Tarek Khaled’s Post

🚀 Understanding Semantic Messages in Apache Kafka 📊 Apache Kafka is the backbone of many real-time systems, but the real magic lies in how semantic messages enable clear, reliable communication across applications. From processing e-commerce orders to streaming IoT sensor data or tracking financial transactions, Kafka ensures each message has a purpose and drives business value. 👉 Dive deeper into how Kafka powers real-world use cases like GPS tracking, gaming, and healthcare in my latest blog. Let's explore how meaningful messaging transforms systems! 🌐 #ApacheKafka #EventStreaming #RealTimeData #BigData #SoftwareEngineering #IoT #TechInsights #DataEngineering #Microservices #CloudComputing #DistributedSystems #StreamProcessing #Ecommerce #FinancialServices #DataAnalytics #AI #MachineLearning #SoftwareArchitecture #Innovation #DataStreaming #EventDrivenArchitecture #Scalability #CloudNative #DevOps #APIDesign #Technology #SmartSystems #EdgeComputing #DigitalTransformation #ModernInfrastructure #AgileDevelopment #DataScience #KafkaStreams #SoftwareSolutions #EnterpriseArchitecture #ITInfrastructure #TechLeadership

If you are using MQTT or focused on IOT use cases check this out!

"#MQTT and #ApacheKafka: A Match Made in Heaven" => Success stories exist from many companies, like BMW, Porsche, ZF, and more... Apache Kafka and MQTT are a perfect combination for many #IoT use cases. In the below talk, I look at the pros and cons of both technologies, and how they are complementary. Various real-world case studies across industries are discussed, including connected vehicles, manufacturing, mobility services, and smart city. The examples use different architectures and best practices for lightweight edge scenarios, hybrid integrations, or serverless cloud solutions. https://lnkd.in/eS-Av-t6

"#MQTT and #ApacheKafka: A Match Made in Heaven" => Success stories exist from many companies, like BMW, Porsche, ZF, and more... Apache Kafka and MQTT are a perfect combination for many #IoT use cases. In the below talk, I look at the pros and cons of both technologies, and how they are complementary. Various real-world case studies across industries are discussed, including connected vehicles, manufacturing, mobility services, and smart city. The examples use different architectures and best practices for lightweight edge scenarios, hybrid integrations, or serverless cloud solutions. https://lnkd.in/eS-Av-t6

In this blog, I tired to explain the basics of Apache Kafka and how to use Apache Kafka in Node.js. A small tool to send weekly digest based on user activity. As this is a simple explanation, the possibilities are immense, one can use Kafka to handle much more than this. Kafka has become a fundamental component in building modern data-driven applications, powering use cases ranging from real-time analytics, log aggregation, and event sourcing to Internet of Things (IoT) data processing and beyond. I Hope you may find it helpful! #nodejs #kafka #apacheKafka #dataEngineering #nodemailer #mongodb #cronjobs #emailmarketing #microservices

🚀 Understanding Apache Kafka: A Game-Changer in Real-Time Data Streaming 🌀 Apache Kafka has revolutionized how organizations process and handle real-time data streams. Originally developed at LinkedIn, this distributed event-streaming platform has become the backbone for modern data-driven enterprises. 🌐 🔍 Key Takeaways: What is Kafka? A robust messaging system optimized for streaming high-throughput data in real-time. Core Concepts: Topics, partitions, producers, consumers, brokers, and offsets. Kafka Features: Scalability, fault tolerance, high throughput, and real-time stream processing. Use Cases: Real-time data pipelines, log aggregation, IoT, and event streaming. Challenges: Complex configurations and learning curves, but the benefits far outweigh them! 💡 Whether you're building real-time analytics, processing IoT data, or centralizing logs, Kafka has the scalability and flexibility to power your data infrastructure. 👉 Read the full article here for an in-depth exploration: https://lnkd.in/gCG9qHyP Follow Anand Mohan ☁️ for more #ApacheKafka #RealTimeData #EventStreaming #DataEngineering #DevOps

Kai provides a great explanation about when to use MQTT/UNS with Confluent/Kafka. My takeaway: Having the current state of the business in UNS hierarchy of topics is not enough. Many use cases require integration with context and transaction data from non-IoT/OT systems. Also having an event store with automatic tiered storage enables you to bring in relevant historical data. All of this context is essential for Real-Time AI data stream processing. #uns #mqtt #ai #eventstreaming

The latest update for #InfluxDB includes "Apache DataFusion is Now the Fastest Single Node Engine for Querying Apache Parquet Files" and "Data Pipelining with InfluxDB". #monitoring #devops #timeseries https://lnkd.in/dchWaMp

The latest update for #Honeycombio includes "#OpenTelemetry Best Practices #3: Data Prep and Cleansing" and "Investigating Mysterious Kafka Broker I/O When Using Confluent Tiered Storage". #observability #monitoring https://lnkd.in/dBXCgkP

🚀 Explore the latest #EMQDevNewsletter, Weekly EP38 📰 Discover the transformative potential of blending #MQTT and #Kafka in your #IoT architecture. 💡 Learn about the benefits, explore use cases, and get a quick guide to kick-start your integration journey. 🔄 Dive into a comparison of viable MQTT-Kafka integration solutions and uncover how to effortlessly build connected vehicle streaming data pipelines with MQTT and Kafka in just 3 minutes! 📖 Plus, don't miss our insightful whitepapers covering #MQTT and #Kafka, #connectedcars, MQTT over #QUIC, and the Open Manufacturing Hub for #IIoT.