G-Core Labs, a Luxembourg-based international provider of cloud and edge solutions, has announced the opening of the second region of its public cloud in Moscow.
The solution is a multi-functional virtual data centre that allows companies in various industries, including media, online retail, game developers and publishers, banks and insurance companies, educational and medical organisations and services, to scale up their IT infrastructure in minutes, as well as accelerate the development, testing and launch of new products and services.
The first G-Core Labs public cloud region in Luxembourg was launched in November 2019.
Vsevolod Vayner, G-Core Labs cloud platform department head, commented: "The opening of a new cloud point in Moscow is good news both for local customers who need to solve their business challenges within the country and have minimal latency, and foreign companies who want to start their business in Russia, meet all necessary legislation (including in the field of personal data storage) and have an international provider as a partner".
As part of the Infrastructure as a Service (IaaS) model, the G-Core Labs solution provides the functionality of virtual machines, not limited in capacity, with the options of fast and seamless automatic scaling, their load balancer, system backup and data disaster recovery. G-Core Labs thus allows its clients to create virtual cloud networks where they can set up private clusters to do computations or to isolate a certain set of applications within their own cloud network.
Another feature of G-Core Labs IaaS service is the option to manage resources by distributing them among projects (cost centres). This increases the transparency of the use of resources by projects or departments for clients.
Within platform services, or PaaS, G-Core Labs has announced plans to add an option of autodeploying Kubernetes clusters for container orchestration in the near future, so as to finish the integration of a platform for developing, testing and launching artificial intelligence (AI) applications and Hadoop-based systems for working with big data.
