Category: TECH

Serverless GPU Architectures: Utilising Cloud Functions and Dynamic GPU Scaling for Cost-Effective Hosting of Inference Endpoints

Hosting modern AI inference can become expensive quickly, especially when your endpoint needs GPUs, low latency, and high availability. The typical approach—keeping GPU instances running 24/7—works, but it wastes money during quiet hours and makes it harder to scale predictably during spikes. A serverless GPU architecture aims to solve this by allocating GPU capacity only […]

READ MORE

Mobile Testing Trends: Multi-Device, Cross-Platform Automation

Mobile applications have become the primary interface between businesses and users. From banking and shopping to health and entertainment, users expect mobile apps to work flawlessly across devices, operating systems, and network conditions. This expectation has reshaped how quality assurance teams approach testing. Manual testing on a handful of devices is no longer sufficient. Modern […]

READ MORE

Scope Validation and Formal Acceptance Criteria: Ensuring Deliverables Meet Stakeholder Expectations

Completing a project does not automatically mean it has been accepted. Many projects reach the final stages only to encounter delays, rework, or disputes because stakeholders have not formally agreed that the deliverables meet the defined requirements. Scope validation and formal acceptance criteria are in place to prevent this situation. They provide a structured process […]

READ MORE

LLM-Powered Documentation: Auto-Updating Runbooks & Playbooks

Operational documentation has always been essential in DevOps, yet it is often the most neglected asset. Runbooks and playbooks are created with care, only to become outdated as systems evolve, tools change, and processes mature. This gap between real-world operations and written guidance leads to slower incident response, inconsistent handling, and avoidable errors. Large Language […]

READ MORE