Django vs. F5 Distributed Cloud WAF (Web Application Firewall)

Django is really well suited for backend heavy work where logic is key and you want a solid foundation that can scale well. If you are comfortable with python and work with a lot of different third parties, it is an extremely easy decision to make. But for a quick prototype or front end heavy work or where the system has low resources, there are different frameworks available.

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It is doing its job effectively, and its scalability is superb. So, if you have a mixed environment with cloud and on-premise systems to protect this product, provide a solution to the challenge. However, its management is more suited to DevOps teams rather than to the ones responsible for on-premise systems, making the management a bit more complex.

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• Layer seven attacks are becoming far more common. Traditionally it was always layered three, layer four, where you get an additional firewall, but with the application layer attacks become more frequent, more popular, et cetera. So having the web application firewall protecting us, and then with the recent Log4j, that's the most recent use case when it gave us that instant level of protection whilst we remediated the Log4j that we had that and the F5 Distributed Cloud WAF was protecting us.
• I have a great relationship with the account manager, my account manager, and I think he drives the best price possible, um, for me, and I'm happy with that price.
• F5 Distributed Cloud WAF is always innovating and evolving.
• We run a very competitive proof value where we run numerous competitors against each other, and then we evaluate from that and then make the selection, and F5 Distributed Cloud WAF was the winner.

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• Lack of warnings, currently the console does not provide a warning when deleting key-value entry.
• The web GUI could use some tweaking, currently no undo option when removing exclusion rules.
• Configuration complexity, currently menus and options are hidden, making it hard to configure vs on prem.

We gave it an 8 because it protects our web apps well and is reliable. The WAF is flexible and meets most of our needs. It could improve in user interface and make integrations easier, but overall, it’s a solid and effective security tool for us.

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It is a bit harder than the other frameworks for new users and so for that reason some may find it harder to use than others. The Django admin is great but the UI is a bit dated and some functionality need explicit plumbing. Like how to handle related records within the admin panel.

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I believe is a solution that was designed from the start to be simple and easy to use. Coming from Imperva, it simply eased the burden and complexity of managing and securing our apps on different environments (cloud and on-prem). It easy to scale and very quick to deploy (as a cloud waf should be), provide us with DevOps integrations, visibility and automatic insights from multiple events that guarantee peace of mind for us analysts and opp managers.

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Seems no issue

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Unnoticed slowness

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I never contacted support for this product.

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Online training saves me lots of time

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Just make sure you origin servers have F5 IPs allowed.

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I was unable to add Ruby on Rails, FastAPI which were also alternatives. The product was complicated and needed to be stable to high load. Django is battle tested and very stable and actively managed. The other python were relatively newer at the time. PHP and ruby were not the best language choices and so the choice of python drove down the actual alternatives to only a handful with Django being the most reliable, widely used among them

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The other one that I've used in the past, they're very similar and I haven't used it recently, so I can't do a side-by-side comparison today. But I can say that F5 does everything we want it to do consistent with what this other product did do and it's got enhanced features and of course we have a long history with F5 as a product set in general.

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Dont see any issue so far

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• The biggest gain for us was speed. Before F5 Distributed Cloud WAF, onboarding a new app to our WAF stack meant manual rule tuning, traffic sampling and regression testing. Right now, we spin up a service, tag it with the right policy and its ready (production ready) within hours

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