Legacy applications that are resource-intensive and inflexible can hinder the effectiveness of your technology architecture.
We helped PeopleStream to rewrite their HR application as Cloud-First solution primarily leveraging Microsoft Azure PaaS services.
This was a huge step forward from their on-prem hosted Classic ASP application to .Net Core/Angular stack using various Azure services such as AppServices / AKS / Azure Function, CosmosDB, SQL Azure based solution. Not only did PeopleStreme manage to provide their users with much faster and reliable experience, they could also deploy to production more often and obtain a greater security posture.
Legacy applications that are resource-intensive and inflexible can hinder the effectiveness of your technology architecture. If you are looking to be more agile in how you respond to market trends, maintain low TCO, and increase your market share, App Modernization is the way to go. App modernization is the ideal way to transform your legacy systems into a more productive cloud-driven technology architecture.
Kodez takes care of App Modernization at all levels. Whether you want to take a phased approach of on-prem plus cloud or a completely cloud led approach, we can help you. Our goal is not only to modernize your apps. We want to make sure that the improvements to your technology architecture lead to business growth!
Thanks to our expertise in Amazon EC2, AWS Lambda and CI/CD we have helped customers at every stage of their App Modernization journey. A success story we take pride in was helping Seek Business move 100% into the cloud, saying goodbye to their old legacy tech stack. We helped them migrate one massive monolith application into smaller microservices hosted as AWS Lambda functions. The secret to any successful App Modernization journey is to get the DevOps story right. By running a solid CI/CD setup, the process of deploying on production was much simpler and faster. The dev teams loved us for it! In the end, our customer had a smoothly functioning market place, backed by an optimized cloud-first tech stack.
In another great success story, we helped PeopleStreme rewrite their HR application as Cloud-First solution primarily leveraging Microsoft Azure PaaS services. It was a huge step forward from their on-prem hosted Classic ASP application to .Net Core/Angular stack using various Azure services such as AppServices / AKS / Azure Functions, CosmosDB and SQL Azure based solution. Not only did PeopleStreme provide their users with a much faster and reliable experience, but they could also deploy to production more often and with better security.
You might survive on a legacy stack today, but think about where you want to be in the future. As competition intensifies and customers look to you for products that make their lives easier, you don't want your technology stack getting in the way of innovation. Your technology stack must be able to scale and adapt accordingly. Start with your apps as the first step towards being digital-first. We will help you make friends with the cloud and will be there to guide your app modernization journey from start to finish.
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.
Since instant messaging applications being popular among the users, embedding conversational agents or the Chatbots with such services are essential for better user experience.