Media Mentions

South Africa is an attractive target for cybercriminals for a number of reasons, and the last few years have seen a sharp rise in high-profile ransomware attacks. One of the key motivations driving this volume of attacks is the fact that data is a de facto currency and an extremely valuable commodity on the black market. While backup is a critical component of data protection, when this backup is also encrypted by malicious software, companies are often left with few options other than to pay the ransom. Therefore, an effective Cyber Recovery strategy, which enables businesses to get back up and running without having to give in to criminal demands, is the key.

Infinidat, a leading provider of enterprise-class storage solutions, is gaining momentum in the South African market with a number of innovative developments launched in the last six months. These include its storage-as-a-service (STaaS) strategy via AIOps technology and flexible consumption models at petabyte scale, as well as the recent introduction of a new InfiniBox Solid-State Array (SSA) offering and enhanced data protection against ransomware through its InfiniGuard CyberRecovery capabilities. Through these advanced intelligent solutions, Infinidat is assisting to empower local businesses as they grapple with the complexity of the storage and protection of data whilst balancing budget constraints.

All financial enterprises, both large and small, are following the same conventional “wisdom” by moving to the cloud as rapidly as possible. The balance that they need to maintain is not only what goes into the cloud, but, more so, determining if the financial institution’s data should be in a public vs. an onsite private cloud.

Enterprise-class storage solutions provider, Infinidat (www.infinidat.com) is now delivering ts storage-as-a-service (STaaS) strategy via AIOps technology and flexible consumption models at petabyte scale. The company’s Neural Cache deep learning technology, AIOps offerings, strategic partnerships and consumption-based models have resulted in significant momentum helping enterprise customers simplify IT operations.

Infinidat, a leading provider of enterprise-class storage solutions, today announced that it has delivered on its storage as a service (STaaS) strategy via AIOps technology and flexible consumption models at petabyte scale. The company’s Neural Cache deep learning technology, AIOps offerings, strategic partnerships and consumption-based models have resulted in significant momentum helping enterprise customers simplify IT operations.

AIOps supports scalable, multi-petabyte storage-as-a-service (STaaS) solutions, enabling enterprises to centralize operations and improve cost management.

Virtana has announced the integration of Virtana VirtualWisdom and Infinidat InfiniBox® to offer comprehensive Infrastructure Performance Management (IPM) tailor-made for large enterprises and service providers. The integration provides deep, cross-domain visibility into mission-critical application workloads that run on InfiniBox storage, while extending Virtana’s industry-leading IPM solution to a broader range of customer environments. It ensures uptime, availability, and performance, combined with advanced capacity forecasting.

Virtana, the AIOps observability company for hybrid cloud, and Infinidat, a provider of enterprise-class storage solutions, announced the integration of Virtana VirtualWisdom and Infinidat InfiniBox to offer comprehensive Infrastructure Performance Management (IPM) tailor-made for large enterprises and service providers.

At the same time, many need help with data management because they can’t get a grip on the growing complexities brought on by remote working, an increasing flood of data, and a slew of new technologies, from 5G to IoT and the intelligent edge.

At the same time, many need help with data management because they can’t get a grip on the growing complexities brought on by remote working, an increasing flood of data, and a slew of new technologies, from 5G to IoT and the intelligent edge.