Datadog
Datadog provides infrastructure monitoring software that allows you to see your application performance in one place. It features SaaS and cloud platform, monitoring and instrumentation, bug tracking, source control, automation tools, alert notification for any metrics, and more. The real-time dashboard offers real-time graphs, data report by category, view customization, and rate and ratio computations.
Top Datadog Alternatives
HEAL Software
This Application Performance Monitoring (APM) software leverages advanced AI and machine learning to proactively prevent IT issues, achieving a remarkable 95.5% reduction in problems.
Nagios XI
Nagios XI provides IT performance monitoring software with scalable and flexible platform.
SharePath APM
SharePath APM is a powerful application performance monitoring software that enhances IT operations by offering in-depth insights across the entire application stack.
DX Application Performance Management
DX Application Performance Management (DX APM) equips organizations with robust tools to monitor and enhance application performance throughout the software lifecycle.
RTView
RTView empowers organizations by providing a unified monitoring platform that consolidates health metrics across diverse technologies.
eG Enterprise
eG Enterprise is a robust Application Performance Monitoring (APM) solution that integrates over 500 technologies into a single console.
meshIQ
It offers integrated monitoring and observability, enabling end-to-end transaction tracking across multiple middleware...
F5 BIG-IP
By consolidating essential services such as load balancing, API security, and DDoS protection, it ensures...
ITSonar
By proactively detecting issues and utilizing machine learning for performance insights, it facilitates fault domain...
IBM Instana
With real-time, high-fidelity data, it enables organizations to trace problems across complex cloud-native environments, reducing...
DeltaForce
Utilizing patented technology, it automatically imports and analyzes source files and database schemas to uncover...
Germain UX
By uncovering user experience flaws and technology issues, it enhances customer journeys, reduces cart abandonment...
CitraTest APM
It enables the identification of slow components and geo-discrepancies, helping to validate SLAs for both...
Cavisson NetStorm
Its innovative technology simulates backend applications and networks, enabling users to manage load variables effectively...
Bionic
By seamlessly integrating with CI/CD pipelines, it identifies critical risks within the application layer, prioritizing...
Datadog Review and Overview
Datadog, as the name shows, is a data sniffing(monitoring) service, used mostly for cloud-based applications; their servers, databank, tools, and services, using SaaS platform. In short, it is a data analytics tool. Launched since 2010 from New York, it now has over 1000+ employees, working to provide end-to-end analytics and metrics. It has received trendy nomination over sites like Forbes’ Cloud, Crain’s, Wealthfront, and Business Insider.
The core features provided by Datadog are Infrastructure, Log Management, APM, Network, Synthetics, and Real User Monitoring. It uses a Golang based agent to provide these services. It has been integrated with popular cloud services like Microsoft Azure, Amazon, AWS, Google, etc., and now houses over 300+ integrations.
Datadog Infrastructure
It grants core data collections with a centralized panel to assess systems, servers, metrics, and multiple integrations. It offers a machine learning alert system and real-time process monitoring too. It also covers SSO with SAML, automated insights, anomaly detection, serverless containers, and full data retention.
Datadog Log Management
Log Management records the entire data with adjustable retention. It supports unlimited data sources, unlimited user account data, in-depth search tool, Data Processing/Parsing, Log pattern analytics, and Dynamic Index Routing. It uses Amazon AWS and Google Cloud Storage for archiving and Log Rehydration.
Datadog APM and Network
Application Performance Management or APM service by Datadog helps tracing across various hosts, containers, and services. The centralized panel displays details for latency, errors, Apdex, and database queries. Applications in languages like Java, Ruby, PHP, Python, etc. are supported.
It has several metadata assessment, app analytics, and automated alerting system. The Network services of Datadog enlists traffic mapping, cloud coverage, traffic tracking, aggregation, automated tagging, and offer the AZ traffic analysis. This service starts with cheap $5 plans.
Datadog Synthetics and Real User Monitoring
Datadog’s Synthetic service uses a synthetic environment to test various apps and products. It uses simulation tools for checking user requests, site uptime, latency, tracking SLA and SLO, etc. It offers a web recorder, self-maintaining test, waterfall visualization, and uses real-time alerts for any discrepancies.
RUM is a performance overview service that comes with a centralized section displaying individual usage stats. It collects various data on the users point like load time, view counts, severe errors, frontend errors, and other users interaction data.
Datadog truly offers a full package of application monitoring and analytics for individuals and businesses. Forrester Wave has nominated it as best in Intelligent Application and Service Monitoring, which is truly deserved.
Top Datadog Features
- End-to-end visibility
- Real-time threat detection
- Code security monitoring
- Cloud security assessments
- Performance optimization tools
- User experience metrics
- Log analysis and filtering
- Comprehensive network monitoring
- High-resolution metrics dashboards
- API access for integration
- Seamless DevOps stack integration
- Fast incident resolution workflows
- Anomaly detection capabilities
- Root cause analysis tools
- Cross-team visibility features
- Turn-key integrations
- Mobile app accessibility
- Simplified application performance monitoring
- Continuous software delivery support
- Streamlined service management workflows.
