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Hybrid Cloud Management Platforms Help Control Data and Costs

More enterprises are implementing hybrid cloud management platforms as they diversify their IT environments to overcome the limits of relying solely on public clouds, according to a new research report published by Information Services Group (ISG).

The 2024 ISG Provider Lens™ global Private/Hybrid Cloud — Data Center Solutions report finds that organizations want the flexibility, scalability and agility of cloud computing while addressing their unique operational, regulatory and security challenges. In many cases, intelligently planned hybrid cloud platforms help them control expenses, data residency and compliance.

"Companies that are worried about the economy want to get more out of their IT investments," said Anay Nawathe, ISG cloud delivery lead. "With strong management, private and hybrid cloud infrastructures can maximize operational efficiency and financial resilience."

Along with these benefits, hybrid clouds bring more complexity, especially with the need for resource coordination across platforms and smooth data flow between on-premises and cloud infrastructure, ISG says. This requires specialized tools and skills, so enterprises are implementing hybrid cloud management platforms that let them get the most out of each cloud environment and minimize performance bottlenecks.

Organizations are also under pressure to make IT infrastructure more resilient, increasing the demand for backup and disaster recovery platforms, the report says. These create copies of critical data and systems so operations can quickly resume after a cyberattack or natural disaster. Scalable, secure and cost-effective resiliency solutions are becoming as crucial as primary on-premises and public cloud infrastructure.

AI and ML play growing roles in both cloud management and resilience platforms, ISG says. Companies are embracing AI and ML cloud management tools that use data from various sources to predict downtime and initiate self-healing tools, enhancing reliability. Such technologies are also being used to automate backup and recovery platforms, some of which use algorithms to identify and respond to anomalies or threats in real time.

"Faster response and recovery to a disruption minimizes any loss of revenue and productivity, while at the same time improving customer satisfaction," said Jan Erik Aase, partner and global leader, ISG Provider Lens Research. "Vendors are helping enterprises achieve these gains through AI and automation."

Companies are also tightening control over data in both cloud management and resilience platforms using privacy-enhancing features, the report says. These include access controls and encryption key management that allow them to define and enforce granular access policies.

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Hybrid Cloud Management Platforms Help Control Data and Costs

More enterprises are implementing hybrid cloud management platforms as they diversify their IT environments to overcome the limits of relying solely on public clouds, according to a new research report published by Information Services Group (ISG).

The 2024 ISG Provider Lens™ global Private/Hybrid Cloud — Data Center Solutions report finds that organizations want the flexibility, scalability and agility of cloud computing while addressing their unique operational, regulatory and security challenges. In many cases, intelligently planned hybrid cloud platforms help them control expenses, data residency and compliance.

"Companies that are worried about the economy want to get more out of their IT investments," said Anay Nawathe, ISG cloud delivery lead. "With strong management, private and hybrid cloud infrastructures can maximize operational efficiency and financial resilience."

Along with these benefits, hybrid clouds bring more complexity, especially with the need for resource coordination across platforms and smooth data flow between on-premises and cloud infrastructure, ISG says. This requires specialized tools and skills, so enterprises are implementing hybrid cloud management platforms that let them get the most out of each cloud environment and minimize performance bottlenecks.

Organizations are also under pressure to make IT infrastructure more resilient, increasing the demand for backup and disaster recovery platforms, the report says. These create copies of critical data and systems so operations can quickly resume after a cyberattack or natural disaster. Scalable, secure and cost-effective resiliency solutions are becoming as crucial as primary on-premises and public cloud infrastructure.

AI and ML play growing roles in both cloud management and resilience platforms, ISG says. Companies are embracing AI and ML cloud management tools that use data from various sources to predict downtime and initiate self-healing tools, enhancing reliability. Such technologies are also being used to automate backup and recovery platforms, some of which use algorithms to identify and respond to anomalies or threats in real time.

"Faster response and recovery to a disruption minimizes any loss of revenue and productivity, while at the same time improving customer satisfaction," said Jan Erik Aase, partner and global leader, ISG Provider Lens Research. "Vendors are helping enterprises achieve these gains through AI and automation."

Companies are also tightening control over data in both cloud management and resilience platforms using privacy-enhancing features, the report says. These include access controls and encryption key management that allow them to define and enforce granular access policies.

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...