Resolve cloud incidents faster with the AI Incident Investigator — an agent that finds the root cause of production issues and explains them in plain English.
Align your AI pipelines with OWASP AI Testing principles using identity-based insights to monitor, enforce, and audit secrets and token usage best practices.
Learn to integrate Semantic Kernel with Azure OpenAI and MCP to discover tools, register them as functions, and enable AI agents to invoke them dynamically.
Learn how a GenAI team improved performance by 20% in 3 months—without more tools or pressure, but with systems, clarity, and smarter product decisions.
This article explores the journey of building SQLGenie, testing various Language Models (LLMs) to find the optimal solution for converting natural language to SQL queries
Learn to build a secure GCP stack using a custom VPC, VM with private access, managed Cloud SQL PostgreSQL, and BigQuery for real-time federated queries.
A bitter developer plants a hidden kill switch, exposing the dangers of insider threats and how a single line of code can cripple entire systems from within.
Learn how to set up a zero-ETL integration from Amazon RDS for MySQL to Amazon Redshift using AWS CLI for real-time analytics without complex pipelines.
This article explores how teams are measuring energy usage, optimizing pipelines, and deploying eco-conscious applications using modern tools and techniques.
We share how we built a secure, compliant cloud on Azure for healthcare clients using native services like RBAC, CMK encryption, and policy enforcement.
Trustworthy ML needs more than dashboards — it relies on layered systems with monitoring, testing, and statistical tools to ensure reliable experimentation.
With the performance of VMs rapidly increasing, is weighing the benefits of containers running on VMs versus bare metal as straightforward as it used to be?