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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

Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

APMdigest's Predictions Series continues with 2026 Data Center Predictions — industry experts offer predictions on how data centers will evolve and impact business in 2026 ...

APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026. Part 2 covers data and data platforms ...

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

Payment system failures are putting $44.4 billion in US retail and hospitality sales at risk each year, underscoring how quickly disruption can derail day-to-day trading, according to research conducted by Dynatrace ... The findings show that payment failures are no longer isolated incidents, but part of a recurring operational challenge that disrupts service, damages customer trust, and negatively impacts revenue ...

For years, the success of DevOps has been measured by how much manual work teams can automate ... I believe that in 2026, the definition of DevOps success is going to expand significantly. The era of automation is giving way to the era of intelligent delivery, in which AI doesn't just accelerate pipelines, it understands them. With open observability connecting signals end-to-end across those tools, teams can build closed-loop systems that don't just move faster, but learn, adapt, and take action autonomously with confidence ...

The conversation around AI in the enterprise has officially shifted from "if" to "how fast." But according to the State of Network Operations 2026 report from Broadcom, most organizations are unknowingly building their AI strategies on sand. The data is clear: CIOs and network teams are putting the cart before the horse. AI cannot improve what the network cannot see, predict issues without historical context, automate processes that aren't standardized, or recommend fixes when the underlying telemetry is incomplete. If AI is the brain, then network observability is the nervous system that makes intelligent action possible ...

SolarWinds data shows that one in three DBAs are contemplating leaving their positions — a striking indicator of workforce pressure in this role. This is likely due to the technical and interpersonal frustrations plaguing today's DBAs. Hybrid IT environments provide widespread organizational benefits but also present growing complexity. Simultaneously, AI presents a paradox of benefits and pain points ...

Over the last year, we've seen enterprises stop treating AI as “special projects.” It is no longer confined to pilots or side experiments. AI is now embedded in production, shaping decisions, powering new business models, and changing how employees and customers experience work every day. So, the debate of "should we adopt AI" is settled. The real question is how quickly and how deeply it can be applied ...

In MEAN TIME TO INSIGHT Episode 20, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA presents his 2026 NetOps predictions ... 

Today, technology buyers don't suffer from a lack of information but an abundance of it. They need a trusted partner to help them navigate this information environment ...

My latest title for O'Reilly, The Rise of Logical Data Management, was an eye-opener for me. I'd never heard of "logical data management," even though it's been around for several years, but it makes some extraordinary promises, like the ability to manage data without having to first move it into a consolidated repository, which changes everything. Now, with the demands of AI and other modern use cases, logical data management is on the rise, so it's "new" to many. Here, I'd like to introduce you to it and explain how it works ...

APMdigest's Predictions Series continues with 2026 Data Center Predictions — industry experts offer predictions on how data centers will evolve and impact business in 2026 ...

APMdigest's Predictions Series continues with 2026 DataOps Predictions — industry experts offer predictions on how DataOps and related technologies will evolve and impact business in 2026. Part 2 covers data and data platforms ...