Infrastructure, Cloud & DevOps

  • The need to accelerate IT operations is perhaps more urgent than ever, as business and other organizational leaders look directly to IT to enable fast business decision-making. The good news is that technology quivers are brimming with tools to support operations acceleration, enabling organizations to speed both insights and outcomes as well as create an effective hybrid cloud ecosystem that is seamless and secure. Infrastructure modernization is evolving quickly, but bumps remain on the road toward cloud-like IT efficiency on premises and effective integration with public cloud infrastructure services.

    To determine the current state of infrastructure modernization across the distributed cloud, Enterprise Strategy Group surveyed 377 IT professionals in North America (US and Canada) responsible for evaluating, purchasing, building, and managing application infrastructure in their organization.

    This study sought to answer the following questions:

    • How fast do IT teams need to deploy applications and infrastructure compared with three years ago?
    • How are organizations responding to the need to accelerate IT operations?
    • How are IT budgets allocated between data centers and off-premises locations such as public cloud infrastructure services and edge?
    • What is the distribution of production applications between on-premises infrastructure and public cloud infrastructure services or platforms? How will this change in 24 months?
    • Are organizations deploying existing cloud applications or new applications on premises? Are organizations deploying existing on-premises or new applications on cloud infrastructure services?
    • How many cloud services providers are organizations using? What benefits do they seek?
    • What challenges do organizations face with multi-cloud deployments in terms of application deployment, management, and migration?
    • Are organizations using one primary cloud services provider or do they distribute requirements evenly across their providers?
    • What tools or technologies are organizations using to enable infrastructure automation? In which locations are these tools or technologies deployed?
    • What processes do organizations automate with infrastructure automation tools? What benefits do organizations seek from this automation? What challenges do they encounter?
    • What criteria are most important when selecting infrastructure automation tools?
    • How important are APIs in terms of supporting IT operational metrics or key performance indicators? What are the key selection criteria for APIs?
    • How often do organizations move data between data centers and public cloud services? What are the use cases for this movement?
    • How often do organizations move data between multiple cloud services providers? What are the use cases for this movement?

    Survey participants represented a wide range of industries, including manufacturing, technology, financial services, and retail/wholesale. For more details, please see the Research Methodology and Respondent Demographics sections of this report.

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  • Discover what’s trending on our network to engage IT buyers in market now and improve marketing and sales effectiveness. This report covers trending areas of interest across 240+ IT markets over the last 6 months (April 2023 – September 2023) in five (5) regions across the TechTarget & BrightTALK network: WW, NA, EMEA, APAC, LATAM.

    In this report you will find:


    • The top 20 broad technology markets driving the most activity in the past 6 months. Activity data can help show where audience research is growing or declining and therefore help reinforce which markets are on the rise or declining.


    • The top 25 granular topics growing the most across the TechTarget and BrightTALK network in the last 6 months. This gives insight into the content areas that are on the rise right now to leverage in your conversations.

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  • Modern IT environments are often marked by a labyrinth of applications being deployed in various on-premises and off-premises locations based on myriad factors like use case, compliance, team preference, and many more. Though many organizations prefer to deploy new applications on cloud infrastructure for cost and agility benefits, there are instances where even those firms keep workloads in the data center. Recently, TechTarget’s Enterprise Strategy Group had the opportunity to ask IT professionals why this is sometimes the case.

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  • In contending with a variety of deployment locations to maximize the use, effectiveness, security, and compliance of myriad applications in use by their organizations, IT professionals tasked with infrastructure management must establish effective policies to guide decisions. While some organizations deploy nearly all new applications in the cloud as a rule, many also consider the individual needs of the application at hand. Recent research by TechTarget’s Enterprise Strategy Group revealed interesting motivations behind the use of both policies.

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  • A variety of distributed applications are powering today’s businesses. As such, the connections and net-functionality of these applications are a critical focus for the teams tasked with maintaining them. Recent research by TechTarget’s Enterprise Strategy Group reveals a complex landscape here, fraught with challenges, negative service impacts, and difficult decisions.

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  • The pervasive use of public cloud providers has unlocked agility, cost-savings, and more for modern IT organizations. But one provider often can’t do it all for every business. Recent research from TechTarget’s Enterprise Strategy Group reveals some interesting findings regarding IT teams’ decisions to utilize a secondary cloud provider beyond their primary vendor.

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  • Cross-cloud Application Migration Becomes Commonplace

    The modern infrastructure environments most IT teams contend with demand conscious deployment decisions based on the requirements of the business line, security, compliance and governance considerations, and much more. Recent research by TechTarget’s Enterprise Strategy Group revealed that migrating workloads to, from, and between clouds is increasingly common as organizations balance these considerations across the intricate web of their evolving modern environments.

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  • IT organizations are contending with distributed environments spanning their traditional on-premises data centers, multiple public cloud providers, and the edge and colocation locations that fall in between. Recent research by TechTarget’s Enterprise Strategy Group reveals that, in addition to the application deployment and management decisions that accompany these environments, modern IT organizations have some interesting decisions to make when it comes to their spending on the related technologies.

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  • The use of two or more cloud computing services (i.e., multi-cloud strategies) is a modern reality for businesses looking to serve the technology requirements of their teams and thrive in a competitive landscape. TechTarget’s Enterprise Strategy Group recently surveyed IT professionals on the status of their multi-cloud strategies (and providers) today.

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  • As AI continues its meteoric rise into business and IT environments, organizations are rapidly assembling or accelerating strategies to support AI technologies across every applicable area. While many organizations are consistent in their efforts to build AI strategies, the components and direction of those strategies often vary. TechTarget’s Enterprise Strategy Group recently surveyed data and IT professionals responsible for the infrastructure supporting AI initiatives at their organization to gain insights into these trends.

    To learn more about these trends, download the free infographic, Navigating the Evolving AI Infrastructure Landscape.

  • As AI continues its meteoric rise into business and IT environments, organizations are rapidly assembling or accelerating strategies to support AI technologies across every applicable area. Unlike niche technologies that impact only certain processes or personnel, AI has wide-ranging potential to transform entire businesses, IT environments, and associated teams. In turn, AI strategies must be multi-pronged efforts that properly align business objectives with AI initiatives and expectations, which requires thorough participation from stakeholders across the organization. The underlying infrastructure and other supportive elements must be fully capable of supporting that tandem strategy.

    While many organizations are consistent in their efforts to build AI strategies, the components and direction of those strategies often vary. To assess the evolving AI landscape and the infrastructure that supports it, TechTarget’s Enterprise Strategy Group surveyed 375 data and IT professionals in North America (US and Canada) responsible for strategizing, evaluating, purchasing, and/or managing infrastructure specifically supporting AI initiatives for their organization. This study sought to answer the following questions:

    • What are the primary business objectives for implementing AI? How long does it take for organizations to start seeing value from AI initiatives?
    • What are the top challenges organizations encounter when implementing AI?
    • What individuals or teams influence decision making related to infrastructure used to support AI initiatives? Which of these has the most influence on final decisions?
    • How are organizations planning to address skills gaps related to the selection, implementation, and management of infrastructure supporting AI initiatives?
    • In which physical locations do organizations primarily deploy their AI infrastructure? What are the top factors that influence the choice of these locations? Are AI environments mostly centralized, mostly decentralized, or an even mix of both?
    • What capabilities of AI infrastructure are most important?
    • Are organizations using internal resources, third-party resources, or both to manage their AI infrastructure?
    • How important is sustainability and environmental responsibility when selecting AI infrastructure? How important is a vendor’s stance on these factors when making purchase decisions for AI infrastructure?
    • What types of data do organizations use to build and train AI models and algorithms? What steps do organizations take to ensure accuracy in the data used for building and training these models?
    • How do organizations handle the movement of the large amounts of data required to support AI initiatives? What challenges are involved with this process?
    • How are organizations using synthetic and third-party data to support AI model training?
    • How are organizations using generative AI (GenAI)? What challenges are they encountering?
    • To what extent are developers leveraging AI infrastructure resources? How do developers access these resources?
    • How do organizations measure the success and effectiveness of AI initiatives?
    • What is AI’s impact on employee productivity, processes, workflows, competitiveness, and other factors?

    Survey participants represented a wide range of industries, including financial, manufacturing, retail/wholesale, and healthcare, among others. For more details, please see the Research Methodology and Respondent Demographics sections of this report.

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  • The need for observability in IT operations management is driven by the desire for organizations to reduce downtime, increase operational security, and improve customer, digital, and employee experiences. In IT operations management, the addition of distributed and multi-cloud, cloud-native development and architectures means that the infrastructure is much more complex. Against this backdrop, IT and DevOps teams are embracing observability and, to a lesser extent, AIOps to help them instrument and monitor their infrastructure and applications.

    Learn more about these trends with this free infographic.