Imanis Data and MDL autoMation Case Study

Background

I’ve covered Imanis Data in the past, but am the first to admit that their focus area is not something I’m involved with on a daily basis. They recently posted a press release covering a customer success story with MDL autoMation. I had the opportunity to speak with both Peter Smails from Imanis Data, as well as Eric Gutmann from MDL autoMation. Whilst I enjoy speaking to vendors about their successes in the market, I’m even more intrigued by customer champions and what they have to say about their experience with a vendor’s offering. It’s one thing to talk about what you’ve come up with as a product, and how you think it might work well in the real world. It’s entirely another thing to have a customer take the time to speak to people on your behalf and talk about how your product works for them. Ultimately, these are usually interesting conversations, and it’s always useful for me to hear about how various technologies are applied in the real world. Note that I spoke to them separately, so Gutmann wasn’t being pushed in a certain direction by Imanis Data – he’s just really enthusiastic about the solution.

 

The Case Study

The Customer

Founded in 2006, MDL autoMation (MDL) is “one of the automotive industry’s leaders in the application of IoT and SaaS-based technologies for process improvement, automated customer recognition, vehicle tracking and monitoring, personalised customer service and sales, and inventory management”. Gutmann explained to me that for them, “every single customer is a VIP”. There’s a lot of stuff happening on the back-end to make sure that the customer’s experience is an extremely smooth one. MongoDB provides the foundation for the solution. When they first deployed the environment, they used MongoDB Cloud Manager to protect the environment, but struggled to get it to deliver the results they required.

 

Key Challenges

MDL moved to another provider, and spent approximately six months with getting it running. It worked well at the time, and met their requirements, saving them money and delivering quick backup on-premises and quick restores. There were a few issues though, including the:

  • Cost and complexity of backup and recovery for 15-node, sharded, MongoDB deployment across three data centres;
  • Time and complexity associated with daily refresh to non-sharded QA test cluster (it would take 2 days to refresh QA); and
  • Inability to use Active Directory for user access control.

 

Why Imanis Data?

So what got Gutmann and MDL excited about Imanis Data? There were a few reasons that Eric outlined for me, including:

  • 10x backup storage efficiency;
  • 26x faster QA refresh time – incremental restore;
  • 95% reduction in number policies to manage – enterprise policy engine, the number of policies to manage was reduced from 40 to 2; and
  • Native integration with Active Directory.

It was cheaper again than the previous provider, and, as Gutmann puts it “[i]t took literally hours to implement the Imanis product”. MDL are currently protecting 1.6TB of data, and it takes 7 minutes every hour to backup any changes.

 

Conclusion and Further Reading

Data protection is a problem that everyone needs to deal with at some level. Whether you have “traditional” infrastructure delivering your applications, or one of those fancy new NoSQL environments, you still need to protect your stuff. There are a lot of built-in features with MongoDB to ensure it’s resilient, but keeping the data safe is another matter. Coupled with that is the fact that developers have relied on data recovery activities to get data in to quality assurance environments for years now. Add all that together and you start to see why customers like MDL are so excited when they come across a solution that does what they need it to do.

Working in IT infrastructure (particularly operations) can be a grind at times. Something always seems to be broken or about to break. Something always seems to be going a little bit wrong. The best you can hope for at times is that you can buy products that do what you need them to do to ensure that you can produce value for the business. I think Imanis Data have a good story to tell in terms of the features they offer to protect these kinds of environments. It’s also refreshing to see a customer that is as enthusiastic as MDL is about the functionality and performance of the product, and the engagement as a whole. And as Gutmann pointed out to me, his CEO is always excited about the opportunity to save money. There’s no shame in being honest about that requirement – it’s something we all have to deal with one way or another.

Note that neither of us wanted to focus on the previous / displaced solution, as it serves no real purpose to talk about another vendor in a negative light. Just because that product didn’t do what MDL wanted it to do, doesn’t mean that that product wouldn’t suit other customers and their particular use cases. Like everything in life, you need to understand what your needs and wants are, prioritise them, and then look to find solutions that can fulfil those requirements.

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