
Jose Manuel Almaza contributed to the DataDog/datadog-agent repository by engineering robust system monitoring features and improving test reliability across platforms. He developed per-core CPU and disk metrics collection, aligning Go-based checks with existing Python implementations to ensure cross-language consistency and dashboard continuity. His work involved refactoring disk monitoring logic for maintainability, enhancing configuration management, and introducing dependency injection to stabilize tests. Using Go, Python, and Git, Jose addressed concurrency issues, refined error handling, and automated test suites to reduce flakiness. These efforts resulted in more deterministic CI pipelines, reliable metric reporting, and maintainable code, demonstrating depth in backend and systems engineering.

December 2025 monthly summary for DataDog/datadog-agent. Delivered robust disk metric collection by hardening the Go disk check and aligning it with Python behavior, plus a targeted refactor of the diskv2 check with expanded test coverage. These changes preserve dashboards, reduce false negatives, and improve cross-language consistency for Python-Go migrations.
December 2025 monthly summary for DataDog/datadog-agent. Delivered robust disk metric collection by hardening the Go disk check and aligning it with Python behavior, plus a targeted refactor of the diskv2 check with expanded test coverage. These changes preserve dashboards, reduce false negatives, and improve cross-language consistency for Python-Go migrations.
Monthly summary for July 2025 (2025-07) focusing on the DataDog/datadog-agent repository. The work delivered centers on stabilizing Windows end-to-end (E2E) tests by refining metric comparisons used in disk checks, reducing flaky failures and improving overall test reliability.
Monthly summary for July 2025 (2025-07) focusing on the DataDog/datadog-agent repository. The work delivered centers on stabilizing Windows end-to-end (E2E) tests by refining metric comparisons used in disk checks, reducing flaky failures and improving overall test reliability.
June 2025 monthly summary for DataDog/datadog-agent focusing on disk metrics accuracy, Windows test stability, and robust device-number parsing.
June 2025 monthly summary for DataDog/datadog-agent focusing on disk metrics accuracy, Windows test stability, and robust device-number parsing.
Summary for 2025-05: Delivered stability and configurability enhancements to the disk test suite in DataDog/datadog-agent. Key improvements include removal of flaky marks, refactoring of TestCheckDisk runtimes, and a race condition fix, plus metrics configurability and dependency injection for disk operations. Result: more deterministic tests, more reliable CI, and faster feedback for releases.
Summary for 2025-05: Delivered stability and configurability enhancements to the disk test suite in DataDog/datadog-agent. Key improvements include removal of flaky marks, refactoring of TestCheckDisk runtimes, and a race condition fix, plus metrics configurability and dependency injection for disk operations. Result: more deterministic tests, more reliable CI, and faster feedback for releases.
April 2025 - DataDog/datadog-agent: Delivered Go-based Disk Check (Diskv2) parity with the Python disk check, enablement via the with_diskv2_check configuration option, expanding platform coverage and potential performance. Also improved disk test suite reliability by fixing a race condition in the Go disk check test and marking the Windows disk test as flaky to stabilize CI. These changes enhance cross-language consistency, robustness of disk monitoring, and faster feedback in CI pipelines.
April 2025 - DataDog/datadog-agent: Delivered Go-based Disk Check (Diskv2) parity with the Python disk check, enablement via the with_diskv2_check configuration option, expanding platform coverage and potential performance. Also improved disk test suite reliability by fixing a race condition in the Go disk check test and marking the Windows disk test as flaky to stabilize CI. These changes enhance cross-language consistency, robustness of disk monitoring, and faster feedback in CI pipelines.
March 2025 monthly summary for DataDog/datadog-agent: Delivered deterministic file-path handling improvements and streamlined the copyright linting process to reduce false positives and CI flakiness. Implemented a repo-root prepend in the git utility for staged paths and simplified the copyright linter by removing redundant exclusion logic and using direct glob patterns. Key change includes the commit that enforces path exclusions: Exclude files by path always (#35538). Technologies demonstrated include Go, Git tooling, glob patterns, and linting/CI enhancements, translating to clearer maintenance and accelerated CI feedback.
March 2025 monthly summary for DataDog/datadog-agent: Delivered deterministic file-path handling improvements and streamlined the copyright linting process to reduce false positives and CI flakiness. Implemented a repo-root prepend in the git utility for staged paths and simplified the copyright linter by removing redundant exclusion logic and using direct glob patterns. Key change includes the commit that enforces path exclusions: Exclude files by path always (#35538). Technologies demonstrated include Go, Git tooling, glob patterns, and linting/CI enhancements, translating to clearer maintenance and accelerated CI feedback.
February 2025 monthly summary for DataDog/datadog-agent: Focused on improving test reliability and labeling accuracy in the PersistingIntegrations test suite. Resolved an incident by removing the erroneous 'flakey' mark to prevent mislabeling and ensure only genuinely flaky tests are flagged. This change reduces CI noise and enhances overall test reporting accuracy. Implemented via commit 143cb6663be52c25a8ea1f109b56993d2a8f9c16 with message 'Remove flakey mark from PersistingIntegrations suite as the incident was solved (#33990)'.
February 2025 monthly summary for DataDog/datadog-agent: Focused on improving test reliability and labeling accuracy in the PersistingIntegrations test suite. Resolved an incident by removing the erroneous 'flakey' mark to prevent mislabeling and ensure only genuinely flaky tests are flagged. This change reduces CI noise and enhances overall test reporting accuracy. Implemented via commit 143cb6663be52c25a8ea1f109b56993d2a8f9c16 with message 'Remove flakey mark from PersistingIntegrations suite as the incident was solved (#33990)'.
Summary for 2025-01: Delivered the Cloud Foundry Integrations Ownership Reassignment and fixed a packaging bug for RPM-based persistent integrations. Key achievements include removing Platform Integrations from codeowners, restructuring ownership under the agent-integrations team, and improving packaging scripts and versioning logic. Impact: increased reliability of upgrades/removals, clearer ownership and faster onboarding for new contributors, and stronger packaging automation. Demonstrated skills include Python scripting, packaging tooling, code ownership governance, and cross-team collaboration.
Summary for 2025-01: Delivered the Cloud Foundry Integrations Ownership Reassignment and fixed a packaging bug for RPM-based persistent integrations. Key achievements include removing Platform Integrations from codeowners, restructuring ownership under the agent-integrations team, and improving packaging scripts and versioning logic. Impact: increased reliability of upgrades/removals, clearer ownership and faster onboarding for new contributors, and stronger packaging automation. Demonstrated skills include Python scripting, packaging tooling, code ownership governance, and cross-team collaboration.
December 2024 — DataDog/datadog-agent: Delivered Per-Core CPU Usage Metrics and Enhanced Reporting. Implemented per-core system.cpu.*.total metrics and enhanced CPU checks with per-core totals and improved context-switch handling. Added configurability to enable/disable per-core reporting to control overhead. The work is captured in commit bc6a04733d16a63f351470b0e6a882519d836907 (part of #32330), delivering deeper CPU observability for faster diagnosis of hotspots and better capacity planning. No major bugs fixed this month; focus was on feature delivery and code quality.
December 2024 — DataDog/datadog-agent: Delivered Per-Core CPU Usage Metrics and Enhanced Reporting. Implemented per-core system.cpu.*.total metrics and enhanced CPU checks with per-core totals and improved context-switch handling. Added configurability to enable/disable per-core reporting to control overhead. The work is captured in commit bc6a04733d16a63f351470b0e6a882519d836907 (part of #32330), delivering deeper CPU observability for faster diagnosis of hotspots and better capacity planning. No major bugs fixed this month; focus was on feature delivery and code quality.
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