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AWS Config VS Apache Kafka

Compare AWS Config VS Apache Kafka and see what are their differences

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Contents:
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  3. » Reviews
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AWS Config logo AWS Config

Cloud Monitoring

Apache Kafka logo Apache Kafka

Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
  • AWS Config Landing page
    Landing page //
    2023-05-03
  • Apache Kafka Landing page
    Landing page //
    2022-10-01

AWS Config features and specs

  • Continuous Monitoring
    AWS Config provides continuous monitoring of AWS resources, allowing users to track changes and ensure resources remain compliant with company policies and regulations.
  • Resource Inventory
    It maintains a comprehensive inventory of resources, providing detailed historical and current configuration information to help manage AWS resources effectively.
  • Security and Compliance
    AWS Config enables security and compliance auditing by recording and evaluating configurations against desired settings and standards, facilitating swift remediation of non-compliant resources.
  • Integration with AWS Services
    Easily integrates with other AWS services such as AWS Lambda, AWS CloudTrail, and AWS Identity and Access Management (IAM) to enhance monitoring, automation, and security.
  • Automated Evaluation
    AWS Config Rules can be used to automatically evaluate AWS resource configurations, ensuring they meet specific compliance requirements and taking corrective actions if needed.

Possible disadvantages of AWS Config

  • Cost
    AWS Config can become expensive as it records configuration changes and evaluates a large number of resources, especially in dynamic environments with many changes.
  • Complexity
    Setting up and managing AWS Config can be complex, requiring a good understanding of AWS services, IAM permissions, and compliance requirements.
  • Performance Impact
    In some cases, the continuous monitoring and recording of configuration changes might impact the performance of AWS environments, particularly in large-scale systems.
  • Limited to AWS Environment
    AWS Config is designed specifically for AWS resources and environments, which might limit its usability for organizations that rely on multi-cloud strategies or hybrid environments.

Apache Kafka features and specs

  • High Throughput
    Kafka is capable of handling thousands of messages per second due to its distributed architecture, making it suitable for applications that require high throughput.
  • Scalability
    Kafka can easily scale horizontally by adding more brokers to a cluster, making it highly scalable to serve increased loads.
  • Fault Tolerance
    Kafka has built-in replication, ensuring that data is replicated across multiple brokers, providing fault tolerance and high availability.
  • Durability
    Kafka ensures data durability by writing data to disk, which can be replicated to other nodes, ensuring data is not lost even if a broker fails.
  • Real-time Processing
    Kafka supports real-time data streaming, enabling applications to process and react to data as it arrives.
  • Decoupling of Systems
    Kafka acts as a buffer and decouples the production and consumption of messages, allowing independent scaling and management of producers and consumers.
  • Wide Ecosystem
    The Kafka ecosystem includes various tools and connectors such as Kafka Streams, Kafka Connect, and KSQL, which enrich the functionality of Kafka.
  • Strong Community Support
    Kafka has strong community support and extensive documentation, making it easier for developers to find help and resources.

Possible disadvantages of Apache Kafka

  • Complex Setup and Management
    Kafka's distributed nature can make initial setup and ongoing management complex, requiring expert knowledge and significant administrative effort.
  • Operational Overhead
    Running Kafka clusters involves additional operational overhead, including hardware provisioning, monitoring, tuning, and scaling.
  • Latency Sensitivity
    Despite its high throughput, Kafka may experience increased latency in certain scenarios, especially when configured for high durability and consistency.
  • Learning Curve
    The concepts and architecture of Kafka can be difficult for new users to grasp, leading to a steep learning curve.
  • Hardware Intensive
    Kafka's performance characteristics often require dedicated and powerful hardware, which can be costly to procure and maintain.
  • Dependency Management
    Managing Kafka's dependencies and ensuring compatibility between versions of Kafka, Zookeeper, and other ecosystem tools can be challenging.
  • Limited Support for Small Messages
    Kafka is optimized for large throughput and can be inefficient for applications that require handling a lot of small messages, where overhead can become significant.
  • Operational Complexity for Small Teams
    Smaller teams might find the operational complexity and maintenance burden of Kafka difficult to manage without a dedicated operations or DevOps team.

AWS Config videos

+ Add

AWS Config Tutorial

More videos:

  • Review - Manage and Track Application and Infrastructure Configuration Changes using AWS Config
  • Review - AWS Config Introduction

Apache Kafka videos

+ Add

Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners | Edureka

More videos:

  • Review - Apache Kafka - Getting Started - Kafka Multi-node Cluster - Review Properties
  • Review - 4. Apache Kafka Fundamentals | Confluent Fundamentals for Apache Kafka®
  • Review - Apache Kafka in 6 minutes
  • Review - Apache Kafka Explained (Comprehensive Overview)
  • Review - 2. Motivations and Customer Use Cases | Apache Kafka Fundamentals

Category Popularity

0-100% (relative to AWS Config and Apache Kafka)

AWS Config

Apache Kafka

Cloud Infrastructure
100 100%
Cloud Infrastructure
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Data Integration
0 0%
Data Integration
100% 100

User comments

Share your experience with using AWS Config and Apache Kafka. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Config and Apache Kafka

AWS Config Reviews

We have no reviews of AWS Config yet.
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Apache Kafka Reviews

Best ETL Tools: A Curated List
Debezium is an open-source Change Data Capture (CDC) tool that originated from RedHat. It leverages Apache Kafka and Kafka Connect to enable real-time data replication from databases. Debezium was partly inspired by Martin Kleppmann’s "Turning the Database Inside Out" concept, which emphasized the power of the CDC for modern data pipelines.
Source: estuary.dev
Best message queue for cloud-native apps
If you take the time to sort out the history of message queues, you will find a very interesting phenomenon. Most of the currently popular message queues were born around 2010. For example, Apache Kafka was born at LinkedIn in 2010, Derek Collison developed Nats in 2010, and Apache Pulsar was born at Yahoo in 2012. What is the reason for this?
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
Apache Kafka is a highly scalable and robust messaging queue system designed by LinkedIn and donated to the Apache Software Foundation. It's ideal for real-time data streaming and processing, providing high throughput for publishing and subscribing to records or messages. Kafka is typically used in scenarios that require real-time analytics and monitoring, IoT applications,...
Source: blog.iron.io
10 Best Open Source ETL Tools for Data Integration
It is difficult to anticipate the exact demand for open-source tools in 2023 because it depends on various factors and emerging trends. However, open-source solutions such as Kubernetes for container orchestration, TensorFlow for machine learning, Apache Kafka for real-time data streaming, and Prometheus for monitoring and observability are expected to grow in prominence in...
Source: testsigma.com
11 Best FREE Open-Source ETL Tools in 2024
Apache Kafka is an Open-Source Data Streaming Tool written in Scala and Java. It publishes and subscribes to a stream of records in a fault-tolerant manner and provides a unified, high-throughput, and low-latency platform to manage data.
Source: hevodata.com

Social recommendations and mentions

Based on our record, Apache Kafka should be more popular than AWS Config. It has been mentiond 142 times since March 2021. 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.

AWS Config mentions (21)

  • AWS Config: Automate Your Cloud Compliance and Security
    Ref: What is AWS config Credits to aws for the cover page image I used. - Source: dev.to / about 1 month ago
  • 🚀🚀Setting Up AWS Firewall Manager Used For Auditing Security Groups in AWS Organization accounts.
    Ii) AWS Config must be enabled in all member accounts (Firewall Manager relies on AWS Config for resource visibility). - Source: dev.to / about 1 month ago
  • What is Configuration Drift?
    Cloud providers offer services to detect, manage, and remediate configuration drift in their environments. Because cloud environments often become large and complex, services such as AWS Config, Azure Policy, and Workload Manager Evaluation can help continuously monitor and evaluate cloud resources and their configurations according to rules. - Source: dev.to / 6 months ago
  • Scanning AWS S3 Buckets for Security Vulnerabilities
    Regularly audit and monitor your S3 bucket configurations: Establish a routine for auditing and monitoring your S3 bucket configurations. You can also set up alerts for any changes to permissions or policies, enabling timely detection and response to potential security incidents. Additionally, you can utilize tools and services such as AWS Config, which helps you assess, audit, and evaluate the configuration of... - Source: dev.to / 9 months ago
  • How to Master Multi Region Architectures in AWS
    Periodic Audits and Compliance Checks: Use AWS Config and AWS Security Hub for continuous compliance tracking. Run AWS Inspector on periodic security checks of any identified vulnerabilities and always for mitigation. - Source: dev.to / about 1 year ago
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Apache Kafka mentions (142)

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What are some alternatives?

When comparing AWS Config and Apache Kafka, you can also consider the following products

Amazon CloudWatch - Amazon CloudWatch is a monitoring service for AWS cloud resources and the applications you run on AWS.

RabbitMQ - RabbitMQ is an open source message broker software.

Steampipe - Steampipe: select * from cloud; The extensible SQL interface to your favorite cloud APIs select * from AWS, Azure, GCP, Github, Slack etc.

Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.

CloudQuery - CloudQuery enables you to assess, audit, and evaluate the configurations of your cloud assets.

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.

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