Overview
Kafka
Apache Kafka Server on Ubuntu 24.04
This is a repackaged open source software product wherein additional charges apply for support & maintenance.
Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Servers: Kafka is run as a cluster of one or more servers that can span multiple datacenters or cloud regions. Some of these servers form the storage layer, called the brokers. Other servers run Kafka Connect to continuously import and export data as event streams to integrate Kafka with your existing systems such as relational databases as well as other Kafka clusters. A Kafka cluster is highly scalable and fault-tolerant.
Clients: They allow you to write distributed applications and microservices that read, write, and process streams of events in parallel, at scale, and in a fault-tolerant manner even in the case of network problems or VM failures. Kafka ships with some such clients included, which are augmented by dozens of clients provided by the Kafka community: clients are available for Java and Scala including the higher-level Kafka Streams library, for Go, Python, C/C++, and more as well as REST APIs.
Apache Kafka Features
- Scalability: Handles scalability in all four dimensions, i.e. event producers, event processors, event consumers and event connectors. In other words, Kafka scales easily without downtime
- High-Volume: Can work with huge volumes of data streams across distributed AWS infrastructure
- Data Transformations: Kafka offers provision for deriving new data streams using the data streams from producers
- Fault Tolerance: The Kafka cluster can handle failures with the masters and databases across AWS availability zones
- Reliability: Distributed, partitioned, replicated and fault tolerant architecture
- Durability: Persistent message storage with configurable retention policies for guaranteed data persistence
- Performance: For both publishing and subscribing messages, Kafka has high throughput. Even if many TB of messages is stored, it maintains stable performance
- Zero Downtime: Very fast and guarantees zero downtime and zero data loss with proper configuration
- Extensibility: There are many ways by which applications can plug in and make use of Kafka. In addition, offers ways to write new connectors as needed
- Replication: By using ingest pipelines, it can replicate the events across multiple brokers and availability zones
- Stream Processing: Built-in stream processing capabilities with Kafka Streams for real-time data processing
- Multi-Protocol Support: Supports multiple protocols and client libraries for diverse application integration
Why Choose Our Apache Kafka AWS Image?
- Instant Deployment: Launch and start streaming data immediately - no installation required
- Ubuntu 24.04 LTS: Latest long-term support with enhanced security and performance
- AWS Optimized: Pre-tuned for optimal performance on AWS EC2 instances
- Security Hardened: Following AWS security best practices and Kafka security guidelines
- Production Ready: Pre-configured with best practices for scalable event streaming operations
Perfect Use Cases for Our Apache Kafka Image
- Real-time Analytics: Process and analyze streaming data in real-time for business insights
- Event-Driven Architecture: Build event-driven microservices and distributed systems
- Data Integration: Connect and integrate data from multiple sources and systems
- Log Aggregation: Centralize and process application logs from distributed systems
- IoT Data Streaming: Handle high-volume IoT sensor data and device telemetry
- Financial Trading: Process high-frequency trading data and financial market feeds
Why Deploy Our Apache Kafka Image?
Our professionally configured Apache Kafka image eliminates setup time and provides a production-ready event streaming environment on AWS. You get enterprise-grade data streaming capabilities with AWS optimization.
Disclaimer: KAFKA is a registered trademark of The Apache Software Foundation and is licensed under Apache License 2.0. Cloud Infrastructure Services has no affiliation with and is not endorsed by The Apache Software Foundation. This image is professionally maintained by Cloud Infrastructure Services. No warranty of any kind, express or implied, is included with this software.
Highlights
- Servers: - Kafka is run as a cluster of one or more servers that can span multiple datacenters or cloud regions. Some of these servers form the storage layer, called the brokers. Other servers run Kafka Connect to continuously import and export data as event streams to integrate Kafka with your existing systems such as relational databases as well as other Kafka clusters. A Kafka cluster is highly scalable and fault-tolerant.
- Clients: - They allow you to write distributed applications and microservices that read, write, and process streams of events in parallel, at scale, and in a fault-tolerant manner even in the case of network problems or VM failures. Kafka ships with some such clients included, which are augmented by dozens of clients provided by the Kafka community: clients are available for Java and Scala including the higher-level Kafka Streams library, for Go, Python, C/C++, and more as well as REST APIs
- High-performance Distributed Event Streaming Scalable Platform on AWS. Highly scalable solution.
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| Dimension | Cost/hour | 
|---|---|
| t2.medium  Recommended | $0.037 | 
| t3.micro AWS Free Tier | $0.037 | 
| t2.micro AWS Free Tier | $0.037 | 
| t2.2xlarge | $0.037 | 
| c5n.4xlarge | $0.037 | 
| x1e.xlarge | $0.037 | 
| r5a.2xlarge | $0.037 | 
| d3en.8xlarge | $0.037 | 
| r5dn.12xlarge | $0.037 | 
| z1d.12xlarge | $0.037 | 
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64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
New OS package updates have been installed. Simply run 'sudo apt-get update' to install latest OS updates.
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Scroll down to 'Getting Started' on the following URL: https://cloudinfrastructureservices.co.uk/how-to-setup-apache-kafka-server-on-azure-aws-gcp/Â
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Email support, contact us through our website or leave a comment on our getting started guide. Disclaimer: KAFKA is a registered trademark of The Apache Software Foundation and has been licensed for use by Cloud Infrastructure Services. Cloud Infrastructure Services has no affiliation with and is not endorsed by The Apache Software Foundation.
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