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7 Trends in Docker Container Monitoring

Despite their benefits, containerized application environments have created exponential complexity in cloud-based application management and monitoring. Seven Trends in Docker Container Monitoring a study conducted by CA Technologies in collaboration with Gatepoint Research, identifies 7 key container challenges and trends.

Containers offer immense value to enterprises by allowing developers to easily build, ship and run any application virtually anywhere, as a lightweight, self-sufficient package. In turn, organizations benefit from the ability to enable instant application portability.

According to a recent Gartner study of 664 respondents, “65% of respondents stated that their organization expected to deploy containers into production by the end of 2017 ... Further, an additional 13% expect to deploy containers during 2018, suggesting that interest and adoption will only increase.” (Source: Gartner, Inc., Survey Analysis: Container Adoption and Deployment, 2018, Mark Warrilow, Dennis Smith, March 08, 2018, ID: G00348437)

"Digital transformation initiatives increasingly rely on cloud-based containerized applications that cannot be managed with traditional IT monitoring tools," said Ali Siddiqui, GM of the Agile Operations, CA Technologies. "These new app architectures create blind-spots or worse, a surge of false alarms that prevent teams from fixing problems quickly. CA Technologies unique approach to container monitoring delivers full visibility in these most dynamic environments."

Key container challenges and trends identified in the new survey include:

1. Docker popularity is rising

Docker popularity is rising, but more than 50 percent of organizations surveyed say their use of Docker container technology is "just getting started."

2. App development and testing is primary Docker use case

App development and testing is the primary Docker use case. Most executives surveyed said they use Docker container technology for application development and testing (61 percent) and to reduce their existing infrastructure (53 percent).

3. Docker provides the most value

Docker provides the most value when it comes to continuous delivery, scalability and resource efficiency. More than half of executives indicated that Docker containers provide continuation integration and delivery (58 percent), scalability (57 percent) and resource efficiency (53 percent).

4. Skills gap is biggest in Docker monitoring

The skills gap is biggest in Docker monitoring, according to respondents (48 percent).

Business impact of Docker container performance is unmeasured

The business impact of Docker container performance is largely unmeasured today. More than half of executives (56 percent) said they are not monitoring Docker container performance problems for business impact yet.

Visibility of container performance is biggest motivator

Complete visibility of container performance is the biggest motivator for organizations, according to 56 percent of executives.

Download the full report.

Container monitoring has become an essential application performance management tool for DevOps to rapidly develop and deploy innovative, cloud-based applications. However, as Docker and other container adoption continues to expand, so do the challenges around it.

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7 Trends in Docker Container Monitoring

Despite their benefits, containerized application environments have created exponential complexity in cloud-based application management and monitoring. Seven Trends in Docker Container Monitoring a study conducted by CA Technologies in collaboration with Gatepoint Research, identifies 7 key container challenges and trends.

Containers offer immense value to enterprises by allowing developers to easily build, ship and run any application virtually anywhere, as a lightweight, self-sufficient package. In turn, organizations benefit from the ability to enable instant application portability.

According to a recent Gartner study of 664 respondents, “65% of respondents stated that their organization expected to deploy containers into production by the end of 2017 ... Further, an additional 13% expect to deploy containers during 2018, suggesting that interest and adoption will only increase.” (Source: Gartner, Inc., Survey Analysis: Container Adoption and Deployment, 2018, Mark Warrilow, Dennis Smith, March 08, 2018, ID: G00348437)

"Digital transformation initiatives increasingly rely on cloud-based containerized applications that cannot be managed with traditional IT monitoring tools," said Ali Siddiqui, GM of the Agile Operations, CA Technologies. "These new app architectures create blind-spots or worse, a surge of false alarms that prevent teams from fixing problems quickly. CA Technologies unique approach to container monitoring delivers full visibility in these most dynamic environments."

Key container challenges and trends identified in the new survey include:

1. Docker popularity is rising

Docker popularity is rising, but more than 50 percent of organizations surveyed say their use of Docker container technology is "just getting started."

2. App development and testing is primary Docker use case

App development and testing is the primary Docker use case. Most executives surveyed said they use Docker container technology for application development and testing (61 percent) and to reduce their existing infrastructure (53 percent).

3. Docker provides the most value

Docker provides the most value when it comes to continuous delivery, scalability and resource efficiency. More than half of executives indicated that Docker containers provide continuation integration and delivery (58 percent), scalability (57 percent) and resource efficiency (53 percent).

4. Skills gap is biggest in Docker monitoring

The skills gap is biggest in Docker monitoring, according to respondents (48 percent).

Business impact of Docker container performance is unmeasured

The business impact of Docker container performance is largely unmeasured today. More than half of executives (56 percent) said they are not monitoring Docker container performance problems for business impact yet.

Visibility of container performance is biggest motivator

Complete visibility of container performance is the biggest motivator for organizations, according to 56 percent of executives.

Download the full report.

Container monitoring has become an essential application performance management tool for DevOps to rapidly develop and deploy innovative, cloud-based applications. However, as Docker and other container adoption continues to expand, so do the challenges around it.

Hot Topics

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...