Core API - Stability, Test Automation & Continous Integration
Enhancing Kafka implementation and test automation on CI pipelines to boost reliability and delivery velocity
Duration
10 months
Duration
10 months
Team
2 Full-stack Developers, 1 QA Engineer, Augmented by NetForemost DevOps for pipeline best-practices
Engagement Model
Dedicated Teams
Engagement Model
Dedicated Teams
Tools
New engineer ramp-up time decreased by more than 50 %
Tools
New engineer ramp-up time decreased by more than 50 %
THE CHALLENGE
Legacy bugs & tech debt – Core endpoints produced intermittent 5xx errors that were hard to reproduce.
Low observability – No centralized logging or KPIs to diagnose issues.
Glacial releases – Manual regression testing meant a six-week deployment cadence.
Knowledge gaps – Sparse documentation made it painful for new hires to contribute.
BetterTrucks needed a reliable, observable, and testable API layer—without halting daily operations.
THE CHALLENGE
Legacy bugs & tech debt – Core endpoints produced intermittent 5xx errors that were hard to reproduce.
Low observability – No centralized logging or KPIs to diagnose issues.
Glacial releases – Manual regression testing meant a six-week deployment cadence.
Knowledge gaps – Sparse documentation made it painful for new hires to contribute.
BetterTrucks needed a reliable, observable, and testable API layer—without halting daily operations.
THE CHALLENGE
Legacy bugs & tech debt – Core endpoints produced intermittent 5xx errors that were hard to reproduce.
Low observability – No centralized logging or KPIs to diagnose issues.
Glacial releases – Manual regression testing meant a six-week deployment cadence.
Knowledge gaps – Sparse documentation made it painful for new hires to contribute.
BetterTrucks needed a reliable, observable, and testable API layer—without halting daily operations.
THE SOLUTION
1 • Stability First
Error budget defined: target ≤ 0.01 % failed requests.
Hot-path refactors in C# (.NET 7) eliminated race conditions and N+1 queries.
MySQL tuning (indexing, read replicas) cut P95 response times by 38 %.
2 • Test Automation & Coverage
Introduced xUnit + FluentAssertions for unit tests; SpecFlow for integration scenarios.
Built a contract-test harness to validate external partner integrations on every PR.
Reached 85 % coverage, catching regressions before they hit production.
3 • Observability & KPIs
OpenTelemetry instrumentation piped metrics to Datadog dashboards: latency, error rate, throughput, and deployment health.
SLO alerts in PagerDuty give ops a 15-minute lead on customer impact.
4 • Continuous Delivery
GitHub Actions workflow runs linting, build, tests, security scan, and blue-green deploy to AWS ECS.
Feature flags let product managers toggle functionality without redeploying
THE SOLUTION
1 • Stability First
Error budget defined: target ≤ 0.01 % failed requests.
Hot-path refactors in C# (.NET 7) eliminated race conditions and N+1 queries.
MySQL tuning (indexing, read replicas) cut P95 response times by 38 %.
2 • Test Automation & Coverage
Introduced xUnit + FluentAssertions for unit tests; SpecFlow for integration scenarios.
Built a contract-test harness to validate external partner integrations on every PR.
Reached 85 % coverage, catching regressions before they hit production.
3 • Observability & KPIs
OpenTelemetry instrumentation piped metrics to Datadog dashboards: latency, error rate, throughput, and deployment health.
SLO alerts in PagerDuty give ops a 15-minute lead on customer impact.
4 • Continuous Delivery
GitHub Actions workflow runs linting, build, tests, security scan, and blue-green deploy to AWS ECS.
Feature flags let product managers toggle functionality without redeploying
THE SOLUTION
1 • Stability First
Error budget defined: target ≤ 0.01 % failed requests.
Hot-path refactors in C# (.NET 7) eliminated race conditions and N+1 queries.
MySQL tuning (indexing, read replicas) cut P95 response times by 38 %.
2 • Test Automation & Coverage
Introduced xUnit + FluentAssertions for unit tests; SpecFlow for integration scenarios.
Built a contract-test harness to validate external partner integrations on every PR.
Reached 85 % coverage, catching regressions before they hit production.
3 • Observability & KPIs
OpenTelemetry instrumentation piped metrics to Datadog dashboards: latency, error rate, throughput, and deployment health.
SLO alerts in PagerDuty give ops a 15-minute lead on customer impact.
4 • Continuous Delivery
GitHub Actions workflow runs linting, build, tests, security scan, and blue-green deploy to AWS ECS.
Feature flags let product managers toggle functionality without redeploying
THE OUTCOME
Five-nines mindset: 99.99 % uptime sustained over the last 90 days.
Deployment velocity tripled: shipping every 2 weeks with near-zero rollbacks.
Confidence at scale: Automated suite prevents 75 % of previously recurring production bugs.
THE OUTCOME
Five-nines mindset: 99.99 % uptime sustained over the last 90 days.
Deployment velocity tripled: shipping every 2 weeks with near-zero rollbacks.
Confidence at scale: Automated suite prevents 75 % of previously recurring production bugs.
THE OUTCOME
Five-nines mindset: 99.99 % uptime sustained over the last 90 days.
Deployment velocity tripled: shipping every 2 weeks with near-zero rollbacks.
Confidence at scale: Automated suite prevents 75 % of previously recurring production bugs.
Testimony
“NetForemost turned our Core API from a black-box liability into a measurable, high-velocity asset. We ship more often, break less, and sleep better.”
Mike Koleno, CTO, BetterTrucks
Reach out anytime
Let’s Stay Connected
Got questions or want to collaborate? Feel free to reach out—I'm open to new projects or just a casual chat!
Reach out anytime
Let’s Stay Connected
Got questions or want to collaborate? Feel free to reach out—I'm open to new projects or just a casual chat!
Reach out anytime
Let’s Stay Connected
Got questions or want to collaborate? Feel free to reach out—I'm open to new projects or just a casual chat!