What's the top benefit your organization has realized from migrating to the cloud?

CloudPublic Cloud

Ability to scale up or down to support workloads20%

Flexibility of access27%

Minimal maintenance22%

Increased collabroation16%

Increased uptime/zero risk failure6%

Reduced capital expenditure5%

Increased Security

Other

772 PARTICIPANTS
4.2k viewscircle icon2 Comments
Sort by:
Director in Manufacturing3 years ago

Fast spin up time for a system
Compared to buying hardware, racking, loading OS, configuration to preparation of loading software. Turned months into hours. However manage costs closely. You can burn your budget in a month too!!

Lightbulb on2
CISO in Software4 years ago

Access anywhere, anytime and any place has been a great benefit too.

Content you might like

Does someone have advice on how they have balanced the risk/reward as it relates to introducing Open-Source Software to organization? My org is dipping its toe into the OSS world and the architecture and risk governance teams are looking to get ahead of these requests by coming up with policies and standards for OSS technology being brought into our environment. To clarify, this is not for software development and CI/CD pipelines, SDLC etc. This is for installing solutions that already exist out there (Zabbix, GreyLog, Prometheus etc.) into the organization's environment. We are looking to provide a balance on the obvious risk with the ability to move fast (like everyone else now).

AI and Research in Marketing and Communications: How Are You Ensuring Quality and Truth Over Speed? As AI becomes embedded in our day-to-day marketing operations, from customer insight to content strategy, it’s clear we’re gaining speed and scale. But are we sacrificing veracity and quality of output in the process? One of the biggest challenges I'm seeing is the rise of hallucinated content in AI-generated research.   - How do we ensure AI systems are surfacing trustworthy, contextually accurate, and well-sourced information? - Are we building enough verification layers into our AI-driven content and research workflows? - And how are you educating teams (and execs) to challenge AI outputs, rather than accept them at face value? - What frameworks, tools, or governance models have you adopted to maintain integrity and depth in AI-led research and insight creation? - Have you had success (or struggles) balancing speed vs. substance in AI-powered strategies? Your thoughts, examples, and recommendations would be incredibly valuable in helping others try to navigate this shift responsibly.

What are the biggest technical challenges preventing organizations from being able to use their existing data to enable digital transformation?

Finding data and putting it to good use13%

Controlling the security and privacy of data45%

Understanding how data is currently being used20%

All of the above19%

None of the above1%

View Results

How are global companies typically structured when they have a global CISO and additional CISOs responsible for different regions? In these organizations, how are policies, approval processes, and compliance with local regulations managed across different regions?

Read More Comments

What's your most indispensable cloud infrastructure tools to use in addition to what you get from GCP, AWS, Azure?

HashiCorp (Terraform, Vault, Packer, etc.)22%

Cloud infra automation (Ansible, Puppet, Chef, etc.)56%

APM (Datadog, AppD, SignalFX, NewRelic, etc.)10%

Others?10%

View Results
What's the top benefit your organization has realized from migrating to the cloud? | Gartner Peer Community