Cloud-native applications grew 200 percent in DevOps environments over three years. Thirty-five percent of cloud spend goes to waste from poor resource management. Elite performers deploy 973 times more frequently than low performers.
Key Takeaways
- Cloud-native applications grew by 200% in DevOps environments over the last 3 years
- 92% of organizations have a multi-cloud strategy for DevOps
- Infrastructure-as-Code (IaC) adoption has reached 71% in mature DevOps teams
- 83% of IT decision-makers report their organizations are implementing DevOps practices to unlock higher business value
- High-performing DevOps teams are 2.2 times more likely to exceed their goals for profitability and market share
- Organizations with a strong DevOps culture see a 60% higher rate of employee satisfaction compared to those without
- Elite DevOps performers deploy 973 times more frequently than low performers
- The lead time for changes for elite performers is less than one hour
- Middle-performing teams have a deployment frequency of once per month to once per week
- 60% of organizations have integrated security into their DevOps pipeline (DevSecOps)
- High-performing DevSecOps teams are 3.3 times more likely to have security integrated into the design phase
- 74% of companies say that DevSecOps is their top technical priority for 2024
- 75% of DevOps teams use Jenkins for their continuous integration server
- Kubernetes is used by 61% of organizations to manage container orchestration
- 54% of developers use Docker in their DevOps workflow
DevOps teams use cloud, automation, and DevSecOps to deliver faster, cut waste, and boost reliability.
Related reading
01 · Category
Cloud & Infrastructure30 stats
01
Cloud-native applications grew by 200% in DevOps environments over the last 3 years
02
92% of organizations have a multi-cloud strategy for DevOps
03
Infrastructure-as-Code (IaC) adoption has reached 71% in mature DevOps teams
04
35% of cloud spend is wasted due to poor DevOps resource management
05
48% of DevOps teams use AWS as their primary cloud service provider
06
26% of DevOps teams use Microsoft Azure
07
12% of DevOps teams use Google Cloud Platform (GCP)
08
Edge computing for DevOps is expected to grow by 25% by 2025
09
78% of enterprises use hybrid cloud models for their DevOps operations
10
50% of organizations say "cloud costs" are the primary concern for their DevOps teams
11
40% of organizations use FinOps practices to align DevOps with cloud spending
12
65% of DevOps teams use managed Kubernetes services (EKS, AKS, GKE) rather than self-managed
13
Site Reliability Engineering (SRE) practices are used by 52% of organizations to manage cloud uptime
14
Serverless adoption in DevOps has increased by 15% year-over-year
15
1 in 5 organizations uses more than 4 different cloud providers for DevOps
16
43% of teams use automated cloud provisioning tools
17
Disaster recovery in the cloud is 4 times faster for DevOps organizations
18
31% of developers use cloud-based IDEs for their DevOps activities
19
Only 18% of organizations have highly optimized cloud resource usage
20
Container adoption in production has reached 84% in enterprise DevOps
21
27% of companies are migrating from on-premise to cloud specifically to enable DevOps
22
56% of organizations use Infrastructure-as-Code to prevent "environment drift"
23
14% of cloud-native organizations use Service Mesh (e.g., Istio) for traffic management
24
Cloud outage resolution time is 30% lower for teams practicing DevOps
25
39% of organizations use Private Cloud for sensitive DevOps workloads
26
Multi-cloud deployments increase infrastructure management complexity by 45%
27
22% of teams use "Spot Instances" to reduce DevOps cloud costs
28
High-performing SRE teams achieve 99.99% availability for cloud services
29
47% of cloud-native developers use Prometheus for cloud-infrastructure monitoring
30
Organizations using cloud-native DevOps reduces infrastructure costs by 18%
Interpretation
Cloud & Infrastructure Interpretation
Despite a 200% surge in cloud-native applications and widespread multi-cloud strategies, the fact that a third of cloud spend is wasted and only 18% of organizations have optimized resource usage reveals that the DevOps community has brilliantly mastered the art of building in the cloud, yet is still taking a comically expensive taxi to get there.
02 · Category
Cultural & Organizational Adoption30 stats
01
83% of IT decision-makers report their organizations are implementing DevOps practices to unlock higher business value
02
High-performing DevOps teams are 2.2 times more likely to exceed their goals for profitability and market share
03
Organizations with a strong DevOps culture see a 60% higher rate of employee satisfaction compared to those without
04
47% of developers cite a lack of budget as the primary reason for slow DevOps transformation
05
Companies using DevOps see a 20% reduction in time-to-market for new software products
06
99% of organizations reported that DevOps had a positive impact on their organization’s bottom line
07
37% of IT professionals state that "changing the culture" is the hardest part of DevOps adoption
08
Women make up only 14% of specialized DevOps engineers globally as of 2023
09
54% of enterprises have been practicing DevOps for 3 or more years
10
85% of leaders believe DevOps is critical to their digital transformation strategy
11
Organizations with high DevOps evolution are 3 times more likely to use self-service platforms
12
63% of organizations choose to implement DevOps to improve the quality of software deployments
13
22% of developers say the lack of clear leadership is the main obstacle to DevOps success
14
DevOps teams spend 21% less time on unplanned work and manual re-work
15
72% of organizations prioritize "knowledge sharing" as a top cultural goal for DevOps
16
42% of companies say they have reached "middle-stage" DevOps maturity
17
Remote DevOps teams are 15% more likely to adopt asynchronous communication tools
18
30% of DevOps professionals work in companies with over 10,000 employees
19
DevOps adoption in the healthcare sector increased by 35% in 2023 due to regulatory compliance software needs
20
68% of IT managers believe DevOps improves collaboration between departments
21
18% of organizations use a dedicated "Center of Excellence" for DevOps training
22
Teams with high psychological safety are 47% more likely to be high-performing DevOps teams
23
DevOps practitioners reported a 10% increase in salary compared to traditional sysadmins in 2023
24
50% of developers say DevOps helps them reclaim time for innovation rather than maintenance
25
Large enterprises (over 5000 employees) are 12% slower at DevOps adoption than SMEs
26
58% of organizations report that DevOps improved their customer experience metrics
27
40% of organizations cite "legacy infrastructure" as the biggest cultural inhibitor
28
91% of companies using DevOps report the transition was "worth the effort"
29
DevOps engineers are 1.5 times more likely to stay at their current job if they have access to modern tools
30
12% of small startups (under 20 people) operate without a designated DevOps role
Interpretation
Cultural & Organizational Adoption Interpretation
Despite nearly all companies agreeing that DevOps delivers undeniable value, the transition itself is a revealing tug-of-war between culture and budget, where success depends more on psychological safety and leadership than on any specific tool.
03 · Category
Performance & Deployment Metrics30 stats
01
Elite DevOps performers deploy 973 times more frequently than low performers
02
The lead time for changes for elite performers is less than one hour
03
Middle-performing teams have a deployment frequency of once per month to once per week
04
Change failure rate for elite performers ranges between 0% and 15%
05
Mean time to recovery (MTTR) for top DevOps teams is under one hour
06
Low-performing DevOps teams have a change failure rate higher than 46%
07
70% of teams using CI/CD pipelines report faster delivery cycles
08
High-performing teams spend 50% less time remediating security issues
09
Continuous deployment is practiced by only 10% of developers worldwide
10
Elite performers have a recovery time that is 6,570 times faster than low performers
11
45% of developers say they deploy code to production daily
12
DevOps helps reduce the time between code committed and code in production by up to 200 times for high performers
13
33% of organizations report that they release code multiple times a day
14
Automation in the CI/CD pipeline results in a 14.3% increase in developer productivity
15
28% of teams track "deployment pain" as a key performance indicator
16
Using containers increases deployment frequency by 30% on average
17
65% of DevOps teams use "lead time for change" as their primary success metric
18
15% of software releases are rolled back due to failure in the first hour of production
19
High DevOps maturity correlates with a 5% increase in annual revenue growth
20
Automated testing reduces the testing cycle time by up to 90%
21
20% of teams report that their deployment process is completely manual
22
Teams that use version control for all production artifacts have 2.5 times higher performance
23
DevOps teams that automate more than 70% of their workflow are 3 times more likely to be elite performers
24
Average time spent on manual approvals for releases is 4 hours per week for mid-tier teams
25
53% of developers say they have "zero downtime" deployments in their organization
26
Performance monitoring reduces Mean Time to Detection (MTTD) by 40%
27
12% of organizations report that their lead time for change is between one month and six months
28
Standardizing the environment across Dev and Ops reduces deployment errors by 25%
29
High-performing teams achieve a success rate of 98% for their production changes
30
39% of companies use A/B testing as part of their deployment validation
Interpretation
Performance & Deployment Metrics Interpretation
Elite DevOps performers are essentially the superheroes of software, deploying code in minutes with near-perfect success, while lower performers are still stuck in the dark ages, taking months to roll out changes that often crash and burn for days.
More related reading
04 · Category
Security & Compliance30 stats
01
60% of organizations have integrated security into their DevOps pipeline (DevSecOps)
02
High-performing DevSecOps teams are 3.3 times more likely to have security integrated into the design phase
03
74% of companies say that DevSecOps is their top technical priority for 2024
04
Code security scanning is performed by 53% of developers during the CI/CD process
05
48% of developers believe security is a "bottleneck" to fast delivery
06
Vulnerability management automation reduces the risk of data breaches by 25%
07
Only 25% of organizations scan for secrets (exposed keys) in their source code
08
Organizations with fully integrated DevSecOps report 15% lower security remediation costs
09
36% of security practitioners report a lack of collaboration with DevOps teams
10
Supply chain attacks on DevOps tools increased by 650% between 2020 and 2023
11
22% of organizations automate compliance auditing within their DevOps pipelines
12
70% of security professionals state that DevOps makes security easier to manage in the long run
13
40% of organizations cite "meeting compliance requirements" as a top driver for DevOps adoption
14
Static application security testing (SAST) is used by 45% of DevOps teams
15
31% of developers say they have no formal security training for DevOps
16
Automated dependency scanning is used by 38% of teams to prevent software supply chain issues
17
Compliance-as-Code is practiced by only 14% of mature DevOps organizations
18
55% of security teams say DevOps teams treat security as an "afterthought"
19
Infrastructure-as-Code (IaC) security scanning is only used by 19% of cloud users
20
62% of organizations struggle with securing multi-cloud DevOps environments
21
Container security tools are deployed by 47% of cloud-native DevOps teams
22
Deployment of security patches is 3 times faster in organizations with automated CI/CD
23
29% of security breaches in DevOps environments are caused by misconfigured cloud storage
24
Policy-as-Code adoption has grown by 20% year-over-year in the DevOps space
25
43% of developers feel they are responsible for security, up from 28% in 2021
26
60% of organizations require security sign-offs before a major release
27
1 in 10 companies has had a security breach specifically due to a CI/CD tool vulnerability
28
High-security organizations are 1.6 times more likely to meet their reliability targets
29
Use of Dynamic Application Security Testing (DAST) in DevOps is at 34%
30
52% of companies say that regulatory compliance is their biggest barrier to full DevOps automation
Interpretation
Security & Compliance Interpretation
Despite widespread agreement that baking security into DevOps is essential, the data reveals a comically human contradiction: we’re all urgently prioritizing DevSecOps while simultaneously complaining it slows us down, half-heartedly implementing the tools that would actually speed it up, and hoping the other department will just handle it.
05 · Category
Tooling & Automation30 stats
01
75% of DevOps teams use Jenkins for their continuous integration server
02
Kubernetes is used by 61% of organizations to manage container orchestration
03
54% of developers use Docker in their DevOps workflow
04
Terraform is the leading Infrastructure-as-Code tool with 35% market share in DevOps
05
44% of DevOps teams use Ansible for configuration management
06
67% of teams use Prometheus for monitoring and alerting in cloud-native environments
07
GitLab and GitHub Actions are used by 42% and 39% of DevOps teams respectively
08
AI and Machine Learning adoption in DevOps tools increased by 22% in 2023
09
50% of organizations use more than 10 different tools in their DevOps toolchain
10
28% of DevOps teams use Splunk for log management and operational intelligence
11
Slack is the primary communication tool for 62% of DevOps teams
12
31% of organizations use Serverless computing as part of their DevOps infrastructure
13
80% of organizations use a public cloud provider (AWS, Azure, GCP) for their DevOps pipeline
14
18% of DevOps professionals use Python as their primary scripting language
15
40% of organizations use Grafana for visualizing their system metrics
16
15% of organizations have built a custom "Internal Developer Portal" (IDP)
17
46% of organizations use Helm to manage Kubernetes applications
18
Selenium remains the most popular automated testing tool with 33% adoption
19
25% of DevOps teams use Jira for issue tracking and project management
20
12% of organizations use ArgoCD for GitOps-based continuous delivery
21
58% of DevOps teams use Bitbucket for source code management
22
37% of teams use PagerDuty for incident response management
23
20% of teams use ELK Stack (Elasticsearch, Logstash, Kibana) for observability
24
HashiCorp Vault is used by 24% of enterprises for secret management
25
9% of DevOps teams are experimenting with WebAssembly (Wasm) in production
26
SonarQube is the preferred tool for code quality analysis for 28% of teams
27
14% of organizations use New Relic for application performance monitoring
28
32% of developers use Bash/Shell scripts as their main automation language
29
10% of DevOps teams use Spinnaker for multi-cloud continuous delivery
30
55% of organizations report "tooling sprawl" as a significant challenge in DevOps
Interpretation
Tooling & Automation Interpretation
Our DevOps landscape is a wonderfully crowded, Jenkins-helmed ship sailing on a Kubernetes sea, where we cheerfully acknowledge that our beloved toolchain is both our greatest strength and the sprawling beast we must constantly feed.
Reference
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Marcus Engström. (2026, February 13). Devops Statistics. Gitnux. https://gitnux.org/devops-statistics
MLA
Marcus Engström. "Devops Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/devops-statistics.
Chicago
Marcus Engström. 2026. "Devops Statistics." Gitnux. https://gitnux.org/devops-statistics.
Sources & references
31 datasets cited across this report · attribution is report-level