Results for “data”

Build, deploy, and manage Redpanda Data Transforms, WebAssembly functions that run inside the broker to transform records from an input topic to one or more output topics. Use when writing or deploying a transform in Go (TinyGo), Rust, JavaScript, or TypeScript; using `rpk transform.

Plan and execute zero-downtime migrations for databases, services, and infrastructure with automated compatibility validation and rollback strategy generation.

Build streaming data pipelines with Redpanda Connect using declarative YAML configs, Bloblang mappings, and component discovery. Covers running, linting, and dry-running pipelines.

Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.

Manages a MariaDB database schema across its lifecycle using the MariaDB Schema Management plugin via the mariadb-shell MCP server, covering project creation, versioned development, releases, and deployment.

Generates Spring Boot 3.x configurations, REST controllers, Spring Security 6 authentication flows, Spring Data JPA repositories, and reactive WebFlux endpoints for building microservices and reactive Java applications.

Deploy web apps with backend APIs, database, and file storage to a public URL via HTTP API.

Guides reliable application deployment with CI/CD pipelines, zero-downtime strategies, rollback plans, and post-deploy monitoring.

Deploys web apps with backend APIs, database, and file storage to a public URL via the AppDeploy HTTP API.

Drive end-to-end Convex production migrations with explicit safety gates for destructive operations and cleanup.

Deploys web apps with backend APIs, databases, and file storage to a public URL via the AppDeploy HTTP API.

Audits Vercel projects for cost and performance optimization by collecting metrics, scanning code, and producing ranked recommendations grounded in data.

Automates Ansible AWX setup on Kubernetes and provides playbooks for deploying backends, running database migrations, and managing Kubernetes deployments.

Deploys the vss-video-analytics-api REST service standalone with config, data-log bind, and optional Elasticsearch/Kafka connectivity.

Installs and configures MariaDB Connector/C++ across Linux, Windows, and source builds, covering prerequisites, linking, and runtime plugin setup.

Runs AutoMagicCalib calibration on local MP4s, RTSP streams, or a bundled sample dataset, and deploys the AMC microservice when needed.

Audits local code for production readiness, identifying risks in security, data integrity, payments, operations, and UX before shipping.

Manages SurrealDB schemas as desired-state .surql files, with sync for disposable databases and reviewed rollouts for shared or production environments, plus seeding and declarative testing.

Deploys and manages Google Cloud Platform backends for Flutter apps, covering GKE clusters, Cloud Run services, Cloud SQL databases, Cloud Storage buckets, and Firebase integration.

Generates an operations runbook from deployment configs, CI/CD pipelines, and monitoring setup, with copy-pasteable procedures for deployment, rollback, scaling, database maintenance, incident response, and troubleshooting.

Enforces GDPR-compliant deployment practices for Google Cloud Run, including Frankfurt region verification, PII-safe logging, data anonymization, retention policies, and CSP configuration.

Build, test, inspect, install, and deploy MCP servers with FastMCP in Python, including wrapping APIs, databases, or files as tools and exposing resources or prompts.

Audits a codebase for production readiness using local evidence, scoring ship/block risk and listing concrete fixes without sending repo data to external services.

Deploy and operate the RTVI-CV-3D microservice for multi-camera 3D detection and tracking, supporting sample datasets, custom videos, and RTSP streams.

Deploys a MariaDB Schema Management (MSM) schema version onto a live server using msm.deploy_schema, creating a fresh schema or upgrading an existing one, with optional backup.

Classifies a repository into one of six archetypes and installs a curated bundle of agent skills covering build, test, review, deploy, and docs, with a user-visible manifest and a recorded stack file.

Operate a self-managed Redpanda broker process and node from the CLI using the `rpk redpanda` command family and `rpk iotune`: node lifecycle (start/stop), production vs. development mode, kernel autotuning, node configuration (redpanda.yaml), and per-node Admin API operations including broker.