Overprovision, high cloud costs, traffic loss — and other problems PredictKube can solve
Introduction
Hi, I’m Daniel CTO & Co-Founder at Dysnix, and today I want to talk about problems we’ve met during our work and how we decided to solve them with our new product— PredictKube. For those who don’t know anything about our company, let’s get acquainted!
Dysnix is a geek team of highly qualified infrastructure Architects, Senior DevOps Engineers, and Developers. We are a tight-knit team of passionate professionals that have been working together since 2016. We have launched 89 successful projects in various industries: from Media and Advertising to Medtech, and thanks to our customers, we’re extremely experienced with Blockchain and Fintech.
Few words about PredictKube
PredictKube is a tool for proactive management of a Kubernetes cluster, which focuses on scaling, monitoring, and security. With PredictKube KEDA Scaler, you’ll be able to finish autoscaling before the load rises or drops thanks to predictions made by our AI model. So it changes considerably the whole scaling approach.
Our clients’ problems can be solved by PredictKube
The problem of unpredictable service level
SLA breakdowns caused by instability of cloud infrastructure lead to significant reputation damage, client loss, and large cloud bills. So, it is highly important to allocate your resources properly to avoid traffic loss and waste of money. Moreover, there are other factors (such as overused disk space or memory leak) that lead to questioning the effectiveness of the provided services.
The risk of a traffic loss
Of course, everyone wants to skip this painful growth moment at the outset. You need a special tool, which helps to find a balanced solution in terms of infrastructure planning.
There are many factors to take into account: types of instances, quality and number of new disks, allocating resources for certain traffic patterns. You need to plan it all to prevent your project from traffic loss when you won’t be able to scale and there will be only one possible way out — overpay because of overprovisioning.
Imperfect manual cloud costs management
It is impossible to predict the costs for infrastructure with perfect accuracy for a CTO, who is not only a great professional but also just a human being. People are prone to making mistakes, that’s why the human factor in infrastructure management is way too risky, and it is much more efficient to hand over the prediction of the costs to the power of tools.
Today many companies still have little concern about the environment and sustainable development, working on non-optimized instances, because they cannot spend time on the migration period to get optimized by moving to better instances.
Few words about the AI core of a product
Dysnix’s enthusiastic data scientists team led by Yuriy Khoma has developed the AI model and trained it based on huge volumes of open-source web traffic data. Although we are constantly upgrading the AI model, it can work even better on each specific project. We can customize it for you to provide more precise, flexible and efficient prediction functions not bounded by time limits and data sources.
Can’t wait to try?
If you want to know more about our new product, read the full article on the Dysnix site or visit the main page of a product and try the open-source version right away.
We are looking forward to getting feedback from you!
