Apache is one of the go-to web servers for website owners and developers, with more than a 50% share in the commercial web server market.
Apache HTTP Server is a free and open-source server that delivers web content through the internet. It is one of the oldest and most reliable web server software maintained by the Apache Software Foundation, with the first version released in 1995. It is commonly referred to as Apache and after development, it quickly became the most popular HTTP client on the web.
It is a modular, process-based web server application that creates a new thread with each simultaneous connection. It supports a number of features; many of them are compiled as separate modules and extend its core functionality, and can provide everything from server side programming language support to authentication mechanisms. Virtual hosting is one such feature that allows a single Apache Web Server to serve a number of different websites.
In Tim Spann’s Lightning Talk session, we will breaking down the following topics:
- What Is An Apache Integration?
- Apache Flink
- Apache Nifi
- Apache Kafka
- Live Demonstrations
- Closing Thoughts
What Is An Apache Integration?
A software integration is the process of bringing together various types of software subsystems so that they create a unified single system. The integration should be carefully coordinated to result in a seamless connection of the separate parts. When done skillfully, the increased efficiency is a tremendous benefit to the Apache developer.
Implementing an integration that works best for an individual development team’s workflow is essential to the future success of the project. Taking time to explore and walk through a number of layout features will only stand to benefit the user-experience and streamlining of efficient tasking.
Apache Flink is a real-time processing framework which can process streaming data. It is an open source stream processing framework for high-performance, scalable, and accurate real-time applications. It has a true streaming model and does not take input data as batch or micro-batches.
Example: The below framework diagrams the different layers that run as part of the Apache Flink ecosystem.
Apache NiFi is a visual data flow based system which performs data routing, transformation and system mediation logic on data between sources or endpoints.
Apache Kafka is a distributed streaming platform that: Publishes and subscribes to streams of records, similar to a message queue or enterprise messaging system. Stores streams of records in a fault-tolerant durable way. Processes streams of records as they occur.
Apache Kafka was built with the vision to become the central nervous system that makes real-time data available to all the applications that need to use it, with numerous use cases like stock trading and fraud detection, to transportation, data integration, and real-time analytics.
Example: The below framework diagrams the operational flow of information using the Apache Kafka plug-in.
Tim Spann has crafted an intuitive demonstration to help guide you through these different Apache integrations in practicum:
Be sure to follow Tim’s entire Lightning Talk to view this impressive demonstration in real time.
All programs should always be designed with performance and the user experience in mind. The properties explored above are the primary stepping stones to exploring the basic components needed to test how Apache Integrations can improve your personal data application. Be sure to explore, have fun, and match up the components that work best for your project!
To learn more about Apache Integrations in application development and to experience Tim Spann’s full Lightning Talk session, watch here.