Results for “sca”

Manage AWS EC2 virtual machines — instances, security groups, key pairs, AMIs, EBS volumes, Auto Scaling Groups, Spot Instances, Session Manager, placement groups, and instance lifecycle automation.

Hardens serverless compute platforms (AWS Lambda, Azure Functions, Google Cloud Functions) by enforcing least privilege IAM roles, eliminating hardcoded secrets, scanning dependencies for vulnerabilities, validating input, securing function URLs, and enabling runtime monitoring.

Search, manage, and scaffold skills in the Gemini Enterprise Agent Platform Skill Registry.

Routes to specialized GKE sub-skills for cluster management, networking, security, scaling, and more on Google Kubernetes Engine.

Deploy and scale Python AI/ML workloads on Modal's serverless cloud, including GPU compute, web endpoints, scheduled jobs, and persistent storage.

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

Build, deploy, and modify GitHub Copilot SDK apps on Azure with scaffolding, model configuration, and deployment orchestration.

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

Run Playwright tests at scale using Azure Playwright Workspaces with cloud-hosted browsers and integrated Azure portal reporting.

Run ML workloads on Modal's serverless GPU cloud platform with auto-scaling, pay-per-second pricing, and Python-native infrastructure.

Routes Azure VM and Virtual Machine Scale Set (VMSS) requests to the right workflow for recommendation, creation, troubleshooting, capacity reservation, and essential machine management.

Run large-scale parallel and HPC batch jobs on Azure using the Batch SDK for Java, managing pools, jobs, tasks, and compute nodes.

Manage Microsoft Fabric capacities via Azure Resource Manager: provision, scale, suspend, resume, check name availability, and list SKUs using the .NET SDK.

Manage Redpanda authentication and authorization from the CLI using the `rpk security` command group, covering SASL/SCRAM users, Kafka ACLs, RBAC roles, and Cloud secrets.

Build, configure, scaffold, and deploy OCI Functions from a local machine using a dependency-first, Fn-context-guided flow with structured confirmations.

Structured guidance for cloud architecture covering accounts, networking, and well-architected trade-offs, with a four-stage workflow from context clarification to operational follow-through.

Validate enterprise workloads against Google Cloud best practices using public client libraries and the REST API to manage evaluations, rules, scanned resources, and validation results.

Manages Neon serverless Postgres databases via the neonctl CLI and Neon API, covering projects, branches, databases, roles, endpoints, and compute scaling with a discovery-first workflow.

Provides guidance on enabling and optimizing GKE Cluster Autoscaler, including Node Auto Provisioning, troubleshooting scale-up/down issues, and best practices for capacity management.

Run ML workloads on Modal's serverless GPU cloud: deploy models as auto-scaling APIs, run batch jobs, and schedule tasks with pay-per-second GPU pricing.

Scaffolds an isolated cloud development box per agent using Crabbox and Daytona, with its own database, dev server, and in-box browser for parallel testing without port or state collisions.

Assess and improve the reliability posture of Azure Functions and App Service applications by scanning for zone redundancy, ZRS storage, health probes, and multi-region failover, then driving staged remediation with user confirmation.