Continuous delivery, infrastructure as code, observability and site reliability engineering exams.
DevOps exams assess the delivery pipeline end to end: source control strategy, build and release automation, configuration management, progressive deployment and the feedback loops that catch regressions before users do.
Site reliability topics — error budgets, service level objectives, incident response and toil reduction — now appear on most professional-tier cloud exams as well as on dedicated DevOps credentials.
The benchmark Kubernetes administrator exam, taken entirely in a live cluster: architecture and installation, workloads and scheduling, networking, storage, and troubleshooting under time pressure.
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23 exams
15 with practice · 8 guide only
The benchmark Kubernetes administrator exam, taken entirely in a live cluster: architecture and installation, workloads and scheduling, networking, storage, and troubleshooting under time pressure.
Building, deploying and debugging cloud-native applications on AWS: SDK behaviour, serverless patterns, authentication flows, deployment pipelines and troubleshooting.
The hands-on associate exam: setting up a cloud environment, planning and configuring solutions, deploying and operating workloads, and configuring access and security.
The standard infrastructure-as-code credential: Terraform workflow and state, modules and providers, variables and outputs, and how HCP Terraform changes team collaboration.
The MLOps-oriented associate exam: preparing data for training, developing and tuning models, deploying inference workloads, and monitoring them once they are live.
Automating delivery and operations at professional depth: pipeline design, infrastructure as code, resilient deployments, observability and automated incident response.
End-to-end delivery on Azure DevOps and GitHub: source control strategy, build and release pipelines, dependency management, security and compliance, and instrumentation.
The operations-focused associate exam: monitoring and remediation, reliability, provisioning automation, networking and cost control for running AWS workloads day to day.
Production machine learning on Google Cloud: framing problems, building and scaling models on Vertex AI, serving them reliably, and automating and monitoring the pipeline.
The successor to SOA-C02: operating workloads on AWS — monitoring and observability, reliability and continuity, deployment and automation, security and compliance, then networking and cost.
The DevNet Associate exam: software design basics, consuming REST APIs, Cisco platform SDKs, application deployment and security, and infrastructure automation.
Site reliability engineering on Google Cloud: bootstrapping an organisation for DevOps, building CI/CD pipelines, applying SRE practices, and monitoring and optimising services.
Secrets management with Vault: authentication methods and policies, static and dynamic secrets engines, encryption as a service, and the operational side of running Vault.
Platform-agnostic cloud operations: architecture and design, deployment, day-two operations, cloud security, DevOps fundamentals and troubleshooting across providers.
The DevNet Professional core exam: software design and architecture, advanced API usage, Cisco platform development, secure application deployment and infrastructure automation.
The RHCE exam, rebuilt around Ansible: writing and running playbooks, using roles and collections, managing variables and secrets, and automating RHEL administration at scale.
Administering an OpenShift cluster in a live lab: managing users and RBAC, configuring networking and storage, deploying applications, and operating cluster components.
A hands-on lab exam for production Terraform: authoring reusable modules, testing and validating configurations, managing state operations, and running Terraform in a team.
Monitoring fundamentals with Prometheus: observability concepts, Prometheus architecture and instrumentation, PromQL querying, and alerting and dashboarding practice.
GitOps principles and practice: declarative desired state, reconciliation loops, repository and environment strategy, and the security model around automated delivery.
Instrumentation with OpenTelemetry: the data model for traces, metrics and logs, the collector and its pipelines, instrumentation approaches, and maintaining telemetry quality.
Service networking with Consul: service discovery and health checking, the key-value store, service mesh with sidecar proxies, and securing communication between services.
The Argo project family: Argo CD for GitOps delivery, Argo Workflows for pipelines, Argo Rollouts for progressive delivery, and Argo Events for event-driven automation.
How many exams each provider contributes here.
Where each exam sits, so you can plan a progression rather than a single jump.
Multi-exam credentials in this category.
An expert credential combining an Azure associate certification with AZ-400, covering delivery pipelines, infrastructure as code and instrumentation.
Microsoft
23 exams from 8 vendors are tagged to DevOps & SRE. Exams appear in this category when it is either their primary focus or a substantial secondary one.
AWS Certified Developer – Associate (DVA-C02) is the most common entry point. Building, deploying and debugging cloud-native applications on AWS: SDK behaviour, serverless patterns, authentication flows, deployment pipelines and troubleshooting.
Certified Kubernetes Administrator, AWS Certified Developer – Associate (DVA-C02) and Google Associate Cloud Engineer are the most frequently pursued in this category.
Cloud Computing
Certifications covering public cloud platforms, architecture, migration and cost management.
Containers & Kubernetes
Kubernetes, container runtime, service mesh and cloud native project certifications.
Software Development
Developer credentials covering languages, platform SDKs, APIs and application architecture.