Download Real Time Sync [PORTABLE]
Kompiler Reinertson
In real time as far as i know there's only DRBD. But I don't think it applies at your situation, since when you delete a file you'll delete it also on the external disk.More easily you can use rsync and a cron script that run every few minutes.
lsyncd seems to be the perfect solution. it combines inotify (kernel builtin function witch watches for file changes in a directory trees) and rsync (cross platform file-syncing-tool).
Lsyncd watches a local directory trees event monitor interface (inotify or fsevents). It aggregates and combines events for a few seconds and then spawns one (or more) process(es) to synchronize the changes. By default this is rsync. Lsyncd is thus a light-weight live mirror solution that is comparatively easy to install not requiring new filesystems or blockdevices and does not hamper local filesystem performance.
git-annex allows managing files with git, without checking the file contents into git. While that may seem paradoxical, it is useful when dealing with files larger than git can currently easily handle, whether due to limitations in memory, time, or disk space
Real-time Sync automatically synchronizes record changes from Zuora to Salesforce in real time. It monitors and listens to the record changes in Zuora database and synchronizes changed records to Salesforce once the number of record change events reaches the configured threshold. Because of this event-driven triggering, Real-time Sync synchronizes a small number of record changes more efficiently than Turbo Sync which requires a database scan to find the records changed. Real-time Sync uses Salesforce APIs.
Generally, Real-time Sync is a faster and more efficient way to sync records from Zuora to Salesforce. Turbo Sync starts to be faster than Real-time Sync when there are 10,000 events generated per minute.
A Turbo Sync session is automatically scheduled to run immediately before the first Real Time sync session runs. The Turbo Sync should complete with the "Finish" or "Finish with Errors" status at least once before the first Real-Time Sync session is triggered.
The Real-time Sync trigger settings determine when the next Real-time Sync job is automatically triggered. A sync job occurs when either of the following trigger condition is met, whichever comes first.
Now. every day I do some tutorials on PHP & whatever I learn, I push it to the Rough Codes Repo. And also I'm building a Project which is pushed to the Final Codes. These Repos are almost the same. What I do now is, Push to the 2 Repo Individually, the same thing twice in the different repo. Which is kinda boring.Is there any way to real-time sync between 2 repos? Like, If I upload/push to the Rough codes it will be auto added to the Final Codes ? I'm using Sourcetree to manage GitHub Repos on Windows OS.
FreeFileSync is an awesome freeware tool for files and folders synchronization and backup. It has a lot of premium-like features (but for free!) that no other freeware tool on the market can match today, and it even outmatches many premium backup & sync tools out there.
Of course, *.ffs_gui is straightforward to explain: it is simply a settings file of all the options you set in the main program (app) windows with graphical user interface (hence, _gui part), containing folder pairs, sync modes, exclusion list etc. In another words, this is simply a backup file of main program configuration.
Process monitors changes, and when the timer reaches predefined delay without any further changes activities, it runs the sync procedure automatically in the background. Then the new cycle runs, but if there are no changes made, there will be nothing to sync.
RealTimeSync receives change notifications directly from the operating system in order to avoid the overhead of repeatedly polling for changes. Each time a file or folder is created/updated/deleted in the monitored directories or their sub directories, RealTimeSync waits until a user-configurable idle time has passed in which no further changes were detected, and then runs the command line. This makes sure the monitored folders are not in heavy use when starting a synchronization.
The Mixmax Real-Time Sync (MX-RTS) from Salesforce package is built to get all your necessary updates into Mixmax in real time. This means that the package only handles traffic from Salesforce to Mixmax and not the other way around.
The MX-RTS package uses zero of your Salesforce API quota for its applicable portion of the bi-directional sync, sending information from Salesforce to Mixmax. API quota will only be used by individual users syncing their changes in the other direction, from Mixmax to Salesforce (i.e., updating records).
Note that recommendation here is not to use this business scenario to sync real time user sync from SAP SuccessFactors application to SAP IPS application due to known limitation issues. A deprecation process has been started on this and this KBA will be updated once the dates are announced.
The recommended way would be to trigger the sync from the IPS application as documented in the below section of the guide:
Running and Scheduling Jobs
Alternatively, please check out Manage Identity Authentication/Identity Provisioning Real Time Sync SAP Help Portal
Real-time analytics can help you make quick decisions and perform automated actions based on current insights. It can also help you deliver enhanced customer experiences. This solution describes how to keep Azure Synapse Analytics data pools in sync with operational data changes in MongoDB.
The following diagram shows how to implement real-time sync from Atlas to Azure Synapse Analytics. This simple flow ensures that any changes that occur in the MongoDB Atlas collection are replicated to the default Azure Data Lake Storage repository in the Azure Synapse Analytics workspace. After the data is in Data Lake Storage, you can use Azure Synapse Analytics pipelines to push the data to dedicated SQL pools, Spark pools, or other solutions, depending on your analytics requirements.
Real-time changes in the MongoDB Atlas operational data store (ODS) are captured and made available to Data Lake Storage in an Azure Synapse Analytics workspace for real-time analytics use cases, live reports, and dashboards.
Also, Microsoft Fabric unifies your data estate and makes it easier to run analytics and AI over the data, so you get insights quickly. Azure Synapse Analytics data engineering, data science, data warehousing, and real-time analytics in Fabric can now make better use of MongoDB data that's pushed to OneLake. You can use both Dataflow Gen2 and data pipeline connectors for Atlas to load Atlas data directly to OneLake. This no-code mechanism provides a powerful way to ingest data from Atlas to OneLake.
If you want a near real-time solution and you don't need the data to be synchronized in real time, using scheduled pipeline runs might be a good option. You can set up scheduled triggers to trigger a pipeline with the Copy activity or a data flow, at a frequency that's at the near real-time frequency that your business can afford, to use the MongoDB connector to fetch the data from MongoDB that was inserted, updated, or deleted between the last scheduled run and the current run. The pipeline uses the MongoDB connector as source connector to fetch the delta data from MongoDB Atlas and push it to Data Lake Storage or Azure Synapse Analytics dedicated SQL pools, using these as sink connections. This solution uses a pull mechanism (as opposed to the main solution described in this article, which is a push mechanism) from MongoDB Atlas as changes occur in the MongoDB Atlas collection that the Atlas trigger is listening to.
To estimate the cost of Azure products and configurations, use the Azure pricing calculator. Azure helps you avoid unnecessary costs by determining the correct number of resources to use, analyzing spending over time, and scaling to meet business needs without overspending. Azure functions incur costs only when they're invoked. However, depending on the volume of changes in MongoDB Atlas, you can evaluate using a batching mechanism in the Atlas function to store changes in another temporary collection and trigger the Azure function only if the batch exceeds a certain limit.
Atlas triggers and Azure functions are time-tested for performance and scalability. See Performance and scale in Durable Functions (Azure Functions) to understand performance and scalability considerations for Azure Functions. See Scale On-Demand for some considerations for enhancing the performance of your MongoDB Atlas instances. See Best Practices Guide for MongoDB Performance for best practices for MongoDB Atlas configuration.
MongoDB Atlas seamlessly integrates with Azure Synapse Analytics, enabling Atlas customers to easily use Atlas as a source or a sink for Azure Synapse Analytics. This solution enables you to use MongoDB operational data in real-time from Azure Synapse Analytics for complex analytics and AI inference.
We are currently running SQL 2014 with a 3-node AlwaysOn cluster. The main transactional database is going through an overall and
all systems connecting to it, is being re-designed. Once the new DB and systems are ready, it will go live at 1 of our clients as
a pilot phase.
But during this time, all changes made the current (old) DB must sync to the new DB AND visa versa. And this should happen real-time.
The structures of the old and new DB will be different - name changes, column changes, table changes, etc.
I was wondering what would be the best way to do this?
The current DB is about 850 GB and is fairly busy, with 1000's of users connected at any time and a big volume of
transactions (reads, write, proc executions...) running all the time.
So whatever means of synch I use, should not have a negative effect on the user experience.