Tag: DevOps (Page 1 of 2)

How I learned to stop worrying and love TeamCity mac agents

If you’re an iOS developer, then you’re probably familiar with the difficult task of developing CI pipelines for your app. Most of the dark corners involved in developing CI Pipelines for iOS could be avoided by outsourcing it to SaaS CI/CD solutions such as Travis, Circle or Bitrise. But what happens if you have to build 30 applications? Or more? At Soluto, we’re building a lot of applications, and I do mean A LOT. Having to build more than 30…

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How we deployed a scikit-learn model with Flask and Docker

In our last post we discussed our customer satisfaction prediction model. We used AzureML studio for our first deployment of this machine learning model, in order to serve real-time predictions. In this post we would like to share how and why we moved from AzureML to a Python deployment using Flask, Docker and Azure App Service. During this time we also tried Azure Function with Python. In addition, we open-sourced a sample Python API with Flask and Docker for machine…

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Your CI can be a whole lot better

Tweek is an open source feature management project that we’re developing here at Soluto. Or in other words – our baby. Like every open source project, Tweek also needs a reliable and fast CI process that can build and test it. Tweek has multiple services (.Net Core and NodeJs) and a website (NodeJs), and we chose Docker to deploy them. We need a CI solution to build and test each of the components separately, and then test all of them…

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Keeping your Redis in shape in 3 simple steps

Redis is a great NoSQL database, not only for cache, but also as a primary data source (and we’re doing both!). Because it is so popular, there are many hosting solutions for Redis – and most of them offer plans with different memory sizes. If you use a hosting solution like we do, then you’re probably encountering a similar problem: how do you keep your Redis instance in the plan’s limit? Here I explain how to do this easily by…

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Distributed Monitoring for DevOps Teams Using Icinga and Puppet

Our team at Soluto is comprised of developers, product managers and UX designers. The team works together on a few dozen mobile applications and on our large scale micro-services backend. As part of our DevOps culture, we encourage small and frequent releases. As a result of this approach, changes to our backend are very frequent. Add to that the very strict SLA standards our customers require us to stick to, and we have a need for excellent monitoring. For a…

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