"If I had asked people what they wanted, they would have said faster horses." - Henry Ford
In other words, do not try to make horses go incrementally faster, create the automobile (like the Ford Model T). Digital transformation, including its underpinning cloud infrastructure, is meant to deliver innovations that leapfrog the status quo.
The 21st century version uses digital technology and automation to overcome human limitations. Example: Performing calculations in the blink of an eye that would take a person lifetimes to complete. We are often blind to the ways our human limitations can creep into various systems and processes — and this overconfidence in the status quo can be limiting.
According to the results of a recent survey of 350 IT leaders at global organizations, we found evidence of the overconfidence effect in cloud migration.
The overconfidence effect is a well-established cognitive bias where a person's subjective confidence in their judgment is greater than the objective accuracy of those judgments. In short, it is when we systematically overestimate our knowledge and ability to predict on a massive scale.
Here is what we found: 85% of cloud decision makers surveyed feel confident managing their cloud bills, but 82% of respondents have incurred unnecessary cloud costs. Clearly, there is no guarantee that confidence in your cloud cost management capabilities, even among tech-savvy leaders, means you can avoid needless spending.
So, what does this mean for companies in the race to digital transformation?
Obviously, the pandemic accelerated organizations' journey to the cloud to enable agile, on-demand, flexible access to resources, helping them align with a digital business's dynamic needs. We heard from many of our customers at the start of lockdown last year, saying they had to shift to a remote work environment, seemingly overnight, and this effort was heavily cloud-reliant. However, blindly forging ahead can backfire.
This latest survey reveals that in addition to the overconfidence effect, enterprises are facing additional challenges across the hybrid cloud thanks to disjointed point tools, silos, lack of visibility, unexpected costs, lack of programmatic optimization, and the role risk plays in cloud cost management.
Cloud Waste is a Massive Problem
One of the biggest challenges is how to manage workloads operating in the cloud without incurring unexpected and unnecessary costs, which can eat into budgets needed for other areas of transformation. Over the many years we have been working with customers to optimize their cloud infrastructures, we have found that up to a third of their cloud spend is waste.
Clearly this is a rampant problem that continues to plague enterprises. It is important to note that the 82% from the survey represents unnecessary costs that respondents are aware of. It is highly likely that companies are spending far more than they need to without even knowing it.
For example, 56% of respondents lack programmatic cloud cost management capabilities. This can mean either that teams are spending too much time managing cloud costs or that the cloud waste is allowed to fester. Either way, time and money are being spent unwisely. Not only that, it is likely that there is waste that is not being uncovered. And the more the overconfidence effect is at play within an organization, the less likely it is that this waste will be identified.
The lack of visibility across hybrid and multi-cloud environments also blurs the issue. 86% of respondents said they cannot get a global view of cloud costs within minutes, creating delays and potentially reducing agility. 71% of respondents agreed that limited visibility across the hybrid cloud environment hinders their ability to maximize value, creates inefficiencies, and wastes time.
Disjointed tools also present a challenge. 72% of respondents said they are fed up with piecing together disparate management tools to monitor and manage everything from infrastructure performance to migration readiness to cloud cost, and 62% report that they have to cobble together multiple tools, systems, and custom scripts to get a global view of cloud costs. Again, these are the very same respondents who said they are confident in their ability to manage cloud costs.
What Leads to Waste also Impedes Transformation
Lack of programmatic management, limited visibility, and disparate tools affect more than just cloud costs. IT leaders are also grappling with issues that could hamper a successful digital transformation. 68% of survey respondents stated that their teams operate in silos, and 70% said that limited collaboration hinders their ability to adapt quickly and improve business outcomes.
Additionally, 66% of respondents stated that it is hard to understand if they are delivering the service levels the business needs, and 65% agreed that when there is an issue, they are hard-pressed to identify the business impact.
Finally, 77% cited increased performance issues as one of the reasons that pressure on cloud teams is on the rise.
The bottom line is that if you do not know what is going on across your entire infrastructure, you do not know if you are adequately serving the needs of the business and you cannot deliver performance levels that the business demands, which means that you have not met some of the foundational needs of digital transformation.
Clearing the way to cost-effective transformation
Wherever you have "seams" in your cloud monitoring and management — whether that is a result of multiple clouds, siloed teams, disparate tools, or time lags, for example — you have blind spots where unnecessary costs and other problems can hide. Combine that with the overconfidence effect and those risks only go up. A single modular platform can eliminate those seams and create appropriate levels of confidence rooted in data to de-risk cloud migrations; deliver deep precision observability into workloads before, during, and after a move; and optimize and manage efficiently once workloads are in the cloud.
This is underscored by Archana Vankatarman, Associate Research Director of Cloud Data Management at IDC Europe who said, "The duct-taped point tools and silos can make cloud cost management complex. The belief that they are wasting at least 15% of their public cloud spending will drive enterprises to actively invest in cloud cost management to halve cloud waste."
The bottom line is that cloud management is always changing. If you feel confident about your cloud costs based on your gut, think again. Have the right tools to know before you go forward with any initiative. In the end, you will not be upset that you took the time to get it right — and save money.
Methodology: Arlington Research, commissioned by Virtana, surveyed 350 cloud decision makers in April 2021 at US- and UK-based organizations with 250+ employees to better understand multi-cloud deployment experiences.
Most enterprise IT organizations struggle with network and cloud infrastructure configuration management and worry that their networks will fail configuration compliance audits. This issue is amplified as enterprise network engineers continue to take the "if it's not broke, don't fix it" approach to network infrastructure management ...
The shift to containers and microservices is a key component of the digital transformation and shift to an all encompassing digital experience that modern customers have grown to expect. But these seismic shifts have also presented a nearly impossible task for IT teams: achieve ceaseless innovation whilst maintaining an ever more complex infrastructure environment, one that tends to produce vast volumes of data. Oh and can you also ensure that these systems are continuously available? ...
As part of 2022 APM Predictions list, APMdigest asked industry experts to predict how Digital Transformation will evolve and impact business in 2022 ...
As part of APMdigest's list of 2022 predictions, industry experts offer thoughtful and insightful predictions on how Cloud will evolve and impact business in 2022 ...
As part of APMdigest's list of 2022 predictions, industry experts offer thoughtful and insightful predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2022 ...
Gartner highlighted 6 trends that infrastructure and operations (I&O) leaders must start preparing for in the next 12-18 months ...
Technology is now foundational to financial companies' operations with many institutions relying on tech to deliver critical services. As a result, uptime is essential to customer satisfaction and company success, and systems must be subject to continuous monitoring. But modern IT architectures are disparate, complex and interconnected, and the data is too voluminous for the human mind to handle. Enter AIOps ...
Having a variety of tools to choose from creates challenges in telemetry data collection. Organizations find themselves managing multiple libraries for logging, metrics, and traces, with each vendor having its own APIs, SDKs, agents, and collectors. An open source, community-driven approach to observability will gain steam in 2022 to remove unnecessary complications by tapping into the latest advancements in observability practice ...
These are the trends that will set up your engineers and developers to deliver amazing software that powers amazing digital experiences that fuel your organization's growth in 2022 — and beyond ...
In a world where digital services have become a critical part of how we go about our daily lives, the risk of undergoing an outage has become even more significant. Outages can range in severity and impact companies of every size — while outages from larger companies in the social media space or a cloud provider tend to receive a lot of coverage, application downtime from even the most targeted companies can disrupt users' personal and business operations ...