October 2025

Illustration of a multi-cloud architecture showing different cloud providers interconnected for enterprise use.

Day 17 – Cost Optimization Strategies for Google Cloud Engineers

Introduction As organizations scale their workloads in Google Cloud Platform (GCP), controlling costs becomes a critical responsibility for cloud engineers. Cloud resources can quickly accumulate expenses if not monitored and optimized properly. Cost optimization is not just about reducing bills—it’s about maximizing value while maintaining performance, availability, and reliability.At CuriosityTech.in, engineers are trained to analyze, […]

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Illustration of a multi-cloud architecture showing different cloud providers interconnected for enterprise use.

Day 17 – Cost Optimization Strategies for AWS Cloud Engineers

Introduction: On Day 17, we focus on AWS cost optimization, an essential skill for cloud engineers. Managing costs efficiently ensures organizations maximize ROI, avoid unnecessary expenses, and maintain scalable and sustainable cloud architectures.At CuriosityTech.in, learners understand that cost optimization is not just about spending less—it’s about intelligent resource planning, automation, and continuous monitoring. 1. Understanding

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Day 1 of a 26-day 'Zero to Hero' guide for becoming a Multi-Cloud Engineer. The title reads 'What is Multi-Cloud? A Beginner's Guide for Engineers' with logos for Google Cloud and Azure shown below.

Day 17 – Cost Management & Optimization in Azure

Introduction Managing costs efficiently in the cloud is crucial for both startups and large enterprises. Azure provides Cost Management and Billing tools to monitor, analyze, and optimize cloud expenditure. Understanding cost drivers, setting budgets, and implementing optimization strategies can reduce waste, improve ROI, and enable sustainable cloud adoption. At curiositytech.in, learners get hands-on experience analyzing

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Day 1 of a 26-day 'Zero to Hero' guide for becoming a Multi-Cloud Engineer. The title reads 'What is Multi-Cloud? A Beginner's Guide for Engineers' with logos for Google Cloud and Azure shown below.

Day 13 – Kubernetes as the Backbone of Multi-Cloud Deployment

Whiteboard Introduction: Imagine a whiteboard with AWS on the left, GCP on the right, and Azure at the top. In the center, we draw Kubernetes clusters. The question:“How can we run workloads across different clouds without changing apps for each one?” The answer:Kubernetes (K8s) is the key — it acts as a common control system

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Day 1 of a 26-day 'Zero to Hero' guide for becoming a Multi-Cloud Engineer. The title reads 'What is Multi-Cloud? A Beginner's Guide for Engineers' with logos for Google Cloud and Azure shown below.

Day 13 – Google Cloud Security: Best Practices for Engineers:

Introduction Security is the foundation of any robust cloud deployment. In Google Cloud Platform (GCP), engineers must implement end-to-end security across infrastructure, applications, and data. Misconfigurations or overlooked vulnerabilities can lead to costly breaches, downtime, or compliance violations.Google Cloud Security encompasses identity management, data protection, network security, threat detection, and compliance. At Curiosity Tech, we

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A promotional graphic for a "Zero to Hero in 26 Days" course focused on becoming a Cloud Engineer (Azure). The left side includes the CuriosityTech logo, a cloud icon, and text comparing Azure vs AWS vs GCP, asking which cloud platform to choose. The right side displays a holographic Azure logo and cloud imagery.

Day 13 – Cloud Platforms for DevOps: AWS, Azure & GCP

Information: Modern DevOps heavily relies on cloud platforms to provide scalable, flexible, and automated infrastructure. AWS, Microsoft Azure, and Google Cloud Platform (GCP) are the three dominant cloud providers, each offering unique tools and services for DevOps workflows. At CuriosityTech.in, we focus on helping engineers understand the strengths, differences, and practical applications of each platform

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