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dockerlabs is a collection of educational labs and technical tutorials designed to teach the fundamentals of containerization and microservice architecture. It provides instructional material and hands-on exercises covering image optimization, security training, infrastructure setup, and cluster orchestration. The project features specific courses and guides focused on reducing image size through multi-stage builds, securing workloads via vulnerability scanning and encrypted networks, and deploying multi-node clusters with high availability using Swarm orchestration. The materials cover a br
VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct
Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r
Highlight is a full-stack observability platform and monitoring system that aggregates logs, errors, and distributed traces to provide a unified view of application health. It functions as a distributed tracing system, an error monitoring service, and a session replay tool. The platform is available as a dockerized monitoring stack for self-hosted deployments on Linux. It distinguishes itself by combining backend observability with a visual recording system that captures document object model changes and network requests to replay user interactions. The system covers several core capability
This project is a containerized orchestration layer for the Elastic Stack, providing a pre-configured set of Docker Compose files to deploy Elasticsearch, Logstash, and Kibana as a unified data analysis stack. It functions as a centralized log management system for ingesting, indexing, and searching log data using a cluster of interconnected services.
The main features of deviantony/docker-elk are: Observability Stack Deployments, Compose Orchestrators, Full-Stack Orchestration, Centralized Logging Systems, Log Ingestion, Elastic Stack, Persistent Volume Mapping, Database Cluster Scaling.
Open-source alternatives to deviantony/docker-elk include: collabnix/dockerlabs — dockerlabs is a collection of educational labs and technical tutorials designed to teach the fundamentals of… victoriametrics/victoriametrics — VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term… uptrace/uptrace — Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces,… highlight/highlight — Highlight is a full-stack observability platform and monitoring system that aggregates logs, errors, and distributed… graylog2/graylog2-server — Graylog2-server is an open-source centralized log management system and aggregator. It functions as a log analysis… elastichq/elasticsearch-hq — Elasticsearch-HQ is a web-based management interface used to monitor and administer Elasticsearch clusters, indices,…