IT SYSTEMS MANAGEMENT

Infosys and TK Elevator Announce Strategic Collaboration

Infosys | June 10, 2022

Infosys
Infosys , a global leader in next-generation digital services and consulting, today announced a global strategic collaboration with TK Elevator, one of the world's leading elevator companies based out of Düsseldorf, Germany. The global seven-year collaboration is an extension of the successful modernization of TK Elevator's IT infrastructure in Europe and Africa.

As part of this engagement, Infosys will consolidate and harmonize the global service desk and workplace operations. Infosys will provide AI-powered IT helpdesk services, digital workplace management, as well as network services, powered by Infosys Cobalt-driven automation framework. This will humanize TK Elevator's workplace experience by building a resilient enterprise and digitally transforming their underlying IT infrastructure. Infosys will aim to boost cybersecurity and enhance digital experience for TK Elevator's end users, by leveraging its deep domain expertise, industry-grade IT infrastructure modernization capabilities, and a strong global presence. The collaboration, while improving availability of IT infrastructure, will reduce overall IT operational costs.

"At TK Elevator, IT infrastructure is the core of our digital initiatives and we continuously strive to provide state-of-the-art user services. With Infosys as a strategic partner, we are confident to achieve our target of automation, innovation and efficiency across the IT landscape."

Susan Poon, Global CIO at TK Elevator

"Infosys will provide our business with high-performance IT services and enhanced user experience for our employees worldwide. Leveraging artificial intelligence and automation will not only make our IT more customer-centric, but will also help improve our customer experience at reduced cost," added John Hemming, Head of Infrastructure at TK Elevator.

Commenting on the collaboration, Jasmeet Singh, Executive Vice President & Global Head, Manufacturing, Infosys, said, "Enterprises globally are repeatedly choosing cloud-based modernization solutions to enable their digital journeys, rendering their businesses more resilient. We are excited to collaborate with TK Elevator to enable their digital transformation. As we work towards establishing an engagement based on mutual trust and creating a value ecosystem, Infosys' best-in-class solutions in LAN, digital workplace, cybersecurity and infra, powered by AI and hybrid cloud, will drive operational excellence for TK Elevator globally. We look forward to continuing this collaboration in the future."

About TK Elevator
With customers in over 100 countries served by more than 50,000 employees, TK Elevator achieved sales of around €8 billion in the fiscal year 2020/2021. Over 1,000 locations around the world provide an extensive network that guarantees closeness to customers. Over the past decades, TK Elevator has established itself as one of the world's leading elevator companies and became independent since its separation from thyssenkrupp AG in August 2020. The company's most important business line is the service business represented by over 24,000 service technicians. The product portfolio covers commodity elevators for residential and commercial buildings to cutting-edge, highly customized solutions for state-of-the-art skyscrapers. In addition, it also consists of escalators and moving walks, passenger boarding bridges, stair and platform lifts. Integrated cloud-based service solutions, such as the MAX platform, are gaining in importance. With these digital offerings, there are no limits to urban mobility anymore. TKE – move beyond.

Spotlight

Machine learning (ML) is a capability that enables computers to learn without being explicitly programmed (Arthur Samuel, 1959). While the concept of ML has existed for decades, dramatic increases in computing capability and data volume have recently accelerated its development. A typical ML workflow includes: data-cleaning, model-selection, feature-engineering, model-training, and inference. Building and maintaining production ML environments is often complex since each ML process may require customization of the hardware and software. Much of this complexity can be eliminated by automating the deployment of hardware resources, configuring them with the appropriate operating system and application stack, and providing them to data scientists. This simplification process is referred to as Machine Learning as a Service (MLaaS).


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APPLICATION INFRASTRUCTURE,STORAGE MANAGEMENT,IT SYSTEMS MANAGEMENT

StorPool Storage Adds NVMe/TCP, StorPool on AWS, and NFS File Storage

StorPool Storage | August 24, 2022

StorPool Storage announced today the official release of the 20th major version of StorPool Storage - the primary storage platform for large-scale cloud infrastructure running diverse, mission-critical workloads. This is a major milestone in the evolution of StorPool, with the addition of several new capabilities that future-proof the leading storage software and increase its potential applications. StorPool Storage is designed for workloads that demand extreme reliability and low latency. It enables deploying high-performance, linearly-scalable primary storage systems on commodity hardware to serve large-scale clouds' data storage and data management needs. With StorPool, businesses streamline their IT operations by connecting a single storage system to all their cloud platforms while benefiting from our utterly hands-off approach to storage infrastructure. The StorPool team architects, deploys, tunes, monitors, and maintains each storage system so that end-users experience fast and reliable services while our customers’ tech teams dedicate their time to the projects that aim to grow their business. StorPool Storage v20 offers important new capabilities: NVMe/TCP Support StorPool Storage now supports NVMe/TCP (NVMe over Fabrics, TCP transport) - the next-generation block storage protocol that leverages TCP/IP, the most common set of communication protocols extensively used in datacenters with standard Ethernet networking and controllers. With NVMe/TCP, customers get high-performance, low-latency access to standalone NVMe SSD-based StorPool storage systems, using the standard NVMe/TCP initiators available in VMware vSphere, Linux-based hypervisors, container nodes, and bare-metal hosts. The StorPool NVMe/TCP implementation is software-only and does not require specialized hardware to deliver the high throughput and fast response times required by modern workloads. NVMe/TCP targets are highly available - in the event of a node failure, StorPool fails over the targets on the failed storage node to a running node in the cluster. StorPool on AWS Using StorPool on AWS achieves extremely low latency and high IOPS, delivered to single-instance workloads such as large transactional databases, monolithic SaaS applications, and heavily loaded e-commerce websites. StorPool Storage can now be deployed on sets of three or more i3en.metal instances in AWS. The solution delivers blazing-fast 1.3M+ balanced random read/write IOPS to EC2 r5n and other compatible compute instances (m5n, c6i, r6i, etc.). StorPool frees customers from per-instance storage limitations and can deliver this level of performance to any compatible instance type with sufficient network bandwidth. It achieves these numbers while utilizing less than a fifth of client CPU resources for storage operations, leaving more than 80% for the user application(s) and database(s). StorPool customers using AWS get the same white-glove service provided to on-premises customers, so they have peace of mind that their application’s foundation is running optimally in the cloud. StorPool’s expert team designs, deploys, tunes, monitors, and maintains each StorPool storage system on AWS. The complete StorPool Storage solution enables anyone to easily and economically deploy heavy enterprise applications to AWS, which was previously not achievable at the cost/performance ratio offered by StorPool. NFS File Storage on StorPool Last but definitely not least, StorPool is introducing support for running highly available NFS Servers inside StorPool storage clusters for specific use cases. NFS services delivered with StorPool are suitable for throughput-intensive file workloads shared among internal and external end-users (video rendering, video editing, heavily loaded web applications). They can also address moderate-load use cases (configuration files, scripts, images, email hosting) and support cloud platform operations (secondary storage for Apache CloudStack, NFS storage for OpenStack Glance). NFS file storage on StorPool is not suitable for IOPS-intensive file workloads like virtual disks for virtual machines. Deploying NFS Servers on StorPool storage nodes leverages the ability of StorPool Storage to run hyper-converged with other workloads and the low resource consumption of StorPool software components. Running in virtual machines backed by StorPool volumes and managed by the StorPool operations team, NFS Servers can have multiple file shares. The cumulative provisioned storage of all shares exposed from each NFS Server can be up to 50 TB. StorPool ensures the high availability of each NFS service with the proven resilience of the StorPool block storage layer - NFS service data is distributed across all nodes in the cluster, and StorPool maintains data and service integrity in case of hardware failures. "With each iteration of StorPool Storage, we build more ways for users to maximize the value and productivity of their data,” said Boyan Ivanov, CEO of StorPool Storage. “These upgrades offer substantial advantages to customers dealing with large data volumes and high-performance applications, especially in complex hybrid and multi-cloud environments.” “High performance access to data is essential wherever applications live,” said Scott Sinclair, ESG Practice Director.“ Adding NVMe/TCP support, StorPool on AWS and NFS file storage to an already robust storage platform enables StorPool to better help their customers achieve a high level of productivity with their primary workloads.” StorPool storage systems are ideal for storing and managing data of demanding primary workloads such as databases, web servers, virtual desktops, real-time analytics solutions, and other mission-critical software. In addition to the new capabilities, in 2022 alone, StorPool has added or improved many features for data protection, availability, and integration with popular cloud infrastructure tools. About StorPool Storage StorPool Storage is a primary storage platform designed for large-scale cloud infrastructure. It is the easiest way to convert sets of standard servers into primary storage systems. The StorPool team has experience working with various clients – Managed Service Providers, Hosting Service Providers, Cloud Service Providers, enterprises, and SaaS vendors. StorPool Storage comes as a software, plus a fully managed service that transforms standard hardware into fast, highly available and scalable storage systems.

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APPLICATION INFRASTRUCTURE

Runecast partners with SVA Software, Inc.

Runecast | June 29, 2022

Runecast, a leading provider of patented, predictive analytics for on-premises, hybrid and multi cloud environments, today announced a strategic partnership with SVA Software, Inc., a leading IT infrastructure services provider. The existing relationship between parent-company SVA GmbH, of Germany, and Runecast is now expanded to include SVA Software, Inc. and further the reach of both companies across North America. The SVA Software portfolio includes mainframe optimization solutions, VMware license assessments, infrastructure analytics, data archival and a disaster recovery runbook. SVA models its business on its software and service solutions scaling to meet the needs of its customers' stages of growth and to assist customers in making sense of the data that their systems produce. Customers therefore gain in-depth insights across their systems, enabling them more control in negotiating the next ELA with a vendor. "The strength of our partnership with SVA GmbH in Germany made it an easy choice to extend that partnership also to SVA Software, Inc. in North America. "Having a channel-first approach to market means that we rely on finding the best local partners to enable Runecast growth." Ched Smokovic, Chief Revenue Officer at Runecast Runecast has evolved to be the go-to solution for stabilizing and securing mission-critical IT operations ranging from online shopping and banking to emergency call services and air-traffic control. Runecast is an enterprise platform which brings a proactive approach to various areas of hybrid and multi cloud management and protection. Runecast provides automated best practices, actionable insights and proactive monitoring for VMware, Amazon Web Services (AWS), Microsoft Azure and Kubernetes, as well as OS-level support for Windows and Linux. Coverage for Google Cloud Platform (GCP) is planned for its July release. Recently, G2 reviews ranked Runecast a 'High Performer' in the Spring and Summer 2022 G2 Grid® Reports for the categories Security Risk Analysis, Cloud Workload Protection Platforms (CWPP), Vulnerability Scanner, Cloud Compliance and Cloud Security. "We are happy to add Runecast's unique solution and strength in the VMware space to our portfolio," said Lisa Schwab, VP of Sales and Marketing. "The partnership confirms the commitment in extending an award-winning platform like Runecast to the North American market. Runecast is a perfect complement to SVA's BVQ data analytics platform providing customers with a robust set of solutions to maximize and optimize their IT infrastructures." The Runecast vision for the future is to stay ahead of the challenges that organizations face in a fast-paced and rapidly changing IT environment, to provide the best possible proactive means of mitigating vulnerabilities and maintaining security compliance and uptime – which aligns well with the SVA approach to business. About Runecast Runecast Solutions Ltd. is a leading global provider of a patented solution for IT Security and Operations teams. Forward-focused enterprises like Avast, DocuSign, and Merck rely on Runecast for proactive risk mitigation, security compliance, operational efficiency, and mission-critical stability. Headquartered in London, U.K., Runecast is a Gartner Cool Vendor and has won Computing awards for Cloud Security Product of the Year and Best Place to Work in Digital. About SVA Software, Inc. SVA Software, Inc. is a 100% subsidiary of SVA System Vertrieb Alexander GmbH, a German company. SVA Software, Inc. was founded in 2016 selling SVA GmbH developed solutions combined with value added services. SVA System Vertrieb Alexander GmbH is the largest privately owned system integrator in Germany in the fields of Datacenter Infrastructure and is the largest global IBM Systems Integrator. The company was founded in 1997 in Wiesbaden, Germany. SVA GmbH now employs more than 2,200 employees at 25 branch offices throughout Germany with a revenue of more than $1.3 Billion (2021) servicing over 3,000 customers worldwide.

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HYPER-CONVERGED INFRASTRUCTURE,APPLICATION INFRASTRUCTURE

Ginkgo Bioworks Announces Strategic Purchase of Epidemiological Data Infrastructure Assets

Ginkgo Bioworks | August 22, 2022

Ginkgo Bioworks , the leading horizontal platform for cell programming, today announced the purchase of certain epidemiological data infrastructure assets from Baktus, Inc., a Delaware-based public benefit corporation. Under the terms of the deal, Ginkgo will assume ownership of proprietary datasets, modeling and analytic tools, and a software platform with the capabilities to track, model, and forecast epidemics and associated risks and impacts. Ginkgo also expects to integrate several ongoing epidemiological analysis projects and a team of epidemiological data experts into its biosecurity and public health initiative, Concentric by Ginkgo. Baktus, through its subsidiary, Metabiota, Inc., has built an extensive database of infectious disease outbreaks. In addition to epidemiological tracking and forecasting, the company created specialized data infrastructure to help governments and other partners understand and model the risks and disruptive impacts of pathogens in order to promote resilience to pandemics and epidemics. Baktus and Metabiota are expected to continue their independent operations after transferring the assets and epidemiological data personnel included in this transaction. "We believe robust public health data is the bedrock of biosecurity—it's what enables public health leaders to direct resources where they're needed the most and researchers to develop targeted vaccines, diagnostics, and therapeutics. "Integrating state-of-the-art epidemiological modeling and predictive capabilities with our end-to-end biosecurity offerings will help us continue making the data we gather on pathogen spread and evolution that much more meaningful and actionable for public health leaders and communities." Matt McKnight, General Manager for Biosecurity at Ginkgo "Our team has spent nearly a decade building epidemiological data and risk modeling tools for the public and private sector to more effectively quantify, mitigate and manage epidemic risk. This transaction demonstrates the importance of these efforts and capabilities," said Nita Madhav, outgoing CEO of Metabiota, who will be joining Ginkgo as part of the transaction. "Ginkgo's biosecurity initiative is an ideal home for our data, analytics, and expertise, and we are very excited to join the Ginkgo team." Concentric has built a large-scale biosecurity platform, bolstered by a nationwide laboratory and operational network, to deliver comprehensive COVID-19 monitoring programs and services across thousands of sites in the U.S., including schools, airports, and other congregate settings. Concentric is building upon this foundation to create a sustainable global biosecurity infrastructure to help detect, mitigate and respond to a wide variety of biological threats, and we expect this transaction to be a key milestone towards developing that infrastructure. About Ginkgo Bioworks Ginkgo is building a platform to enable customers to program cells as easily as we can program computers. The company's platform is enabling biotechnology applications across diverse markets, from food and agriculture to industrial chemicals to pharmaceuticals. Ginkgo has also actively supported a number of COVID-19 response efforts, including K-12 pooled testing, vaccine manufacturing optimization, and therapeutics discovery.

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DATA STORAGE

SANBlaze Enters New Markets in the Storage Testing Industry

SANBlaze | August 01, 2022

SANBlaze Technology Inc., a leading worldwide provider of advanced storage test and validation technologies, today announced the expansion of its industry-first NVMe® over PCIe® 5.0 validation and compliance testing system from traditional SSD manufacturers to new markets comprised of data center storage and large cloud vendors. “Customer confidence has grown beyond our traditional walls of satisfying requirements from major SSD manufacturers to supporting large data centers and cloud storage organizations. “This evolution stems from our first-to-market leadership for early adoption and development of NVMe PCIe Gen5. Early availability was a critical factor in enabling our key strategic customers to meet their internal development schedules for Gen 5 SSD’s and FCS releases.” Rick Walsh, VP of Sales and Marketing “SANBlaze partnered with WD to get our Gen5 Validation infrastructure ready in time including SRIS/SRNS clocking features which helped to fast track our overall Gen5 bring up,” said Anuj Awasthi, Senior Director, System Design and Firmware Verification Engineering, Western Digital Corp. In addition to SSD manufacturers such as Western Digital, SANBlaze is onboarding new major cloud and data center storage providers as they recognize the capabilities and value of the Certified by SANBlaze test suites as a first-level SSD validation criterion. Certified by SANBlaze is an instant benchmarking tool that saves on CapEx overhead expenses for SSD compute applications. SANBlaze Suite of Products SANBlaze solutions include the SBExpress-RM5™ rackmount appliance, the SBExpress-DT5™ desktop appliance, and the industry benchmark SBExpress Certified by SANBlaze software, which provides over 900 ready-to-go tests and scripts. These latest PCIe 5.0 platforms provide broad test capabilities for development, QA, validation, and manufacturing teams in data centers large and small. SBExpress-RM5 The SBExpress-RM5 is a 16-bay enterprise-class NVMe test appliance supporting hot-plug and all link speeds up through PCIe 5.0. The system features a unique modular “riser” design that enables user-configurable variable slot support, as well as field-upgradable support for all PCIe 5.0 connector form factors, including U.2, M.2, EDSFF, and the new E3/EDSFF. The ability to margin and measure power, glitch signals, and test spread spectrum clocking (SSC) or conventional clocking in both common and SRIS/SRNS modes sets the SBExpress-RM5 apart from all others in the NVMe SSD testing space. Data integrity is verified with a comprehensive suite of read/write/compare tests, with exception cases such as power glitching while running IO, and built-in "Write Atomicity" testing as part of the Certified by SANBlaze test suite. Testing is accessible through a web interface to the appliance or via Python, XML and REST APIs, which come standard with the system. The SBExpress™ Gen5 software includes over nine-hundred test scripts to enable IOL testing in the customer’s lab, before undergoing official testing, as well as ZNS, VDM, and TCG Opal verification. SBExpress-DT5 The SBExpress-DT5 is the sixth-generation SBExpress system and is both evolutionary, growing from its successful family of predecessors, and revolutionary, with advanced test capabilities such as Vendor Defined Messaging (VDM) testing, MI (Management Interface) in-band, and SMBUS testing at 1MHz. All features of the enterprise test suite Certified by SANBlaze are supported by DT5 at PCIe 5.0 speed. SANBlaze at Flash Memory Summit Flash Memory Summit 2022 takes place August 2-4 at the Santa Clara Convention Center, Santa Clara CA, USA. SANBlaze, a member of the Symbiosys Alliance, will be present in booth #219. The Symbiosys Alliance will be present in booth #119. About SANBlaze SANBlaze is a pioneer in storage testing and validation technologies. SANBlaze systems are deployed in the test and development labs of most major storage hardware and software vendors worldwide. SANBlaze is revolutionizing the NVMe Storage Area Network (SAN) and PCIe device qualification markets by offering NVMe testing end-to-end. We are first to market a solution that tests Native NVMe and NVMe over Fabrics (NVMe-oF™) for complete end-to-end testing of your entire system using single port or dual port drives. About the Symbiosys Alliance The Symbiosys Alliance is an I/O interconnect technology group chartered to create value for its membership and for their respective customers by strategically and collaboratively aligning member products and services to current and upcoming market opportunities. These synergized solutions can provide developers with the state-of-the-art resources they need to roll out highly competitive offerings efficiently and confidently to their respective marketplaces. The alliance addresses a range of verticals increasingly characterized by hyper-fast innovation cycles. These include semiconductors, data storage, IoT, cloud computing, consumer electronics, automotive, aerospace, medical, and more. Members leverage alliance partnerships to precisely anticipate and address these innovation cycles by delivering high-quality solutions that resonate with the latest technological advances.

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Spotlight

Machine learning (ML) is a capability that enables computers to learn without being explicitly programmed (Arthur Samuel, 1959). While the concept of ML has existed for decades, dramatic increases in computing capability and data volume have recently accelerated its development. A typical ML workflow includes: data-cleaning, model-selection, feature-engineering, model-training, and inference. Building and maintaining production ML environments is often complex since each ML process may require customization of the hardware and software. Much of this complexity can be eliminated by automating the deployment of hardware resources, configuring them with the appropriate operating system and application stack, and providing them to data scientists. This simplification process is referred to as Machine Learning as a Service (MLaaS).

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