Skip to main content

APM Challenges in a Hybrid Cloud

Eric Anderson

Public and private cloud computing have received plenty of attention in recent years, as businesses worldwide have opted to implement such services. For small firms, the public model is a boon for cash-strapped companies that cannot afford any missteps in their IT procurement processes.

Large enterprises that want more control over their solutions have often opted for a private cloud, which is not a shared resource with other businesses. Although both of these options are ideal for their respective user base, hybrid clouds should not be overlooked in the grand scheme of what is becoming a necessary technology throughout the IT sector.

A recent Infonetics Research survey indicated that adoption of hybrid clouds among enterprises is projected to more than double by 2015. Platform-as-a-Service and Cloud-as-a-Service are expected to experience the largest increases between 2013 and 2015. Cliff Grossner, directing analyst for data center and cloud services at the firm, said hybrid solutions are "the next evolution in cloud architecture."

However, the cloud abstracts important detail from the people who need to make sure it's performing as expected. As business-critical applications move to the cloud, IT professionals need to understand what's happening in the "black box" beyond their physical reach.

According to Enterprise Management Associates, only five percent of companies can definitively pinpoint the source(s) of their application-related problems – and these percentages relate to on-premises applications only. At the same time, more than 50 percent of companies report the cost of an hour of downtime for the “most critical business applications” to be between $75,000 and $500,000.

The goal is to give admins the ability to identify poor user experience before it becomes a costly business issue. Yet root cause analysis requires visibility into the underlying components of the application, which is hard to achieve when the infrastructure is owned by a service provider, or distributed across disparate monitoring silos. Organizations that are far down a path with on premises or private cloud APM solutions often don’t have the tools required to deliver real-time, proactive information in public or hybrid cloud environments.

Hybrid cloud APM addresses this problem, providing a single pane of glass from which to manage application performance and availability across public and private environments, from server to website to end user.

As more hybrid cloud application deployments go mainstream, end users must be able to expect the same level of availability, access to applications and performance in the cloud that they receive from non-hosted applications.

Here are some key features to look for in a hybrid cloud APM solution:

- Ability to collect and send performance metrics at any frequency

- Ability to create alerts on custom metrics to know the moment performance exceeds expected bounds

- Ability to customize dashboards for integrated views combining any metrics

- Ability to monitor multiple application services, such as Apache, MySQL, Redis, Cloudwatch, as well as create your own

- Ability to see data across all boundaries, including cloud or on-premises, various clouds, and separate regions/availability zones

Cloud computing is all about running the right application workload on the right system at the right time. As increasing numbers of workloads become split between in-house and hosted environments, organizations will need to carefully consider how their APM solution addresses cloud-related challenges beyond their immediate control.

Eric Anderson is CTO and Co-Founder of CopperEgg.

Hot Topics

The Latest

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers predictions about Observability and AIOps ...

The Holiday Season means it is time for APMdigest's annual list of predictions, covering Observability and other IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, AIOps, APM and related technologies will evolve and impact business in 2026 ...

IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...

Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...

PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...

The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...

Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...

APM Challenges in a Hybrid Cloud

Eric Anderson

Public and private cloud computing have received plenty of attention in recent years, as businesses worldwide have opted to implement such services. For small firms, the public model is a boon for cash-strapped companies that cannot afford any missteps in their IT procurement processes.

Large enterprises that want more control over their solutions have often opted for a private cloud, which is not a shared resource with other businesses. Although both of these options are ideal for their respective user base, hybrid clouds should not be overlooked in the grand scheme of what is becoming a necessary technology throughout the IT sector.

A recent Infonetics Research survey indicated that adoption of hybrid clouds among enterprises is projected to more than double by 2015. Platform-as-a-Service and Cloud-as-a-Service are expected to experience the largest increases between 2013 and 2015. Cliff Grossner, directing analyst for data center and cloud services at the firm, said hybrid solutions are "the next evolution in cloud architecture."

However, the cloud abstracts important detail from the people who need to make sure it's performing as expected. As business-critical applications move to the cloud, IT professionals need to understand what's happening in the "black box" beyond their physical reach.

According to Enterprise Management Associates, only five percent of companies can definitively pinpoint the source(s) of their application-related problems – and these percentages relate to on-premises applications only. At the same time, more than 50 percent of companies report the cost of an hour of downtime for the “most critical business applications” to be between $75,000 and $500,000.

The goal is to give admins the ability to identify poor user experience before it becomes a costly business issue. Yet root cause analysis requires visibility into the underlying components of the application, which is hard to achieve when the infrastructure is owned by a service provider, or distributed across disparate monitoring silos. Organizations that are far down a path with on premises or private cloud APM solutions often don’t have the tools required to deliver real-time, proactive information in public or hybrid cloud environments.

Hybrid cloud APM addresses this problem, providing a single pane of glass from which to manage application performance and availability across public and private environments, from server to website to end user.

As more hybrid cloud application deployments go mainstream, end users must be able to expect the same level of availability, access to applications and performance in the cloud that they receive from non-hosted applications.

Here are some key features to look for in a hybrid cloud APM solution:

- Ability to collect and send performance metrics at any frequency

- Ability to create alerts on custom metrics to know the moment performance exceeds expected bounds

- Ability to customize dashboards for integrated views combining any metrics

- Ability to monitor multiple application services, such as Apache, MySQL, Redis, Cloudwatch, as well as create your own

- Ability to see data across all boundaries, including cloud or on-premises, various clouds, and separate regions/availability zones

Cloud computing is all about running the right application workload on the right system at the right time. As increasing numbers of workloads become split between in-house and hosted environments, organizations will need to carefully consider how their APM solution addresses cloud-related challenges beyond their immediate control.

Eric Anderson is CTO and Co-Founder of CopperEgg.

Hot Topics

The Latest

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers predictions about Observability and AIOps ...

The Holiday Season means it is time for APMdigest's annual list of predictions, covering Observability and other IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, AIOps, APM and related technologies will evolve and impact business in 2026 ...

IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...

Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...

PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...

The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...

Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...