There are a variety of ways to add accessible data storage to a home or business network, but not all equipment is created equal. Determining the best solution is challenging, especially for small businesses or home users who don’t necessarily need the features and capacities that large organizations require. Among the most common solutions to choose from are cloud, in-house servers, and network-attached storage (NAS).
Are you confused about which Azure Storage Service to use, for mapping a drive, or just dumping large amounts of data in to? This post goes indepth in to the differences between Azure Blob Storage and Azure File Services.
If you are a software engineer like myself, two areas that I am not well versed in are networking and storage. Yes, my application has to communicate and yes my application needs to be deployed and requires some storage. Though that is usually the extent of my knowledge. Thanks to using elastic compute from cloud vendors in the last several years, the answer I usually give is “yes, attach 100gb of standard block storage per instance”.
Dell EMC Isilon is a petabyte-scale network attached storage (NAS) system that allows you to archive unstructured data. Isilon operates in a cluster to provide high availability, and you can scale up its throughput, IOPS, and storage space by adding nodes to your cluster. Isilon automatically replicates your data throughout the cluster to ensure durability and provides caching to minimize data retrieval latency.
With Amazon S3’s scalable object storage, you can store and manage billions of objects across multiple AWS accounts, regions, and storage classes. S3 Storage Lens provides 29 useful metrics that give you deeper visibility into your S3 usage and activity across your entire organization. We are proud to be a pre-integrated AWS partner using the new CloudWatch publishing option to bring S3 Storage Lens metrics into Datadog for enhanced S3 storage monitoring.
In this article, we’ll cover the three main challenges you may face when maintaining your own Prometheus LTS solution. In the beginning, Prometheus claimed that it wasn’t a long-term metrics storage, the expected outcome was that somebody would eventually create that long-term storage (LTS) for Prometheus metrics. Currently, there are several open-source projects to provide long-term storage (Prometheus LTS). These community projects are ahead of the rest: Cortex, Thanos, and M3.
DX Unified Infrastructure Management (DX UIM) has more than 150 monitoring probes, which enables IT administrators to monitor everything from traditional mainframe servers to modern hybrid clouds running on a wide range of platforms and operating systems. Traditionally, a separate probe has been required to monitor each specific technology. That’s because the interface that retrieved monitoring metrics was either proprietary or technology specific.
Object storage has by far the most simplistic interface out there, with no need for complicated SCSI drivers, HBA drivers, multipathing tools, or volume managers embedded into your Operating System. All you need to do is point your application at an HTTP endpoint, and use a simple set of verbs to describe what you want to do with a piece of data. Do you want to PUT it somewhere for safekeeping? Do you want to GET it so that you can do some work with that piece of data?
