۶ key data strategy considerations for your cloud-native transformation

Many organizations are making the move to cloud-native platforms as their strategy for digital transformation. cloud-native allows companies to deliver fast-responding, user-friendly applications with greater agility. However, the architecture of the data in support of cloud-native transformation is often ignored in the hope that it will take care of itself. With data becoming the information currency of every organization, how do you avoid the data mistakes commonly made during this cloud transformation journey? What data questions should you ask when building cloud-native applications? How can you gain valuable insight from your data?

The ensuing presentation includes six key considerations companies must have when they make this transition to cloud-native.

۱- Farewell, service-oriented architecture (SOA). Welcome, microservices!

۲- ۱۲-factor app and cloud-native microservices

۳- Continuous integration/continuous delivery

۴- The importance of a multicloud deployment model

۵- Monoliths vs. nonmonoliths

۶- Fundamental requirements of a cloud-native database

Active-active data replication

Data replication in batch mode used to be a popular approach. But for real-time applications, replication with event store and event sourcing are getting a lot more traction. In microservices apps, that are loosely coupled and need to share data, there is a need for active/active data replication with tunable consistency. Many customers employ active/active deployment models for many reasons, such as:

  • Shared data sets among microservices that are being continually updated.
  • Seamless migration of data across datacenters so user experience is not impacted.
  • Mitigating failures scenarios and failover to a second datacenter to minimize downtime.
  • Handling high volume of incoming traffic and distributing load across multiple servers with seamless syncs.
  • Geographically distributed applications (like a multiplayer game or a real-time bidding/polling application) where data needs to be in sync across geos

Source: infoworld.com/article/3273551

Supermicro Announces New Cloud-Scale

Supermicro Announces New Cloud-Scale Enterprise Systems at OpenStack Summit 2018

VANCOUVER, British Columbia, May 21, 2018 /CNW/ — Super Micro Computer, Inc. (NASDAQ: SMCI), a global leader in enterprise computing, storage, networking solutions and green computing technology, today announced that it is offering proven cloud-scale, enterprise system configurations including the multi-node BigTwin and SuperBlade along with a 1U Cloud Storage system at the OpenStack Summit 2018, booth B9.

These proven Supermicro cloud system configurations have already been deployed across the entire range of datacenter environments including cloud service providers (CSPs), media streaming, e-commerce, social, telecommunications, semiconductor, OpenStack, artificial intelligence (AI), content delivery networks (CDN), and hyper-converged infrastructure (HCI). These systems are cloud optimized for scale-out, high performance at maximum density and software defined storage.

“Supermicro is helping enterprises accelerate their time to deployment by offering proven cloud system configurations that have already been deployed at scale in large cloud datacenters,” said Charles Liang, President and CEO of Supermicro. “For rack-level optimization, Supermicro Rack Scale Design 2.1 (RSD 2.1) manages racks of disaggregated servers, storage, and networking and is tightly integrated with other datacenter management software layers such as OpenStack using the Restful Pod Manager APIs that enable end-to-end cloud infrastructure deployment.  When enabled with Supermicro RSD 2.1, our 1U all-flash NVMe storage system with 32 hot-swap NVMe SSDs can share up to a half petabyte of high-performance storage with up to 12 hosts simultaneously. These 32-drive systems have already been deployed at many datacenters including one of the world’s most successful automobile companies.”

Source: newswire.ca