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MWS Cloud

Product
Developers: MTS Web Services, MWS
Last Release Date: 2024/09/09
Technology: IaaS - Infrastructure as a Service

Content

Main article: What is IaaS

The MWS cloud is a fault-tolerant IT infrastructure based on software and hardware from global manufacturers and located in MTS partner and own data centers that meet the TIER III reliability level according to the Uptime Institute TIA-942 standard and methodology.

2024

Launch of BI platforms

MTS Web Services (MWS) on October 3, 2024 announced the launch of cloud systems for analyzing and visualizing data of any complexity (BI platforms), which collect, store and visually present data to identify trends and important business metrics.

BI platforms will complement the MWS cloud ecosystem, which already allows you to securely store data of all sizes and distribute content to millions of users, as well as train ML models, manage their lifecycle and conduct joint experiments.

Three business intelligence systems will be available in the MWS cloud: Glarus BI - flexible platform for companies with unique business processes and special individual needs, Modus BI - a solution for medium and small businesses that need a simple and intuitive tool with extensive integration capabilities, as well as a platform for the Enterprise segment - Luxms BI, which provides powerful analysis and visualization tools to help you monitor, analyze performance indicators and prepare interactive reports to address specific business challenges. Now Glarus BI is already available to users for work, the rest will appear in the cloud before the end of 2024.

The platforms meet all the requirements of the import substitution policy, are included in the register of domestic software, are compatible with Russian OS, have documentation and technical support in Russian.

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BI solutions will help companies analyze current business indicators and manage efficiency, identifying barriers and growth points in real time, to quickly adapt the development strategy to the needs of the business. All systems use a modern technological stack, and their implementation in the cloud guarantees companies rapid implementation, high speed of operation, flexibility and scalability, - said Mikhail Tutaev, Product Director of MTS Web Services.
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Launch a dedicated cloud segment on domestic software

MTS Web Services (MWS), part of the MTS group, on September 9, 2024 announced the launch of a dedicated cloud segment on Russian software and equipment. Learn more here.

Launch two virtual infrastructure clusters with graphics accelerators

MTS Web Services (MWS), part of the group, MTS on August 28, 2024, it announced the launch of two infrastructure clusters virtual with graphics accelerators (GPUs) DPCs at Fedorovsky St. Petersburg GreenBushDC in and. These To Moscow segments will speed up and simplify implementation artificial intelligence the Russian by companies. After the launch of these segments, MWS GPU power increased by 40%.

Graphics accelerators are needed to work with artificial intelligence models. The launch of segments will allow more enterprises to simplify and speed up training and performance of their own AI- and ML-models by placing them cloud in MWS. The infrastructure is suitable for working with any AI models in everyone. And industries economies you can access it from anywhere in the country.

Also, by the end of 2024, GPU-infrastructure will be deployed: a platform for the development, training and deployment of ML-models, ready-made AI models for different industries and areas, available by API and AI-services according to the SaaS model.

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More and more Russian companies are transferring work with AI to the cloud. This is due to the fact that training modern large language models and ensuring their performance requires a huge amount of computing resources, as well as attracting expensive specialists. Not every company can afford such an investment. To meet the growing demand of the business, MWS increased the GPU capacity available to customers by 40%. And by the end of 2024, this figure will increase by another 3-4 times. We strive to ensure that as many companies as possible, regardless of their size, have the opportunity to train and introduce their AI models into the business, "said Aleksei Kuznetsov, director of new cloud products at MTS Web Services.
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Launch of virtual infrastructure with GPU accelerators at Fedorovsky data center

MTS Web Services (MWS), part of the group, MTS announced the launch virtual of an infrastructure cluster with GPU accelerators DPC in Fedorovsky in. Leningrad Region MTS announced this on August 8, 2024. This segment will speed up and simplify implementation artificial intelligence the Russian by companies. By the end of 2024, there will also data center be a classic cloud segment designed to transfer and store IT business systems in it.

Fedorovsky became the first MWS data center St. Petersburg with GPU cards that are necessary for working with artificial intelligence. The launch of the new segment will allow companies to simplify and speed up training and performance of their own - and AI- ML models, placing them in the MWS cloud. The infrastructure is suitable for working with any AI models in everyone. industries economies

By the end of 2024, the data center will also deploy the classic virtual infrastructure and other popular MWS cloud services. In addition, the company's customers working with artificial intelligence, in addition to the GPU infrastructure, will have access to a platform for the development, training and deployment of ML models, ready-made AI models for different industries and areas, available via API and AI services based on the SaaS model.

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More and more Russian companies are transferring work with AI to the cloud. This is due to the fact that training large language models and ensuring their performance requires a huge amount of computing resources, as well as attracting expensive specialists. Not every company can afford such an investment. To meet the growing demand of the business, MWS will quadruple the GPU capacity available to customers by the end of the year. We strive to ensure that as many companies as possible, regardless of their size, have the opportunity to train and introduce their AI models into the business, "said Aleksei Kuznetsov, director of new cloud products at MTS Web Services.
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Adding products from Arenadata

MTS, a digital ecosystem, on July 26, 2024 announced the conclusion of a strategic partnership between MTS Web Services (MWS), part of the MTS group, and Arenadata. As part of the contract, MWS launched five services on software products from Arenadata. They will allow the business to deploy databases for management decisions without unnecessary costs based on the analysis of a large amount of information, as well as simplify the training of artificial intelligence models.

The first service was cloudy the database management system () DBMS for storages analyzing large amounts of structured data -. Arenadata DB (ADB) The service is suitable for creating enterprise analytical repositories for financial reporting, client analytics systems marketing , and campaign management. Also, on the basis of the service, you can build enterprise systems: ADB with business analysts any are integrated BI systems that are compatible with JDBC/ODBC. In addition, the service allows you to quickly expand and minimize sandbox zones for pilot projects and testing statistical hypotheses, as well as work with all analytical tools in a single environment.

The second product is an enterprise distribution for distributed scalable data processing - Arenadata Hadoop (ADH). The service is suitable for storing and processing large volumes of structured, semi-structured and unstructured data, creating an infrastructure for Big Data analysis, solving data analysis (DS) and machine learning (ML) problems, as well as continuous collection and analysis of various metrics and logs.

The Arenadata QuickMarts Cluster Column Database (ADQM) will also be available to MWS customers, which allows analytical queries to be performed on large amounts of structured data in real time. The service can be used to quickly generate BI reporting, as well as implement a layer of data marts for user load. ADBs, together with ADQM, are a complete replacement for SAP BW and can be used to create BI systems with more than a thousand users capable of processing requests to hundreds of storefronts.

The fourth and fifth products available at MWS were Arenadata Postgres transactional (OLTP) database (ADPG) and Arenadata Streaming (ADS) data streaming product. Arenadata Postgres is a universal DBMS for working with loads of different profiles (primarily OLTP - Online Transaction Processing). It allows you to work with various amounts of data and supports a wide range of data types (including JSON and user types) with the ability to flexibly program data processing mechanisms. Arenadata Streaming is a scalable fault-tolerant system for real-time streaming, adapted for enterprise use and based on Apache Kafka and NiFi. The product includes a graphical web user interface for managing and monitoring streaming clusters (ADS Control, ADSC), support for advanced security (Arenadata Platform Security, ADPS), as well as a number of additional tools for implementing replication, data quality verification and other functions necessary for product operation.

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Russian business is increasingly digitalized. The amount of accumulated data is growing every day. Information about sales, customers, seasonal demand, production processes - all this can become a powerful booster for the growth of the company, if you are able to quickly analyze large amounts of data and make decisions based on data. This can be implemented using specialized services such as a joint product from MWS and Arenadata. The MWS cloud allows a business to quietly accumulate gigantic amounts of information without thinking about storage and investment in physical infrastructure. While data services provide quick access and processing of accumulated information for its subsequent use. Cloud data storage also simplifies artificial intelligence training, as ML models will be trained on gigantic volumes of structured and unstructured data located in one place, said Mikhail Tutaev, MWS Product Director.
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Arenadata is actively expanding the presence of its products in the clouds, new confirmation of which was the partnership with MWS. It is important for us that our customers do not become hostages of only one option for building an IT infrastructure, and can work with data in convenient environments for them. At the same time, they receive such significant advantages as flexibility and speed, which is achieved thanks to the ability to quickly receive computing resources without large start-up investments. Also, by choosing Arenadata products in the clouds, customers can make the costs of computing infrastructure variable and more transparent, "said Anton Blizgarev, director of cloud business development at Arenadata.
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