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In need of greater efficiency, security and the support needed to be 5 steps ahead of your competition? We’ve got you. Our team is here to help you save the day, by strategically planning, developing and deploying your next digital transformation. Not to mention, offering support you can rely on when it’s needed most.
Kodez is a Cloud Native consultancy. We help customers across Australia to make best out of Public Cloud Infrastructure. Based in Melbourne, our team recognise key opportunities for greater efficiency, security and the optimisation of your products and systems for the future success of your company. Ensuring you stay up-to-date and online for your customers.
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"Amtek's relationship with Kodez over the past couple of years has been overwhelmingly beneficial. Working with Kodez has freed up our stakeholders to focus on delivering the best service to our customers without distraction, building significant revenue and reputation. We trust Kodez as our experts in the field to provide consistent results under a robust software development lifecycle where they take ownership and deliver quality output while giving honest updates and keeping us in the loop through regular meetings.We can't thank Kodez enough for what they've done for Amtek and are excited to see what we continue to produce together..”
"Kodez has been an integral part of Fitness Passports transformation strategy in providing guidance, design, implementation, and support for a range of solutions enabling us to provide innovation and automation to our suppliers and customers.The main differentiation from other suppliers is their flexibility and that Kodez is cloud agnostic with expertise in a range of platforms (Azure & AWS) and not solely focused on one technology stack.”
"Kodez helped us modernise our legacy architecture and deploy faster. From working through setting up a secure CI/CD process, migrating workloads to lambdas, setting up monitoring and alarms and coming up with a strategy to migrate user authentication to a 3rd party provider. These gave us a real leg up to move fully to the cloud and set a platform migrate our monolith to microservices.”
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.
