April 2026 — Focused on performance and reliability improvements across firewall parsing, cloud IAM governance, and cross-cloud asset tagging. In cnquery, delivered memory- and latency-related improvements to firewall rule parsing, reducing OOM risk and improving scalability for large rule sets. GCP IAM manifests were corrected for 21 permissions and validated with a new script and tests, increasing accuracy and reducing misconfig risk. AWS tagging enhancements propagate account-level tags to discovered assets with a robust override path, improving governance and consistency. These changes collectively lower risk, boost scalability for large inventories, and demonstrate strong cross-cloud engineering discipline.

March 2026 CNQuery monthly summary focused on resilience, observability, and automation across cloud provider integrations (AWS and Azure). Key work included widespread stability fixes, expanded Azure resource discovery, enhanced error reporting, and build-time automation to improve governance.

February 2026 performance summary: Increased observability and reliability by delivering two targeted error-reporting improvements across CNQuery and CNSpec. Established a unified telemetry pattern that feeds error data into the Mondoo platform for analysis, enabling faster triage and proactive remediation. CNQuery introduced a generic error reporting function to capture and forward error details for centralized analysis; CNSpec added robust storage-failure error reporting to log and track results storage issues in the collector Sink, improving reliability and operational visibility. These changes reduce mean time to detection and support-ready data for issue resolution, demonstrating strong instrumentation, cross-repo collaboration, and platform telemetry capabilities.

January 2026 monthly summary focused on reliability improvements in the mondoohq/cnquery repository. No new features released this month. A critical bug fix was implemented in the data processing path to ensure ToDataRes returns an empty DataRes when TValue is unset, preventing incorrect data propagation and stabilizing downstream data processing. This change strengthens data integrity, reduces downstream errors, and supports more robust data pipelines across dependent services.

October 2025 (2025-10) monthly summary for mondoohq/cnquery: Delivered critical multi-provider patches across Azure, OS, and AWS providers, improving compatibility, stability, and security for cloud integrations. Implemented and released Azure 11.3.85, OS 11.4.44–11.4.46, and AWS 11.5.78, with traceable commits and automated release tagging via the provider versioning bot (releases created under providers-sdk/v1/util/version). This work reduces risk from outdated provider versions and enhances cross-provider reliability for customers.

In September 2025, focused on CI/CD reliability improvements in mondoohq/cnspec by migrating the linter configuration to golangci.yaml and aligning the Go CI workflow with the new YAML format, bringing the CI setup in sync with current linting standards and reducing potential pipeline failures.

August 2025 monthly performance summary for mondoohq/cnquery. Delivered cross-cloud discovery enhancements and an OS provider version bump, driving broader resource coverage, reliability, and release-readiness. Key outcomes include: GCP discovery: added 'all' resources with refactored logic and tests; AWS discovery: simplified target handling by removing fine-grained assets flag and global variable; OS provider bumped to 11.4.36. These changes improve discovery coverage, reduce configuration debt, and streamline maintenance across the cnquery repository.

July 2025: Delivered a traceability enhancement to the Kubernetes Manifest Provider by labeling assets discovered via Git. This enables quick reference to source repositories and improves auditability. A single commit (3ad843a791e85e043ab302f32dd6ade5ee1e3c53) implements the change by labeling assets and storing the repo HTTP URL in the asset connection options, along with a trimmed URL label.

June 2025 performance summary for the mondoohq/cnquery repository: delivered key Azure-related enhancements, stability improvements in discovery workflows, and plugin/provider maintenance to ensure compatibility with Azure services. The work focused on increasing metadata quality, reducing runtime risk, and preserving operational efficiency in production pipelines.

May 2025: Focused on documentation improvements and dependency maintenance for mondoohq/cnquery. Key outcomes include clarifying the AWS Config Provider filters and adding a practical example for filtering by instance IDs, plus keeping AWS provider dependencies current by upgrading to 11.5.47. These changes enhance usability, reduce configuration errors, and support smoother CI/CD with up-to-date tooling.

April 2025 CNQuery monthly summary: Release-focused automation and build stabilization completed for mondoohq/cnquery. Key features delivered: OS Provider Version Bump Releases automate provider version bumps for the OS provider across releases (11.3.43, 11.3.46, 11.3.47) with no functional code changes, ensuring consistent packaging and faster release readiness. Major bugs fixed: SQLite dependency downgraded to unblock builds by moving to known-good versions (modernc.org/sqlite v1.36.2, then v1.35.0) with corresponding go.sum updates, stabilizing CI. Overall impact and accomplishments: improved release velocity and CI stability; no new functionality required for the feature bump, while the build hardening prevents recurring failures and reduces maintenance overhead. Technologies/skills demonstrated: release automation, Go module dependency management, checksum validation, and disciplined release hygiene (clear commit history and tagging).

February 2025 CNQuery monthly summary: Implemented robustness improvements for service account handling across GKE and Cloud Run, including enhanced error handling for missing accounts in GKE nodepool configs and corrected Cloud Run IAM service account creation templates to ensure reliable resource creation. These changes improve deployment reliability and IAM risk management.

In January 2025, delivered Slow Query Monitoring and Health Report for the mondoohq/cnspec repository, establishing proactive visibility into long-running queries and enabling automated health reporting. The feature thresholds at 5 minutes, updates to the cnquery dependency, and new logic to trigger health reports improve observability and performance management of query executions. No major bug fixes are documented for this work in the period; focus was on delivering a business-valued feature with measurable technical milestones.

December 2024 (mondoohq/cnquery) concentrated on enabling complete data retrieval for Microsoft 365 applications via Graph API pagination. Delivered robust pagination handling across pages by adjusting the top parameter and introducing an iteration function to reliably fetch all applications. Included code cleanup and reliability hardening of the fetch path to reduce paging-related data gaps. This work improves data completeness for downstream analytics, licensing, and governance workflows, and demonstrates solid API pagination, Graph API integration, and maintainable code practices.

November 2024 cnquery monthly summary (mondoohq/cnquery): Focused on maintaining up-to-date provider dependencies across cloud platforms to ensure security, compatibility, and reliability for downstream users. Delivered routine provider version bumps with clear audit trails while keeping the baseline stable for future feature work. No major bugs fixed this month; emphasis was on upgrade readiness, traceability, and maintainable release hygiene.

2024-10 monthly summary for mondoohq/cnquery with a focus on stability and risk reduction in cloud resource handling. Implemented a robust nil handling path for EKS Node Group DiskSize to prevent panics, resulting in more reliable infrastructure configuration and fewer production incidents. No new user-facing features delivered this month; core changes center on defensive programming and error handling in AWS EKS resource management, contributing to higher system resilience and maintainability.