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Courses / Performance Testing / Performance Testing Advanced Training
Performance Testing · Level 04 · Corporate 5 Days

Performance Testing Advanced Training

Lead performance engineering for large systems: plan capacity, test at scale in cloud and Kubernetes, and build continuous performance governance. Learn Performance Testing through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.

Last updated

Selected levelAdvanced
Live onlineMax 8-10 hrs
Corporate (day-wise)5 Days
Self-paced LMS1 year
NEXT COHORT · 1st of next month

Live & Interactive session

₹34,999

Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.

  • Live small-batch cohort from soon.
  • Interactive discussion and lab troubleshooting.
  • Recommended for teams that need guided implementation.
Starts immediately

1:1 Live training

₹99,999

The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.

00Days
00Hrs
00Min
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Max 10 learners per batch · weekend batch first Saturday of the month
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Trusted learning ecosystem for engineering teams
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About The Course

About Performance Testing Advanced Training.

Understand where Performance Testing fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.

Program overview

Performance Testing is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.

This DevOpsSchool Performance Testing program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Advanced.

Visible agenda on this page: Foundation to Advanced.
Corporate Training

Private Performance Testing training for delivery teams, platform groups and engineering organizations.

DevOpsSchool provides corporate Performance Testing training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.

  • Private online or classroom delivery for engineering teams
  • Aligned to Performance Testing usage maturity, admin depth and collaboration patterns
  • Useful for rollout, migration, governance and workflow consistency goals
  • Can be tailored for developers, administrators, DevOps teams and leadership stakeholders

Why teams use DevOpsSchool

DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.

Training Options

Instructor-led, self-paced and corporate delivery options.

Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.

DurationModeLevel accessBatch
8 to 10 Hrs. maxLive & InteractiveAdvancedPublic batch
8 to 10 Hrs. max1:1 Live trainingAdvancedStarts immediately
1 year LMS accessSelf-paced videoAll 4 levelsAnytime access
5 DaysCorporatePerformance Testing Advanced TrainingPrivate team batch
Learning Outcomes

What learners should be able to do after Performance Testing training.

The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.

Design realistic load tests

Model production workloads and script correlated, data-driven tests in JMeter and k6.

Diagnose performance bottlenecks

Correlate load results with metrics, traces and profiles to find and fix root causes.

Engineer performance continuously

Run performance gates in CI/CD and plan capacity for scalable, resilient systems.

Course Fit

Why this skill, what you will achieve, and who should attend.

Use this section to decide whether the course matches your role, current experience and expected Performance Testing responsibilities before reviewing the detailed agenda.

Why Performance Testing matters

  • Performance Testing helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
  • It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
  • For DevOps and platform teams, Performance Testing becomes more valuable when connected with automation, governance, monitoring and delivery practices.
  • Teams using Performance Testing effectively reduce ad-hoc execution and move toward consistent engineering standards.

Objectives

  • Understand Performance Testing concepts, architecture, terminology and operational usage patterns.
  • Learn practical configuration, workflow design, access controls, team usage and quality practices.
  • Apply Performance Testing in real delivery workflows using automation, integrations, traceability and governance patterns.
  • Build practical confidence to use Performance Testing for individual, team and organizational use cases.

Pre-requisites

  • Basic computer literacy and familiarity with software development workflows.
  • Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
  • No deep programming background is required for the Foundation and Essential levels.

Who this course is for

  • Developers, administrators and engineers who need practical Performance Testing usage skills.
  • DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
  • Engineering leads and technical managers responsible for workflow quality, access controls and governance.
  • Corporate teams migrating to or standardizing on Performance Testing.
Cohort Schedule

Small-batch live training starts every month.

Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.

Weekend live batch

Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.

Weekday live batch

Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.

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Agenda Inheritance

Agenda depth up to the selected level.

This page shows the learning flow from Foundation through Advanced. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.

Foundation Level: performance concepts, test types and first JMeter scriptDay 1
  • Why performance testing: user experience, capacity, scalability and the cost of slow or failing releases
  • Test types: load, stress, spike, soak or endurance, volume, scalability and breakpoint tests
  • Core metrics: response time percentiles (p90, p95, p99), throughput, error rate, concurrency and Apdex
  • Little's Law and workload basics: arrival rate, think time, pacing and open versus closed workload models
  • Performance requirements: turning business goals into SLAs and SLOs with measurable thresholds
  • Test environment: production-like sizing, test data, isolation and monitoring the system under test
  • Tool landscape: Apache JMeter, Grafana k6, Gatling, Locust and cloud load services compared
  • Installing JMeter: Java requirements, GUI versus non-GUI mode, plugins manager and folder layout
  • JMeter building blocks: test plan, thread groups, HTTP requests, listeners, config elements, timers and pre or post processors
  • Recording a script: HTTP(S) Test Script Recorder, browser proxy setup and the JMeter root certificate
  • First run: running in non-GUI mode with jmeter -n -t -l and generating the HTML dashboard report
  • Reading results: aggregate report, response time over time, errors and spotting obvious bottlenecks
Essential Level = Foundation + realistic scripts, correlation, parameterisation and assertionsDay 2 · 2 days cumulative
  • Parameterisation: CSV Data Set Config, user variables, random and counter functions for unique test data
  • Correlation: extracting session IDs, CSRF tokens and OAuth tokens with Regular Expression, JSON and Boundary extractors
  • Assertions: response, JSON, duration and size assertions without overloading the load generator
  • Logic controllers: transaction, if, loop, while, throughput and once-only controllers for user journeys
  • Timers and pacing: constant, uniform random and constant throughput timers, think time from real analytics
  • Workload modelling: transaction mix from production logs, concurrency targets and ramp-up profiles
  • API performance testing: REST and GraphQL requests, headers, authentication and payload variation
  • Grafana k6 basics: JavaScript test scripts, virtual users, scenarios and executors such as ramping-arrival-rate
  • k6 checks and thresholds: pass and fail criteria on p95 latency and error rate in code
  • Gatling and Locust overview: simulation DSL, feeders and Python user classes for teams that prefer code
  • Script debugging: View Results Tree, debug post processor, logging and validating one user before scaling up
  • Test execution checklist: smoke run, baseline run, environment readiness and stakeholder sign-off
Intermediate Level = Essential + monitoring, bottleneck analysis, CI integration and distributed runsDay 3 · 3 days cumulative
  • Live results: JMeter Backend Listener and k6 outputs to InfluxDB or Prometheus with Grafana dashboards
  • Server-side monitoring: CPU, memory, disk, network, thread pools and connection pools during the test
  • APM correlation: tracing slow transactions with OpenTelemetry, Grafana Tempo, Dynatrace, New Relic or AppDynamics
  • JVM and runtime analysis: garbage collection logs, heap usage, thread dumps and profilers such as async-profiler
  • Database bottlenecks: slow query logs, execution plans, missing indexes, lock contention and connection limits
  • Front-end performance: Core Web Vitals, Lighthouse, WebPageTest and browser-level tests with k6 browser
  • Distributed load generation: JMeter remote servers, k6 on Kubernetes with the k6 Operator, network and clock checks
  • Performance tests in CI/CD: Jenkins, GitHub Actions or GitLab CI jobs with threshold-based quality gates
  • Result comparison: baselines, run-to-run variance, regression detection and trend reports
  • Testing microservices: service virtualisation with WireMock, mocks for third-party APIs, testing one service at a time
  • Messaging and protocol tests: Kafka, JDBC, WebSocket and gRPC load with plugins and extensions
  • Troubleshooting test issues: load generator saturation, coordinated omission, caching effects and noisy environments
  • Reporting: executive summary, findings with evidence, risk rating and tuning recommendations
Advanced Level = Intermediate + capacity planning, scale, resilience and performance engineeringDays 4-5 · 5 days cumulative
  • Performance engineering lifecycle: requirements, design reviews, early component tests and production feedback
  • Capacity planning: queueing basics, utilisation laws, modelling growth and headroom from test data
  • Large-scale load: cloud load generation across regions, Grafana Cloud k6 or Azure Load Testing, cost control
  • Kubernetes performance: HPA and cluster autoscaler behaviour, pod limits, throttling and scale-out tests
  • Scalability testing: horizontal versus vertical scaling, finding the breaking point and saturation curves
  • Resilience under load: chaos experiments with failed nodes, latency injection and dependency outages during tests
  • Caching and CDN strategy: cache hit ratios, cache stampedes, CDN offload and edge performance validation
  • Production testing: canary analysis, shadow traffic, synthetic monitoring and safe tests in production
  • SLO-driven governance: performance budgets per service, error budgets and release gates
  • Tuning playbooks: web servers, application thread pools, JVM flags, database configuration and OS network settings
  • Performance test framework at scale: reusable libraries, test data services and a shared results warehouse
  • Capstone: plan, run and report a full performance campaign for a multi-service application
Fees and Access

Choose live training or a full year of self-paced access.

If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.

Live & Interactive session

₹34,999

Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.

  • Live small-batch cohort from soon.
  • Interactive discussion and lab troubleshooting.
  • Recommended for teams that need guided implementation.
Starts immediately

1:1 Live training

₹99,999

The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.

  • Start immediately: no waiting for the monthly batch.
  • One learner, one trainer: full attention on your questions.
  • Sessions planned around your working hours.
  • Your pace, with examples from your own projects and tools.
Training Method

Method of training and assessment.

The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.

SLMethod of training and assessmentWeightage
1Understanding the problem space5%
2Concept discussion10%
3Live demo and walkthrough25%
4Lab and hands-on exercises50%
5Assignments and evaluation10%
Hands-On Labs

Labs, exercises and real workflow practice.

Every level moves from explanation to hands-on practice, review and troubleshooting.

Record and run a first load test

Record a login-and-browse journey with the JMeter recorder, run it for 20 virtual users in non-GUI mode and read the HTML dashboard.

Foundation

Data-driven API load test in k6

Script an authenticated API journey in JMeter and in k6 with CSV test data, token correlation and thresholds, then compare baseline results.

Essential

Find and fix a bottleneck

Run a stress test with live Grafana dashboards and traces, locate a slow database query or exhausted pool, fix it and prove the improvement in CI.

Intermediate

Capstone: full performance campaign

Plan workloads from production data, run distributed load, stress and soak tests on a Kubernetes app with chaos faults, and deliver a capacity report.

Advanced
Connected Toolchain

Performance Testing is taught as part of a working delivery ecosystem.

You learn where the tool sits in the wider engineering workflow, not in isolation.

Core foundations

Terminology, concepts, architecture and the operating model behind the tool.

Workflow traceability

Map practical work to tasks, approvals, documentation and delivery visibility.

Automation and integration

Use Performance Testing with validation checks, automation hooks and delivery workflows.

Governance controls

Operate with permissions, approvals, policy checks and production-safe workflows.

Assessment Path

How your practical work is assessed.

Your certificate is backed by labs, assignments, capstone thinking and completion evidence.

Assignments

Level-specific assignments verify setup, configuration, workflow quality and operating discipline.

Hands-on validation

Learners are expected to complete practical usage, automation and troubleshooting exercises.

Completion record

Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.

Led by Rajesh Kumar and the DevOpsSchool practitioner network.

Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.

Certificate

Earn a DevOpsSchool Performance Testing certificate.

Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Performance Testing level.

Certificate verification

Certificate of Completion

Performance Testing Advanced Training

Unique credential ID, verifiable online

Learner Reviews

What learners say about training with Rajesh Kumar.

★★★★★

“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”

Indrayani, India · rated 5.0 on DevOpsSchool testimonials
★★★★★

“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”

Sumit Kulkarni, Software Engineer · rated 5.0 on DevOpsSchool testimonials
★★★★★

“The training was very useful and interactive. Rajesh helped develop the confidence of all.”

Abhinav Gupta, Pune · rated 5.0 on DevOpsSchool testimonials

Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.

Used by developers, DevOps engineers, release leads and engineering managers.

Private batches are available for teams that want the same agenda aligned to their own tools and workflows.

Comparison

Why this Performance Testing path is different.

The value is not only one course. The subscription unlocks the full learning ecosystem for one year.

FeatureDevOpsSchool Performance Testing TrainingTypical short course
LevelsFoundation, Essential, Intermediate, AdvancedSingle generic syllabus
Self-paced accessAll four levels plus 20+ courses and 50+ toolsUsually one course only
Live trainingDemos, labs, Q&A and assignment reviewOften lecture-heavy
CertificateDevOpsSchool completion certificateVaries by provider
FAQ

Questions learners ask before joining.

Does Foundation cost less than Advanced?

No. Self-paced pricing is intentionally the same because access includes all four levels by default.

What is included in the yearly subscription?

One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.

Can corporate teams request customization?

Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.

What is the recommended sequence?

Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.

Need Assistance

Talk to DevOpsSchool before choosing the batch.

Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Performance Testing level fits your team.

Related Blogs

Extend the course with articles, explainers and workflow guidance.

Continue learning with supporting articles that connect Performance Testing practices to DevOps, automation, governance and delivery workflows.

Start Performance Testing Advanced training.

Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.

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