Apache HTTP Server
Microsoft IIS
Apache Tomcat
XAMPP
LiteSpeed Web Server
MAMP
lighttpd
Forge
Apache Flink
Apache Spark
Amazon Kinesis
Spring Framework
Spark Mail
Apache Airflow
Grails
Apache Kafka
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Based on our record, Apache HTTP Server should be more popular than Apache Flink. It has been mentiond 50 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.
Single-page applications (SPAs) existed before S3, but given that you still had to set up, scale, and maintain servers using something like Apache or NGINX in order to serve them, the advantages for “Ops” or “DevOps” were not so different to running a “real server” with a language like PHP, python, or Java. - Source: dev.to / 3 months ago
Both Docusaurus and Starlight generate static sites. This means that theoretically, they can be deployed on any platform that supports deploying static sites (like Apache or NGINX). But both of them provide a significantly better developer experience if we deploy on their recommended platforms. - Source: dev.to / 3 months ago
Simiplicity is nice, but there are reasons why Perl and PHP were the popular choices for web stacks in the early 2000's--they are faster and easier to develop with than C and likely safer than C too. Mod_perl (https://perl.apache.org/) and mod_php (https://cwiki.apache.org/confluence/plugins/servlet/mobile?contentId=115522403#content/view/115522403) helped to make Apache httpd (https://httpd.apache.org/) the... - Source: Hacker News / 4 months ago
The Apache HTTP Server project was initially launched in 1995 by a group of web developers and administrators who sought to improve upon the existing web server software available at the time. The project has since evolved into a collaborative effort, with contributors from around the world working together to maintain and enhance the server. Today, the Apache HTTP Server is managed by the Apache Software... Source: about 1 year ago
Apache websites of friends and acquaintances. Source: about 1 year ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 23 days ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago
Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago
Microsoft IIS - Internet Information Services is a web server for Microsoft Windows
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache Tomcat - An open source software implementation of the Java Servlet and JavaServer Pages technologies
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
XAMPP - XAMPP is a free and open-source cross-platform web server that is primarily used when locally developing web applications.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.