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    Apache Kafka on Ubuntu Server 22.04 LTS

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    Deployed on AWS
    AWS Free Tier
    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.

    Overview

    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.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu Server 22.04 LTS

    Deployed on AWS
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    Pricing

    Apache Kafka on Ubuntu Server 22.04 LTS

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    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.

    Usage costs (443)

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    • ...
    Dimension
    Cost/hour
    t2.large
    Recommended
    $0.10
    t3.micro
    $0.006
    t2.micro
    $0.006
    d2.8xlarge
    $0.60
    t3a.small
    $0.01
    g5.8xlarge
    $0.60
    c6id.8xlarge
    $0.60
    c5d.4xlarge
    $0.30
    c6a.large
    $0.10
    i3en.3xlarge
    $0.20

    AI Insights

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    Dimensions summary

    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

    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.
    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.
    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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    Vendor terms and conditions

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    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    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

    Added latest version

    Additional details

    Usage instructions

    Connect to EC2 Linux instance - https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstances.html  ( Port - 22 and Username - ubuntu)

    Apache Kafka - Use the following steps:

    1. Kafka Server Port : 9092

    2. Please follow document - https://kafka.apache.org/documentation/#quickstart_startserver 

    3. 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

    4. 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

    5. 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

    6. 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

    Resources

    Vendor resources

    Support

    AWS infrastructure support

    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.

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