12/2/2023 0 Comments Cloud data backup virginia![]() In addition, you can use the Cloud Monitoring Console (CMC) to holistically monitor the data consumption and health of your Splunk Cloud Platform environment. Splunk Cloud Platform provides a complete suite of self-service capabilities for you to ingest data, customize data retention settings, customize user roles and centralized authentication, configure searches and dashboards, update your IP Allow List and perform app management. Unless otherwise noted in Release Notes, Splunk manages and updates the Splunk Cloud Platform service uniformly, so all customers of Splunk Cloud Platform receive the most current features and functionality. Using Splunk Cloud Platform, you gain the functionality of Splunk Enterprise for collecting, searching, monitoring, reporting, and analyzing all of your real-time and historical machine data using a cloud service that is centrally and uniformly delivered by Splunk to its large number of cloud customers, from Fortune 100 companies to small and medium-size businesses. Splunk Cloud Platform delivers the benefits of award-winning Splunk® Enterprise as a cloud-based service. ![]() Welcome to the Splunk Cloud Platform service description. Information about any of the UVa ITS services can be obtained by contacting the Help Desk.Latest translated version: この情報は日本語で入手できます。 見る Splunk Cloud Platformサービスの説明。 Splunk Cloud Platform introduction Their Projects page highlights some of the work that they have partnered on. There is an extensive list of Topics and a data catalog. Their Learning Portal compiles workshop and tutorial materials offered by the RC, as well as by the UVa Library Research Data Services and the UVa Health Sciences Library. their How To guides will help you get started: General, Rivanna, Ivy, and Storage. Research Computing (RC) is the support team at the University of Virginia whose mission is to empower researchers to achieve more through the use of cutting-edge computational resources. They have a great selection of User Guides covering High Performance Computing (Rivanna), Secure Computing (Ivy Secure), Storage, Cloud, Data Analysis, Image Analysis, Data Transfer, Bioinformatics, and ACCORD. They provide FAQ's in three areas - Rivanna, Ivy, and Storage. Which option is right for you and your data? That will depend on your answers to the items to consider in the previous section. Cloud Services: Amazon (AWS) and Microsoft Azure.ITC Hierarchical Storage Management (HSM) Permanent storage for large amounts of data.ITS Project: Requesting ITS Services Available services in the Service Portal.ITS Hosting: Hosted MSSQL & MySQL Databases.ITS Hosting: Storage Options High Performance with or without Data Recovery, Standard Performance with or without Data Recovery, Value Storage.ITS Hosting: Enterprise Storage Options High Performance with or without Disaster Recovery, Standard Performance with or without Disaster Recovery.Not intended for storage of works in progress (active data). Libra Data (Local UVA Dataverse Instance): Datasets from UVa research may be submitted to preserve them and make them accessible globally.USB (thumb) drives are not a good option. Hard drives have a life expectancy of 4-6 years. Their life expectancy is only 2-5 years, and they need to be stored under the appropriate environmental conditions. Things to consider when selecting how and where to store your data:Ĭd's and DVD's are not reliable as long-term storage options. Check the integrity of the data using checksum validation. Use a reliable medium and test your backups periodically by testing file restores. Select a schedule that works for you, and follow it. Accidents DO happen: hardware fails, media deteriorates, drives are lost, computers are stolen, data files are corrupted by viruses, power failures and even human errors.īackup often. Document your data storage strategy and data backup policy.īest Practice is to follow the 3-2-1 Rule: keep 3 copies of your files in 2 different locations, with 1 copy off-site, ideally in a different geographic zone. Keep your source (primary, or raw) data separate from your active data, and always make a copy of it before working on the data. Active data are the data that you are collecting and analyzing for your research project. Active Data Storage and Backups are key components of your research data management strategy.
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