IBM Taps Cisco Tech for New Managed Private Cloud Service

virtualizationreview.com | January 27, 2020

IBM announced a new fully managed private cloud service based on Cisco's Unified Computing System (UCS), which combines datacenter server hardware, virtualization support, switching fabric, storage access and management software.Cisco UCS will power the new Managed Private Cloud-as-a-Service that runs on industry-standard, x86-architecture servers in two distinct flavors based on the choice of virtualization tech. Cisco said the new solution will address the new world of cloud computing that resulted from organizations moving operations to public cloud platforms only to encounter new constraints in an increasingly complex infrastructure. That, the company said, led many to follow a more balanced approach of deploying hybrid or multicloud environments in which applications and workloads are run on private and public clouds.

Spotlight

In it’s most crude form, Cloud Computing is the digital version of warehousing. Just like its offline counterpart, it was adopted and adapted to reduce the infrastructure costs that companies have to undertake in order to store and safeguard the personal as well as client data.


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CLOUD APP DEVELOPMENT

MANAGED IT SERVICES FIRM INTELITECHS ACQUIRES TOTAL CLOUD IT

INTELITECHS | January 18, 2022

INTELITECHS, a Utah-based managed IT services provider, is pleased to announce its acquisition of Total Cloud IT. The acquisition opens the door to expansion by INTELITECHS into serving a broader group of small to mid-sized businesses across the country with both managed IT and cloud computing services. "We are pleased to be able to augment our proven model of delivering managed IT services to a larger group of clients across the country. It's a win/win – our regional clients now have access to expanded cloud services, and at the same time, previous cloud services-only clients can now benefit from the more comprehensive services INTELITECHS offers in the areas of managed IT and data security," founder Jake Hiller With today's home-based work force, there is a higher level of concern with data access and end-user security. "So many companies now have more employees working from home than in the office using company and non-company devices to access sensitive data," said Eric Sessions, co-founder. "We see a significant increase in need for our services like Office 365 security, directory synchronization, multi-factor authentication, SPAM filtering and DMARC/DKIM/SPF configuration and monitoring," he added. INTELITECHS provides managed IT services and IT department staff augmentation by serving as its customer's outsourced IT department. Its goal is to become clients' "geek-speak-translators" and to use IT to drive business growth and profitability. The company serves clients across the country with managed IT services, managed backups, 24/7/365 monitoring, and a wide variety of other sophisticated security services. The company also assists clients with hardware sales, cloud-based computing, server migration and Office 365 support. What sets INTELITECHS apart from other technology companies is its focus on partnership with clients versus just being an IT vendor. With its home office in Salt Lake City, UT, the company now serves small to medium-sized businesses across the country.

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CLOUD APP DEVELOPMENT

Exasol’s High-Performance Database Now Available as SaaS Model

Exasol | February 04, 2022

Exasol has today announced that its high-performance analytics database is now available through a software-as-a-service (SaaS) model on Amazon Web Services (AWS). Exasol’s SaaS offering, initially available in two versions, provides businesses the high performance and ease of use that Exasol is known for without them having to manage their own hardware infrastructure. Exasol, named Technology Partner of the Year 2021 in DACH by AWS, worked extensively with AWS SaaS Factory to deliver its SaaS model. “As a company focused completely on superior analytics performance, we want to be able to provide businesses the same impressive experience wherever their data goes. It’s exactly for this reason that we are building a bridge for organizations to be able to move analytics processes to the cloud without risk, without friction, and without taking performance hits - something that Exasol is uniquely placed to offer. As part of this, AWS gives us the ideal platform to build out our SaaS solution. It allows us to separate the compute from the storage, meaning we can elastically scale up and down compute power to optimize the costs and workloads for our customers.” Mathias Golombek, CTO of Exasol Exasol’s deep technical partnership with AWS has been key to ensure it can deliver the best-in-class performance via its SaaS offering. For Exasol, as an in-memory database, the ability to seamlessly increase or decrease its memory footprint is important. The AWS cloud platform provides Exasol with the ability to scale both vertically and horizontally to meet its needs. Furthermore, as Exasol seamlessly manages hot and cold data between the object store, local SSDs and main memory, AWS provides Exasol with the infrastructure to do that without compromising performance. “We understand the immense challenges facing companies in terms of extracting value from data to drive their business. We believe that companies who master this discipline will be better equipped for long-term success. Performance and cost are key drivers of any successful data strategy, and we are extremely proud to now offer our world-class performance technology through a consumption-based SaaS model on AWS for customers looking to move away from slow and costly systems without disruption to their business,” said Aaron Auld, CEO of Exasol. “Our technology is perfectly suited to solving the challenges that come with implementing cloud-first strategies while minimizing risk. Exasol’s SaaS offering is a key step towards delivering best-in-class performance combined with immediate budget relief to our customers.” With Exasol’s SaaS offering, customers can be up and running in a matter of minutes, in a fully managed system, while still benefiting from the best-in-class high-performance database technology that Exasol is known for without compromising security. When deployed in a public cloud, Exasol leverages native security measures such as AWS IAM or Active Directory services, as well as built-in security features. For customers who prefer to manage their own cloud solution, Exasol can also run on their cloud of choice, and for those looking for the ultimate control over their data, customers can continue to run Exasol on-premises. A hybrid solution is also possible for those customers who have needs that span several environments. Exasol is working to deliver a model which allows customers to select the appropriate deployment for different workloads, depending on regulatory considerations and their business needs. The launch of the SaaS model is the next step in this direction. Andy Hayler, CEO of the Information Difference commented on the announcement: “Whilst cloud computing is a foundation for many businesses, especially digital ones, most organizations are yet to move fully to the cloud. Exasol is providing customers the best of both worlds with its SaaS offering, offering them freedom to undertake a hybrid cloud strategy and migrate at their own pace. By not focusing on a 'cloud-only' approach to its solutions Exasol enables customers to derive business value from their data quickly, easily and cost effectively, no matter where they choose to store their data, based on a high performance, flexible and scalable platform.” About Exasol Exasol was founded in 2000 with the vision to transform how organizations use data. Today, Exasol’s analytics database – the fastest in the world – is trusted by the world’s most ambitious organizations. With offices in several locations across the US and Europe, Exasol is committed to delivering flexible, scalable and powerful analytics solutions to customers wherever they are, in the cloud – public or private - or on-premises.

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CLOUD COMPLIANCE AND AUDIT

Oracle Delivers Extreme Database Performance and Scale with Exadata Cloud Infrastructure X9M

Oracle | April 21, 2022

Oracle today announced the availability of Oracle Exadata Cloud Infrastructure X9M, the latest generation of the most powerful Oracle Database platform in Oracle Cloud Infrastructure (OCI). With Oracle Autonomous Database Service or Oracle Exadata Database Service running on Exadata Cloud Infrastructure X9M, customers can run existing workloads faster, with greater scale, and at a lower cost than previous generations. In addition, when upgrading from X8M to X9M, organizations can reduce costs by consolidating hundreds of OTLP, analytics, and mixed database workloads onto a single cloud service. Exadata Cloud Infrastructure X9M offers up to 8,064 database server vCPUs, 2.5 times more than X8M, and up to 3.1 PB of uncompressed database capacity, a 28 percent increase. Together with 80 percent faster internal networks, and twice the bandwidth to application server clients, customers can run OLTP workloads with extremely low sub-19 microsecond SQL IO latency and up to 87 percent more IOPS. Exadata Cloud Infrastructure X9M on OCI also accelerates analytics workloads in the cloud with 80 percent faster scan rates of up to 2.88 TB/s. "Autonomous Database and Exadata Database Service uniquely provide stock exchange-level performance, availability, and security transparently to all apps.With Exadata Cloud Infrastructure X9M, we adopted the latest CPU, networking, and storage hardware, and optimized our software to deliver Oracle's highest performance, most scalable, and most cost-effective cloud infrastructure for developing and running Oracle Database workloads—all at the same price as the previous generation." Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle. More OLTP and Analytics Performance and Scale The high level of performance delivered by Exadata Cloud Infrastructure X9M helps customers process more mission-critical transactions in less time and develop greater insights by analyzing larger amounts of data faster and with more sophisticated analytical algorithms. Additionally, the ability to consolidate more workloads on less infrastructure as compared to X8M reduces costs. Exadata Cloud Infrastructure X9M provides the following advantages over other cloud databases: Sub-19 microsecond IO latency—25 times better than the half-millisecond latency offered by Amazon RDS, and 50 times better than the one millisecond latency offered by Microsoft Azure SQL—directly improves OLTP responsiveness and throughput. With 64 storage servers, X9M delivers up to 2880GB/s of aggregate analytics scan throughput—137 times faster than possible with a single Azure SQL (21GB/s) and 384 times faster than Amazon RDS (7.5GB/s) instance. Continuous Operations for Mission-Critical Databases Exadata's fault-tolerant hardware and integration with Oracle Real Application Clusters (RAC) provides continuous operations across failures and enables infrastructure to be expanded, upgraded, and updated without interruption. The scaling of other cloud databases often requires downtime when moving from one pre-defined virtual machine shape to another. Exadata Cloud Infrastructure X9M supports scaling up consumption on database servers and scaling out the number of database servers used—all without migrating databases or taking downtime. With the ability to use four to 252 vCPUs per database server and two to 32 database servers per system, enterprises can consolidate mission-critical databases in the cloud without running out of resources. Greater Flexibility and Scale for Autonomous Database and Developers Organizations and developers deploying Autonomous Database on OCI can now increase performance and reduce costs by using more database and storage resources than previously possible on the X8M system. Autonomous Database customers have the flexibility to deploy the full range of Exadata Cloud Infrastructure X9M configurations in dedicated Autonomous Database environments. This enables customers to use additional vCPUs to execute more OLTP queries concurrently and more storage servers to parallelize analytics workloads with up to 38 times more scan throughput than possible with X8M. As a result, customers will be able to run database workloads faster, consolidate more of them on less infrastructure, and reduce costs. Additionally, Autonomous Database drives further cost reductions with less administration, consumption-based auto-scaling, and consolidation of up to five databases in one vCPU for lighter workloads such as development, microservices, and small databases. Customers and Analysts Comment on X9M in OCI Letsbank is a leading digital bank in Brazil for small and medium-sized businesses. "With Oracle Exadata Database Service, we've gained flexibility and the assurance that if there's abrupt growth or a spike, the bank will support that load," said Vitor Oliveira, head of Cloud and DevOps, Letsbank. "We've also improved performance by 2,000 percent, as well as security and reliability. We look forward to the advantages that Oracle Exadata Database Service X9M will bring to further enable our expansion and enhance the customer experience." Martin Brower is a multi-billion-dollar supply chain company that supports over 25,000 restaurants in 18 countries. "We use Exadata Database Service with Exadata X8M infrastructure to accelerate analysis of our customer data warehouses, allowing us to run reports in a few minutes instead of hours," said Wayne Gryzbek, vice president of IT, Martin Brower. "Analyzing larger amounts of data and doing it faster has helped us become more competitive in the marketplace. We look forward to further accelerating analytics and generating deeper customer insights by using the higher levels of performance and capacity available with Exadata Cloud Infrastructure X9M." "What's truly exciting about Oracle's Exadata Cloud Infrastructure X9M announcement is that they're the first to deploy in production the power and performance of AMD CPUs with Intel's persistent memory (PMem) in a single system," said Marc Staimer, senior analyst, Wikibon. "Oracle tightly integrated 64 core AMD CPUs in its Exadata Cloud Infrastructure database servers, RDMA networking, and the latest Ice Lake Intel CPUs with Intel Optane PMem on storage servers. The result is the highest performing enterprise multi-model cloud database platform available today." About Oracle Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud.

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CLOUD SECURITY

AMD Selects Google Cloud to Provide Additional Scale for Chip Design Workloads

AMD | May 21, 2022

Google Cloud and AMD today announced a technology partnership in which AMD will run electronic design automation (EDA) for its chip-design workloads on Google Cloud, further extending the on-premises capabilities of AMD data centers. AMD will also leverage Google Cloud's global networking, storage, artificial intelligence, and machine learning capabilities to further improve upon its hybrid and multicloud strategy for these EDA workloads. Scale, elasticity, and efficient utilization of resources play critical roles in chip design, particularly given that the demand for compute processing grows with each node advancement. To remain flexible and scale easily, AMD will add Google Cloud's newest compute-optimized C2D VM instance, powered by 3rd Gen AMD EPYC™ processors, to its suite of resources focused on EDA workloads. By leveraging Google Cloud, AMD anticipates being able to run more designs in parallel, giving the team more flexibility to manage short-term compute demands, without reducing allocation on long-term projects. "In today's semiconductor environment, the speed, scale, and security of the cloud unlock much needed flexibility," said Sachin Gupta, GM and VP, Infrastructure, at Google Cloud. "We are pleased to provide the infrastructure required to meet AMD's compute performance needs and equip the company with our AI solutions to continue designing innovative chips." "Leveraging the Google Cloud C2D instances powered by 3rd Gen EPYC processors for our complex EDA workloads has helped our engineering and IT teams tremendously. C2D has allowed us to be more flexible and provided a new avenue of high-performance resources that allows us to mix and match the right compute solution for our complex EDA workflows," said Mydung Pham, corporate vice president, Silicon Design Engineering, at AMD. "We're happy to work with Google Cloud to take advantage of their wealth of cloud features and the capabilities of 3rd Gen EPYC." Through this multi-year technology partnership, Google Cloud and AMD will continue to explore new capabilities and innovations, while AMD will enjoy benefits such as: Increased flexibility and choice to run applications in the most efficient manner possible Improved design and operations from applied Google Cloud artificial intelligence and machine learning tools and frameworks More transparency with costs and resource consumption Greater agility and less vendor lock-in About Google Cloud: Google Cloud accelerates every organization's ability to digitally transform its business. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. About AMD For more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies. Billions of people, leading Fortune 500 businesses and cutting-edge scientific research institutions around the world rely on AMD technology daily to improve how they live, work and play. AMD employees are focused on building leadership high-performance and adaptive products that push the boundaries of what is possible.

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Spotlight

In it’s most crude form, Cloud Computing is the digital version of warehousing. Just like its offline counterpart, it was adopted and adapted to reduce the infrastructure costs that companies have to undertake in order to store and safeguard the personal as well as client data.

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