Category: MLOps & Deployment

Kubernetes Hardening

Kubernetes hardening refers to the process of securing a Kubernetes environment by applying best practices and configuration adjustments. This involves reducing vulnerabilities, limiting access, and protecting workloads from unauthorised use or attacks. Hardening covers areas such as network security, user authentication, resource permissions, and monitoring. By hardening Kubernetes, organisations can better protect their infrastructure, data,…

Memory-Constrained Inference

Memory-constrained inference refers to running artificial intelligence or machine learning models on devices with limited memory, such as smartphones, sensors or embedded systems. These devices cannot store or process large amounts of data at once, so models must be designed or adjusted to fit within their memory limitations. Techniques like model compression, quantisation and streaming…

DevSecOps

DevSecOps is a way of working that brings together development, security, and operations teams to create software. It aims to make security a shared responsibility throughout the software development process, rather than something added at the end. By doing this, teams can find and fix security issues earlier and build safer applications faster.

Data Pipeline Automation

Data pipeline automation is the process of setting up systems that move and transform data from one place to another without manual intervention. It involves connecting data sources, processing the data, and delivering it to its destination automatically. This helps organisations save time, reduce errors, and ensure that data is always up to date.