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2022 Cloud Predictions

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.

CLOUD SERVICES MOVE UP STACK

Public cloud will not only become even more dominant, but the sophistication of the services they provide will increase and move "up stack," focusing on end-user experience and out-of-the-box usability rather than previous primitives that required experts to knit raw components together. Think of more complete solutions rather than just a bag of tools.
Damon Edwards
Director of Product Marketing, PagerDuty

CLOUD PROVIDERS OFFER OPENTELEMETRY

Cloud providers will begin to integrate OpenTelemetry into their managed service offerings, giving developers the ability to easily understand, profile, and tune their cloud native applications. We'll see more performance tools start to integrate cloud spend as a useful annotation, bringing FinOps into the performance landscape.
Austin Parker
Principal Developer Advocate , Lightstep

CLOUD PROVIDERS DELIVER METRICS

Cloud providers will begin to not only show metrics and logs, but also suggest baselines and success metrics based on their growing insight into medians and averages across their customer bases. With a large percentage of modern organizations running on the same infrastructure — whether it be AWS or Google Cloud — there's a rapidly growing collection of data that can be leveraged to help companies learn from one another.
John Egan
CEO and Co-Founder, Kintaba

EMBRACING REDUNDANCY

Organizations will embrace redundancy to mitigate continuing outages: Massive web outages and regional disasters will continue to take both public cloud and private datacenters offline in 2022. To mitigate this threat, organizations will increasingly seek redundancy for mission critical apps by deploying in multiple public clouds and leveraging private clouds. The tools to run modern apps — such as Kubernetes and other container-based technologies — interchangeably in the cloud or on-prem are maturing rapidly, providing new options for optimizing workload placement to ensure availability.
Jon Toor
CMO, Cloudian

CLOUD BACKUP AND RECOVERY

Enterprises' mass shift to the cloud during the pandemic has also come at a time when escalating cybersecurity and climate crises are putting data at greater risk than ever before. As a result, there's an urgent need for businesses to prioritize effective cloud backup and disaster recovery in 2022. Too many downtime incidents have made headlines in the past year, with companies like Facebook losing tens of millions of dollars due to outages. Backup and DR are imperative for these companies to ensure application performance and uptime.
Faiz Khan
CEO, Wanclouds

MOVING BACK TO PRIVATE CLOUD

Tech Savvy Organizations Are Beginning to Repatriate from the Public Cloud — The public cloud is alive and well and is not going anywhere; in fact, I predict it will grow 10-20x over the next decade. However, large, tech-savvy organizations are becoming much more judicious in how they use the cloud and will increasingly repatriate from their "all in cloud" stance. We'll start to see this shift happening in 2022. In much the same way that enterprises have embraced open source software and have opted to do it themselves, tech-savvy companies are beginning to realize they can run their own private cloud better and just use the public cloud for specific use cases such as usage bursts. Bank of America is one significant example of how a company can use private cloud to lower its IT costs, and I expect more large organizations will explore similar private cloud uses.
Marco Palladino
CTO and Co-Founder, Kong

CREATING CLOUD-LIKE ENVIRONMENTS ON-PREM

Instead of migrating legacy apps to the cloud, organizations will create cloud-like environments on prem: Containers and cloud-native storage technologies have created new paths to building private cloud infrastructure. Now organizations can get the benefits of public cloud at less cost, with greater control, and with the option to extend infrastructure to the edge. Gartner projects that 75% of enterprise-generated data will be created and processed outside centralized data centers or the cloud by 2025, driving new requirements for data management and analytics at the edge. The private cloud will give organizations new options for deploying modern applications, allowing them to make workload placement decisions on economic grounds rather than a one-size-fits-all rush to the cloud.
Jon Toor
CMO, Cloudian

HYBRID AND MULTI-CLOUD REQUIRES HORIZONTAL APPROACH

Horizontal investments across organizations must become a priority for a successful transition to cloud-based infrastructures. When investing in new IT infrastructures, IT leaders typically build up their modernization programs "vertically" within each department. However, this creates a gap between teams, as each is operating in separate models and functionalities — driving up unnecessary costs and inefficient business practices. Looking towards 2022, IT leaders will be focused on successfully aligning their hybrid and multi-cloud initiatives for increased operational efficiency. In doing so, more must lean towards a "horizontal" approach, uprooting traditional processes across all departments, and deploying cloud-native tools on a wider organizational scale to reduce time and stress.
Peter Sprygada
VP of Product Management, Itential

CLOUD MANAGEMENT TEAM

In 2022, organizations will evaluate the implications of their cloud investments and will need to revisit best practices for engaging with the cloud. One trend we expect to see is businesses putting in place a team to manage cloud costs. This may be in the form of an individual from the IT/cloud/DevOps team, and in some cases, a dedicated team will be formed to focus on it. When the team or individual is put in place will be determined by the velocity of cloud initiatives, architectures, and overall budget for the project.
Leon Adato
Head Geek, SolarWinds

CENTRAL MANAGEMENT OF THE EDGE

Managing thousands of edge sites, deploying applications, troubleshooting, and upgrading are complex operations, requiring multiple products and integration services that make edge clouds prohibitively expensive and difficult. There will be a trend towards the simplified central management of edge sites in 2022, with more and more companies implementing a single point of control and management in order to greatly reduce the cost and effort needed for edge infrastructure and application operations.
Roopak Parikh
CTO, Platform9

The Marriage of Cloud and Edge

While both edge and cloud computing have been the subject of prediction discussions for years, we can expect to see a marriage between the two technologies driving better decision-making and operational efficiency in 2022. Organizations will marry the real-time capabilities of edge with the limitless scale and endless storage in the cloud. Accelerated digital transformations have led to more distributed IT infrastructures, requiring further support at the edge, while the computing power of the cloud is needed to advance artificial intelligence and machine learning. Combining both cloud computing and edge computing enables organizations to more quickly adjust and execute strategies in response to market and competitive changes. Having real time data from the edge as well as the historical data from the cloud will enable more intelligent decision making and more seamless operations.
Tobi Knaup
Co-Founder and CEO, D2iQ

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

2022 Cloud Predictions

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.

CLOUD SERVICES MOVE UP STACK

Public cloud will not only become even more dominant, but the sophistication of the services they provide will increase and move "up stack," focusing on end-user experience and out-of-the-box usability rather than previous primitives that required experts to knit raw components together. Think of more complete solutions rather than just a bag of tools.
Damon Edwards
Director of Product Marketing, PagerDuty

CLOUD PROVIDERS OFFER OPENTELEMETRY

Cloud providers will begin to integrate OpenTelemetry into their managed service offerings, giving developers the ability to easily understand, profile, and tune their cloud native applications. We'll see more performance tools start to integrate cloud spend as a useful annotation, bringing FinOps into the performance landscape.
Austin Parker
Principal Developer Advocate , Lightstep

CLOUD PROVIDERS DELIVER METRICS

Cloud providers will begin to not only show metrics and logs, but also suggest baselines and success metrics based on their growing insight into medians and averages across their customer bases. With a large percentage of modern organizations running on the same infrastructure — whether it be AWS or Google Cloud — there's a rapidly growing collection of data that can be leveraged to help companies learn from one another.
John Egan
CEO and Co-Founder, Kintaba

EMBRACING REDUNDANCY

Organizations will embrace redundancy to mitigate continuing outages: Massive web outages and regional disasters will continue to take both public cloud and private datacenters offline in 2022. To mitigate this threat, organizations will increasingly seek redundancy for mission critical apps by deploying in multiple public clouds and leveraging private clouds. The tools to run modern apps — such as Kubernetes and other container-based technologies — interchangeably in the cloud or on-prem are maturing rapidly, providing new options for optimizing workload placement to ensure availability.
Jon Toor
CMO, Cloudian

CLOUD BACKUP AND RECOVERY

Enterprises' mass shift to the cloud during the pandemic has also come at a time when escalating cybersecurity and climate crises are putting data at greater risk than ever before. As a result, there's an urgent need for businesses to prioritize effective cloud backup and disaster recovery in 2022. Too many downtime incidents have made headlines in the past year, with companies like Facebook losing tens of millions of dollars due to outages. Backup and DR are imperative for these companies to ensure application performance and uptime.
Faiz Khan
CEO, Wanclouds

MOVING BACK TO PRIVATE CLOUD

Tech Savvy Organizations Are Beginning to Repatriate from the Public Cloud — The public cloud is alive and well and is not going anywhere; in fact, I predict it will grow 10-20x over the next decade. However, large, tech-savvy organizations are becoming much more judicious in how they use the cloud and will increasingly repatriate from their "all in cloud" stance. We'll start to see this shift happening in 2022. In much the same way that enterprises have embraced open source software and have opted to do it themselves, tech-savvy companies are beginning to realize they can run their own private cloud better and just use the public cloud for specific use cases such as usage bursts. Bank of America is one significant example of how a company can use private cloud to lower its IT costs, and I expect more large organizations will explore similar private cloud uses.
Marco Palladino
CTO and Co-Founder, Kong

CREATING CLOUD-LIKE ENVIRONMENTS ON-PREM

Instead of migrating legacy apps to the cloud, organizations will create cloud-like environments on prem: Containers and cloud-native storage technologies have created new paths to building private cloud infrastructure. Now organizations can get the benefits of public cloud at less cost, with greater control, and with the option to extend infrastructure to the edge. Gartner projects that 75% of enterprise-generated data will be created and processed outside centralized data centers or the cloud by 2025, driving new requirements for data management and analytics at the edge. The private cloud will give organizations new options for deploying modern applications, allowing them to make workload placement decisions on economic grounds rather than a one-size-fits-all rush to the cloud.
Jon Toor
CMO, Cloudian

HYBRID AND MULTI-CLOUD REQUIRES HORIZONTAL APPROACH

Horizontal investments across organizations must become a priority for a successful transition to cloud-based infrastructures. When investing in new IT infrastructures, IT leaders typically build up their modernization programs "vertically" within each department. However, this creates a gap between teams, as each is operating in separate models and functionalities — driving up unnecessary costs and inefficient business practices. Looking towards 2022, IT leaders will be focused on successfully aligning their hybrid and multi-cloud initiatives for increased operational efficiency. In doing so, more must lean towards a "horizontal" approach, uprooting traditional processes across all departments, and deploying cloud-native tools on a wider organizational scale to reduce time and stress.
Peter Sprygada
VP of Product Management, Itential

CLOUD MANAGEMENT TEAM

In 2022, organizations will evaluate the implications of their cloud investments and will need to revisit best practices for engaging with the cloud. One trend we expect to see is businesses putting in place a team to manage cloud costs. This may be in the form of an individual from the IT/cloud/DevOps team, and in some cases, a dedicated team will be formed to focus on it. When the team or individual is put in place will be determined by the velocity of cloud initiatives, architectures, and overall budget for the project.
Leon Adato
Head Geek, SolarWinds

CENTRAL MANAGEMENT OF THE EDGE

Managing thousands of edge sites, deploying applications, troubleshooting, and upgrading are complex operations, requiring multiple products and integration services that make edge clouds prohibitively expensive and difficult. There will be a trend towards the simplified central management of edge sites in 2022, with more and more companies implementing a single point of control and management in order to greatly reduce the cost and effort needed for edge infrastructure and application operations.
Roopak Parikh
CTO, Platform9

The Marriage of Cloud and Edge

While both edge and cloud computing have been the subject of prediction discussions for years, we can expect to see a marriage between the two technologies driving better decision-making and operational efficiency in 2022. Organizations will marry the real-time capabilities of edge with the limitless scale and endless storage in the cloud. Accelerated digital transformations have led to more distributed IT infrastructures, requiring further support at the edge, while the computing power of the cloud is needed to advance artificial intelligence and machine learning. Combining both cloud computing and edge computing enables organizations to more quickly adjust and execute strategies in response to market and competitive changes. Having real time data from the edge as well as the historical data from the cloud will enable more intelligent decision making and more seamless operations.
Tobi Knaup
Co-Founder and CEO, D2iQ

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...