Description

A focused course, tailored for you

The Developer's Course on Optimizing Runtime When Release Deadlines Loom

Turn tangled C# performance bottlenecks into predictable, fast releases without endless debugging sessions.

Stop spending every Friday night rebuilding the same performance report while release deadlines keep slipping.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

You spend weeks chasing GC pauses, memory leaks, and thread contention while sprint reviews pile up. Your current tooling is a mix of ad-hoc scripts, scattered log files, and a few manual profiling snapshots that rarely line up with production load. When the quarterly release gate opens, senior engineering expects a clean performance report, and any missed metric triggers re-work and credibility loss.

The lack of a repeatable profiling process forces you to ask the same questions every release cycle, pulling the same data from different environments and rebuilding dashboards from scratch. Stakeholders see inconsistent numbers, and your manager worries about hidden cost overruns that could affect the next budget round.

What you walk away with

Identify and eliminate the top three runtime bottlenecks in any .NET service.
Build a repeatable profiling pipeline that produces a publish-ready performance report each sprint.
Create a calibrated memory-usage baseline that stakeholders can reference during capacity planning.
Implement automated alerts for GC pressure and thread pool saturation.
Communicate performance improvements to leadership with a single slide deck.

The 12 modules

Module 1. Mapping Real-World Load to Local Tests

Learn to mirror production traffic patterns in a sandbox environment.

Module 2. Instrumenting Code for Minimal Overhead

Add lightweight diagnostics that capture latency without slowing the app.

Module 3. Understanding .NET GC Mechanics

Break down garbage collection phases and their impact on latency.

Module 4. Thread Pool and Async Pitfalls

Spot common async misuse that leads to thread starvation.

Module 5. Building a CI-Integrated Profiling Step

Automate profiling runs within your build pipeline and archive results.

Module 6. Creating a Baseline Performance Dashboard

Generate a visual scorecard that tracks key metrics over time.

Module 7. Memory Leak Detection Techniques

Use diagnostic tools to locate and fix hidden memory leaks.

Module 8. Analyzing Hot Paths with Flame Graphs

Visualize call stacks to pinpoint the code sections that dominate CPU time.

Module 9. Setting Thresholds and Alerting Rules

Define acceptable performance limits and configure automated alerts.

Module 10. Packaging a Release-Ready Performance Report

Assemble data and narratives into a single slide deck for stakeholders.

Module 11. Stakeholder Communication Playbook

Translate technical metrics into business-focused talking points.

Module 12. Continuous Improvement Loop

Embed a feedback cycle that turns each release into a performance learning opportunity.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers Mapping Real-World Load to Local Tests , exactly the pain point you face when production traffic spikes break your dev environment.

Module 5 covers Building a CI-Integrated Profiling Step , precisely the friction you encounter adding diagnostics without slowing your build pipeline.

Module 9 covers Setting Thresholds and Alerting Rules , the exact gap you have when alerts never fire before a release gate.

What you get with this course

A step-by-step profiling playbook.
A pre-populated CI pipeline snippet for automated runs.
A reusable memory-usage baseline template.
A flame-graph generation guide.
A performance scorecard dashboard example.
A set of alert rule definitions.
A one-page release-ready performance report layout.
A stakeholder communication checklist.
A checklist for async best practices.
A sample alert notification email template.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: tailored playbook in hand, CI snippet pre-filled for your repo, and a baseline memory template ready to import.

Week 1: first version of the performance dashboard live, populated with real data from your staging environment.

Month 1: recurring reporting cycle established, with automated alerts and a polished report deck ready for the next release gate.

Before and after

Before

Your current state consists of disparate log files, occasional manual dotTrace sessions, and a half-finished spreadsheet that never gets updated. Evidence lives in personal notebooks, and each release gate forces you to recreate the same performance charts, causing missed deadlines and frustrated leadership.

After

After the course you have a live profiling pipeline, a populated performance dashboard, and a ready-to-share report deck. Evidence is stored in a version-controlled folder, alerts fire automatically, and you can discuss capacity and cost with leadership using concrete numbers every sprint.

What happens if you do not address this

If you ignore this, the next quarterly release will arrive with no credible performance evidence, forcing emergency hot-fixes and a negative review from senior engineering. Your manager will be asked to justify the lack of metrics, risking budget cuts for your team. The recurring sprint demo will continue to showcase unstable runtimes, eroding confidence in your codebase.

Who it is for

A C# developer embedded in a large energy firm who writes core services, runs nightly builds, and participates in sprint ceremonies. You ship code daily, own the performance health of critical APIs, and need a pragmatic method to embed profiling into your CI pipeline without reinventing the wheel each quarter.

Who this is NOT for. This is not for someone who needs a basic introduction to C# syntax or wants generic coding tutorials.

How it arrives

Within 24 hours of purchase your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it. The playbook is hand-built around your specific situation, not LLM-generated boilerplate.

Time investment. 6 hours of focused work spread over a week, saving an estimated 40-60 hours of internal troubleshooting and re-reporting.

Why $199 is the right number

A half-day consultant to set up profiling typically costs $2K-$5K and delivers a one-off script. A generic performance certification runs $800-$2K and lacks hands-on tooling. DIY effort exceeds 60 hours. At $199 you get a complete, repeatable system that pays for itself in the first release.

FAQ

Do I need to already use a specific profiler?

No, the course works with the built-in .NET tools and free open-source profilers.

Will this fit into my existing CI pipeline?

Yes, the modules show how to add a profiling step without extending build times noticeably.

What if my services run on Linux containers?

All examples include container-friendly commands and can be applied to Linux or Windows hosts.

Is the course suitable for a team of developers?

It is designed for individual use but includes group worksheets for collaborative adoption.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.