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Yngrid Coello

PROFILE

Yngrid Coello

Yngrid Coello contributed to the viduni94/kibana repository by engineering robust data quality and observability features for Kibana, focusing on dataset quality monitoring, failure store integration, and telemetry accuracy. She implemented role-based access controls, enhanced UI components for inline error handling, and refactored backend logic to support scalable data stream metrics. Using TypeScript, React, and Elasticsearch, Yngrid improved test reliability through configuration management and end-to-end testing, while also addressing cross-platform data ingestion and telemetry bugs. Her work delivered deeper data governance, clearer quality signals, and more reliable dashboards, reflecting a thorough approach to both backend and frontend development challenges.

Overall Statistics

Feature vs Bugs

77%Features

Repository Contributions

37Total
Bugs
5
Commits
37
Features
17
Lines of code
11,960
Activity Months9

Work History

October 2025

1 Commits

Oct 1, 2025

October 2025 is focused on improving telemetry data quality for wired streams in the viduni94/kibana repository. Delivered a critical bug fix to correct telemetry reporting of dataset, namespace, and type when direct values are unavailable; the fix uses the index_name to retain the full dataset name and ensures empty values are not logged, preventing misleading telemetry data and dashboards. This work supports dataset quality initiatives and enhances reliability of breakdown charts for wired streams, leading to more accurate metrics for product teams and customers.

September 2025

6 Commits • 3 Features

Sep 1, 2025

September 2025 Monthly Summary — viduni94/kibana 1) Key features delivered - Enhanced sample_logs synthetic data with multi-platform streams and wired-stream compatibility cleanup: extends sample_logs to Android, Linux, and Windows streams; includes degraded and failed Android logs; removed the manual ingest pipeline and the attributes.user.id field for wired streams to improve compatibility. Relevant commits: 3e02d886bb3978780c5e008665a242e08647c7fb and 21fb5e751ae4906669766852fb8efd3531fd3842. - Cell-level actions in preview table for stream routing conditions: adds cell-level actions to create routing conditions (equals, not equals) directly from UI with visual cues and routing flow integration. Commit: a944d26276c8d6382feec861f43398a1c801aed1. - Retention panels UI styling polish: refactors retention panel styling in Streams app to remove redundant overrides and use layout components for consistent alignment of titles and actions in BaseMetricCard. Commit: 2ba786012246881c957b194886f7d6889e9a1253. 2) Major bugs fixed - Dataset quality navigation fix for Discover redirection: fixes navigation from dataset quality issues to Discover by using the raw data stream name directly for redirection, for wired and classic streams. Commit: d9199529124a8e8785d1444c4cde5d504b43b84f. - Kubernetes observability onboarding tests stability: removes reliance on panel IDs by localizing panels via CSS selectors; updates README with local test run instructions. Commit: bac4e68045a61393a8a176d57422547aae9c5198. 3) Overall impact and accomplishments - Improved data coverage and compatibility across platforms with streamlined ingestion plumbing, enabling broader testing scenarios and fewer maintenance tasks. - Increased reliability of onboarding tests and test instructions, reducing flaky runs and improving developer feedback cycles. - UI and UX improvements in routing and retention panels contributed to faster configuration, clearer visibility, and more consistent layouts across the Streams experience. 4) Technologies/skills demonstrated - Cross-platform data modeling and streaming (Android/Linux/Windows) plus data quality edge-case handling. - UI/UX engineering in data tooling: routing conditions, retention panels styling, and testability via CSS selectors. - Test reliability and maintainability: end-to-end test adjustments and documentation updates. - Code hygiene: removal of deprecated/inconsistent ingest paths and field suppression for wired streams.

August 2025

9 Commits • 3 Features

Aug 1, 2025

August 2025 (2025-08) highlights: Delivered and hardened dataset quality features to improve data reliability and observability in Kibana. Implemented failure store control via index templates with default-on behavior for logs, enhanced metrics and stats retrieval, fixed correctness bugs in dataset quality metrics, and started a decoupled architecture for data streams stats to simplify future maintenance and scalability.

July 2025

2 Commits • 2 Features

Jul 1, 2025

July 2025 monthly summary for viduni94/kibana: Delivered governance-focused enhancements and UX improvements. Implemented permission-based enforcement for dataset quality rule creation and introduced inline error visibility in the UI, aligning security with user roles and reducing support load. The changes include privilege configuration updates, functional tests, and UI refactors to improve error handling and consistency across data fetch flows.

June 2025

7 Commits • 2 Features

Jun 1, 2025

June 2025 in viduni94/kibana focused on hardening dataset quality governance and reliability. Key features shipped include Dataset Quality Feature Enhancements with a degradedDocs rule, new schema, chart-preview API endpoints, and UI alert components with role-based access controls and an integrated guidance link in failure warnings. We also advanced Dataset Quality Testing Coverage, unskipping and stabilizing tests for quality checks and the stats API, and cleaning up test noise while disabling incompatible tests to reduce false negatives. These efforts deliver clearer data quality signals, faster triage via previews, stronger security posture, and a more stable CI pipeline, contributing to higher data trust and faster time-to-value for users and analysts.

May 2025

2 Commits • 1 Features

May 1, 2025

May 2025 monthly summary for viduni94/kibana: Focused on strengthening data privacy controls in Dataset Quality Monitoring and stabilizing the deployment test environment. Delivered a secure and observable Failure Store feature, and resolved test flakiness in deployment-agnostic scenarios, enabling more reliable releases and better governance of quality data.

March 2025

1 Commits • 1 Features

Mar 1, 2025

In March 2025, delivered a major enhancement to log viewing in Kibana, focusing on faster, more reliable log exploration and standardized data access. Implemented kuery-based filtering in the ViewLogsButton and switched defaults to the All Logs data view via ALL_LOGS_DATA_VIEW_ID, simplifying the troubleshooting workflow. No major bugs were recorded this month; the focus was on feature delivery and improving observability.

February 2025

5 Commits • 3 Features

Feb 1, 2025

February 2025 monthly summary for KDKHD/kibana focusing on reliability, data quality, and user experience. Implemented teardown support for the Synthtrace Scenario Runner to ensure clean teardown after scenario execution and prevent cross-scenario side effects; delivered dataset quality improvements including UI error readability enhancements, fixes for stuck loading, non-aggregatable data stream handling, and state machine refactor; standardized data filtering to rely on _index; renamed Observability Logs Explorer tab to Discover for terminology alignment. These changes improve test reliability, data integrity, and user experience, enabling more stable dashboards and reduced bootstrap leftovers.

January 2025

4 Commits • 2 Features

Jan 1, 2025

January 2025 (2025-01): Delivered two cross-cutting enhancements for Kibana's Dataset Quality. (1) Failure Store integration across UI and details pages with new columns, ingestion failure metrics, charts, enhanced error flyout, and centralized enable/disable control. (2) Security/Authorization overhaul for Dataset Quality routes and APIs, migrating to Elasticsearch permissions and replacing deprecated access tags with security.authz.requiredPrivileges. These changes improve data quality visibility, access control, and maintenance.

Activity

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Quality Metrics

Correctness87.6%
Maintainability87.0%
Architecture85.4%
Performance78.2%
AI Usage20.6%

Skills & Technologies

Programming Languages

GoJavaJavaScriptMarkdownPythonShellTypeScript

Technical Skills

API DesignAPI DevelopmentAPI IntegrationAPI SecurityAPI TestingAlerting SystemsAuthorizationBackend DevelopmentCSS SelectorsCode CleanupConfiguration ManagementData EngineeringData ManagementData ModelingData Quality Monitoring

Repositories Contributed To

2 repos

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

viduni94/kibana

May 2025 Oct 2025
6 Months active

Languages Used

JavaJavaScriptTypeScriptGoPythonShellMarkdown

Technical Skills

API DevelopmentBackend DevelopmentConfiguration ManagementElasticsearchFrontend DevelopmentFull Stack Development

KDKHD/kibana

Jan 2025 Mar 2025
3 Months active

Languages Used

JavaScriptTypeScript

Technical Skills

API DevelopmentAPI IntegrationAPI SecurityAuthorizationBackend DevelopmentData Modeling

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