Relying on a managed service provider is a positive step toward an optimal IT infrastructure.
Relying on a managed service provider is a positive step toward an optimal IT infrastructure.
A managed services provider can take care of network and security services, cost optimization, disaster recovery and more. This allows internal infrastructure/development teams to spend time addressing strategic business problems. Through team productivity and system optimization, your enterprise is more agile in responding to market demands. And your customers can look forward to better experiences!
With extensive expertise in AWS and Azure, Kodez takes care of end to end managed services. Currently, we manage the Azure cloud infrastructure and application stack of FitnessPassport. Our team handles several aspects such as
We succeeded in giving Fitness Passport better security, more flexibility in deployments and a reduction of total services costs. We know you have a vision for IT systems and our goal is to help achieve it!
We want to do more than have services functioning as they should. Through frequent consultations, we can take an iterative approach to improve these services. Our commitment is to make your IT operations agile, secure and cost-efficient.
Treating your infrastructure as code is becoming more and more necessary these days. Writing these instructions becoming challenging too. In Azure we use ARM templates to define the resources and associate them with a deployment pipeline. But ARM templates are quite complicated and they are not everybody’s cup of tea.
Azure MachineLearning Service provides four main compute options each with a specific purpose attached to it. In this post we will go through each of those and see where we can occupy them in your ML experiments.
In the era of Industry 4.0 where data and predictive analytics players the major role, developing machine learning pipelines have become an essential in intelligent application development.
