
Mike Thamm engineered and maintained core observability and monitoring infrastructure across the canonical/opentelemetry-collector-k8s-operator and related repositories, focusing on secure, reliable Kubernetes operator deployments. He delivered features such as automated TLS certificate management, dynamic alert rule handling, and Terraform-driven deployment automation, using Python, Terraform, and Kubernetes APIs. Mike’s work included refactoring configuration management, enhancing telemetry pipelines, and integrating CI/CD quality gates to reduce operational risk. By consolidating API endpoints and improving certificate lifecycle handling, he enabled safer, more scalable monitoring. His contributions demonstrated depth in backend development, infrastructure as code, and DevOps, resulting in robust, production-ready operator solutions.
February 2026 performance summary for the canonical/opentelemetry-collector-k8s-operator: Delivered OTLP Metrics Telemetry Enhancement, introducing send/receive relations and OTLP data reception/forwarding to improve telemetry handling and cross-service data flow. This work enhances observability reliability and data integrity across the platform.
February 2026 performance summary for the canonical/opentelemetry-collector-k8s-operator: Delivered OTLP Metrics Telemetry Enhancement, introducing send/receive relations and OTLP data reception/forwarding to improve telemetry handling and cross-service data flow. This work enhances observability reliability and data integrity across the platform.
January 2026 monthly summary for the observability stack. Delivered security, reliability, and deployment improvements across multiple Kubernetes operators and coordinators, with a focus on TLS security, stable deployment endpoints, and streamlined CI/test maintenance. The work aligned with business goals of secure metrics exposure, resilient monitoring, and scalable observability across environments.
January 2026 monthly summary for the observability stack. Delivered security, reliability, and deployment improvements across multiple Kubernetes operators and coordinators, with a focus on TLS security, stable deployment endpoints, and streamlined CI/test maintenance. The work aligned with business goals of secure metrics exposure, resilient monitoring, and scalable observability across environments.
December 2025 monthly summary for canonical/opentelemetry-collector-k8s-operator: Delivered a production-safe OpenTelemetry exporter with nopexporter and an opt-in debug exporter, combined with improved config management and test coverage to support enhanced logging and metrics. Implemented separation of internal logs from debug exporter logs, refined telemetry configuration, log levels, and alert rules to strengthen production observability and performance monitoring. These improvements reduce deployment risk, accelerate troubleshooting, and establish a solid foundation for scalable monitoring as usage grows.
December 2025 monthly summary for canonical/opentelemetry-collector-k8s-operator: Delivered a production-safe OpenTelemetry exporter with nopexporter and an opt-in debug exporter, combined with improved config management and test coverage to support enhanced logging and metrics. Implemented separation of internal logs from debug exporter logs, refined telemetry configuration, log levels, and alert rules to strengthen production observability and performance monitoring. These improvements reduce deployment risk, accelerate troubleshooting, and establish a solid foundation for scalable monitoring as usage grows.
November 2025 focused on strengthening TLS security and certificate lifecycle management across two Kubernetes operator charms: Prometheus K8s Operator and OpenTelemetry Collector K8s Operator. Key changes enable CA certificate handling, integration with root trust stores, and automated certificate refresh, reducing manual configuration and mitigating TLS-related failures in production scrapes and data collection pipelines. Delivered via two new relation endpoints and refactored certificate handling paths to align with established security standards. These changes enhance reliability, security posture, and operational efficiency for users deploying Prometheus and OpenTelemetry in Kubernetes environments.
November 2025 focused on strengthening TLS security and certificate lifecycle management across two Kubernetes operator charms: Prometheus K8s Operator and OpenTelemetry Collector K8s Operator. Key changes enable CA certificate handling, integration with root trust stores, and automated certificate refresh, reducing manual configuration and mitigating TLS-related failures in production scrapes and data collection pipelines. Delivered via two new relation endpoints and refactored certificate handling paths to align with established security standards. These changes enhance reliability, security posture, and operational efficiency for users deploying Prometheus and OpenTelemetry in Kubernetes environments.
October 2025 monthly summary focusing on key accomplishments across five Kubernetes operators. Delivered architecture simplifications, stability improvements, and clearer deployment semantics that drive faster, safer releases and easier maintenance. Key features delivered: - grafana-k8s-operator: Centralized type conversion in cosl library by removing the internal type_convert_stored function; updated cosl patch versions accordingly to reflect the internal refactor (commit 782114043bd8f13e7eb82a3bfaae29477274674f). - prometheus-k8s-operator: Terraform Juju provider pinned to stable minor (< 1.0.0) and upgraded to v1.0.0; deployment model variable updated to model_uuid; docs and README updated to reflect version constraints and new variable naming (commit: cec2a550f3ea91c86f31c42ff805a13a0e31b032 and 5e4f569815d21b45d957454540249e3d2af19d52). - opentelemetry-collector-k8s-operator: Terraform Juju provider compatibility improvements; pin to <1.0.0; refactor model input to use model_uuid; README and configuration files updated (commits dfe3bb8f04f3cbfe8b66c959c0f6650f0d66b19f and 7d7e90b04b4ac23665490ac87ae9010210b750d9). - loki-k8s-operator: Terraform Juju provider version compatibility updates; pin to <1.0.0 and upgrade to v1; clarify variable names to align with provider capabilities (commit 1ed4d8f5ff29230433c6ce1c5ddecc75983974b7 and 8515c5ea164d96a828e4346cd94762e79e5f9f64). - mimir-coordinator-k8s-operator: Terraform Juju provider compatibility updates; pin to <1.0.0 and upgrade to v1; align input naming by renaming model input to model_uuid (commits 027cd74aa175fe554345d107cff5299da6ae4360 and 5564d49f8edb9c2cabbef3c4e790e95200c2b5f5). Major bugs fixed: - grafana-k8s-operator: Removed internal type_convert_stored in favor of cosl library ownership, reducing duplication and potential drift (commit 782114043bd8f13e7eb82a3bfaae29477274674f). Overall impact and accomplishments: - Achieved cross-repo stability with Juju provider management and better resource referencing through model_uuid usage. - Improved maintainability via consistent provider versioning, naming conventions, and updated documentation across all operators. - Enabled safer, faster upgrades by pinning to stable versions and standardizing inputs, reducing deployment surprises. Technologies/skills demonstrated: - Terraform, Juju provider versioning and deployment models - Kubernetes operator patterns and multi-repo coordination - Documentation, READMEs, and version management - Refactoring and modularization with cosl library integration
October 2025 monthly summary focusing on key accomplishments across five Kubernetes operators. Delivered architecture simplifications, stability improvements, and clearer deployment semantics that drive faster, safer releases and easier maintenance. Key features delivered: - grafana-k8s-operator: Centralized type conversion in cosl library by removing the internal type_convert_stored function; updated cosl patch versions accordingly to reflect the internal refactor (commit 782114043bd8f13e7eb82a3bfaae29477274674f). - prometheus-k8s-operator: Terraform Juju provider pinned to stable minor (< 1.0.0) and upgraded to v1.0.0; deployment model variable updated to model_uuid; docs and README updated to reflect version constraints and new variable naming (commit: cec2a550f3ea91c86f31c42ff805a13a0e31b032 and 5e4f569815d21b45d957454540249e3d2af19d52). - opentelemetry-collector-k8s-operator: Terraform Juju provider compatibility improvements; pin to <1.0.0; refactor model input to use model_uuid; README and configuration files updated (commits dfe3bb8f04f3cbfe8b66c959c0f6650f0d66b19f and 7d7e90b04b4ac23665490ac87ae9010210b750d9). - loki-k8s-operator: Terraform Juju provider version compatibility updates; pin to <1.0.0 and upgrade to v1; clarify variable names to align with provider capabilities (commit 1ed4d8f5ff29230433c6ce1c5ddecc75983974b7 and 8515c5ea164d96a828e4346cd94762e79e5f9f64). - mimir-coordinator-k8s-operator: Terraform Juju provider compatibility updates; pin to <1.0.0 and upgrade to v1; align input naming by renaming model input to model_uuid (commits 027cd74aa175fe554345d107cff5299da6ae4360 and 5564d49f8edb9c2cabbef3c4e790e95200c2b5f5). Major bugs fixed: - grafana-k8s-operator: Removed internal type_convert_stored in favor of cosl library ownership, reducing duplication and potential drift (commit 782114043bd8f13e7eb82a3bfaae29477274674f). Overall impact and accomplishments: - Achieved cross-repo stability with Juju provider management and better resource referencing through model_uuid usage. - Improved maintainability via consistent provider versioning, naming conventions, and updated documentation across all operators. - Enabled safer, faster upgrades by pinning to stable versions and standardizing inputs, reducing deployment surprises. Technologies/skills demonstrated: - Terraform, Juju provider versioning and deployment models - Kubernetes operator patterns and multi-repo coordination - Documentation, READMEs, and version management - Refactoring and modularization with cosl library integration
September 2025 delivered targeted features and stability improvements across Grafana, Loki, Prometheus, and Grafana Agent operators, with a focus on upgradeability, maintainability, and flexible alert configurations. Key work includes removing deprecated validation probes, relaxing provider version pins to enable newer upgrades, and simplifying Prometheus integration to reduce technical debt. The work enables faster deployments, easier upgrades, and more adaptable monitoring configurations in production environments.
September 2025 delivered targeted features and stability improvements across Grafana, Loki, Prometheus, and Grafana Agent operators, with a focus on upgradeability, maintainability, and flexible alert configurations. Key work includes removing deprecated validation probes, relaxing provider version pins to enable newer upgrades, and simplifying Prometheus integration to reduce technical debt. The work enables faster deployments, easier upgrades, and more adaptable monitoring configurations in production environments.
August 2025 performance summary: Delivered key reliability, safety, and observability improvements across six Kubernetes operators, focusing on safe data handling, robust monitoring, and stable configurations. Achievements enabled improved data integrity, reduced runtime errors, and clearer operational insights, translating to higher platform reliability and predictable deployments.
August 2025 performance summary: Delivered key reliability, safety, and observability improvements across six Kubernetes operators, focusing on safe data handling, robust monitoring, and stable configurations. Achievements enabled improved data integrity, reduced runtime errors, and clearer operational insights, translating to higher platform reliability and predictable deployments.
July 2025: Delivered Terraform-driven deployment enhancements, reliability fixes, and observability improvements across the operator suite. Focused on expanding Terraform outputs, improving module flexibility for Prometheus, reducing Grafana datasource noise, and hardening alert rule processing and relation handling. Resulted in faster onboarding, clearer deployment signals, and more robust runtime behavior.
July 2025: Delivered Terraform-driven deployment enhancements, reliability fixes, and observability improvements across the operator suite. Focused on expanding Terraform outputs, improving module flexibility for Prometheus, reducing Grafana datasource noise, and hardening alert rule processing and relation handling. Resulted in faster onboarding, clearer deployment signals, and more robust runtime behavior.
June 2025 monthly summary focusing on key accomplishments across canonical Kubernetes operator work and observability stack. Delivered reliability enhancements, deployment clarity, and CI improvements with notable work on deduplication, Terraform variable hygiene, API consolidation, and centralized observability infrastructure. The work reduces misconfigurations, improves deployment reliability, and strengthens testing and documentation.
June 2025 monthly summary focusing on key accomplishments across canonical Kubernetes operator work and observability stack. Delivered reliability enhancements, deployment clarity, and CI improvements with notable work on deduplication, Terraform variable hygiene, API consolidation, and centralized observability infrastructure. The work reduces misconfigurations, improves deployment reliability, and strengthens testing and documentation.
May 2025 monthly summary focusing on delivering robust observability probes, release workflow modernization, and build reliability across the operator portfolios. Key architectural refactors enabled centralized constraint checks, new probes for Grafana dashboards, and TLS-related usability improvements, complemented by release automation and test stabilization that reduce operational risk and accelerate delivery.
May 2025 monthly summary focusing on delivering robust observability probes, release workflow modernization, and build reliability across the operator portfolios. Key architectural refactors enabled centralized constraint checks, new probes for Grafana dashboards, and TLS-related usability improvements, complemented by release automation and test stabilization that reduce operational risk and accelerate delivery.
April 2025 performance highlights for canonical observability and Grafana operators. Deliveries focused on expanding deployment flexibility for OpenTelemetry, streamlining charm-to-Terraform integration, and strengthening observability with better defaults, dashboards, and testing. Notable improvements include plugin extensibility strategy, automation for Terraform endpoints, default config enhancements, Grafana dashboard provisioning and TLS flexibility, and public API enhancements for dashboard reload, backed by CI and quality improvements. A bug fix streamlined Loki alerting by removing an opinionated rule and correcting Loki job references.
April 2025 performance highlights for canonical observability and Grafana operators. Deliveries focused on expanding deployment flexibility for OpenTelemetry, streamlining charm-to-Terraform integration, and strengthening observability with better defaults, dashboards, and testing. Notable improvements include plugin extensibility strategy, automation for Terraform endpoints, default config enhancements, Grafana dashboard provisioning and TLS flexibility, and public API enhancements for dashboard reload, backed by CI and quality improvements. A bug fix streamlined Loki alerting by removing an opinionated rule and correcting Loki job references.
March 2025 monthly summary focusing on key accomplishments across Loki and Grafana Kubernetes operators. Delivered API enhancements, Grafana integration improvements, and OpenTelemetry integration with Loki, strengthening automation, observability, and cross-tool collaboration. No major bug fixes reported this month; the emphasis was on feature delivery and integration work that unlocks business value.
March 2025 monthly summary focusing on key accomplishments across Loki and Grafana Kubernetes operators. Delivered API enhancements, Grafana integration improvements, and OpenTelemetry integration with Loki, strengthening automation, observability, and cross-tool collaboration. No major bug fixes reported this month; the emphasis was on feature delivery and integration work that unlocks business value.
February 2025 highlights: Implemented centralized HostHealth alert rule management across Grafana Agent Operator and Prometheus K8s Operator, and expanded metrics collection/forwarding in the OpenTelemetry Collector Operator. Enhanced test coverage to validate rule injection and rule handling, leading to more consistent health checks and observability across deployments. These changes reduce manual configuration, improve maintainability, and accelerate incident detection in Juju-managed environments.
February 2025 highlights: Implemented centralized HostHealth alert rule management across Grafana Agent Operator and Prometheus K8s Operator, and expanded metrics collection/forwarding in the OpenTelemetry Collector Operator. Enhanced test coverage to validate rule injection and rule handling, leading to more consistent health checks and observability across deployments. These changes reduce manual configuration, improve maintainability, and accelerate incident detection in Juju-managed environments.
January 2025 monthly summary focusing on delivering stability, quality, and observability enhancements across two Canonical repos. Key outcomes include stabilizing CI tests by pinning the Ubuntu runtime to 22.04, improving code quality checks, and introducing a Grafana Dashboard UID Validation Probe to verify correctness of related data.
January 2025 monthly summary focusing on delivering stability, quality, and observability enhancements across two Canonical repos. Key outcomes include stabilizing CI tests by pinning the Ubuntu runtime to 22.04, improving code quality checks, and introducing a Grafana Dashboard UID Validation Probe to verify correctness of related data.
In December 2024, we strengthened CI and build/test pipelines across canonical/observability, canonical/mimir-coordinator-k8s-operator, and canonical/grafana-agent-operator. The work focused on consolidating test workflows, migrating to faster/robust tooling, and introducing robust configuration options. These changes improve reliability, reduce toil, accelerate feedback, and support safer, faster iteration for customer-facing features.
In December 2024, we strengthened CI and build/test pipelines across canonical/observability, canonical/mimir-coordinator-k8s-operator, and canonical/grafana-agent-operator. The work focused on consolidating test workflows, migrating to faster/robust tooling, and introducing robust configuration options. These changes improve reliability, reduce toil, accelerate feedback, and support safer, faster iteration for customer-facing features.
Monthly summary for 2024-11: Focused on standardizing endpoint definitions across Terraform modules and improving CI/CD quality gates for Terraform code, while stabilizing test infrastructure and improving observability tooling. Delivered cross-repo endpoint standardization (renaming requires to endpoints and consolidating outputs), enhanced CI/CD checks for Terraform, and reliability improvements across operator and observability repos. Demonstrated business value through safer deployments, faster PR validation, and clearer endpoint configuration, with a strong emphasis on IaC consistency and automation.
Monthly summary for 2024-11: Focused on standardizing endpoint definitions across Terraform modules and improving CI/CD quality gates for Terraform code, while stabilizing test infrastructure and improving observability tooling. Delivered cross-repo endpoint standardization (renaming requires to endpoints and consolidating outputs), enhanced CI/CD checks for Terraform, and reliability improvements across operator and observability repos. Demonstrated business value through safer deployments, faster PR validation, and clearer endpoint configuration, with a strong emphasis on IaC consistency and automation.

Overview of all repositories you've contributed to across your timeline