Heroku Platform vs. IBM Z IntelliMagic Vision

Heroku is very well suited for startups looking to get a server stack up and running quickly. There is little to no overhead when managing your instances. However, you'll need a background in basic DevOps or system management to make sure everything is set up correctly. In addition, it's easy to accidentally go crazy on pricing. Make sure you're only creating the server instances you need to run the base application and set up an auto-scaler plugin to handle peaks.

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IntelliMagic Vision for z/OS is perfect for just about any after-the-fact analysis that I have tried to use it for. Sometimes it doesn't provide support for the latest SMF fields, but that is the nature of SMF data analysis - it is impossible to keep up with the rate at which new SMF fields are added. Combine that with the fact that the description of new fields is often poor, and it is amazing that IntelliMagic Vision for z/OS is as up-to-date as it is. I think that less experienced users might benefit from material that more clearly differentiates products like IntelliMagic Vision for z/OS, which feed off SMF data, and products like Omegamon, which report in real-time contents of various system control blocks.

• Heroku has a very simple deployment model, making it easy to get your application up-and-running with minimal effort. We can focus on our efforts the unique aspects of our application.
• The robust add-on marketplace makes it easy to try out new approaches with minimal effort and investment -- and when we settle on a solution, we can easily scale it.
• Heroku's support is quite good -- their staff is quite technical and willing to get into the weeds to diagnose even complicated problems.

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• IntelliMagic Vision for z/OS is easy to use for beginners and experts.
• Search and drill down helps to find overview and deep dive.
• IntelliMagic has implemented expert knowledge into Vision and the rating of the report is really helpful.
• Predefined reports can be modified very easily and individually adapted reports (replacement of old SAS programs) are also possible without any problems

• Large price jumps between certain resource tiers (2x Dyno for $50 per month versus Performance Dyno for $250). Free Postgres next jumps to $50 per month.
• Marketing/Branding to non-technical stakeholders. As the years pass, I've had to fight more to convince stakeholders on the value of Heroku over AWS.
• Improve Buildpack documentation. This is one area where Heroku's documentation is fairly confusing.

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• The voluminous data is a challenge for all tools. As always, improved response time is always appreciated.
• I really appreciate reading the descriptions and field descriptions that are provided with the screens. All additional elaborations will be appreciated.
• Monthly trending and cyclical pattern detection

Heroku is easy to use, services a ton of functions for you out of the box, and provides a means to get a software product off the ground and managed quickly and easily. The tools provide allows a small to medium size org to move very quickly. The CLI tools provided make managing an entire technical infrastructure simple.

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In comparison to other products (even on IBM Z), IntelliMagic Vision for z/OS is really RAS (reliability, availability, and serviceability). The GUI is really stable; analyze/reduce jobs with detailed diagnostics; restart functions with Automator

Easy to use web based console and easy to use command line tools; deployment is done directly from a GIT repository. What more could you ask for? The one thing that keeps me from giving it a 10 is that custom build packs are almost incomprehensible. We used one for a while because we needed cairo graphics processing. Fortunately, I was able to figure out a different way to do what we needed so that we could get off the custom build pack.

with more than 12 years of experience in Mainframe performance tuning and analysis, it was much easier to translate and understand the tool. New college grads without Mainframe exposure struggled a bit to connect the dots, it might be good to have a recording from IM to go through mainframe basics before the staff start to use the tool covering mainframe concepts than tool itself.

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Heroku availability correlates pretty strongly to AWS US EAST availability. We had a couple of times where there was a Heroku-specific issue but not for the last 7-8 months.

The only issue that I ever have is that about 1 out of 20 deployments (git push) will hang and need to be cancelled and done again.

I've used it for many years without facing any major problem. It's not hard at all to get used to it, it's documentation is outstanding and simple. We are close to 2020 and I don't think most of the existing companies or startups should still face old problems such as wasting time deploying code and calculate computing resources.

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Really highly skilled IntelliMagic team:

• Head of IntelliMagic (Gilbert Houtekamer, Els Das and Jean-Marc van der Kolk)
• Account manager DACH/Europe local support team ...

Be ready to pay a bit more than expected in the beginning if you're migrating from a big server. The application is probably not ready for the change and you have to keep improving it with time.

It's also important to consider that you can't save anything to the disc as it will be lost when your application restarts, so you have to think about using something like S3.

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Heroku is the more expensive option for hosting compared to some of the cloud platforms we investigated, but it's worth it for us because of the plug-and-play nature of Heroku deployment. We can be up and running in a few minutes and know with precision how much it will cost us each month to run the application, unlike Amazon Web Services where you have to go to great pains to configure it correctly or else you might end up with a shocking monthly bill. Overall, spending the time to configure Amazon Web Services or one of its competitors is likely the more affordable and powerful choice, because you have control over so many specifics of the configuration. But it also requires the burden of continuing to maintain and update your AWS instance, whereas with Heroku they take care of security fixes and platform upgrades. It's a great service and we are happy to pay the extra cost for the value-adds Heroku provides.

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These are the legacy products that have been used for capacity/performance/billing and report generation over many years. Some are better suited for solutions using programmatic interfaces ( internal billing ), and processing IMS transactional data in particular. For most tasks, however, Vision can generate charts, provide levels of drill-down, allow a focus on analysis rather than report generation, much faster with greater reliability and less required training than the above products

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• It has been critical in seamlessly operating our platform with runs all of our programs.
• It has been impressive with its ability to scale quickly which results in the growth of our work.
• It allows for tracking of different features which allows for quick problem solving which saves us time.

• Based on data from Vision, we have not had to expand the hardware this year.
• Any expansion of hardware in the coming years can be well supported by figures from Vision.