Data challenges in today’s disaggregated world
Today we see more enterprise architectures shifting to hybrid and multi-cloud environments. And while this shift allows for more flexibility and agility, it also means having to separate compute from storage, creating new challenges in how data needs to be managed and orchestrated across frameworks, clouds, and storage systems.
Data is not local to compute, leading to degraded workload performance.
The same data needs to be accessible to different, popular analytical & ML frameworks.
Running computation where data persists makes scaling extremely limited & expensive.
No self service data
To make data accessible to the users, complex ETL jobs are needed that copy data across different silos.
high Cost of management
Cloud storage egress costs continue to rise due to multiple data storage layers in the cloud.
unreliable s3 performance
Today’s object storage capabilities are not ready for interactive big data workloads.
High availability, storage system data management and disaster recovery is complex.
limiteD DATA security
No unified way to secure data across different clouds and storage systems.
The need for a new DATA ORCHESTRATION platform
To address these data challenges, enterprises are adopting a new platform: the data orchestration platform. A unified data orchestration platform simplifies your data’s cloud journey.
A data orchestration platform fundamentally enables separation of storage and compute. It brings speed and agility to big data and AI workloads and reduces costs by eliminating data duplication and enables users to move to newer storage solutions like object stores.
Alluxio – BIG Data orchestration fRAMEWORK for The cloud
Alluxio is a compute agnostic, storage agnostic and cloud agnostic solution for big data and machine learning applications.
Data is local to compute, giving you memory-speed access for your big data and AI/ML workloads
Data is accessible through one unified namespace, regardless of where it resides
Data is as elastic as compute so you can abstract and independently scale compute and storage
Alluxio is expanding the data integration capabilities of its multi-cloud/hybrid cloud data management platform, boosting the system’s data pipelines for business analytics and machine learning applications.
Alluxio 2.5 focuses on improving interface support to broaden the set of data driven applications which can benefit from data orchestration. The POSIX and S3 client interfaces have greatly improved in performance and functionality as a result of the widespread usage and demand from AI/ML workloads and system administration needs. Alluxio is rapidly evolving to meet the needs of enterprises that are deploying it as a key component of their AI/ML stacks.
Data processing is increasingly making use of NVIDIA computing for massive parallelism. Advancements in accelerated compute mean that access to storage must also be quicker, whether in analytics, artificial intelligence (AI), or machine learning (ML) pipelines.