Results for “cloud”

Manage datasets, tables, and jobs in BigQuery. Run SQL queries, manage BigQuery resources, and perform basic data ingestion and analysis.

Manages GenAI tuning jobs in Agent Platform by listing, inspecting, or canceling ongoing model tuning jobs.

List, find, and show Azure resources across subscriptions or resource groups using Azure Resource Graph queries.

Upload, download, list, and manage blobs and containers in Azure Blob Storage using the @azure/storage-blob SDK.

Deploy, inspect, log-tail, snapshot, and troubleshoot AEM Rapid Development Environments using the Adobe I/O CLI plugin.

Executes Azure CLI commands with parallel background jobs for fast metric collection, using tsv output and read-only operations.

Manages and analyzes Novu notification infrastructure, covering workflows, subscribers, messages, integrations, and delivery analytics via the Novu API.

Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.

Configures GKE autoscaling with HPA, VPA, and Node Auto-Provisioning using golden path defaults for cost optimization.

Check and manage Azure quotas and service limits across resource providers and regions for deployment planning and capacity validation.

Store, retrieve, and manage secrets like passwords, API keys, and connection strings using Azure Key Vault with the Java SDK.

Apply GDPR-compliant engineering practices across your codebase, covering API design, data models, authentication, logging, retention, and cloud infrastructure.

Discovers, validates, or creates a SageMaker execution role before deploying or training, preventing IAM-related deployment failures.

Analyzes AWS Athena queries and workgroups, including cost-per-query tracking, performance optimization, and Data Catalog integration.

Manage and monitor Flux CD GitOps reconciliation, sources, and Kustomizations on Kubernetes, including Helm releases, image automation, and drift detection.

Analyze NATS clusters with read-only operations: discover JetStream streams and consumers, check cluster health, and inspect message flow.

Inspect and manage Envoy proxy configuration, cluster health, route tables, and performance stats via the admin API.

Domine SQL moderno com bancos de dados cloud-native, otimização OLTP/OLAP e técnicas avançadas de query. Especialista em tuning de performance, modelagem de dados e sistemas analíticos híbridos.

Expert knowledge for Azure Security development including best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when securing AKS images, CMK/Key Vault encryption, Notation signing, SBOM workflows, or Customer Lockbox, and other Azure Security related development tasks. Not for Azure Defender For Cloud (use azure-defender-for-cloud), Azure Firewall (use azure-firewall), Azure DDos Protection (use azure-ddos-protection), Azure Web Application Firewall (use azure-web-application-firewall).

Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I

Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I

Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I

Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I

Drives the Rowan cloud quantum-chemistry platform via its Python API for computational chemistry — pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2), with cloud compute and no local setup. Use when running DFT or semiempirical methods, neural network potentials (AIMNet2), molecular property or protein-ligand binding predictions, or automated computational chemistry pipelines. Part of the AlterLab Academic Skills suite.

Deploy and manage Docker containers on AWS ECS with Fargate or EC2, including task definitions, services, auto scaling, and troubleshooting.

Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery, for dataframe and ML workflows.

Set up and initialize AWS CDK applications in Python, including prerequisites, project creation, dependency management, and deployment.

Build and deploy bioinformatics workflows as serverless pipelines on the Latch platform using Python decorators, cloud data management, and GPU support.

Analyzes AWS EKS clusters, nodegroups, addons, IRSA configuration, and control plane logging using parallel AWS CLI queries with anti-hallucination guardrails.

Manages and analyzes Azure Kubernetes Service clusters via Azure CLI, covering node pools, addons, upgrades, and health diagnostics.

Queries AWS pricing for EC2, RDS, S3, Lambda, and other services via a helper script, returning on-demand, reserved, and spot rates.

Manage Tyk API gateway infrastructure by inspecting API definitions, policies, keys, and analytics through the Gateway and Dashboard APIs.

Inspects gRPC services via reflection, health checks, channelz, and grpcurl to discover methods, monitor health, and analyze load balancing.

Queries and analyzes PRTG Network Monitor data via its HTTP API, covering sensor status, device trees, alerts, and bandwidth metrics.

Manages BIND9 DNS servers by discovering zones, validating configuration, checking DNSSEC status, and reporting query patterns and statistics.

Manages CDK for Terraform projects: synthesizes HCL, deploys stacks, inspects outputs, and analyzes diffs across TypeScript, Python, Go, Java, or C#.