Week #27: What We Shipped This Week
This week, we’ve accelerated deployment, strengthened system reliability, and optimized costs—delivering clear value and transparency into our cloud services.
Launched a full staging stack in under an hour using our standardized Terraform modules.
Why it matters: Cuts QA setup from days to hours, enabling faster feature validation and reducing time-to-market for your releases.
Migrated Terraform execution to container-based GitLab runners on Kubernetes.
Why it matters: Boosts build reliability and slashes spin-up times by 30%, ensuring consistent delivery of infrastructure changes.
Retuned cache TTLs and caching logic to eliminate p95 response spikes—requests now stay under 200 ms even at peak traffic.
Why it matters: Maintains smooth application performance and meets your SLA targets.
Integrated Memray into Python services for automated heap snapshots, catching memory leaks before they cause outages.
Why it matters: Keeps applications running smoothly and reduces operational disruptions.
Released a Grafana view that tags and correlates 5XX errors with request metadata for instant troubleshooting.
Why it matters: Minimizes downtime by enabling near-real-time incident response.
Automated delivery of CIS and static-analysis scan results into our shared Confluence portal.
Why it matters: Offers you and your auditors a consolidated view of security posture and remediation progress.
Enforced callback URL checks in CI pipelines to prevent login disruptions.
Why it matters: Safeguards secure authentication flows across staging and production.
Executed an automated script to correct tagging inconsistencies (cost-center, environment, owner).
Why it matters: Ensures accurate billing and consistent application of security policies.
Analyzed usage trends and recommended a 20% reserved-instance commitment for steady workloads.
Why it matters: Projects high-five-figure savings and stabilizes your monthly infrastructure budget.
Conducted a workshop using an impact-versus-effort framework to prioritize observability enhancements.
Why it matters: Guarantees that upcoming features deliver maximum visibility into your systems.
Fixed Helm chart deployment hooks to enable seamless content updates without user impact.
Why it matters: Maintains high availability while rolling out improvements.
Enhanced multi-tenant cron logic so scheduled batch tasks execute without gaps.
Why it matters: Ensures critical data workflows run on time, every time.
Added health checks and auto-restart policies—critical services now achieve 99.9% uptime.
Why it matters: Reduces manual intervention and accelerates recovery from failures.
Tuned Prometheus thresholds to the 99th percentile, reducing false alarms by 70%.
Why it matters: Keeps you informed of real issues without alert fatigue.
Launched endpoints for automated IAM and network setup via code.
Why it matters: Empowers your teams to onboard new services quickly and securely.
Terraform AWS Provider v6.2.0 & v6.0 GA: Introduced resource-level tagging support and smoother multi-region workflows.
Terraform v6.0 Upgrade Guide: Scalr’s deep-dive highlights breaking changes and quick fixes for a smooth transition.
GitLab Runner Token Update: GitLab 16.x shifts to token-based runner registration—enhancing security and lifecycle management.
Grafana v10 EOL & Upgrade to v11: Azure Managed Grafana auto-upgrades this summer—plan to leverage new visualization panels.
Prometheus 3.5.0-rc.0 Preview: Experimental type-and-unit metadata labels for richer metrics and more precise alerts.
DevOps + MLOps Convergence: Treating ML pipelines as first-class code artifacts improves collaboration—85% of models reach production when managed alongside application code (TechRadar).
Rightsizing Savings Plans: AWS Cost Optimization Hub’s latest recommendations deliver up to 15% more granular Savings Plan options for ECS and Lambda workloads (AWS).
Lambda Cold-Start Improvements: Enable provisioned concurrency and slimmed-down handlers for 25% faster function startup.
Go Service Profiling: Roll out scheduled pprof captures and dashboards to detect goroutine leaks and CPU hotspots.
Automated GDPR Tag Audits: Integrate compliance checks into CI to validate data residency tagging.
Kudos to Alex & Maria for the CI runner migration—your work prevented hours of build failures. And props to the on-call team for rapid incident response over the weekend.
Thank you for your partnership—stay tuned for next week’s update!
