AWS Disaster Recovery
SEPTEMBER 16, 2021
The workload has a recovery time objective (RTO) and a recovery point objective (RPO). RPO is the maximum acceptable amount of time since the last data recovery point. This architecture enables customers facing challenges of cost overhead with redundant Session Initiation Protocol (SIP) trunks for the DC and DR sites.
Zerto
MARCH 15, 2023
SREs can set up customer service-level agreements (SLAs) that will trigger when prompted during a disruption, automating the recovery and bringing the application back online. This eliminates the need for manual intervention and reduces the risk of human error when initiating a failover.
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Pure Storage
JULY 28, 2021
But it’s important to look beyond the immediate need and focus on the real business case this surge in data presents. It presents an opportunity to redefine your architecture. And to take advantage of a Modern Data Experience™ that can handle data demands today—and tomorrow.
AWS Disaster Recovery
APRIL 5, 2021
We use the following objectives: Recovery time objective (RTO) : The maximum acceptable delay between the interruption of service and restoration of service. Recovery point objective (RPO) : The maximum acceptable amount of time since the last data recovery point. Recovery objectives: RTO and RPO. Pilot light.
AWS Disaster Recovery
APRIL 26, 2021
For your recovery Region, you should use a different AWS account than your primary Region, with different credentials. Failover and cross-Region recovery with a multi-Region backup and restore strategy. To reduce recovery time, detection should be automated. Disaster recovery options in the cloud whitepaper.
Zerto
SEPTEMBER 12, 2023
The standby servers act as a ready-to-go copy of the application environment that can be a failover in case the primary (active) server becomes disconnected or is unable to service client requests. An active-active cluster architecture is actively running the same service simultaneously on two or more nodes.
Pure Storage
JULY 14, 2022
Configuration management lets engineering teams create stable and robust systems via tools that automatically manage and monitor updates to configuration data. Each service in a microservice architecture, for example, uses configuration metadata to register itself and initialize.
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