AWS vs Azure vs Google Cloud: Comparing The Big 3 Platforms

Adi Rosenblum AWS, Azure, Cloud, Google Cloud Platform, Keyhole, Videos Leave a Comment

Cloud platforms now sit at the center of business planning. Many teams compare AWS for its wide service range, Azure for its ties to Microsoft, and Google Cloud for its strength in data and AI. Each option has its own role depending on how your systems are built. In the next sections, we’ll show where these platforms differ and call …

CI/CD for Legacy .NET Framework Apps: How to Automate Deployment Pipelines

Zach Gardner .NET, .NET Core, Azure, CI/CD, Cloud, DevOps, Modernization, Videos Leave a Comment

Outdated deployment practices can slow down even the best software teams. When you’re still manually moving files between servers, it’s easy for small mistakes to slip through and updates to take longer than they should. At Keyhole Software, we’ve seen firsthand how this approach can hold back your projects. The solution is to automate deployment pipelines. It brings consistency, reliability, …

How to Migrate Legacy Applications to AWS or Azure (With Real Examples)

Zach Gardner AWS, Azure, Cloud, Industry Relevance, Keyhole, Videos Leave a Comment

A familiar challenge for many businesses is knowing when it’s time to modernize. Legacy applications that once ran smoothly on in-house servers start to feel like a burden as competition increases and technology advances. At Keyhole Software, we help companies migrate legacy applications to AWS or Azure to stay ahead. We take what already works and move it to a …

Long-Running Workflows Made Simple With C# and Azure Durable Functions

Long-Running Workflows Made Simple with C# + Azure Durable Functions

Robert Rice Articles, Azure, C#, Financial, Tutorial Leave a Comment

It’s common to face challenges around long-running workflows, state management, and resiliency when you’re building cloud-native applications. Traditional approaches like background services or message queues might work sometimes, but they often require a lot of “glue code” and custom retry logic. This entails not only more work up-front for the developer, but also more maintenance in the long run.

That’s where Azure Durable Functions come in.

Header image that says Private AI Deployment for Organizations, with real world deployment takeaways of OpenAI on Azure and DeepSeek on AWS

DeepSeek v. OpenAI: Private AI Deployment Takeaways For Enterprise

Nathan Hawkins AI, Articles, AWS, Azure, Chat GPT, Cloud, Machine Learning Leave a Comment

As access to AI models has become more widely available and more and more people are using these tools on a regular basis, many organizations are interested in providing AI tools to their employees and customers. A key problem with the publicly available APIs is that they have varying levels of security and privacy that don’t always meet the needs …