Kubernetes Troubleshooting
Develop the skills to resolve a multi-layer Kubernetes application outage through a learning path centred on Kubernetes Troubleshooting. Explore concepts, guided practice and an applied project.
Build practical Kubernetes Troubleshooting skills.
Skills and knowledge developed in this course.
- Diagnostic workflow
- Pod and controller faults
- Service and DNS faults
- Network-policy diagnosis
- Storage and node faults
- Incident exercise
About this course
This course develops practical capability in Kubernetes Troubleshooting. Its course-specific content covers Diagnostic workflow, Pod and controller faults, Service and DNS faults, Network-policy diagnosis, followed by an applied project focused on resolve a multi-layer kubernetes application outage. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Administrators, developers and practitioners who work with Kubernetes Troubleshooting or plan to take on responsibilities in this area.
Before you start
Working knowledge of containers & kubernetes and practical familiarity with the named platform or subject. Review the course topics before enrolment to confirm the lab starting point.
Resolve a multi-layer Kubernetes application outage
Deliver resolve a multi-layer kubernetes application outage. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Diagnostic workflow
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- Symptoms, events and recent changes
- Layered hypothesis testing and recovery boundaries
Practical exerciseApply diagnostic workflow to the resolve a multi-layer kubernetes application outage and capture the validation evidence.
02Pod and controller faults
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- Image pulls, crashes and scheduling failures
- Probe configuration and rollout state
Practical exerciseApply pod and controller faults to the resolve a multi-layer kubernetes application outage and capture the validation evidence.
03Service and DNS faults
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- Selectors, endpoints and ports
- CoreDNS checks and name-resolution evidence
Practical exerciseApply service and dns faults to the resolve a multi-layer kubernetes application outage and capture the validation evidence.
04Network-policy diagnosis
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- Ingress, egress and CNI observations
- Packet paths and blocked-connection analysis
Practical exerciseApply network-policy diagnosis to the resolve a multi-layer kubernetes application outage and capture the validation evidence.
05Storage and node faults
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- Volume claims, mounts and permissions
- Node pressure and component availability
Practical exerciseApply storage and node faults to the resolve a multi-layer kubernetes application outage and capture the validation evidence.
06Incident exercise
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- Resolve combined application and cluster faults
- Deliver a timeline and verified recovery checks
Practical exerciseApply incident exercise to the resolve a multi-layer kubernetes application outage and capture the validation evidence.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Diagnostic workflow · Pod and controller faults
Establish the Kubernetes Troubleshooting scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Service and DNS faults · Network-policy diagnosis
Apply the core Kubernetes Troubleshooting techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for resolve a multi-layer kubernetes application outage. - 04Learning milestone 4 In progress
Deliver the applied project
Complete resolve a multi-layer kubernetes application outage, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| Platform / DevOps Engineer | ₹7–13 LPA | ₹17–30 LPA | ₹34–56 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗