Results for “dep”

Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application Insights using the deprecated exporter or the recommended autoconfigure package.

Deploy the behavior-analytics service standalone with a chosen entrypoint, config source, and optional calibration, without the full warehouse stack.

Improve cache efficiency, latency, and throughput for AMS deployments using the Adobe Dispatcher Apache HTTP Server module and related HTTPD configuration.

Reviews AWS infrastructure as code and deployed resources against the Well-Architected Framework, generating findings and GitHub issues for remediation.

Generates a complete Kotlin MCP server project with Gradle structure, dependencies, and implementation using the official kotlin-sdk library.

Assesses and automates upgrades of Azure workloads between plans, tiers, or SKUs, and modernizes Azure SDK for Java dependencies in source code.

Routes NVIDIA Nemotron Speech (Riva) NIM tasks for ASR, TTS, and NMT, covering cloud-hosted inference, self-hosted Docker deployment, and custom model builds.

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

Migrate legacy Android camera implementations (Camera1 or raw Camera2 APIs) to CameraX, a lifecycle-aware Jetpack library that resolves rotation issues and handles device dependencies.

Measure and optimize .NET build performance by establishing baselines, enabling MSBuild Server, using artifacts output, and trimming dependency graphs.

Generates Angular code and provides architectural guidance for projects, components, services, reactivity, forms, dependency injection, routing, SSR, accessibility, animations, styling, testing, and CLI tooling.

Upgrade GitHub Actions to supported runtimes by selecting safe action versions, preserving workflow behavior, and validating post-upgrade execution.

Manage Azure MySQL Flexible Server deployments using the .NET SDK. Create servers, databases, firewall rules, configurations, backups, and configure high availability.

Manage Azure PostgreSQL Flexible Server deployments using the .NET SDK. Create servers, databases, firewall rules, configurations, backups, and high availability.

Provides structured prompts for analyzing, planning, and executing .NET framework upgrades, covering project assessment, dependency management, code modernization, CI/CD updates, testing, and documentation.

Provides 42 technology-agnostic cloud design patterns for distributed systems, covering reliability, performance, messaging, security, and deployment to help architects design robust workloads.

Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.

Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.

Provides best practices for building idiomatic Spring Boot applications with Kotlin, covering project setup, dependency injection, configuration, web layer, services, data layer, testing, and coroutines.

Generates customizable prompts for scanning codebases to identify and document high-quality code exemplars, supporting multiple programming languages and configurable analysis depth.

Creates SageMaker endpoints (real-time or async) with autoscaling, CloudWatch alarms, and tagging enabled by default, then smoke-tests them before declaring success.

Canonical patterns for writing custom MSBuild targets, covering the three-level target chain, chain extension, DependsOnTargets vs BeforeTargets vs AfterTargets, Returns vs Outputs, and common pitfalls.

Design and create AEM Workflow models on AEM 6.5 LTS, covering step types, transitions, variables, and XML deployment via Package Manager or Maven.

Registers prompt-based AI agents in Azure AI Foundry via REST API from a local JSON manifest, making them immediately available for invocation.

Ranks any list of impediments and their countermeasures using a value-stream scoring model (ROI, Cost to Implement, Ease of Deployment, Risk Factor) and a fixed prioritization formula.

Evaluates Google Cloud workloads against the Reliability pillar of the Well-Architected Framework, providing actionable recommendations for building, deploying, and managing reliable systems.

Bootstraps a clinical ASR evaluation environment by verifying NVIDIA_API_KEY, installing Python dependencies, and running a smoke test against hosted TTS/ASR services.

Deploys a secure, enterprise-grade Google Cloud landing zone foundation with organization policies, resource hierarchy, billing association, and centralized logging and monitoring.

Provides best practices for developing high-quality Spring Boot applications, covering project structure, dependency injection, configuration, web layer, service layer, data layer, logging, testing, and security.

Design, implement, and validate Python-based IoT Edge modules for telemetry processing, local inference, protocol translation, and edge-to-cloud integration.

Investigate production incidents using CloudWatch Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision tree, and PromQL-style metric query patterns.

Design Azure infrastructure using natural language or analyze existing resources to generate architecture diagrams, refine them through conversation, and deploy with Bicep.

Generates a complete MCP server implementation optimized for Microsoft Copilot Studio, including Power Platform connector schema, custom C# logic, and deployment configuration.

Performs security-focused differential review of code changes (PRs, commits, diffs), adapting analysis depth to codebase size and generating comprehensive markdown reports.

Sets up an isolated Python environment for SageMaker and AWS work, pinning Python version and installing current boto3/awscli to avoid dependency conflicts and stale SDKs.

Fine-tune and deploy CLIP vision-language models for zero-shot classification, image-text retrieval, and embedding extraction with ONNX and TensorRT support.