'application' 검색 결과

Set up automated security checks that inspect source code without running the application. Configure Semgrep, SonarQube, or CodeQL, add project-specific rules, reduce false alarms, and define criteria for blocking problematic changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding automated security scans to CI/CD
• Creating security rules for project-specific code patterns
• Reducing false alarms and scan time

Build Python applications that handle other work while waiting for network or database operations. Use asyncio and async/await to run tasks concurrently, manage errors and timeouts, and handle cancellation with appropriate cleanup.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building web APIs that handle many simultaneous requests
• Fetching data from multiple sources concurrently
• Implementing WebSocket servers and chat systems

Configure Prometheus to collect and store operational metrics from infrastructure and applications. Covers collection schedules, alert rules, automatic discovery of monitored services, and troubleshooting checks to help establish and maintain monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up infrastructure and application monitoring
• Configuring metric collection intervals and retention
• Designing alert rules

Investigate active macOS connection failures without changing network settings. Uses built-in tools to distinguish local network, DNS name lookup, upstream path, and application problems, then reports evidence, confidence, and the next useful diagnostic check.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate API or MCP service timeouts
• Check failed or inconsistent DNS lookups
• Locate likely causes of video call lag

Evaluate LLM applications using automated scores, human reviews, and model-based judging. Build repeatable checks to compare models or prompts, assess answer quality, and detect declines in performance before deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing models and prompts
• Checking quality after prompt changes
• Detecting performance declines before deployment

Design AI applications with LangChain 1.x and LangGraph, libraries for coordinating language models and workflows. Build agents that use external tools, manage conversation history and saved state, process documents, and support tracing and testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an AI agent that calls external tools
• Manage conversation history and saved execution state
• Create document processing and retrieval workflows

Build and review C#/.NET APIs and business backends using concrete implementation patterns. Cover asynchronous operations, service dependencies, database access, configuration, caching, and tests to structure application code and examine quality and performance issues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a new .NET Web API
• Reviewing asynchronous C# code
• Improving database access and caching

Design application and API behavior when operations fail. Choose between exceptions and Result types, which explicitly represent success or failure, and improve retries, error messages, logging, and resource cleanup so failures are easier to handle and investigate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add error handling to a new feature
• Design API behavior for failures
• Improve error messages and logs for production debugging

Prepare and publish Windows apps to the Microsoft Store using msstore. Covers account credentials, application packaging, submission tracking, beta testing groups, gradual releases, and automated publishing through CI/CD pipelines.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up credentials for Microsoft Store publishing
• Package and submit a Windows app
• Check submission status and update listing metadata

Investigate LLM application failures with Phoenix CLI by reviewing execution records, recording observations, and grouping mistakes into counted categories. Inspect datasets and experiments to identify which failure types deserve evaluation tests first.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failures in LLM applications
• Grouping observed mistakes into failure categories
• Choosing which evaluation tests to build first

Turn application requirements into an Azure Cosmos DB NoSQL data model. Gather read and write patterns, workload volumes, and relationships, then document container structures, partition keys for distributing data, indexes, and design trade-offs in two Markdown files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a data model for a new application
• Choosing how to group and partition related data
• Reviewing database costs for high-volume workloads

Build applications with GitHub Copilot SDK using Python, TypeScript, Go, or .NET. Add custom tools, display responses as they arrive, preserve conversations across restarts, and connect external tools through MCP, a protocol for connecting agents to tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Embed an AI assistant in an application
• Add custom tools for an agent to call
• Display generated responses as they arrive

Prepare an ASP.NET .NET Framework application for Windows Docker containers. Create project-specific build and runtime files, configure environment-based settings and Windows dependencies, and verify that the Docker image builds successfully.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Move an existing ASP.NET application into a Windows container
• Configure COM components and other Windows dependencies
• Read application settings and connection strings from environment variables

Develop and troubleshoot distributed applications with Aspire. Coordinate services written in different languages through AppHost, configure connections and startup dependencies, inspect logs and metrics, and prepare deployment settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating an Aspire application from a template
• Connecting services written in different languages
• Diagnosing services through logs and traces

Set up telemetry, data about application operation, for web apps hosted in Azure. Choose automatic or manual instrumentation, create an Azure App Insights resource, and configure application code to send monitoring data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add telemetry to an ASP.NET Core app hosted in Azure
• Send operational data from a Node.js app to Azure App Insights
• Configure automatic instrumentation for Azure App Service

Investigate high CPU usage in Java applications with Arthas. Identify busy threads, inspect method call paths, and produce an evidence-based diagnosis with specific methods to examine next.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating sudden CPU spikes in Java applications
• Finding busy threads behind slow application responses
• Narrowing down methods for further tracing

Investigate Spring configuration and Beans, the objects Spring manages, using Arthas. Check configuration sources, find registered objects by name or type, and inspect registration details while prioritizing read-only queries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking configuration values and where they came from
• Investigating a Bean that appears to be missing
• Finding candidate implementations for dependency injection

Deploy a Software-Defined Perimeter that connects verified users to authorized applications. Configure single-packet authorization, mutual certificate authentication, access policies, and monitoring, then test whether unauthorized connections and access between applications are blocked.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building zero trust access to internal applications
• Hiding services from unauthenticated network scans
• Testing certificate authentication and access restrictions

Analyze Windows Amcache records to investigate applications, deleted executable traces, and drivers. Extract file details, compare SHA-1 hashes with malware databases, and combine records into a timeline to support incident investigations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating traces of deleted executables
• Checking software installed during an incident
• Comparing file hashes with malware databases

Build AWS applications with managed services that reduce server administration. Follow patterns for Lambda functions, HTTP APIs, database access, and queued background processing, with guidance on deployment and delays when functions first start.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build HTTP APIs with Lambda and API Gateway
• Read and write application data in DynamoDB
• Process SQS messages with retries and a dead-letter queue

Prepare a professional reference list for job applications, choosing people who can discuss your work. Draft permission requests and briefing materials, organize contact details, and prepare for questions employers may ask your references.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating a reference list for a job application
• Choosing former managers or colleagues as references
• Drafting permission requests and briefing emails

Compare a job posting with your experience to score how well the requirements match. Identify strengths, missing qualifications, and potential concerns, then plan application priorities, resume adjustments, and points to address in a cover letter.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare a job's requirements with your experience
• Prioritize jobs before preparing applications
• Plan resume adjustments and cover letter points

Prepare an academic CV for faculty, postdoctoral, or research applications. Organize publications, grants, teaching, and research experience, with section order and formatting adapted to the role and academic field.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a CV for faculty applications
• Updating a CV for postdoctoral applications
• Organizing publications and research funding

Design and refine prompts for LLM applications by organizing roles, context, instructions, constraints, and output formats. Develop representative examples, manage the information supplied to the model, and evaluate changes to improve how consistently responses match expectations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Structuring a system prompt for an LLM application
• Specifying response formats and constraints
• Creating examples that include edge cases