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Synchronous replication vs asynchronous replication

Evidian SafeKit

Data loss or not on application failover?

There is a significant difference between synchronous replication vs asynchronous replication. According the choice, you may have data loss on application failover.

Synchronous replication as implemented by the SafeKit software is essential for failover of transactional applications. With synchronous replication, all committed data on the disk of the primary server are on the disk of the secondary server. With asynchronous replication, committed data on the disk of the primary server can be lost in case of failure because not copied to the secondary server. There is also an alternative solution named semi-synchronous replication, with committed data on the secondary server but not necessary on its disk.

To help you to take the right decision if you have to choose between synchronous replication vs asynchronous replication, we explain now the technical mechanisms and the impact on application failover.

Synchronous replication versus asynchronous replication means data loss or not on failover.

Synchronous replication

With synchronous replication as implemented by SafeKit, when a disk IO is performed by the application or by the file system cache on the primary server, SafeKit waits for the IO acknowledgement from the local disk and from the secondary server, before sending the IO acknowledgement to the application or to the file system cache. This mechanism is essential for failover of transactional applications when they commit their transactions.

Asynchronous replication

With asynchronous replication as implemented by Carbonite Double Take, the IOs are placed in a queue on the primary server but the primary server does not wait for the IO acknowledgments of the secondary server. So, all data that did not have time to be copied across the network on the secondary server is lost if the primary server fails. In particular, a transactional application loses committed transactions in case of failure.

Semi-synchronous replication

With semi-synchronous replication, SafeKit always waits for the acknowledgement of the two servers before sending the acknowledgement to the application or the file system cache. But in the semi-synchronous case, the secondary sends the acknowledgement to the primary upon receipt of the IO and writes to disk after. In the synchronous case, the secondary writes the IO to disk and then sends the acknowledgement to the primary.

Conclusion

With asynchronous replication, there is data loss on failure. Even with the semi-synchronous replication, there is data loss in the special case of a simultaneous double power outage of both servers, with inability to restart on the former primary server and the requirement to re-start on the secondary server. So be very careful when choosing synchronous replication vs asynchronous replication. Always prefer a synchronous or a semi-synchronous replication for a critical application.

Video: Synchronous replication vs asynchronous replication >

How the SafeKit mirror cluster works?

Step 1. Real-time replication

Server 1 (PRIM) runs the application. Clients are connected to a virtual IP address. SafeKit replicates in real time modifications made inside files through the network.

File replication at byte level in a mirror cluster

The replication is synchronous with no data loss on failure contrary to asynchronous replication.
You just have to configure the names of directories to replicate in SafeKit. There are no pre-requisites on disk organization. Directories may be located in the system disk.

Step 2. Automatic failover

When Server 1 fails, Server 2 takes over. SafeKit switches the virtual IP address and restarts the application automatically on Server 2.
The application finds the files replicated by SafeKit uptodate on Server 2. The application continues to run on Server 2 by locally modifying its files that are no longer replicated to Server 1.

Failover in a mirror cluster

The failover time is equal to the fault-detection time (30 seconds by default) plus the application start-up time.

Step 3. Automatic failback

Failback involves restarting Server 1 after fixing the problem that caused it to fail.
SafeKit automatically resynchronizes the files, updating only the files modified on Server 2 while Server 1 was halted.

Failback in a mirror cluster

Failback takes place without disturbing the application, which can continue running on Server 2.

Step 4. Back to normal

After reintegration, the files are once again in mirror mode, as in step 1. The system is back in high-availability mode, with the application running on Server 2 and SafeKit replicating file updates to Server 1.

Return to normal operation in a mirror cluster

If the administrator wishes the application to run on Server 1, he/she can execute a "swap" command either manually at an appropriate time, or automatically through configuration.

Typical usage with SafeKit

Why a replication of a few Tera-bytes?

Resynchronization time after a failure (step 3)

  • 1 Gb/s network ≈ 3 Hours for 1 Tera-bytes.
  • 10 Gb/s network ≈ 1 Hour for 1 Tera-bytes or less depending on disk write performances.

Alternative

Why a replication < 1,000,000 files?

  • Resynchronization time performance after a failure (step 3).
  • Time to check each file between both nodes.

Alternative

  • Put the many files to replicate in a virtual hard disk / virtual machine.
  • Only the files representing the virtual hard disk / virtual machine will be replicated and resynchronized in this case.

Why a failover ≤ 32 replicated VMs?

  • Each VM runs in an independent mirror module.
  • Maximum of 32 mirror modules running on the same cluster.

Alternative

  • Use an external shared storage and another VM clustering solution.
  • More expensive, more complex.

Why a LAN/VLAN network between remote sites?

Alternative

  • Use a load balancer for the virtual IP address if the 2 nodes are in 2 subnets (supported by SafeKit, especially in the cloud).
  • Use backup solutions with asynchronous replication for high latency network.

Comparison of SafeKit with Traditional High Availability (HA) Clusters

How does SafeKit compare to traditional High Availability (HA) cluster solutions?

This comparison highlights the fundamental differences between SafeKit and traditional High Availability (HA) cluster solutions like Failover Clusters, Virtualization HA, and SQL Always-On. SafeKit is designed as a low-complexity, software-only solution for generic application redundancy, contrasting with the high complexity and specific storage requirements (shared storage, SAN) typical of traditional HA mechanisms.
Comparison of SafeKit with traditional High Availability (HA) clusters
Solutions Complexity Comments
Failover Cluster (Microsoft) High Specific Storage (shared storage, SAN)
Virtualization (VMware HA) High Specific Storage (shared storage, SAN, vSAN)
SQL Always-On (Microsoft) High Only SQL is redundant, requires SQL Enterprise Edition
Evidian SafeKit Low Simplest, generic and software-only. Unsuitable for large data replication.

SafeKit's Advantage in Application Redundancy

SafeKit achieves its low-complexity High Availability through a simple, software-based mirroring mechanism that eliminates the need for expensive, dedicated hardware like a SAN (Storage Area Network). This makes it a highly accessible solution for quickly implementing application redundancy without complex infrastructure changes.

SafeKit High Availability (HA) Solutions: Quick Installation Guides for Windows and Linux Clusters

This table presents the SafeKit High Availability (HA) solutions, categorized by application and operating environment (Databases, Web Servers, VMs, Cloud). Identify the specific pre‑configured .safe module (e.g., mirror.safe, farm.safe, and others) required for real‑time replication, load balancing, and automatic failover of critical business applications on Windows or Linux. Simplify your HA cluster setup with direct links to quick installation guides, each including a download link for the corresponding .safe module.

A SafeKit .safe module is essentially a pre‑configured High Availability (HA) template that defines how a specific application will be clustered and protected by the SafeKit software. In practice, it contains a configuration file (userconfig.xml) and restart scripts.

SafeKit High Availability (HA) Solutions: Quick Installation Guides (with downloadable .safe modules)
Application Category HA Scenario (High Availability) Technology / Product .safe Module Installation Guide
New Applications Real-Time Replication and Failover Windows mirror.safe View Guide: Windows Replication
New Applications Real-Time Replication and Failover Linux mirror.safe View Guide: Linux Replication
New Applications Network Load Balancing and Failover Windows farm.safe View Guide: Windows Load Balancing
New Applications Network Load Balancing and Failover Linux farm.safe View Guide: Linux Load Balancing
Databases Replication and Failover Microsoft SQL Server sqlserver.safe View Guide: SQL Server Cluster
Databases Replication and Failover PostgreSQL postgresql.safe View Guide: PostgreSQL Replication
Databases Replication and Failover MySQL mysql.safe View Guide: MySQL Cluster
Databases Replication and Failover Oracle oracle.safe View Guide: Oracle Failover Cluster
Databases Replication and Failover Firebird firebird.safe View Guide: Firebird HA
Web Servers Load Balancing and Failover Apache apache_farm.safe View Guide: Apache Load Balancing
Web Servers Load Balancing and Failover IIS iis_farm.safe View Guide: IIS Load Balancing
Web Servers Load Balancing and Failover NGINX farm.safe View Guide: NGINX Load Balancing
VMs and Containers Replication and Failover Hyper-V hyperv.safe View Guide: Hyper-V VM Replication
VMs and Containers Replication and Failover KVM kvm.safe View Guide: KVM VM Replication
VMs and Containers Replication and Failover Docker mirror.safe View Guide: Docker Container Failover
VMs and Containers Replication and Failover Podman mirror.safe View Guide: Podman Container Failover
VMs and Containers Replication and Failover Kubernetes K3S k3s.safe View Guide: Kubernetes K3S Replication
AWS Cloud Real-Time Replication and Failover AWS mirror.safe View Guide: AWS Replication Cluster
AWS Cloud Network Load Balancing and Failover AWS farm.safe View Guide: AWS Load Balancing Cluster
GCP Cloud Real-Time Replication and Failover GCP mirror.safe View Guide: GCP Replication Cluster
GCP Cloud Network Load Balancing and Failover GCP farm.safe View Guide: GCP Load Balancing Cluster
Azure Cloud Real-Time Replication and Failover Azure mirror.safe View Guide: Azure Replication Cluster
Azure Cloud Network Load Balancing and Failover Azure farm.safe View Guide: Azure Load Balancing Cluster
Physical Security / VMS Real-Time Replication and Failover Milestone XProtect milestone.safe View Guide: Milestone XProtect Failover
Physical Security / VMS Real-Time Replication and Failover Nedap AEOS nedap.safe View Guide: Nedap AEOS Failover
Physical Security / VMS Real-Time Replication and Failover Genetec (SQL Server) sqlserver.safe View Guide: Genetec SQL Failover
Physical Security / VMS Real-Time Replication and Failover Bosch AMS (Hyper-V) hyperv.safe View Guide: Bosch AMS Hyper-V Failover
Physical Security / VMS Real-Time Replication and Failover Bosch BIS (Hyper-V) hyperv.safe View Guide: Bosch BIS Hyper-V Failover
Physical Security / VMS Real-Time Replication and Failover Bosch BVMS (Hyper-V) hyperv.safe View Guide: Bosch BVMS Hyper-V Failover
Physical Security / VMS Real-Time Replication and Failover Hanwha Vision (Hyper-V) hyperv.safe View Guide: Hanwha Vision Hyper-V Failover
Physical Security / VMS Real-Time Replication and Failover Hanwha Wisenet (Hyper-V) hyperv.safe View Guide: Hanwha Wisenet Hyper-V Failover
Siemens Products Real-Time Replication and Failover Siemens Siveillance suite (Hyper-V) hyperv.safe View Guide: Siemens Siveillance HA
Siemens Products Real-Time Replication and Failover Siemens Desigo CC (Hyper-V) hyperv.safe View Guide: Siemens Desigo CC HA
Siemens Products Real-Time Replication and Failover Siemens Siveillance VMS SiveillanceVMS.safe View Guide: Siemens Siveillance VMS HA
Siemens Products Real-Time Replication and Failover Siemens SiPass (Hyper-V) hyperv.safe View Guide: Siemens SiPass HA
Siemens Products Real-Time Replication and Failover Siemens SIPORT (Hyper-V) hyperv.safe View Guide: Siemens SIPORT HA
Siemens Products Real-Time Replication and Failover Siemens SIMATIC PCS 7 (Hyper-V) hyperv.safe View Guide: SIMATIC PCS 7 HA
Siemens Products Real-Time Replication and Failover Siemens SIMATIC WinCC (Hyper-V) hyperv.safe View Guide: SIMATIC WinCC HA