Tag: Azure
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Digital public services: How to drive transformation with change agents
Digital public services are an imperative. Learn how ‘change agents’ can help the public sector to digitally transform with the Microsoft Change Agent training programme in June 2023.
A Risk-Based Framework for Legacy System Migration and Deprecation
Lavan Nallainathan presents a risk-based framework for categorising components during legacy system migration or deprecation.
​​​Securing the Code to Cloud Pipeline with GitHub and Azure​
We dive into the two widely-used platforms Microsoft offers for implementing DevOps practices – Azure DevOps and GitHub. Common mistakes to avoid when deploying to Azure Web App
In this blog post we share some of the common mistakes that we see developers make when deploying to Azure Web App.
What is a ‘security culture’? Best practices for implementing your security strategy
Over 100 million attacks against remote management devices were observed in May 2022. Today, a Zero Trust security approach is crucial in a world of remote work.
How to future-proof your business: a CFO’s-eye view Â
At times of economic turmoil, chief financial officers (CFOs) are under even more pressure than usual to manage risk and drive resilience. That means managing their organisations’ profit and loss, cutting overheads, and otherwise reducing costs while planning for the future. The way forward for getting your P&L in line is to drive revenue. New Azure features and functionality for February​ 2023
Just in case you’ve missed something, we’ve collected all of the Azure updates from last month in one place. Give the list a read through, as there’s a wealth of exciting new functions and updates to check out!
Enforcing Azure Active Directory security via Continuous Access Evaluation
Microsoft’s Azure AD Identity Protection and Azure AD Conditional Access provides the ability to monitor user sign-in attempts and analyse them for risk.
A Closer Look at Azure Kubernetes Service
Azure Kubernetes Service (AKS) manages your hosted Kubernetes environment and makes it simple to deploy and manage containerized applications in Azure. Simplifying ML Deployment with Azure’s Managed Endpoints
Deploying machine learning models in the cloud is becoming more crucial, but it can be very difficult to know where to start.