Cloud Engineer GCP

Day 18 – High Availability & Failover in GCP Applications

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High Availability (HA) and failover strategies are critical for building resilient cloud applications. Google Cloud Platform (GCP) provides a suite of services and configurations to ensure minimal downtime, data integrity, and uninterrupted user experience even during failures.
At Curiosity Tech, engineers are trained to design and implement HA architectures that combine redundancy, load balancing, automated failover, and multi-region deployment, preparing applications for enterprise-scale workloads.

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Day 14 – Hands-On Project: Hosting a Static Website on GCP

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Hosting a static website on Google Cloud Platform (GCP) is a foundational exercise for cloud engineers to understand storage, networking, and serverless deployment concepts. Static websites consist of HTML, CSS, and JavaScript files without a backend database. Leveraging GCP’s Cloud Storage, Cloud CDN, and Load Balancing allows engineers to deploy highly scalable, cost-efficient, and secure websites.

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Day 21 – Hybrid Cloud with Anthos: Multi-Cloud Deployment on GCP

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Introduction In today’s enterprise landscape, organizations increasingly adopt hybrid and multi-cloud strategies to avoid vendor lock-in, optimize costs, and achieve scalable, resilient infrastructure.Google Cloud’s Anthos enables seamless deployment and management of applications across on-premises, GCP, and other cloud providers—providing consistent operations, security, and policy enforcement.At CuriosityTech.in, engineers are trained to implement hybrid cloud architectures with

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Day 17 – Cost Optimization Strategies for Google Cloud Engineers

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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

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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 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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