SERVER REPLICATION
Server replication is making exact copies of data or servers on multiple systems. In this setup, there's a main server (primary) and other servers (replicas) that mirror it. Any changes to the primary server get copied to the replicas instantly or at scheduled times. This duplication ensures data reliability and high availability in computing systems.
WHY DO I NEED TO REPLICATE MY SERVERS?
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Server replication often involves setting up and managing complex configurations, especially in large-scale environments. The process requires careful planning, coordination, and monitoring to ensure the replication is functioning correctly.
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Replicating servers requires additional hardware, storage, and network resources. Scaling replication to handle increasing workloads and data growth can lead to higher costs, both in terms of infrastructure and operational expenses.
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Replicating servers introduces additional security concerns. Protecting replicated data from unauthorised access, ensuring secure data transfers, and maintaining consistent security measures across all replicas can be complex.
Ezynode functions as a data traffic controller, swiftly deploying backup and replication servers on Amazon AWS cloud within minutes of a disaster.
How does Ezynode manage backup and replicate servers?
FACT:
MICROSOFT ENSURES YOUR DATA IS PROTECTED BUT IT DOESN’T MEAN THEY REPLICATE YOUR DATA
During disasters, like natural events or cybersecurity threats, if your operations stop and data becomes inaccessible, continuous data replication keeps your data synced between systems, ensuring the target always mirrors the source in real time. Ezynode uses this backup feature during disasters, deploying backup environments quickly. This means employees can access their files and data without interruption.
Reasons why Server Replication is important?
Server replication is a crucial aspect of modern computing systems, particularly in the context of ensuring high availability and data reliability.
Fault Tolerance
Load Balancing
Data Redundancy and Recovery
Scalability
Geographic Distribution
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