The 3 Biggest Hybrid Cloud Potholes on the Road to Digital Transformation
June 03, 2021

Grant Ho
CloudBolt

Share this

IT leaders across the board agree that hybrid cloud is essential for digital transformation (94%), according to the The Truth About Hybrid Cloud and Digital Transformation, a report from CloudBolt and social research platform Pulse to survey IT executives on hybrid cloud's role in digital transformation. The March 2021 survey received over one hundred responses from executives at enterprises with over 1,000 employees from the Americas, EMEA, and APAC.

The survey also confirmed the vital role played by automation, self-service IT, and continuous optimization of cloud spend on the digital transformation journey — and how most of these organizations are experiencing significant stumbling blocks in these very areas.

It appears that a new cloud order is emerging and suddenly, what has been good enough no longer is. Specifically:

1. You'll Never Have "Self-Service IT" Without Simplicity

Self-service IT aims to empower DevOps and other enterprise users, allowing them to access the resources they need, when they need them. At the same time, it should enable IT admins to maintain control over security, permissions, and configurations. When properly implemented, self-service IT can prevent the growth of "shadow IT," that is, developers going around IT and procuring their own resources, such as spinning up public cloud services with a credit card. According to Gartner, shadow IT accounts for 30-40% of enterprise IT budgets.

But what good is self-service if you can't actually serve yourself? Sadly, that seems to be the case for the majority of organizations: 56% of survey respondents said their self-service IT is too complicated and requires users to have expertise in cloud and infrastructure tools.

Most end users won't know how to choose AWS plan specifications, select target cloud deployment zones, or configure security groups. But if they can't do these things themselves, it isn't really self-service.

IT leaders realize the importance of self-service and they also understand that their efforts today fall short. In fact, 71% said they want their enterprise's self-service IT system to function like an "easy button," where users don't need to ask for assistance or possess esoteric knowledge of cloud-native tools to get what they want. The new cloud order demands true simplicity to fuel true self-service and transformation.

2. You'll Never Truly Automate What Isn't Intelligently Integrated

Hybrid cloud management has grown too complicated for the outdated, manual processes many enterprises still rely on. Enabling policy-driven workflows and intelligent provisioning requires automation. Predictably, enterprises are investing in a growing number of automation tools. But these tools need to be integrated with existing infrastructure — and with each other — and that's where things get difficult.

Three-quarters (76%) of respondents said they still rely on custom-coding for a quarter or more of all their integrations — a long, arduous process that often requires expensive third-party contractors and creates more and more technical debt. It must be updated continually to accommodate new tools and technologies as well as meet evolving compliance and security standards. And when one thing changes in this fragile web of interconnections, it causes a ripple effect of problems throughout.

For this reason, nearly two-thirds (62%) of IT leaders surveyed expressed the desire for integration capabilities that could help them avoid the need for costly, resource-intensive custom-coding projects. Companies are increasingly demanding a smarter "integrate once/integrate everywhere" approach to integration as opposed to traditional methods that haven't changed much in more than 30 years.

3. You Can't Optimize What You Can't Visualize

Optimizing cloud deployments and controlling costs requires both visibility into cloud infrastructure and ways to address issues as they arise. The bad news is, 78% of respondents said they lacked the visibility necessary to optimize cloud deployments, while 54% said they didn't have automated methods of optimizing cloud costs.

Lack of a single source of truth when it comes to hybrid cloud infrastructure is one issue. Many organizations rely on the visibility tools native to the different clouds they use. But using multiple tools in this way means that a comprehensive view of the whole must be cobbled together, if it can be produced at all.

The challenges here are particularly acute when it comes to cost control. Exporting cloud bills to Excel, analyzing gigabytes of raw data line by line, and chasing down engineers to turn off unused cloud resources is simply ineffective.

IT leaders know these archaic and inefficient methods cost them money. And that's why 56% of respondents said they want automated methods for cost optimization with the ability to continuously notify stakeholders across the organization of cost overruns.

The New Cloud Order

The report reveals that too many enterprises are stuck using old cloud management approaches that hinder their digital transformation goals.

At the same time, IT leaders recognize the problem and see the path forward. They understand the need to make self-service IT easy for end users, to accelerate automation with faster, simpler integrations, and to reduce costs by connecting visibility and insight to immediate action. And there's even more good news: There are now cloud management tools and technologies that make this possible.

Self-service IT is now possible thanks to smarter approaches that simplify the process. Users no longer need to possess specialized skills or knowledge to access self-service resources. By abstracting away the underlying processes of complex technologies, self-service IT can finally be that "easy button" users want.

Custom-coding can now be largely eliminated and replaced by codeless, software-defined integrations. Enterprises can access pre-built integrations for many automation tools via a dynamic abstraction layer. When integrations become simple and mundane, accelerating automation initiatives and enabling a "best-of-breed" approach, enterprises can adopt the tools that best fit their particular needs and deploy them without wasting valuable time.

Finally, it is also possible to manage hybrid cloud infrastructure today through a single panel. This means enterprises can stop relying on native visibility tools and manual processes to analyze costs, identify cost overruns, and expose areas of inefficiency. This comprehensive visibility enables continuous detection and automatic remediation of idle resources in real time, so no one has to run around trying to find the right person to turn things off. It also enables enterprises to implement alert systems that can optimize decision-making processes across the organization by embedding awareness at key points of action.

Future-Proofing Digital Transformation

The report shows that, when it comes to hybrid cloud management and digital transformation, IT leaders are halfway there. They know that the old way of doing things isn't working anymore, and they know what they need to take them to the next level.

The complications and burdens of archaic cloud management will only grow heavier, acting as a constant drag on digital transformation. However, for those who embrace the new cloud order, proactively implement the next generation of cloud management solutions and avoid the three major potholes, their digital transformation journey will fuel a future of growth and opportunity.

Grant Ho is CMO of CloudBolt
Share this

The Latest

March 04, 2024

This year's Super Bowl drew in viewership of nearly 124 million viewers and made history as the most-watched live broadcast event since the 1969 moon landing. To support this spike in viewership, streaming companies like YouTube TV, Hulu and Paramount+ began preparing their IT infrastructure months in advance to ensure an exceptional viewer experience without outages or major interruptions. New Relic conducted a survey to understand the importance of a seamless viewing experience and the impact of outages during major streaming events such as the Super Bowl ...

March 01, 2024

As organizations continue to navigate the complexities of the digital era, which has been marked by exponential advancements in AI and technology, the strategic deployment of modern, practical applications has become indispensable for sustaining competitive advantage and realizing business goals. The Info-Tech Research Group report, Applications Priorities 2024, explores the following five initiatives for emerging and leading-edge technologies and practices that can enable IT and applications leaders to optimize their application portfolio and improve on capabilities needed to meet the ambitions of their organizations ...

February 29, 2024

Despite the growth in popularity of artificial intelligence (AI) and ML across a number of industries, there is still a huge amount of unrealized potential, with many businesses playing catch-up and still planning how ML solutions can best facilitate processes. Further progression could be limited without investment in specialized technical teams to drive development and integration ...

February 28, 2024

With over 200 streaming services to choose from, including multiple platforms featuring similar types of entertainment, users have little incentive to remain loyal to any given platform if it exhibits performance issues. Big names in streaming like Hulu, Amazon Prime and HBO Max invest thousands of hours into engineering observability and closed-loop monitoring to combat infrastructure and application issues, but smaller platforms struggle to remain competitive without access to the same resources ...

February 27, 2024

Generative AI has recently experienced unprecedented dramatic growth, making it one of the most exciting transformations the tech industry has seen in some time. However, this growth also poses a challenge for tech leaders who will be expected to deliver on the promise of new technology. In 2024, delivering tangible outcomes that meet the potential of AI, and setting up incubator projects for the future will be key tasks ...

February 26, 2024

SAP is a tool for automating business processes. Managing SAP solutions, especially with the shift to the cloud-based S/4HANA platform, can be intricate. To explore the concerns of SAP users during operational transformations and automation, a survey was conducted in mid-2023 by Digitate and Americas' SAP Users' Group ...

February 22, 2024

Some companies are just starting to dip their toes into developing AI capabilities, while (few) others can claim they have built a truly AI-first product. Regardless of where a company is on the AI journey, leaders must understand what it means to build every aspect of their product with AI in mind ...

February 21, 2024

Generative AI will usher in advantages within various industries. However, the technology is still nascent, and according to the recent Dynatrace survey there are many challenges and risks that organizations need to overcome to use this technology effectively ...

February 20, 2024

In today's digital era, monitoring and observability are indispensable in software and application development. Their efficacy lies in empowering developers to swiftly identify and address issues, enhance performance, and deliver flawless user experiences. Achieving these objectives requires meticulous planning, strategic implementation, and consistent ongoing maintenance. In this blog, we're sharing our five best practices to fortify your approach to application performance monitoring (APM) and observability ...

February 16, 2024

In MEAN TIME TO INSIGHT Episode 3, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at Enterprise Management Associates (EMA) discusses network security with Chris Steffen, VP of Research Covering Information Security, Risk, and Compliance Management at EMA ...