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Cloud Computing

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

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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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Day 13 – Azure Security Best Practices for Cloud Engineers

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Introduction Security is a non-negotiable aspect of cloud computing. Azure provides a comprehensive set of tools and best practices to secure applications, data, and infrastructure. Cloud engineers must master identity management, network security, data protection, and compliance to ensure enterprise-grade security. At curiosity tech, learners are trained with real-world threat modeling scenarios and hands-on labs,

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Day 13 – AWS Security Essentials: Encryption & Compliance

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Security is the foundation of cloud computing. On Day 13, we explore AWS security essentials, focusing on encryption, key management, compliance frameworks, and security best practices. At Curiosity Tech, learners understand that security isn’t just configuration—it’s designing systems that are secure by default, resilient, and compliant with industry standards. 1. AWS Shared Responsibility Model AWS

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Day 9 – Serverless Computing with Google Cloud Functions:

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Introduction Serverless computing is revolutionizing the way cloud engineers build and deploy applications. In a serverless model, developers focus entirely on writing code without worrying about infrastructure management, scaling, or server maintenance. Google Cloud Functions (GCF) is GCP’s fully managed serverless compute service that allows you to run event-driven functions in response to various triggers.At

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Day 9 – Monitoring & Observability in Multi-Cloud Environments

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Introduction Enterprises today are not bound to a single cloud. Applications run across AWS, Azure, and GCP simultaneously—a customer-facing app on AWS, internal data pipelines on Azure, and analytics workloads on GCP. While this provides resilience and flexibility, it introduces one of the toughest engineering challenges: monitoring and observability across multiple clouds. Imagine an e-commerce

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Day 9 – Elastic Load Balancing (ELB) & Auto Scaling for High Availability

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Introduction Building scalable and highly available applications on AWS requires more than just launching EC2 instances. Traffic spikes, regional failures, and uneven load distribution can affect performance. On Day 9, we dive deep into Elastic Load Balancing (ELB) and Auto Scaling, two key AWS services that enable resilient, fault-tolerant, and scalable cloud architectures. At Curiosity

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