Cloudflare’s connectivity cloud is a unified platform of cloud-native services designed to help enterprises regain control over their IT environments. Powered by an intelligent, programmable global cloud network, it is built to offer security, performance, visibility, and reliability.
Well suited: To most of the local run of datasets and non-prod systems - scalability is not a problem at all. Including data from multiple types of data sources is an added advantage. MLlib is a decently nice built-in library that can be used for most of the ML tasks. Less appropriate: We had to work on a RecSys where the music dataset that we used was around 300+Gb in size. We faced memory-based issues. Few times we also got memory errors. Also the MLlib library does not have support for advanced analytics and deep-learning frameworks support. Understanding the internals of the working of Apache Spark for beginners is highly not possible.
Based on my experience, Cloudflare is well-suited for high-traffic websites and probably e-commerce platforms. Cloudflare can mitigate the risk of attacks on these websites using WAF and DNS protection mechanisms and provide cached content to the end-users quickly. The websites where it is not suitable are those that need high security and compliance requirements as Cloudflare might not meet all those criteria.
Registrar and DNS services are impeccable, with registrations done at cost and without ADs. DNS services setting standards for speed of resolution.
DDOS protection. With their content distribution network to back them they have the bandwidth and tools to be both proactive and reactive to bad actors.
WAF - Their Web Application Firewall helps mitigate common site vulnerabilities and has active zero-day protection running for breaking exploits
In some cases, using Cloudflare can actually lead to slower website speeds if the network is congested or if the website's traffic is particularly heavy.
Some website owners may find that the level of customization offered by Cloudflare is limited, especially in comparison to other solutions.
While Cloudflare is easy to set up and manage, it may be too complex for users who are not familiar with web technologies.
If the team looking to use Apache Spark is not used to debug and tweak settings for jobs to ensure maximum optimizations, it can be frustrating. However, the documentation and the support of the community on the internet can help resolve most issues. Moreover, it is highly configurable and it integrates with different tools (eg: it can be used by dbt core), which increase the scenarios where it can be used
Everything is extremely concise and all settings apply immediately and take effect globally. There is no reason to explicitly plan/think in terms of individual regions as one would have to traditional cloud offerings (AWS, OCI, Azure). All Cloudflare products integrate seamless as part of a single pipeline that executes from request to response.
1. It integrates very well with scala or python. 2. It's very easy to understand SQL interoperability. 3. Apache is way faster than the other competitive technologies. 4. The support from the Apache community is very huge for Spark. 5. Execution times are faster as compared to others. 6. There are a large number of forums available for Apache Spark. 7. The code availability for Apache Spark is simpler and easy to gain access to. 8. Many organizations use Apache Spark, so many solutions are available for existing applications.
I have only used their support a few times, and most times, they are responsive and able to resolve my issue with a minimal amount of time and effort. However, there was one instance where I simply asked about how to purchase some more resources (redirect rules), and I received some type of automated/AI response that was very unhelpful and gave me no opportunity to escalate to a person.
Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
A lot of requests are cached and so egress costs from downstream providers are mitigated.
DDoS protection has also managed to keep our site up and our cloud computing bill down.
Setting up a proxy with a worker made putting various Google Cloud Functions running behind a single URL very easy and performant. Plus they offer API Shield on top of this.
