Cloud Migration Guide: SQL Server to AWS

May 30, 2021

The Microsoft Data Platform technology landscape is rapidly advancing, with increased release cadence and new capabilities regularly added. Businesses need to evolve their data platform strategies—migrating to the cloud is a key pillar of this strategy. Amazon Web Services (AWS) can deliver greater agility and operational efficiencies when running SQL Server in the cloud.

However, transitioning from on-premises to a cloud or hybrid cloud data platform can be difficult without the right solutions to help discover, document, and validate migration activities. Whether moving to Infrastructure as a Service (IaaS) or Platform as a Service (PaaS), SolarWinds provides a couple of solutions designed to reduce the risks and time taken to perform cloud migrations to AWS.

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CI&T

CI&T is the digital technology agency empowering Agile Growth for the world’s biggest companies by leveraging advanced technologies including Cloud, IoT, Big Data, Machine Learning/AI, Social, Mobility.

OTHER WHITEPAPERS
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Building Resilience: Cloud Adoption in Southeast Asia’s Financial Sector

whitePaper | September 18, 2021

The Milken Institute Asia Center extends the reach and impact of Milken Institute programs, events, and research to the Asia-Pacific region. We identify opportunities to leverage the Institute’s global network to tackle regional challenges, as well as to integrate the region’s perspectives into the development of solutions to persistent global challenges.

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Long-Term Data Retention to Cloud Object Storage with Veritas NetBackup

whitePaper | May 13, 2021

This white paper provides a technical overview of cloud storage as a long-term retention storage solution with Veritas NetBackup™. It highlights the overall solution architecture components, integration flow and best practices.

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Cloud Agent Getting Started Guide

whitePaper | February 17, 2022

Qualys, Inc. is a pioneer and leading provider of cloud-based security and compliance solutions. The Qualys Cloud Platform and its integrated apps help businesses simplify security operations and lower the cost of compliance by delivering critical security intelligence on demand and automating the full spectrum

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A Real-World Approach to Managing Hybrid IT Ecosystems

whitePaper | April 12, 2021

In this eBook, we’ll explore the evolution of the enterprise data center, impacts of cloud-powered digital solutions, and how to manage hybrid IT solutions. Operators of enterprise data centers face a rapidly evolving technology landscape and a cloud-powered wave of disruption that is changing business models, connectivity, workload management and much more. Driving this change is the growing availability and adoption of opex-based ‘off-premises’ services, such as public cloud, X-as-a-service and colocation data center offerings. Yet not all workloads are being, or can be, outsourced. This means that operators are increasingly managing ‘hybrid’ IT environments – that is, a mix of off-premises services and privately owned, internal ‘on-premises’ data center capacity.

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An Overview of the AWS Cloud Adoption Framework

whitePaper | March 29, 2022

As the proliferation of digital technologies continues to disrupt market segments and industries, adopting Amazon Web Services (AWS) can help you transform your organization to meet the changing business conditions and evolving customer needs. As the world’s most comprehensive and broadly adopted cloud platform, AWS can help you lower costs, reduce business risks.

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Artificial Intelligence and Cloud Computing

whitePaper | November 26, 2019

The buzz surrounding artificial intelligence (AI) is hard to ignore. Huge data sets and large amounts of compute are the perfect match for deep learning, astonishing us with algorithms that have beaten grandmasters at games of chess and Go. Today, with access to no more than a web browser, the benefits enabled by breakthroughs in image and speech recognition not to mention machine translation and more are just a few clicks away. There’s the growth of the cloud to consider too. We’re depositing more and more of our data on virtual drives that make it easier to share, back-up and transfer information providing us with new opportunities both in the office and at home. But what do machine learning and cloud computing mean for scientific research? How can these tools help researchers to manage and navigate the vast datasets generated by increasingly sophisticated detectors and experiments? At big science facilities, data streams that used to be megabits per second are now hundreds of times faster, sometimes even more, as detector upgrades come online and new instruments are installed. That’s a lot of data to analyse and verify.

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Spotlight

CI&T

CI&T is the digital technology agency empowering Agile Growth for the world’s biggest companies by leveraging advanced technologies including Cloud, IoT, Big Data, Machine Learning/AI, Social, Mobility.

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