Skill UI

Dask is a Python library that scales pandas/NumPy workflows beyond RAM by parallelizing DataFrames, Arrays, Bags, and custom tasks across cores or clusters for ETL, log analysis, and distributed ML.

PyTorch Lightning Toolkit streamlines PyTorch model training by organizing LightningModules, LightningDataModules, Trainer configs, callbacks, logging, and distributed strategies for scalable multi-GPU/TPU runs in research or production workflows.

Expert guide for building durable distributed systems with the Temporal Go SDK, covering deterministic workflow rules, mTLS worker configuration, advanced patterns, and testing/observability strategies for production workloads.

Manages and coordinates complex workflows involving multiple AI agents and tasks. It efficiently distributes work across multiple workers, handles runtime errors, and intelligently merges disparate results into a unified output, making it ideal for large-scale, distributed AI computations.

This skill outlines the development of an automated pipeline to ingest raw Indicators of Compromise (IOCs) from various sources. It performs normalization, defanging (e.g., converting 'http://' to 'hxxp://'), and converts indicators into the standardized STIX 2.1 format. The processed, safe indicators can then be securely distributed via TAXII feeds, MISP, and other threat intelligence platforms.

A specialized tool for detecting anomalies within DNP3 (Distributed Network Protocol 3) communications used in critical SCADA and energy sector infrastructure. It employs deep packet inspection and baseline comparison to monitor for unauthorized control commands, protocol violations, suspicious firmware update attempts, and deviations from established operational traffic patterns.

This guide details the implementation of robust API abuse detection mechanisms. It covers advanced rate limiting techniques, such as the Token Bucket and Sliding Window algorithms, to defend APIs against DDoS attacks, brute force attempts, and credential stuffing. It emphasizes using distributed stores like Redis for accurate, scalable, and adaptive security controls in an API gateway context.

This skill covers implementing robust API rate limiting and throttling controls using advanced algorithms like token bucket and sliding window. It teaches how to protect backend systems against attacks such as brute force, credential stuffing, and resource exhaustion. Key components include configuring limits per user, per IP, and per endpoint, utilizing Redis for distributed counting, and implementing proper HTTP 429 responses for effective abuse prevention.

This skill guides the deployment and comprehensive configuration of Rapid7 InsightVM. It covers setting up the Security Console and distributed Scan Engines for both authenticated and unauthenticated vulnerability scanning. Learn how to manage diverse scan templates (e.g., PCI, HIPAA), utilize various credential types (SSH, WMI), and integrate endpoint assessment for robust cybersecurity posture management.

Aspire is a code-first polyglot toolchain that orchestrates containers, executables, and cloud resources through an AppHost project, guiding creation, debugging, configuration, deployment, and troubleshooting for distributed applications across languages.

Catalogs 42 cloud-agnostic design patterns that architects can apply when designing, reviewing, or operating distributed systems to boost reliability, performance, messaging, security, and deployment outcomes.

OpenSearch is a distributed search and analytics engine integrated into the KubeSphere WizTelemetry Observability Platform. It is crucial for storing, searching, and analyzing various types of observability data, including application logs, system events, audit records, and notification history. This guide covers installation, configuration, and operational best practices for managing the OpenSearch cluster within KubeSphere.