April 2026 CNQuery focused on expanding Hetzner Cloud platform detection to improve asset inventory accuracy and policy enforcement. Key changes integrated Hetzner detection into the clouddetect and OS cloud resource resolver, enabling automatic identification of Hetzner-based instances. Key accomplishments span feature delivery, reliability hardening, and team collaboration. The Hetzner platform detection was implemented using DMI sys_vendor checks for “Hetzner” and metadata resolution at 169.254.169.254/hetzner/v1/metadata, with curl exit-status handling to avoid YAML parse errors when the metadata service is unavailable. Tests were added to cover positive/negative DMI-based detection, identity resolution, and raw metadata parsing with real Hetzner data. The release wiring was validated as part of os-13.6.0, ensuring the feature ships in the OS provider surface. Major bug fixes included ensuring Hetzner public IPv4 is captured in cloud.instance, addressing an empty publicIpv4 field after metadata fetch. This improves accuracy of public networking data for Hetzner assets and downstream security/compliance checks. Technologies/skills demonstrated include Go-based provider development, DMI parsing logic, HTTP metadata handling, robust test coverage with mock data, and cross-repo collaboration (co-authored commits). Overall impact: increased asset coverage, reduced debugging toil for Hetzner deployments, and stronger data integrity for cloud-platform related policies.

March 2026 CNQuery monthly summary for mondoohq/cnquery. Delivered major cross-provider resource enhancements, platform support, and reliability improvements that increase data visibility, security posture, and developer productivity. Notable work includes LEDE platform detection, a ShieldedInstanceConfig sub-resource for GCP, Azure security field expansions, and expanded AWS Route 53 and EC2 data exposure. Performance and UX improvements were realized via lazy-loading of expensive describe calls and safer error handling for image manifest types, along with ID/name consistency fixes across resources.

February 2026 performance highlights: major refactor and expansion of the GitLab provider into modular resources, enabling finer-grained control and improved maintainability. Delivered new GitLab resources (gitlab.user, gitlab.project.mergeRequest, gitlab.project.issue, gitlab.project.release, gitlab.project.variable) and wired milestone support on issues/merge requests; consolidated member resources under gitlab.member and extended user/group fields. Also introduced GitLab CI/CD resources to surface pipelines and runners for richer CI/CD visibility. The provider versioning bot released coordinated bumps across multiple ecosystems (GitHub, GitLab, AWS, Ansible, OS) to keep provider versions aligned with new capabilities. Added Ansible gatherFacts to surface execution metadata and started broad Azure resource enhancements using new SDKs (79 new fields across 17 resources).

January 2026 CNQuery monthly summary: Delivered broader OS recognition, expanded provider coverage, and introduced new resources, delivering tangible business value in asset visibility, risk posture, and automation. The month focused on expanding OS/distro detection, enabling richer data collection, and accelerating provider refresh cycles with bot-driven releases, while maintaining high code quality and documentation standards.

December 2025: Key inventory and tooling enhancements across cnquery and cookstyle. Key features delivered include Huawei Cloud EulerOS detection to broaden OS recognition, macOS inventory switched to the macos.hardware data source for more accurate hardware data, and improved aarch CPU detection with a command-based model-name retrieval and string-typed CPU data output. Major provider updates bumped core OS, GitHub, and AWS providers to the latest releases, improving stability and access to fixes. In chef/cookstyle, RuboCop upgrade to 1.81.7, reducing lint issues and tightening code quality. Business impact: more accurate asset discovery, better hardware data quality, clearer CPU data, reduced maintenance risk, and stronger compliance signals.

CNQuery monthly summary for 2025-11: Expanded cross-distro asset discovery and BSD support, implemented BSD kernel resource improvements, broadened service detection across multiple Linux distributions, updated OS/version data via provider bot, and fixed critical parsing and data issues to improve inventory accuracy and reliability. These changes enhance coverage for BSD, Debian-like systems, and open-source provider ecosystems, delivering business value through improved risk assessment, compliance readiness, and reduced manual remediation.

October 2025 performance snapshot: Delivered substantial documentation modernization with expanded resource coverage, improved branding consistency, and expanded docs for cloud and network resources. Strengthened Linux platform detection, network interfaces data paths, and cloud-provider integrations. Enhanced release engineering and maintenance with dependency upgrades and Go tooling updates. Result: higher documentation accuracy, faster onboarding for developers, and more reliable, scalable platform support for customers.

September 2025 highlights: Delivered cross-repo documentation and tooling enhancements, aligned with Mondoo v12.0, and advanced code quality across three repos. Key outcomes include new network discovery resource packs documentation (Network Discovery, Network Devices, AI pack), Mondoo v12.0 release notes with cloud resource discovery improvements, extensive MQL docs and tooling modernization (including Docusaurus 3.9 upgrade and image optimization), inventory and API compatibility improvements across Kubernetes, Microsoft Graph, AWS, Windows/macOS, and targeted RuboCop and Cookstyle upgrades for code quality.

Month: 2025-08 — Consolidated delivery across three repositories with a strong emphasis on business value, reliability, and maintainability. Highlights include extensive documentation improvements and release visibility, safety enhancements for cloud resources, and tooling/code quality improvements that reduce risk and accelerate future work.

July 2025: Strengthened documentation quality, spellchecking coverage, dependency stability, and code quality across three repositories. Delivered feature improvements and tooling updates that drive faster release readiness and reduced review cycles. Key items: (1) Mondoohq/docs — Documentation improvements for MQL resources and June 2025 release notes with consolidated docs, spell-check enhancements, new release highlights, and image optimizations. (2) Mondoohq/docs — Dependency maintenance and spelling configuration to disable noisy patterns and ensure latest packages for project stability. (3) Mondoohq/cnquery — Spellcheck dictionary expansion by syncing terms from the docs repo, adding technical terms, product names, and platform keywords. (4) Chef/cookstyle — RuboCop upgrade from 1.77.0 to 1.79.1 to improve linting checks and stability. Major bugs fixed: none reported this month; emphasis on stability and quality through tooling and dependency updates. Overall impact: clearer, more accurate docs; broader spellchecking coverage; more stable build and run environments; stronger code quality checks enabling faster, more reliable releases. Technologies/skills demonstrated: documentation tooling, spellcheck tooling and configuration, dependency management, linting upgrades, cross-repo collaboration.

June 2025 performance summary focusing on progressive documentation, provider enhancements, and tooling upgrades across multiple repos. Delivered substantial improvements in docs quality and accessibility, strengthened spellchecking and data enrichment, and tightened maintainability with tooling upgrades.

May 2025: Delivered extensive documentation and quality improvements across Mondoo projects, strengthening user guidance, security tooling alignment, and developer velocity. Key outcomes include expanded resource documentation (Azure, Kubernetes, vulnerability.exchange, AWS CodeDeploy), policy updates for exceptions, CI and code-quality enhancements, asset discovery improvements, and overall documentation/tooling hygiene. These efforts reduce support load, improve accuracy of references, and increase reliability of automated processes.

April 2025 performance summary: Delivered a comprehensive documentation refresh for mondoohq/docs covering OS networking resources, cloud resource definitions, MQL resources, and initial setup flow, including March 2025 release notes; upgraded runtime to Node.js 22 to align with supported release; standardized UI and naming across providers in CNQuery (platform values capitalization, createdDateTime -> createdAt, removal of outdated displayName usage); executed extensive deprecation cleanup across AWS, Kubernetes, Azure, Microsoft 365, vSphere, and OS providers to simplify maintenance and reduce API surface; improved code quality and tooling through RuboCop upgrades and Cookstyle dependency cleanups. Business impact includes faster onboarding, reduced support friction, lower technical debt, improved runtime security and compatibility, and higher CI hygiene.

March 2025 monthly highlights focused on delivering measurable business value through expanded documentation, improved reliability, and enhanced data capabilities across two core repos. Key work covered extensive MQL documentation and resource packs, stabilization of release artifacts, deployment tooling improvements, richer AWS resource data fields, and a streamlined dependency-management policy. These efforts reduce time-to-onboard for new developers, improve release confidence, and enable more accurate resource analysis.

February 2025 monthly performance highlights across mondoohq/docs and mondoohq/cnquery. Delivered measurable business value through improved quality, faster delivery, and clearer release communications. Key features and enhancements spanned documentation quality, spellcheck QA patterns, release notes/branding, resource documentation, UI performance optimizations, and build tooling upgrades. Also advanced cloud/resource integrations and provider configuration cleanup to reduce maintenance overhead and improve consistency across providers.

January 2025 highlights: Released Mondoo v11.36–11.39 across mondoohq/docs and cnquery, delivering dynamic workspaces, risk prioritization, and enhanced asset management; introduced workspace creation from metadata, improved asset overview, and refined search; added cases in workspaces and risk insights to accelerate remediation. Standardized data models with AWS createdAt and enriched Kubernetes Node data for richer cnquery queries. Expanded documentation and developer experience with a Docusaurus v3.7 upgrade, new Networking/Applications sections, Terraform plan resource docs, and social profile updates. Also improved HTTP redirect handling, updated CIS benchmarks, and broad resource/policy updates to strengthen governance and reliability.

December 2024 performance highlights across chef/cookstyle, mondoohq CNQuery, docs, and provider/utility repos. Delivered feature work and stability improvements with a focus on business value: linting accuracy, provider coverage, documentation quality, and cross-repo standardization. Key technical achievements include RuboCop configuration modernization for Cookstyle, Cloudflare provider integration and docs generation in CNQuery, UX/data presentation enhancements for GitHub assets, expanded Mondoo docs/resource updates (12.33) and Nmap coverage, spellcheck pattern enhancements for Terraform provider, and naming/format standardization (AWS createdAt) with dependency upgrades and VMware URL fix. Demonstrated strengths in Ruby, Terraform, API integration, CI reliability, and documentation craftsmanship, delivering measurable business value through safer linting, broader platform support, and clearer user guidance.

November 2024 delivered strong business value through comprehensive release documentation, infrastructure improvements, and data quality enhancements across two critical repositories. The team published detailed Mondoo release notes for versions 11.29–11.32, modernized the docs site, expanded GitLab integration data, and tightened text quality checks, resulting in clearer communication, faster compliance workflows, and more reliable developer experience.

October 2024 monthly summary focusing on deliverables and impact across Mondoo docs (mondoohq/docs). Focused on user-facing release enhancements, improved documentation clarity, and automation of release notes to streamline workflows. Highlights include expanded policy management, external integrations, policy scoring, platform coverage updates, and an automation command to generate release notes, all contributing to faster delivery, clearer guidance, and reduced support load.