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What is Apache Gump?

The Apache Gump continuous integration tool is recognized as the first project established at the Apache Software Foundation. Crafted in Python, it integrates smoothly with Apache Ant and Apache Maven (from versions 1.x to 3.x) as well as other various build tools. What uniquely defines Gump is its ability to compile and build software using the latest development versions of projects, allowing it to quickly identify potentially incompatible changes within hours of their introduction into the version control system. Upon detecting such changes, it promptly sends notifications to the project team, complete with links to detailed online reports. While users can choose to install and run Gump on their personal systems for their own projects, it has gained substantial recognition for its contribution to building numerous Apache projects and their dependencies. To support this functionality, the Gump project maintains its own dedicated server, which ensures both efficiency and reliability in its operations. This collection of features positions Gump as an invaluable resource for developers aiming to uphold compatibility and enhance their integration workflows. Furthermore, its ability to promptly alert teams to issues helps foster a proactive approach to software development.

What is Amazon MSK?

Amazon Managed Streaming for Apache Kafka (Amazon MSK) streamlines the creation and management of applications that utilize Apache Kafka for processing streaming data. As an open-source solution, Apache Kafka supports the development of real-time data pipelines and applications. By employing Amazon MSK, you can take advantage of Apache Kafka’s native APIs for a range of functions, including filling data lakes, enabling data interchange between databases, and supporting machine learning and analytical initiatives. Nevertheless, independently managing Apache Kafka clusters can be quite challenging, as it involves tasks such as server provisioning, manual setup, and addressing server outages. Furthermore, it requires you to manage updates and patches, design clusters for high availability, securely and durably store data, set up monitoring systems, and strategically plan for scaling to handle varying workloads. With Amazon MSK, many of these complexities are mitigated, allowing you to concentrate more on application development rather than the intricacies of infrastructure management. This results in enhanced productivity and more efficient use of resources in your projects.

Media

Media

Integrations Supported

5X
Amazon Data Firehose
Amazon EC2
Apache Kafka
Argonaut
Datadog
Lenses
New Relic
Onehouse
Protegrity
Sumo Logic
Tenzir
Waterstream
kPow

Integrations Supported

5X
Amazon Data Firehose
Amazon EC2
Apache Kafka
Argonaut
Datadog
Lenses
New Relic
Onehouse
Protegrity
Sumo Logic
Tenzir
Waterstream
kPow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.0543 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

gump.apache.org

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/msk/

Categories and Features

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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