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Multi-Cloud Complexity and Chaos Presents Challenges and Opportunities for Service Provider Relationships

Mark Zembal
CloudBolt Software

The data is in: enterprises are not happy with their managed service providers (MSPs) and cloud service providers (CSPs).

According to the latest CloudBolt Industry Insights report, Filling the Gap: Service Providers' Increasingly Important Role in Multi-Cloud Success, which surveyed over 300 senior-level large enterprise MSP/CSP customers worldwide, 80% are so unsatisfied with their existing MSP and/or CSP, they are actively looking to replace them within twelve months.

That means 4 out of 5 enterprises may churn from their current MSP/CSP to a new one in the next year.

But why?

The Multi-Cloud Dilemma

As companies moved to the Cloud, the majority ended up multi-cloud. Splunk's latest State of Security report indicates 65% of enterprises use multiple cloud providers in a meaningful way; 32% use 3 or more. In some cases, multi-cloud was a well-thought-out strategy. But in most cases it was simply the result of rogue/shadow IT, mere choice, or even M&A.

Whichever the case, multi-cloud compounds complexity for cloud operations. Networking, data aggregation, cost structures, security, compliance, workload methodology and operating systems are often handled slightly differently across different clouds. The automations and integrations built for AWS can't simply be lifted and used in Azure or GPC; they have to be built again from the ground up. Many enterprises now find themselves struggling with a growing patchwork of platforms and tools, and most are forced to manually aggregate cloud data from multiple clouds and sources, usually using spreadsheets. To say visibility across it all is opaque is an understatement.

As a result, the costs of a multi-cloud architecture can spiral out of control, sometimes costing more than staying with an on-premise data center. (Skeptical? See the recent study that came out of Andreesen Horowitz, The Cost of a Cloud: The Trillion Dollar Paradox.)

The Skills Gap on Both Ends

The vast majority of enterprises don't have the in-house skills and expertise to manage, optimize, orchestrate, automate and govern multiple clouds; there just aren't enough people with the depth and breadth of knowledge required. Because of this skills gap, enterprises turn to MSPs and CSPs to bring order to their multi-cloud chaos and control spiraling cloud costs. Unfortunately, MSPs/CSPs are largely in the same boat — multi-cloud challenges are growing so fast, MSPs/CSPs can't keep up either.

The personnel issues caused by the pandemic and the resulting Great Resignation have created severe challenges in hiring and retaining employees with the skills that are so desperately needed today by every organization. So MSPs/CSPs are finding it increasingly difficult to meet their customers' expectations. And it's starting to take its toll.

Respondents to the report were asked about the specific areas where they believed their MSPs/CSPs were falling short. The most common answers were:

■ Failure to sufficiently reduce costs (60%)

■ Not offering enough multi-cloud options (58%)

■ Poor performance enabling automation (50%)

■ Lack of visibility across all cloud spending (41%)

A Golden Opportunity

Luckily, enterprises haven't given up on the promise of service providers; most simply believe they haven't found the right one.

85% of enterprises still believe MSPs/CSPs can accelerate digital transformation, and 81% still believe their MSPs/CSPs can save them money. Almost all (97%) would even pay a premium to a provider that delivered on the current shortcomings they identified with their current vendor.

So, what does all this mean?

If you are an enterprise, continue to demand additional and better capabilities from your provider. The status quo isn't good enough to handle your growing multi-cloud complexity.

If you are an MSP/CSP, this could be your moment to leapfrog competitors. With 4 out of 5 enterprises actively seeking a change over the next year, the service providers that can deliver the key "wish-list" capabilities identified in the findings will gain significant advantage and market share. Those who choose to not improve do so at their own peril.

Enterprises have clearly spoken. Which MSPs/CSPs will choose to listen?

Mark Zembal is CMO at CloudBolt Software

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Multi-Cloud Complexity and Chaos Presents Challenges and Opportunities for Service Provider Relationships

Mark Zembal
CloudBolt Software

The data is in: enterprises are not happy with their managed service providers (MSPs) and cloud service providers (CSPs).

According to the latest CloudBolt Industry Insights report, Filling the Gap: Service Providers' Increasingly Important Role in Multi-Cloud Success, which surveyed over 300 senior-level large enterprise MSP/CSP customers worldwide, 80% are so unsatisfied with their existing MSP and/or CSP, they are actively looking to replace them within twelve months.

That means 4 out of 5 enterprises may churn from their current MSP/CSP to a new one in the next year.

But why?

The Multi-Cloud Dilemma

As companies moved to the Cloud, the majority ended up multi-cloud. Splunk's latest State of Security report indicates 65% of enterprises use multiple cloud providers in a meaningful way; 32% use 3 or more. In some cases, multi-cloud was a well-thought-out strategy. But in most cases it was simply the result of rogue/shadow IT, mere choice, or even M&A.

Whichever the case, multi-cloud compounds complexity for cloud operations. Networking, data aggregation, cost structures, security, compliance, workload methodology and operating systems are often handled slightly differently across different clouds. The automations and integrations built for AWS can't simply be lifted and used in Azure or GPC; they have to be built again from the ground up. Many enterprises now find themselves struggling with a growing patchwork of platforms and tools, and most are forced to manually aggregate cloud data from multiple clouds and sources, usually using spreadsheets. To say visibility across it all is opaque is an understatement.

As a result, the costs of a multi-cloud architecture can spiral out of control, sometimes costing more than staying with an on-premise data center. (Skeptical? See the recent study that came out of Andreesen Horowitz, The Cost of a Cloud: The Trillion Dollar Paradox.)

The Skills Gap on Both Ends

The vast majority of enterprises don't have the in-house skills and expertise to manage, optimize, orchestrate, automate and govern multiple clouds; there just aren't enough people with the depth and breadth of knowledge required. Because of this skills gap, enterprises turn to MSPs and CSPs to bring order to their multi-cloud chaos and control spiraling cloud costs. Unfortunately, MSPs/CSPs are largely in the same boat — multi-cloud challenges are growing so fast, MSPs/CSPs can't keep up either.

The personnel issues caused by the pandemic and the resulting Great Resignation have created severe challenges in hiring and retaining employees with the skills that are so desperately needed today by every organization. So MSPs/CSPs are finding it increasingly difficult to meet their customers' expectations. And it's starting to take its toll.

Respondents to the report were asked about the specific areas where they believed their MSPs/CSPs were falling short. The most common answers were:

■ Failure to sufficiently reduce costs (60%)

■ Not offering enough multi-cloud options (58%)

■ Poor performance enabling automation (50%)

■ Lack of visibility across all cloud spending (41%)

A Golden Opportunity

Luckily, enterprises haven't given up on the promise of service providers; most simply believe they haven't found the right one.

85% of enterprises still believe MSPs/CSPs can accelerate digital transformation, and 81% still believe their MSPs/CSPs can save them money. Almost all (97%) would even pay a premium to a provider that delivered on the current shortcomings they identified with their current vendor.

So, what does all this mean?

If you are an enterprise, continue to demand additional and better capabilities from your provider. The status quo isn't good enough to handle your growing multi-cloud complexity.

If you are an MSP/CSP, this could be your moment to leapfrog competitors. With 4 out of 5 enterprises actively seeking a change over the next year, the service providers that can deliver the key "wish-list" capabilities identified in the findings will gain significant advantage and market share. Those who choose to not improve do so at their own peril.

Enterprises have clearly spoken. Which MSPs/CSPs will choose to listen?

Mark Zembal is CMO at CloudBolt Software

Hot Topics

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...