Infrastructure, Cloud & DevOps

  • Research Objectives

    In today’s fast-paced business landscape, organizations must be sufficiently agile and flexible to meet the evolving needs of their customers. However, many still rely on legacy applications that can struggle to handle the demands of modern-day business requirements. This can create significant challenges for IT departments that are tasked with maintaining business operations while transitioning to more modern approaches that drive their organizations forward. To overcome these challenges, organizations are increasingly turning to a “cloud-first” strategy for their digital transformation initiatives. This approach involves prioritizing cloud-based, developer-friendly solutions over traditional on-premises software and infrastructure, allowing organizations to leverage the scalability, flexibility, and cost-effectiveness of cloud computing to improve their operations, increase agility, and meet the needs of their customers more effectively.

    To assess the landscape for cloud-native applications and methodologies, Enterprise Strategy Group surveyed 378 IT and DevOps/AppDev 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:

    • What percentage of production applications are currently based on a microservices cloud architecture today?
    • Where are organizations deploying (or planning to deploy) cloud-native applications?
    • What are the biggest challenges with cloud-native applications?
    • How are microservices improving processes across the organization? What are the most impactful benefits?
    • What are the biggest challenges or concerns with applications based on a microservices architecture?
    • How many containers are supported within today’s environments? What is the preference for orchestration?
    • What approaches are organizations employing to manage multi-cluster and multi-namespace deployments?
    • What is driving the use of serverless functions?
    • What types of tools and technologies are used to build and deliver cloud-native applications?
    • What is the adoption status of infrastructure-as-code (IaC) templates?
    • How do organizations distribute their development team’s time across tasks?
    • How extensively are organizations using DevOps methodologies?
    • What is the maturity level of organizations’ continuous integration and continuous delivery (CI/CD) initiatives?
    • How extensively are organizations using GitOps approaches to automate application builds?
    • How often do organizations typically deploy new code to production environments?
    • What individuals or groups have the most influence on decisions around cloud-native applications?
    • What are organizations’ perceptions around the effectiveness of their development teams?
    • How confident are organizations in their development team’s ability to ship secure code at an efficient pace?
    • How will spending on cloud-native technologies, services, and personnel change over the next 12-18 months?
    • What actions will organizations take to optimize their cloud-native application development strategies?

    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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  • Cloud Cost Analysis Is Universal and Impactful

    The use of third-party cloud cost estimation and modeling tools has become a standard and essential practice for enterprise IT buyers. As the number and diversity of deployment options for applications and data have ballooned in recent years, decision makers find themselves overloaded with alternatives and needing help identifying the ideal deployment location and approach. Enterprise Strategy Group recently researched this trend to find out how prevalent the use of these tools is today as well as highlight the specific impacts they have on buying decisions.

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  • Research Objectives

    • Identify the value that organizations are receiving from observability and the challenges they face.
    • Determine the current state of observability in the enterprise.
    • Characterize firms that are intending to purchase observability tools.
    • Monitor the adoption of observability and AIOps tools in enterprises and midmarket organizations.

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  • Increased IT complexity and the need to focus resources on strategic initiatives are pushing IT leaders to embrace product options that support technology convergence and platform consolidation. Integrated solutions from multiple vendors are a viable option to achieve those goals. Research from TechTarget’s Enterprise Strategy Group found that boosting IT team productivity is the leading business driver for buying integrated solutions and that business expectations are being fully met or exceeded in a majority of cases.

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  • Various challenges complicate the process of researching, evaluating, purchasing, and deploying integrated solutions from strategic vendor partners. Research by TechTarget’s Enterprise Strategy Group found that current users encounter unique challenges in each stage—and for each stage, only about one-fifth of survey respondents said they didn’t experience any challenges. The often self-guided education that occurs during the research stage of the buyer’s journey is critical not only for solution selection, but also for project success and follow-on investments with the providers of the integrated solution. Buyers need to push solution vendors to address common challenges, while partnering vendors must take a unified approach in doing so.

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  • Cloud & IT Operations

    The democratizing forces of cloud are changing the dynamics by which businesses compete.

    ESG’s research shows that Cloud ranks 3rd among broad IT initiatives that have become significantly more important to organizations’ futures in the past two years.

    Businesses are moving toward a hybrid blend of private and multi-public cloud consumption. The cloud purchase research we observe is focused on cloud migration, cloud security, monitoring and observability across multi-cloud and hybrid cloud environments, and digital transformation. Enterprise Strategy Group’s Cloud & IT Operations analysts and demand-side research cover all facets of cloud and IT operations and observability, including:

    • AIOps
    • Cloud infrastructure management
    • ESG/Sustainability
    • FinOps
    • IT asset management
    • IT operations management
    • IT service management
    • Observability
    • Systems management

    Research Brief

    Industries Dive Headfirst Into AI-enhanced Observability

    Observability vendors are in a race to leverage AI to automate root cause analysis, enable self-healing, optimize resources, reduce alert noise, automate log analysis, and deliver contextualized actionable insights to end users. Organizations across industries recognize that implementing AI-enhanced observability tools can give them strategic insights that optimize the economics of their application development and […]

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    Analysts Covering Cloud & IT Operations

    Jon Brown

    Senior Analyst, Data Protection, Ops & Sustainability

    Areas of Expertise

    • AIOps
    • Backup
    • Business Continuity/Disaster Recovery
    • Data Protection
    • DRaaS
    • FinOps

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    Aaron Tan

    Regional Director, Analyst Services, APAC

    Areas of Expertise

    • Application Modernization & DevOps
    • Business Applications
    • Cloud Computing
    • Cybersecurity
    • DevOps
    • IaaS/Cloud

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  • Infrastructure

    The cloud experience has been too beneficial to be isolated to off-premises public cloud services alone.

    ESG’s latest research shows that building an enterprise hybrid cloud infrastructure is a top IT initiative for organizations

    Enterprise Strategy Group’s Infrastructure analysts and demand-side research cover every aspect of an organization’s infrastructure strategy and technology framework, including:

    • Cloud-native storage
    • Composable
    • Computational storage
    • Data storage (block, file, object)
    • Hybrid cloud
    • Converged/Hyperconverged infrastructure (HCI)
    • Infrastructure as a Service
    • Intelligent/Automatic infrastructure
    • Kubernetes
    • Server/Compute

    Research Brief

    Container Orchestration Deployments Show Penchant for Wide Variety

    Thanks to the well-known portability and efficiency benefits they offer, containers are a mainstay in many organizations’ IT strategies today. Recent research by TechTarget’s Enterprise Strategy Group revealed that as teams turn their attention to container orchestration deployment and look to match the right approach with their specific operating requirements, they display a penchant for […]

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    Analysts Covering Infrastructure

    Simon Robinson

    Principal Analyst, Storage & Converged Infrastructure

    Areas of Expertise

    • Cloud-attached Storage
    • Cloud-native Storage
    • Flash-based Storage
    • Hybrid Cloud
    • Hyperconverged infrastructure
    • Infrastructure-as-a-Service (IaaS)

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    Scott Sinclair

    Practice Director, Infrastructure, Cloud & DevOps

    Areas of Expertise

    • Cloud-native Storage
    • Composable
    • Computational Storage
    • Data Storage
    • Hybrid Cloud
    • Hyperconverged (HCI)

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    Aaron Tan

    Regional Director, Analyst Services, APAC

    Areas of Expertise

    • Application Modernization & DevOps
    • Business Applications
    • Cloud Computing
    • Cybersecurity
    • DevOps
    • IaaS/Cloud

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  • Application Modernization

    Cloud-native applications and modernized infrastructure are a de facto prerequisite for successful transformation projects.

    Keeping up with advances in technology on top of maintenance means developers have a lot on their plates.

    Our latest research shows increasing focus on improving efficiency via automation and using low-code/no-code to enable developers and citizen developers to deliver apps faster.

    Enterprise Strategy Group’s Application Modernization analysts and demand-side research cover all aspects of the application modernization ecosystem, including:

    • Application build, delivery, release, testing
    • Application integration & development
    • Application modernization & observability
    • Cloud-native technologies
    • Content management systems & digital experience platforms
    • Continuous integration/Continuous delivery (CI/CD)
    • DevOps, site reliability engineering (SRE) & platform engineering
    • Digital transformation
    • Infrastructure modernization
    • Integration & orchestration
    • Kubernetes & containers
    • On-premises, cloud & hybrid infrastructure
    • Open-source software

    Research Report

    Application Modernization and the Role of Platform Engineering

    Platform engineering is the foundation of digital transformation success, as this discipline directly affects an organization’s ability to rapidly, continuously, and cost-effectively deliver high-quality software in anticipation of and in response to complex and dynamic market requirements. Today’s landscape of cloud-native tools, technologies, infrastructure resources, and application development paradigms ultimately define optimal platform engineering strategies, […]

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    Analysts Covering Application Modernization

    Aaron Tan

    Regional Director, Analyst Services, APAC

    Areas of Expertise

    • Application Modernization & DevOps
    • Business Applications
    • Cloud Computing
    • Cybersecurity
    • DevOps
    • IaaS/Cloud

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    Torsten Volk

    Torsten Volk

    Principal Analyst, Application Modernization

    Areas of Expertise

    • Application Modernization
    • Cloud-native Applications
    • DevOps and CI/CD
    • Hybrid & Multi-cloud
    • Infrastructure-as-Code & GitOps
    • Observability, Monitoring & APM

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  • Networking

    Networking infrastructures and operations continue to evolve to keep pace with changes in data centers, remote/branch offices, and endpoint devices.

    Data growth, virtualization, AI, cloud consolidation, and next-gen web applications are driving the need for enhanced networking infrastructure performance, elasticity, and scalability. 

    Our Networking analysts and demand-side research cover every aspect of an organization’s networking strategy and technology framework, including:

    • 4G/5G private networks
    • AIOps & network automation
    • Campus networks
    • Cloud-based network management
    • Convergence of IoT, IT & OT
    • Data center networks
    • Multi-cloud networking
    • Network performance management
    • Network as a Service (NaaS)
    • Remote work
    • SASE/SD-WAN
    • Telecommunication networks
    • Unified network management
    • WiFi

    Research Brief

    Convergence and Collaboration Efforts in Application Security

    Securing applications against exploit, denial of service, and other forms of cyberattack is a mission-critical goal for many cybersecurity teams today. However, due to the distributed nature of most IT environments, responsibility for application security involves a range of roles and teams such as those supporting cloud computing, on-premises technologies, networking, fraud, application development, and […]

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    Analysts Covering Networking

    Jim Frey

    Principal Analyst, Networking

    Areas of Expertise

    • AI in Networking
    • Cloud Networking
    • Datacenter Networking
    • Network Automation
    • Network Management & Observability
    • Network-as-a-Service (NaaS)

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    Aaron Tan

    Regional Director, Analyst Services, APAC

    Areas of Expertise

    • Application Modernization & DevOps
    • Business Applications
    • Cloud Computing
    • Cybersecurity
    • DevOps
    • IaaS/Cloud

    Read more

  • As organizations continue to adopt multiple public cloud providers, maintain multiple data centers, and scale edge and colocation environments, IT decision makers must consider a wealth of locations to deploy new workloads and migrate existing workloads.

    Learn more about these trends with the infographic, Multi-cloud Application Deployment and Delivery Decision Making.

  • Aviv Kaufmann

  • Bill Lundell