This whitepaper provides guidance on: Understanding the value of Google Cloud managed databases Managing services for maximum compatibility with your workloads Leveraging services that are compatible with the most popular commercial and open source engines, such as MySQL, PostgreSQL, and Redis Using robust tools and services to make migrations simple, secure, and fast with minimal downtime
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This guide provides an introduction to Google Cloud databases tailored for technology decision makers and executives. It provides real-world customer stories that illustrate how leading organizations use Google Cloud database services and details about how you can partner with Google to unlock the power of your data.
Let’s build your migration plan, in 4 simple steps Inside, we outline four key phases of a successful cloud migration and share important considerations along the way: ASSESS: Identify your team, get an overview of your IT landscape, and decide which applications to move first PLAN: Choose the right migration strategies and solutions for your business and test performance in the cloud MIGRATE: Use a phased, agile approach that allows you to revert back to the on-premises configuration if necessary OPTIMIZE: Fine-tune your cloud environment to align usage with demand and implement cost controls and government tools
Most organizations that are running SAP workloads on-premises know that migrating them to the cloud would help them gain agility, increase uptime, and reduce costs. What they might not realize is that the cloud is also a catalyst for the kind of organizational change that’s needed to thrive in today’s fast-evolving times.
We are generating more data by the day fueled by the increasing digitization of business and society. Further, the complexity and speed of data arrival is changing the ecosystem. This data, and its potential to drive better decision making, promises to deliver higher revenues, lower costs, and reduced risk to all types of businesses. However, the most valuable insights no longer come from straightforward sales, inventory, and personnel data.
Improve customer experience, operational efficiency and business innovation In 2014 the top 25 telcos were earning 3 times as much profit as the top 8 Internet companies – by 2019 telcos’ share of profits had fallen to 40% During the same time Internet companies’ share of market capitalisation of those same companies rose from 46% to 78%
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 broadl y adopted cloud platform, AWS can help you lower costs, reduce business risks, improve operational efficiency, become more agile, innovate faster, create new revenue streams, and reinvent customer and employee experience.
Cloud is now the most common attack vector for cyber criminals, so it is critical for all IT teams, especially those using cloud technologies, to realize they can’t achieve true business and operational resiliency with standard cloud native security tools. Instead, all teams must prioritize and adopt a multi-layered cyber security strategy that extends into their cloud technologies to keep data safeguarded, keeping the business resilient and the teams in control. Read our top 10 recommended best practices to implement with your cloud teams immediately.
With most companies prioritizing a multi-cloud strategy, and with 85 percent being cloud first by 2025, it is vital that every cloud leader prioritize best practices and implement a unified data management and protection strategy across their cloud data landscape. Because cloud service providers regularly update and change their support and coverage of the shared responsibility model, confusion can create gaps in security, and prevent you from staying in control of your company data.
Anomaly detection is a powerful early warning system that tracks and alerts for out-of-the-ordinary activity or strange behaviors of your cloud data and user activity. Essentially, it helps to see problems before they occur.