Apache Web Server (Apache HTTP Server) is an open source HTTP web server for modern operating systems including UNIX and Windows.
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Apache Kafka
Score 8.5 out of 10
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Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The Kafka event streaming platform is used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
As I mentioned earlier, the Apache HTTP Server has a small disadvantage compared to the competition (NGINX) in terms of performance. If you run websites that really have a lot of visitors, NGINX might be the better alternative.
On the other hand, the Apache HTTP Server is open source and free. Further functionalities can be activated via modules. The documentation is really excellent.
Apache Kafka is well-suited for most data-streaming use cases. Amazon Kinesis and Azure EventHubs, unless you have a specific use case where using those cloud PaAS for your data lakes, once set up well, Apache Kafka will take care of everything else in the background. Azure EventHubs, is good for cross-cloud use cases, and Amazon Kinesis - I have no real-world experience. But I believe it is the same.
Street Cred: Apache Web Server is the Founder for all of Apache Foundation's other projects. Without the Web Server, Apache Foundation would look very different. That being said, they have done a good job of maintaining the code base, and keeping a lot of what makes Apache so special
Stability: Apache is rock-solid. While no software is perfect, Apache can parse your web sources quickly and cleanly.
Flexibility: Need to startup your own Webpage? Done. Wordpress? Yup. REST Endpoint? Check. Honeypot? Absolutely.
Really easy to configure. I've used other message brokers such as RabbitMQ and compared to them, Kafka's configurations are very easy to understand and tweak.
Very scalable: easily configured to run on multiple nodes allowing for ease of parallelism (assuming your queues/topics don't have to be consumed in the exact same order the messages were delivered)
Not exactly a feature, but I trust Kafka will be around for at least another decade because active development has continued to be strong and there's a lot of financial backing from Confluent and LinkedIn, and probably many other companies who are using it (which, anecdotally, is many).
The default configurations which comes with Apache server needs to get optimized for performance and security with every new installation as these defaults are not recommended to push on the production environment directly.
Security options and advanced configurations are not easy to set up and require an additional level of expertise.
Admin frontend GUI could be improved to a great extent to match with other enterprise tools available to serve similar requirements.
Sometimes it becomes difficult to monitor our Kafka deployments. We've been able to overcome it largely using AWS MSK, a managed service for Apache Kafka, but a separate monitoring dashboard would have been great.
Simplify the process for local deployment of Kafka and provide a user interface to get visibility into the different topics and the messages being processed.
Learning curve around creation of broker and topics could be simplified
Apache Kafka is highly recommended to develop loosely coupled, real-time processing applications. Also, Apache Kafka provides property based configuration. Producer, Consumer and broker contain their own separate property file
I give this rating because there is so much Apache documentation and information on the web that you can literally do anything. This has to do with the fact that there is a huge Open Source community that is beyond mature and perhaps one of the most helpful to be found. The only thing that should hold anyone back from anything is that they can not read. RTFM, my friend. And I must say that the manual is excellent.
Support for Apache Kafka (if willing to pay) is available from Confluent that includes the same time that created Kafka at Linkedin so they know this software in and out. Moreover, Apache Kafka is well known and best practices documents and deployment scenarios are easily available for download. For example, from eBay, Linkedin, Uber, and NYTimes.
I has a lot more features, except that IIS is more integrated in a Windows environment. But now with .net core also possible from Apache it would work anywhere really. Only in a full Windows environment where full integration is needed I would chose to go for IIS. Otherwise Apache it is.
I used other messaging/queue solutions that are a lot more basic than Confluent Kafka, as well as another solution that is no longer in the market called Xively, which was bought and "buried" by Google. In comparison, these solutions offer way fewer functionalities and respond to other needs.
Positive: Get a quick and reliable pub/sub model implemented - data across components flows easily.
Positive: it's scalable so we can develop small and scale for real-world scenarios
Negative: it's easy to get into a confusing situation if you are not experienced yet or something strange has happened (rare, but it does). Troubleshooting such situations can take time and effort.
