NewOrbit works with Azure developers to review and improve the architecture for new and existing applications in order to get the most benefit from Azure.
There is no one-size-fits-all architecture for cloud-based applications. Every choice has trade-offs in terms of cost and time. We work with you to understand your business requirements and constraints so we can recommend the best fit for your situation, both from a business and a technical perspective.
Each step is outlined in more detail below, with example questions. We will ask you many more questions during the consultation. Do bear in mind that many of the questions are over the top for many scenarios; we will evaluate the appropriateness with you based on your specific context.
What do you need the system to do, when and how much do you want to spend?
Area | Example questions |
---|---|
Traffic |
|
Data |
|
Performance |
|
Resilience |
|
Constraints |
|
What, if anything, do you have now?
Area | Example questions |
---|---|
What is your application architecture? |
|
What does your infrastructure look like? |
|
What is your code like? |
|
What monitoring do you have in place? |
|
What about your team? |
|
As we go through the preceding sections, we will discuss various technology options with you. We usually discover some low-hanging fruit that can be put into place very quickly, as well as other things that will take longer and may end up on a product roadmap. We will help you to estimate the cost/benefit of the different options and prioritise accordingly.
ImplementIf desired, NewOrbit can help you to implement parts or all of the plan:
Discover how our Azure services have helped clients across industries tackle challenges and innovate faster:
One of the biggest misconceptions in AI today is how well it can actually predict things – especially things that are rare. This is most directly applicable to Machine Learning (as they are just statistical models) but the same principle applies to LLMs. The fundamental problem is the same and AI is not magic. In reality, AI’s predictive power is more complicated. One of the key challenges? False positives—incorrect detections that can significantly undermine the value of AI-driven decision-making. Let’s explore why this happens and how businesses can better understand AI’s limitations.
A quick case study on how I went from a Figma presentation to a working Svelte page in less than an hour – with the help of AI and some clever tooling.
As the European Accessibility Act (EAA) approaches its enforcement date on June 28, 2025, businesses must prioritise accessibility to ensure compliance and inclusivity. The EAA sets new standards for software, e-commerce, banking, digital devices, and more, aiming to make products and services accessible to all, including people with disabilities and the elderly. Non-compliance could lead to significant penalties across the EU. At NewOrbit, we believe that accessibility is not just a legal requirement—it’s good design. Take advantage of our free initial review to assess your compliance and stay ahead of the deadline.
020 3757 9100