Top 10 Best Observability Tools For Data Monitoring

Observability tools are software systems and platforms that help monitor, measure, and analyze the performance, health, and behavior of applications, systems, or infrastructure in real-time.

Discover the top 10 observability tools

Grafana

Improve operational efficiency, monitor your infrastructure, and analyze metrics, logs, and traces with Grafana, the leading open source tool for dashboards and visualizations.

  • Grafana’s growing suite of visualizations, ranging from time series graphs to heatmaps to cutting-edge 3D charts, help you decode complex datasets
  • With 150+ Grafana plugins, you can unify all your data sources into a single dashboard to streamline data monitoring and troubleshooting
  • Alert on data from a wide variety of data sources to identify problems and fix them quickly

Newrelic

Newrelic – Gain deep AI-powered insights with a unified full-stack observability platform to uncover and fix errors and security issues faster from one place.

  • Automatically understands all your growing systems and data
  • Autonomously predicts and prevents issues and orchestrates operations
  • Connects observability to business impact, providing intelligence for all

Elastic

Elastic Observability – the most widely deployed GenAI optimized observability solution. You get full stack visibility and actionable insights to go from real-time to proactive.

  • Unify visibility across hybrid and multi-cloud
  • Fast-track your move to the cloud
  • Round-the-clock monitoring of digital experience
  • Speed up innovation with faster releases
  • Context-aware actionable insights with ML and AI

Dynatrace

Dynatrace – Turn data into answers, through intelligent observability by resolving problems rapidly, and delivering superior customer experience.

  • Real-time topology mapping provides context across the full stack
  • Causation-based AI delivers precise answers
  • OpenTelemetry for better coverage
  • Automation enables scalability
  • Harness intelligent observability

Cloudzero

Cloudzero – Proactively manage cloud costs and drive meaningful business insights.

  • Ingest any cloud, PaaS, and SaaS spend, including AWS, GCP, Azure, Snowflake, Kubernetes, and more
  • Organize spend by any dimension you care about, including cost per customer, feature, and more
  • Empower your engineers with relevant, timely cost data that lets them find optimizations only they can find

Observeinc

Observeinc – Fewer incidents, more features & happier customers.

  • Open Data Collection
  • Separate Compute and Storage
  • Always Hot Data
  • Schema-On-Demand
  • Rich and Intuitive Language
  • O11y AI
  • Data Correlation and Acceleration
  • Elastic Compute and Columnar Analytics
  • Cost-efficient Cloud Object Storage
  • Unified, Open Data Lake

Montecarlodata

Monte Carlo increases trust in data and AI by helping teams find and fix bad data, fast.

  • Scale anomaly detection across your pipelines automatically
  • Deploy deep quality monitors with +50 metrics
  • Build custom rules for unique business logic
  • Ensure consistency across tables and databases
  • Enhance focus with automated impact analysis
  • Get actionable alerts to the right team
  • Track incident tickets, severity, and status
  • Display data product SLAs and health status

Servicenow

Servicenow – Break down silos to resolve issues quickly across teams, integrate observability capabilities into your existing workflows for alerting and incident management.

  • Help teams spend less time investigating and more time building
  • Analyze system-wide data instantly to answer the questions that matter most
  • Maintain vendor neutrality while maximizing coverage for visibility and observability
  • Query your telemetry data with one tool across notebooks, dashboards, and alerts
  • Integrate logging into core telemetry workflows alongside metrics and tracing data
  • Know where issues exist, quantify their impact, and resolve them before they impact production
  • Query and correlate metrics, logs, and traces on demand across your cloud-native ecosystem
  • Automatically discover and map cloud-native apps, inferred services, and Kubernetes objects

Datadoghq

Datadoghq – Modern monitoring and security allows you to seamlessly analyze and correlate front and backend data.

  • Modern monitoring for a complex world
  • See everything in one observability platform
  • Create context to gain actionable insights

Azure.microsoft

Gain end-to-end observability into your applications, infrastructure, and network both on cloud and hybrid environments with Azure Monitor.

  • Get a customized monitoring experience on a particular service or set of services with minimal configuration
  • Observe ingested data from your distributed environment on a single pane of glass
  • Get deeper troubleshooting, diagnosis, and analysis on your telemetry data
  • Get near-real-time alerts and ability to autoscale resources when load increases

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