This product has charges associated with it for seller support. Pre-configured Apache Kafka on Ubuntu 22.04 LTS. Launch a ready-to-run distributed event streaming platform on AWS.
Apache Kafka is an open-source distributed event streaming platform that
provides a unified, high-throughput, low-latency solution for handling
real-time data feeds. Kafka serves as a distributed event store and
stream-processing platform, enabling organizations to build reliable data
pipelines and event-driven architectures.
All functionality is delivered in a distributed, highly scalable, elastic,
fault-tolerant, and secure manner using a binary TCP-based protocol
optimized for efficiency.
Common Use Cases for Event Streaming
Financial Services - Process payments and financial
transactions in real-time for stock exchanges, banks, and insurance
companies
Logistics and Fleet Management - Track and monitor
vehicles, fleets, and shipments in real-time
IoT and Manufacturing - Continuously capture and analyze
sensor data from IoT devices and industrial equipment
Retail and E-Commerce - Collect and immediately react to
customer interactions and orders
Healthcare - Monitor patients and predict condition
changes to ensure timely treatment
Enterprise Data Integration - Connect, store, and unify
data produced by different divisions of a company
Microservices Architecture - Serve as the foundation for
event-driven architectures and distributed microservices
Key Kafka Components
Kafka Brokers - Servers forming the storage layer that run
as a cluster, providing fault tolerance and high availability through
data replication across multiple brokers
Kafka Connect - A framework for building reusable data
import/export connectors that integrate Kafka with external systems such
as relational databases, with hundreds of ready-to-use connectors
available from the community
Kafka Streams - A client library for building stream
processing applications and microservices with higher-level functions
including transformations, aggregations, joins, and windowing
Producer and Consumer APIs - Core APIs for Java and Scala
that allow distributed applications to read, write, and process event
streams in parallel and at scale
Admin API - Tools to manage and inspect topics, brokers,
and other Kafka objects
Disclaimer: This AMI contains free and
open-source software. All software and trademarks used in this AMI are the exclusive property of their respective owners.
AskforCloud LLC does not offer commercial licenses of the product mentioned
above.
Apache Kafka, Kafka, and the Kafka logo are either registered
trademarks or trademarks of The Apache Software Foundation in the United
States and other countries. The software is licensed under the Apache
License 2.0.
Highlights
Askforcloud LLC simplifies cloud adoption with ready-to-deploy AMIs built for speed, security, and performance. Empower your workloads with scalable, reliable, and efficient cloud solutions designed for seamless deployment.
Pre-Installed Apache Kafka on Ubuntu 22.04 LTS - This AMI comes with Apache Kafka pre-installed on Ubuntu Server 22.04 LTS, so you can skip manual installation and dependency management. Launch an EC2 instance and begin configuring your distributed event streaming environment without compiling from source or troubleshooting package conflicts. The image is built to reduce the operational overhead of getting Kafka running on AWS infrastructure.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
You pay by the hour for a preconfigured Kafka machine image running on Ubuntu Server 22.04, with vendor support included. Pricing is usage-based, so you are charged only for the hours each instance runs. Each dimension maps to a specific AWS EC2 instance type, priced per hour. The many options let you match the compute, memory, storage, or GPU profile you need. Larger or specialized instance types carry higher hourly rates than smaller general-purpose ones. You can start, stop, and scale instances as your streaming workload requires, without any upfront commitment.
Top-of-mind questions for buyers
What do I actually get for the hourly rate on each instance type?
You get a preconfigured Kafka image on Ubuntu Server 22.04 running on one AWS EC2 instance of the chosen type, plus vendor support. The instance type sets your compute, memory, storage, and any GPU. You pay per hour that instance runs.
Am I charged the hourly software fee when an instance is stopped?
The software fee meters running hours only. A stopped instance does not accrue the hourly software charge. You may still pay underlying AWS storage costs for attached volumes while the instance is stopped, billed separately by AWS.
Does my bill change if I switch to a larger instance type?
Yes. Each instance type carries its own hourly rate. Switching to a type with more compute, memory, storage, or GPU changes the hourly rate you pay. You are billed at the rate of whichever type is running, for the hours it runs.
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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.
Start Kafka Environment: Run the following commands in order to start all services in the correct order -
sudo systemctl start zookeeper
sudo systemctl start kafka
Create a Topic in Kafka by running command -
cd /usr/local/kafka
bin/kafka-topics.sh --create --topic quickstart-events --bootstrap-server localhost:9092
bin/kafka-topics.sh --describe --topic quickstart-events --bootstrap-server localhost:9092
Write events into Topic - Run the console producer client to write a few events into your topic:
bin/kafka-console-producer.sh --topic quickstart-events --bootstrap-server localhost:9092
Read the events - run the console consumer client to read the events created:
bin/kafka-console-consumer.sh --topic quickstart-events --from-beginning --bootstrap-server localhost:9092
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
This product has charges associated with it, which includes support from Cloud Infrastructure Services. Apache Kafka Server is a High-performance Distributed Event Streaming Scalable Platform on AWS
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