AWS Disaster Recovery
JUNE 23, 2021
My subsequent posts shared details on the backup and restore , pilot light, and warm standby active/passive strategies. In this post, you’ll learn how to implement an active/active strategy to run your workload and serve requests in two or more distinct sites. DR strategies: Multi-site active/active. DR strategies.
Pure Storage
JUNE 22, 2022
So, given its importance, you want to make sure you have a solid solution for ensuring it’s highly available or protected in the event of a disaster. Most SAP HANA customers today are using SAP HANA system replication (HSR) to ensure the high availability and disaster recovery systems remain in sync.
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Pure Storage
NOVEMBER 3, 2023
Active-active vs. Active-passive: Decoding High-availability Configurations for Massive Data Networks by Pure Storage Blog Configuring high availability on massive data networks demands precision and understanding. Now, let’s dive into Active-active vs. Active-passive.
Zerto
MARCH 15, 2023
SREs and DR DR refers to the processes, procedures, and technologies used to prepare for and recover from natural or man-made disasters that threaten the availability of critical systems. DR tries to minimize the impact a disaster has on applications, restoring them to a usable state as quickly as possible.
Pure Storage
JULY 19, 2022
But these are less applicable than they once were because what we were really talking about was the application. And the application had a 1:1 relationship with a virtual machine. . (1) 1) VM = (1) application. A given VM always equaled the same application. One VM does not equal one application.
AWS Disaster Recovery
JULY 27, 2021
In this blog post, we share a reference architecture that uses a multi-Region active/passive strategy to implement a hot standby strategy for disaster recovery (DR). With the multi-Region active/passive strategy, your workloads operate in primary and secondary Regions with full capacity. This keeps RTO and RPO low.
Pure Storage
AUGUST 23, 2023
They’re well-suited for applications with varying or evolving data structures, making them popular for content management, e-commerce, and real-time analytics. >> These databases are designed for massive scalability, making them ideal for time-series data, sensor data, and online applications with high write throughput.
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