky
Open Web Analytics
Microsoft SQL Server
MongoDB
PostgreSQL
CouchBase
MariaDB
Redis
SQLite
Firebird
Microsoft SQL ServerBased on our record, Apache Kafka seems to be a lot more popular than Microsoft SQL Server. While we know about 156 links to Apache Kafka, we've tracked only 6 mentions of Microsoft SQL Server. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Event Brokers: They sit between producers and consumers, decoupling them so neither needs a direct connection to the other. Brokers receive event messages, maintain their chronological order, make them available for consumption, and route them to the right consumers. Apache Kafka is an example of an event broker, and it's the one we'll use throughout this guide. - Source: dev.to / 14 days ago
Kafka is a distributed streaming platform used to build real-time data pipelines and streaming applications. It allows producers to send messages to topics, which are then consumed by various consumers, making it ideal for event-driven architectures. - Source: dev.to / 3 months ago
Apache Kafka is the most widely used distributed event streaming platform and the standard transport layer for event-driven reconciliation architectures. - Source: dev.to / 4 months ago
For message-queue-based pipelines: RabbitMQ has native DLQ support through dead letter exchanges. Messages that exceed their retry count or their time-to-live are automatically routed to a designated DLQ exchange. Apache Kafka does not have native DLQ semantics, but the standard pattern is to write failed records to a dedicated topic (-dlq by convention) and include the failure metadata in the record headers. - Source: dev.to / 4 months ago
Upsert with timestamp tracking. Keep the upsert approach but track which time windows have been fully processed. On retry, skip windows that are marked complete and reprocess only windows that failed mid-run. The Kafka documentation covers offset management patterns that implement this for stream-based pipelines. - Source: dev.to / 4 months ago
Imagine your Angular application, currently confined to your development environment, becoming instantly accessible to users across the globe with Azure. - Source: dev.to / 11 months ago
Azure is the #2 overall Cloud provider and, as expected, it's the best choice for most Microsoft/Windows-based solutions. That said, it does offer many types of Linux VMs, with quite similar abilities as AWS/GCP. - Source: dev.to / about 2 years ago
Amdocs has partnered with NVIDIA and Microsoft Azure to build custom Large Language Models (LLMs) for the $1.7 trillion global telecoms industry. Source: over 2 years ago
You can utilise various tools on the platform to significantly improve your IT performance. Due to its flexibility, even official recommendations for Azure might need to be clarified and easier to comprehend. Simply put, Azure (formerly Windows Azure) is Microsoft's cloud computing operating system. Source: about 3 years ago
This is not to say there aren't architects still working on premise in self managed environments, but if you're planning to join the forces, you probably want to have an idea of who are the 3 public cloud providers (AWS, Azure and GCP), and their offering and topology. - Source: dev.to / about 5 years ago
StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Histats - Start tracking your visitors in 1 minute!
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
AFSAnalytics - AFSAnalytics.
CouchBase - Document-Oriented NoSQL Database