Addressing storage issues in different storage scenarios and data formats
Provide efficient, intelligent, and reliable data management solutions
Quick retrieval and invocation of business, enabling data to unleash greater value
Background of the solution
In the modern enterprise private cloud IT infrastructure, more and more production environments are gradually changing, transitioning from traditional virtualization centered architecture to cloud native architecture centered on containers and microservices. In this process, how to effectively support various cloud host applications and microservice applications in storage poses great challenges for enterprise private cloud data centers.
The SandStone container cloud storage solution fully utilizes the cloud service capabilities of SandStone storage products, with a wide ecological cooperation foundation, which can efficiently connect various cloud computing resources and reduce the infrastructure management and operation costs of complex private cloud data centers.
Customer Challenge
With the launch of containers and microservice platforms in enterprise private cloud environments, the rapid development, iteration, and frequent release of applications in large enterprises pose a serious challenge to the elastic support capability of storage systems. Moreover, different business data is stored locally on computing nodes or on different external storage devices, resulting in poor data mobility. This not only leads to serious waste of storage space and performance resources, but also makes it difficult to unify data disaster recovery solutions.
Container orchestration systems based on open source technologies such as Kubernetes provide many customers with the ability to quickly build PaaS platforms, but the storage part is different. Although open source storage systems such as Ceph can be deployed in production environments, they also face some problems: the degree of integration with hardware and enterprise level application ecosystems is not high, they rely heavily on manual development and operation, and cannot simultaneously meet the needs of sensitive and steady-state applications in terms of performance and service quality.
Middleware, databases, and other businesses that require persistent storage in container platforms usually directly use block devices or folders, while some stateless applications require object storage. Different applications have different interface requirements for storage, and it is currently difficult to have a unified storage platform to meet the diversified storage needs of large container platforms.
Our Solutions
The container cloud storage solution fully leverages the cloud adaptation and openness advantages of the Shanyan unified storage platform, supporting various complex application workloads and flexibly supporting all container cloud platforms that comply with Kubernetes Software Conformity Certification certification. The CSI interface supports dynamically created persistent storage suitable for containers, as well as storage access requirements for different types of applications, including container image repositories such as Harbor. The pooled storage platform provides reliable storage infrastructure support for large-scale cloud environments, helping users free themselves from various complex infrastructure operations and focusing on rapid development, testing, and publishing that run on the business itself.
Customer Value
Storage resources automatically expand or contract according to application requirements
On demand self-service expansion or scaling of clusters
High efficiency in data migration or reconstruction
Support CSI interface authentication for container platforms, compatible with various container orchestration systems
Standard block, file, and object interfaces to meet the storage needs of various cloud applications
Guided deployment enhances user experience
Unified view management, automated management
Multiple copies/erasure codes, snapshot protection, etc. ensure long-term reliable storage of data
Intelligent caching, multi resource pool isolation, etc. meet the layered storage needs of different businesses
Performance priority adjustment, storage volume QoS, volume migration, etc., business deployment before optimizing configuration
The storage and management of production line inspection data
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