Inefficient Apps Cause Overspending by Millions on Cloud
December 10, 2019
Share this

Enterprises with services operating in the cloud are overspending by millions due to inefficiencies with their apps and runtime environments, according to a poll conducted by Lead to Market, and commissioned by Opsani.

69 Percent of respondents report regularly overspending on their cloud budget by 25 percent or more, leading to a loss of millions on unnecessary cloud spend. Respondents were a mix of 100 companies using the leading public clouds — AWS, Azure, and Google — internal clouds, and "others," that were verified as spending more than $5 million annually on the cloud.

Gartner predicts that by 2022 overall cloud spend will reach more than $330 billion. Current estimates reveal that, even now, billions of this is the result of needless and wasted outlay. Why? Because resources are over-provisioned in order to buy peace of mind, and performance tuning is only happening in scenarios when an SLA isn't met, instead of continuously, as new code is released.

Of the poll respondents, 45 percent are releasing software in weekly, daily or hourly sprints. 65 percent of these companies plan on deploying their mainstream production applications on containers within the next 12 months. However, despite this trend toward DevOps and microservices, only 43 percent of respondents are confident their applications are running efficiently in the cloud, which leads to sub-par user experiences and over-paying for unneeded resources.

Modern enterprises are neglecting the post-release portion of the delivery pipeline — continuous optimization of live cloud apps and their environments.

Survey respondents indicated that:

■ 49 percent cite improving application performance as the most important priority for their organization.

■ 54 percent report that their organization has only optimized their application stack in the event of an emergency.

■ 48 percent point to manual time-consuming processes as the biggest hurdle to application optimization due to complexity; even a simple five container application can have more than 255-trillion resource and basic parameter permutations. It's beyond human scale.

Polled companies were also asked what their biggest priorities were for DevOps moving forward. Options were: reducing cloud spend by more than 30 percent, improving application performance by more than 20 percent, or accelerating release cycles by more than 200 percent:

■ Reducing cloud spend by more than 30%: 39 percent of respondents

■ Getting 20% better app performance: 32 percent of respondents

■ Accelerating release cycles by more than 200%: 23 percent of respondents

And overspending for cloud apps only goes up as services get traction. Take a company currently spending $50mm on the cloud. If it's growing at 20 percent year-on-year, the total cloud spend will be more than $372mm over the next five years. 20 percent of that $372mm is unnecessary spend — that's more than $60mm in overspend.

"Modern enterprises are using the cloud to reduce the costs of operating data centers, scale exponentially, bring value-added services online faster and more efficiently, and enjoy the flexibility of using resources as needed," said Ross Schibler, co-founder and CEO, Opsani. "But, operating in the cloud comes with costs that, if not managed continuously, can climb fast due to over provisioning and a lack of visibility into how live applications are affected by the CI/CD toolchain. Even small changes to live code disrupt tuned applications that lead to weak performance and higher costs."

Share this

The Latest

May 20, 2024

Amid economic disruption, fintech competition, and other headwinds in recent years, banks have had to quickly adjust to the demands of the market. This adaptation is often reliant on having the right technology infrastructure in place ...

May 17, 2024

In MEAN TIME TO INSIGHT Episode 6, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network automation ...

May 16, 2024

In the ever-evolving landscape of software development and infrastructure management, observability stands as a crucial pillar. Among its fundamental components lies log collection ... However, traditional methods of log collection have faced challenges, especially in high-volume and dynamic environments. Enter eBPF, a groundbreaking technology ...

May 15, 2024

Businesses are dazzled by the promise of generative AI, as it touts the capability to increase productivity and efficiency, cut costs, and provide competitive advantages. With more and more generative AI options available today, businesses are now investigating how to convert the AI promise into profit. One way businesses are looking to do this is by using AI to improve personalized customer engagement ...

May 14, 2024

In the fast-evolving realm of cloud computing, where innovation collides with fiscal responsibility, the Flexera 2024 State of the Cloud Report illuminates the challenges and triumphs shaping the digital landscape ... At the forefront of this year's findings is the resounding chorus of organizations grappling with cloud costs ...

May 13, 2024

Government agencies are transforming to improve the digital experience for employees and citizens, allowing them to achieve key goals, including unleashing staff productivity, recruiting and retaining talent in the public sector, and delivering on the mission, according to the Global Digital Employee Experience (DEX) Survey from Riverbed ...

May 09, 2024

App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...

May 08, 2024

Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...

May 07, 2024

As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...

May 06, 2024

The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...