Showing posts with label OpenTelemetry. Show all posts
Showing posts with label OpenTelemetry. Show all posts

Application Observation, Generation, logs

 OpenTelemetry, Prometheus, Datadog, Splunk, and ELK. These are all popular tools in observability, monitoring, and logging but serve slightly different purposes:


🔹 OpenTelemetry (OTel)

  • What it is: An open-source observability framework for collecting metrics, logs, and traces from applications.

  • Purpose: Standardizes how telemetry data is generated and exported.

  • Key Points:

    • Vendor-neutral (works with Prometheus, Datadog, Splunk, etc.).

    • Provides SDKs and APIs in many languages.

    • Focus is on data collection, not storage/visualization.


🔹 Prometheus

  • What it is: An open-source metrics monitoring system.

  • Purpose: Collects time-series metrics (CPU, memory, request rate, etc.) from apps and systems.

  • Key Points:

    • Uses a pull-based model (scrapes data from exporters).

    • Comes with its own query language (PromQL).

    • Integrates well with Grafana for dashboards.

    • Strong in metrics, but not designed for logs or traces.


🔹 Datadog

  • What it is: A commercial SaaS monitoring & observability platform.

  • Purpose: Provides full-stack monitoring (metrics, logs, traces, security, APM).

  • Key Points:

    • Agent-based collection across infrastructure, apps, and cloud services.

    • Unified dashboards, anomaly detection, alerting.

    • Easy integration with AWS, Azure, GCP, Kubernetes, etc.

    • Paid solution, but reduces operational overhead compared to managing open-source stacks.


🔹 Splunk

  • What it is: A log management and analytics platform.

  • Purpose: Indexes, searches, and analyzes machine data (logs, events, metrics).

  • Key Points:

    • Originally built for log aggregation and searching.

    • Powerful search language (SPL – Search Processing Language).

    • Expanded into APM, security (SIEM), observability.

    • Commercial with high scalability, but can be costly.


🔹 ELK Stack (Elasticsearch, Logstash, Kibana)

  • What it is: An open-source stack for log collection, storage, and visualization.

  • Components:

    • Elasticsearch → Search & analytics engine.

    • Logstash → Data ingestion pipeline (collect, parse, transform).

    • Kibana → Visualization and dashboards.

  • Key Points:

    • Often extended with Beats (lightweight shippers).

    • Popular for building self-managed log analytics platforms.

    • Alternative to Splunk, but requires more maintenance.


🧭 How They Relate

  • OpenTelemetry → Collects telemetry data (works with all the others).

  • Prometheus → Best for metrics.

  • Datadog → All-in-one SaaS observability.

  • Splunk → Strong in log analytics and enterprise observability.

  • ELK → Open-source log analytics alternative to Splunk.