In today’s fast-moving software world, speed isn’t the only priority—security is just as critical. Companies that release quickly but ignore security often face costly breaches, downtime, and lost trust. This is where DevSecOps comes in. While DevOps focuses on connecting development and operations to deliver software faster, DevSecOps builds on this by embedding security into every step of the process. …
Deploying ML Models to Edge Devices with TensorFlow Lite and WebAssembly
Artificial intelligence is no longer limited to large data centers and high-powered servers. Today, more organizations are deploying ML models to edge devices such as smartphones, tablets, and IoT hardware. These devices work in environments where connectivity is not guaranteed and computing resources are restricted. By running models directly on edge hardware, businesses reduce latency, enable offline functionality, and improve …
CI/CD for Legacy .NET Framework Apps: How to Automate Deployment Pipelines
Outdated deployment practices can slow down even the best software teams.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)
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 …
LLMOps for Enterprises: Deploying Private Large Language Models at Scale
As organizations look to stay competitive in 2025, one area that can’t be ignored is LLMOps for enterprises. Large language models (LLMs) have become essential for automating tasks, improving productivity, and gaining insights from data. However, most conversations about LLMs focus on public cloud services or small-scale tools. For large enterprises, these solutions often fall short in security, scalability, and …