December 2024 monthly summary for harness/helm-charts: Delivered two security and observability features that enhance deployment reliability and operational insights. Implemented image pull secrets support for the mongofcv upgrade job, enabling credential provisioning for pulling container images via an existing helper. Improved airgap image generation by correcting image names for Redis and Mongo exporters and enabling database monitoring across MongoDB, Redis, TimescaleDB, and PostgreSQL within the image generation configuration. These changes reduce manual configuration, improve security posture, and provide end-to-end visibility for deployed Helm charts.

Month: 2024-11 Overview: Delivered stability and scalability enhancements for harness/helm-charts, focusing on reproducible builds, safer upgrade paths, and centralized autoscaling to improve deployment reliability and operational efficiency. Key features delivered: - Pin helm-init-container image tag to 1.0.0 and propagate to ff-pushpin-service to ensure reproducible builds. (Commit: 7c19b5e7622e5435d97f65a7be29e278a583349f) - Introduce a MongoDB FCV pre-upgrade job gated on MongoDB presence and an explicit FCV upgrade flag; add configurable node selectors, affinity, and tolerations for flexible upgrade deployment. (Commit: 94391b00d2347f122989337451bc5f676af61228) - Add global autoscaling configuration (autoscaling.enabled = true) under global in values.yaml for centralized autoscaling control across deployed resources. (Commit: 2110846fb4d994a89f0d989113c4755a85817920) Major bugs fixed (stability and upgrade risk mitigations): - Ensured reproducible deployments by pinning image versions and propagating changes consistently across related services. - Implemented a safeguarded MongoDB FCV upgrade path to prevent upgrade issues in environments with MongoDB, reducing upgrade-related outages. - Introduced centralized autoscaling to prevent under- or over-provisioning and simplify capacity planning across environments. Overall impact and accomplishments: - Deployment stability and scalability: predictable builds, safer upgrade workflows, and scalable resource management across clusters. - Operational efficiency: reduced manual intervention for scaling and upgrades; improved consistency across environments. - Business value: lower downtime risk, faster deployment cycles, and improved resource utilization. Technologies/skills demonstrated: - Helm chart customization and version pinning, Kubernetes deployment strategies, and values.yaml configuration. - MongoDB feature compatibility handling (FCV) and upgrade gating. - Kubernetes scheduling concepts (node selectors, affinity, tolerations) and autoscaling configurations.