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There are a few good ideas here to help overcome these obstacles. To avoid building a "data swamp," companies must find effective ways to quickly retrieve and query their data.
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For object storage, the biggest challenge is to keep data organized such that you can retrieve it efficiently. To become true database tiers, object storage solutions will need to achieve things like high performance (speedy queries) and ACID characteristics (atomicity, consistency, isolation, durability).
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Of course, no solution is perfect on its own. Getting High Performance With Object Storage Because work is distributed across potentially thousands of disks simultaneously, I/O performance bottlenecks that would occur with fewer disks simply disappear. As a result, log data use cases become simple and accessible, where complexity was once a stumbling block.įinally, with object storage, queries, reads and writes can happen almost instantaneously. Still, the durability of object storage is unbeatable, typically 11 nines (99.999999999%). Instead, services like AWS S3 abstract away the challenge of managing how data is stored within clusters. Traditionally, these decisions make log management painful and complicated while increasing operational overhead. Second, it doesn't require users to make hard decisions about how they store data - like figuring out shard sizes or replication factors, for example. For one, object storage requires virtually no volume management from the user. Second, object storage can simplify log data use cases dramatically. For many companies, this cost factor is transformative - removing the limits on what is possible with log data. In a nutshell, cloud costs typically go down sharply when moving to this type of architecture. Moreover, architecting on object storage allows companies to decouple storage from compute, which is often tightly coupled in traditional log management solutions, creating unnecessary cost. Generally, cloud costs for object storage solutions are pennies on the dollar.
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For companies architecting solutions around object storage, the benefits are tremendous. From cost to scalability, today's object storage solutions are hard to beat - particularly for high-volume, high-complexity log data. The Case For Architecting On Low-Cost, Infinitely Scalable Storageįor organizations managing logs, object storage may represent the next step in their strategy. Consequently, we are now seeing best-in-class data tiers architected on object storage. Indeed, many object storage services have grown to massive scale, and many companies have built their entire companies around the technology as a way to dramatically reduce storage costs and pass on the flexibility of elastic storage to their customers. Now, many companies are realizing that it makes sense as a primary data store. Object storage technology has grown tremendously in the past 20 years. Even then, object storage represented a better way to store data at scale there is virtually no limit to the volume of data that can be stored and analyzed, distributed across any number of discs (unlike traditional storage, where data is stored together, hierarchically, like paper stuffed into a filing cabinet).
ED STORE OBJECT STORAGE ARCHIVE
When it first entered the mainstream in the early aughts, object storage was mostly considered as an archive - a place to store large quantities of unstructured data. With its somewhat modest beginnings, object storage has now become transformative.