Replication & Failover
Quality Thoughts – Best GCP Cloud Engineering Training Institute in Hyderabad
Looking to become a certified GCP Cloud Engineer? Quality Thoughts in Hyderabad is your ideal destination. Our GCP Cloud Engineering course is tailored for graduates, postgraduates, working professionals, and even those from non-technical backgrounds or with educational gaps. We offer a strong foundation in Google Cloud Platform (GCP) through hands-on, real-time learning guided by certified cloud experts.
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Get access to flexible batch timings, mock interviews, resume building, and placement support. Join roles like Cloud Engineer, Data Engineer, or GCP DevOps Expert after completion.
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GCP Fundamentals + Advanced Topics
Live Projects & Data Pipelines
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Replication & Failover
Replication and failover are critical strategies for ensuring high availability, data durability, and disaster recovery in modern IT systems.
Replication is the process of copying and maintaining data across multiple servers or locations. It can be synchronous (real-time copying, ensuring data consistency but may affect performance) or asynchronous (delayed copying, offering better performance but slight data loss risk during failure). Replication helps in load balancing, backup, and geographical distribution of data. In databases like MySQL, PostgreSQL, or SQL Server, replication ensures data is continuously synced from a primary server to one or more secondary replicas.
Failover is the automatic switching to a standby system or replica when the primary system fails. This process minimizes downtime and ensures continuity of services. Failover can be manual, semi-automatic, or automatic, depending on the system's architecture and recovery requirements. Cloud platforms like Azure, AWS, and GCP provide built-in failover mechanisms in services such as SQL Database, App Services, and VMs.
Together, replication and failover enhance system resilience, maintain business continuity, and reduce the risk of data loss or service interruption. They are essential components in mission-critical applications, especially in finance, healthcare, and e-commerce where uptime and data integrity are non-negotiable.
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