Logstash vs. VWO

Perfect for projects where Elasticsearch makes sense: if you decide to employ ES in a project, then you will almost inevitably use LogStash, and you should anyways. Such projects would include: 1. Data Science (reading, recording or measure web-based Analytics, Metrics) 2. Web Scraping (which was one of our earlier projects involving LogStash) 3. Syslog-ng Management: While I did point out that it can be a bit of an electric boo-ga-loo in finding an errant configuration item, it is still worth it to implement Syslog-ng management via LogStash: being able to fine-tune your log messages and then pipe them to other sources, depending on the data being read in, is incredibly powerful, and I would say is exemplar of what modern Computer Science looks like: Less Specialization in mathematics, and more specialization in storing and recording data (i.e. Less Engineering, and more Design).

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It works better for either small or big companies because small companies can start with the free plan which is very decent and has everything they need. Also for big companies who get the best paid plans they get a lot of premium functionalities, the insight module, outstanding reports. But for medium size companies who can only afford the basic paid plan, it may not be the best tool as it is very limited. For example, they cannot analize a/b tests for new and ruturning visitors, neither based on the users device category.

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• Logstash design is definitely perfect for the use case of ELK. Logstash has "drivers" using which it can inject from virtually any source. This takes the headache from source to implement those "drivers" to store data to ES.
• Logstash is fast, very fast. As per my observance, you don't need more than 1 or 2 servers for even big size projects.
• Data in different shape, size, and formats? No worries, Logstash can handle it. It lets you write simple rules to programmatically take decisions real-time on data.
• You can change your data on the fly! This is the CORE power of Logstash. The concept is similar to Kafka streams, the difference being the source and destination are application and ES respectively.

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• VWO is pretty easy to implement on websites and doesn't require a heavy technology lift
• The VWO interface is pretty intuitive and let's non-technical users make variants for testing
• The VWO reporting dashboard is excellent for determining statistical significance and understanding whether differences in conversion rates are meaningful or not

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• It is heavy i.e., intensive as of now. Need to reduce overhead to save CPU/RAM consumption
• Need to be more Kubernetes-friendly. Should support auto-scaling and K8s observability
• Initial configuration is still complex. A seamless config procedure is still required

• The user interface within VWO does take a bit of time to get used to, especially as it pertains to switching back and forth between tests. When running multiple experiments on a site at a time, a clear and succinct dashboard for everything in one place would be helpful (as opposed to needing to switch between A/B, multivariate, etc).

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It's great value and we think we've ironed out all the major teething troubles. However, if we experience any more bugs or problems that significantly slow us down then we're seriously considering switching to Optimizely, which I haven't personally tested but have heard great things about from my CRO peers

As I said earlier, for a production-grade OpenStack Telco cloud, Logstash brings high value in flexibility, compliance, and troubleshooting efficiency. However, this brings a higher infra & ops cost on resources, but that is not a problem in big datacenters because there is no resource crunch in terms of servers or CPU/RAM

I gave Visual Website Optimizer a rating of 8 because it is overall a great product to use. Setting up and keeping track of various tests is easy and straight forward. The only reason why this product is not rated higher is because the support documents online leave a lot of room for improvement.

I have not experienced an application error or unplanned outage with VWO.

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VWO doesn't appear to slow down our website at all, though some customers with adblockers like UBlock Origin have been known to not see entire pages if VWO is making changes to the page at a macro level (background, font, etc). This is rare though.

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While their online document support is lacking a simple email to their support team will almost always get responded to the next day. It has however taken more than one email to explain the problem to the support team till they understood the problem. The solution I was given also only half fixed the problem the rest I figured out on my own.

Training was good, just limited to the onboarding process. They walked through all of the steps it takes to get started in VWO and each of the modules, along with giving us ideas for starting our first test. I feel like it could be better if there was a guided process within the VWO program to continue to educate you along the way, and a way to turn that off for experienced users.

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Overall, the implementation of VWO is straightforward. If you've got a straightforward way of deploying code to all of your test pages, either a good CMS or a TMS, then implementation should be a breeze. There is no tweaking to be done to the code itself, and once deployed it has the flexibility to cope with different VWO modules (tracking, conversion analysis, session analysis) without modification.

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Logstash can be compared to other ETL frameworks or tools, but it is also complementary to several, for example, Kafka. I would not only suggest using Logstash when the rest of the ELK stack is available, but also for a self-hosted event collection pipeline for various searching systems such as Solr or Graylog, or even monitoring solutions built on top of Graphite or OpenTSDB.

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There are significant differences in each platform when it comes to Optimizely and vwo. From a functionality and performance perspective they each have their pros and cons. It is important to go through the feature sets of each and ensure the solution you select will work specifically with your business objectives and conversion rate optimization goals

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The product seems infinitely scalable for our needs (small business) and we've never had any issue with loading VWO-edited elements. I will say, though, that online customers with ad blockers have been known to not see certain VWO elements as their third-party scripts are disabled.

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• Positive: LogStash is OpenSource. While this should not be directly construed as Free, it's a great start towards Free. OpenSource means that while it's free to download, there are no regular patch schedules, no support from a company, no engineer you can get on the phone / email to solve a problem. You are your own Engineer. You are your own Phone Call. You are your own ticketing system.
• Negative: Since Logstash's features are so extensive, you will often find yourself saying "I can just solve this problem better going further down / up the Stack!". This is not a BAD quality, necessarily and it really only depends on what Your Project's Aim is.
• Positive: LogStash is a dream to configure and run. A few hours of work, and you are on your way to collecting and shipping logs to their required addresses!

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• The ability to offer a CRO service is greatly enhanced by VWO, as it allows us to run tests for clients
• The editor means to some extent we don't need much developer resource to run the tests, lowering costs of doing so

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