bhavesh barange

Day 20 – AI & ML in Multi-Cloud: Leveraging Cloud-Native AI Tools

Leave a Comment / Cloud Engineer Multi Cloud /

Section 1 – The Multi-Cloud AI Landscape Here’s a comparative landscape of what the big three offer: Category AWS Azure GCP Core ML Platform SageMaker (training, deployment, pipelines) Azure Machine Learning Vertex AI (end-to-end ML) Generative AI Bedrock (foundation models via API) Azure OpenAI Service Vertex AI GenAI Studio + PaLM models Data Services Redshift […]

Day 20 – AI & ML in Multi-Cloud: Leveraging Cloud-Native AI Tools Read More »

, ,

Day 16 – Serverless in Multi-Cloud: Combining AWS Lambda, Azure Functions & GCP Functions

Leave a Comment / Cloud Engineer Multi Cloud /

Introduction Imagine this: A fintech company handles millions of micro-transactions daily. Their engineers don’t want to manage servers. They want functions that scale instantly, cost only when used, and integrate across AWS, Azure, and GCP. That’s the promise of serverless computing. In single-cloud, serverless is straightforward. But in multi-cloud environments, things get exciting: At CuriosityTech.in,

Day 16 – Serverless in Multi-Cloud: Combining AWS Lambda, Azure Functions & GCP Functions Read More »

, ,

Day 16 – Serverless & DevOps: AWS Lambda, Azure Functions, GCP Functions

Leave a Comment / DevOps Engineer /

Serverless computing has revolutionized the way developers build and deploy applications. By abstracting infrastructure management, serverless platforms like AWS Lambda, Azure Functions, and GCP Cloud Functions allow DevOps engineers to focus on code, logic, and business value. At CuriosityTech.in, we train engineers to integrate serverless architectures seamlessly into CI/CD pipelines and cloud-based DevOps workflows. What

Day 16 – Serverless & DevOps: AWS Lambda, Azure Functions, GCP Functions Read More »

, , , , , , ,

Day 16 – CI/CD with Cloud Build & Artifact Registry in GCP

Leave a Comment / Cloud Engineer GCP /

Introduction In modern cloud engineering, Continuous Integration (CI) and Continuous Deployment (CD) pipelines are essential for delivering robust, error-free applications quickly and consistently. Google Cloud Platform provides Cloud Build and Artifact Registry to streamline CI/CD for containerized and serverless applications. At Curiosity Tech, engineers are trained to design, implement, and optimize CI/CD pipelines, enabling rapid

Day 16 – CI/CD with Cloud Build & Artifact Registry in GCP Read More »

, , , , , ,

Day 16 – Azure DevOps Tools: Pipelines, Repos & Boards Overview

Leave a Comment / Cloud Engineer Azure /

Introduction Azure DevOps is a comprehensive suite for managing the entire software development lifecycle. It allows cloud engineers and developers to plan, build, test, and deploy applications efficiently. Understanding Pipelines, Repos, and Boards is crucial to implement continuous integration, continuous delivery, and agile project management in Azure. At curiositytech.in, learners gain hands-on experience integrating DevOps

Day 16 – Azure DevOps Tools: Pipelines, Repos & Boards Overview Read More »

, , , ,

Day 12 – Monitoring & Insights with Azure Monitor & Log Analytics

Leave a Comment / Cloud Engineer Azure /

Introduction Effective monitoring is essential for maintaining cloud application performance, reliability, and security. Azure provides Azure Monitor and Log Analytics, a comprehensive monitoring and diagnostics suite for observing metrics, logs, and alerts across your cloud infrastructure. At curiositytech.in, learners gain hands-on expertise in monitoring cloud environments, analyzing telemetry data, and configuring actionable alerts to ensure

Day 12 – Monitoring & Insights with Azure Monitor & Log Analytics Read More »

, , ,