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In today's cloud-driven landscape, addressing latency and ensuring redundancy in multi-server environments is crucial. This guide explores the challenges and solutions associated with cloud redundancy, including database replication, load balancing across app servers, caching mechanisms, and shared file systems. Learn how cloud technologies, such as Amazon RDS and Elastic Load Balancing, streamline these processes, while also highlighting potential pitfalls like network proximity issues and zone failures. Optimize your cloud strategy for improved performance and reliability.
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Multi-Server Cloud Environments How to fight latency and add redundancy
Stop me if this is familiar <Person a> We need a redundant system. <Person b> The Cloud! I heard that makes it easy! <Person a> Perfect, let’s get IT to make that happen, next order of business... … later that week... <IT> $@%$@# this is hard, why doesn’t the cloud make this easy?!
Complications of Cloud Redundancy • Database Replication and port over • Load Balancing App Servers • Search (SOLR, Sphinx) Scalability and Redundancy • Caching Servers • Shared File Systems
How does the cloud make it easier • Easy to replace damaged “hardware” • Easy to test software changes with temporary servers • Easy to test OS upgrades and switch out • Easy to upgrade “hardware”
How does the cloud make it harder • Hard to predict network proximity • Persistence • Whole Zone Failures
Amazon RDS • Multi-AZ • Point-In-Time Restore • Automatic Replication • Seamless Hardware Upgrades • Automatic Maintenance and Patches
Elastic Load Balancer • Really simple load balancing • Multi-Server redundant • Actually cheaper than a small instance • Server Monitoring built in • Lightning Fast packet level balancing
CloudSearch • Really fast Search • Automatic vertical and horizontal scaling • Basically all core SOLR features • Many plugin SOLR features too • Easy API