Datadog | Cloud Monitoring
Datadog
Datadog is a monitoring, security, and analytics platform for developers, IT operations teams, security engineers, and business users in the cloud age. It can perform effective monitoring of servers, tools, and databases.
It helps users see inside any stack, at any scale, any app, and anywhere. It has been one of the pioneering tools to have a focus on infrastructure monitoring. The perfect merger of monitoring app performance, infrastructure, logs, and user experience is what makes it special.
Datadog dashboard of Nginx
Key Features of Datadog
Datadog is an enterprise SaaS tool that offers an array of services in the monitoring domain. Some of the key features of the Datadog monitoring platform include:
Log Management
Datadog offers scalable log ingestion and analytics through its log management product. Datadog Log Management unifies logs, metrics, and traces in a single view, giving us rich context for analyzing log data. Whether we’re troubleshooting issues, optimizing performance, or investigating security threats, Logging without Limits provides a cost-effective, scalable approach to centralized log management, so we can get complete visibility across our stack.
We can search, filter, and analyze log data through its dashboard. We can route all our logs from one central control panel.
Application performance monitoring
Datadog’s APM tool provides end-to-end distributed tracing from frontend devices to databases. By seamlessly correlating distributed traces with frontend and backend data, Datadog APM enables us to monitor service dependencies, reduce latency, and eliminate errors. We can connect the collected traces to infrastructure metrics, network calls, and live processes.
Security monitoring
Using Datadog security monitoring, we can analyze operational and security logs in real-time. It provides built-in threshold and anomaly detection rules to detect threats quickly. With Datadog security monitoring we can analyze operational and security logs in real-time regardless of their volume while utilizing curated, out-of-the-box integrations and rules to detect threats. Developers, security, and operations teams can also leverage detailed observability data to accelerate security investigations in a single, unified platform.
Network monitoring
Datadog Network Performance Monitoring provides full visibility into every network component that makes up our on-prem, cloud, and hybrid environments, with little to no overhead. By monitoring the performance of connections among our hosts, services, virtual private clouds (VPCs), and other elements, we can quickly determine when our network is the root cause of any issue.
Real user monitoring
With Datadog’s real user Monitoring, we can have insight into our application’s frontend performance from the perspective of real users. Every user journey is correlated seamlessly with synthetic tests, backend metrics, traces, logs, and network performance data, so we can quickly detect poor user experience and resolve issues with context from across the stack.
Alerts
Datadog alerts use tags and machine learning to efficiently identify problems in our infrastructure, applications, and services. Every alert is specific, actionable, and contextual — even in large-scale and highly ephemeral environments — which helps minimize downtime and prevents alert fatigue. And with native SLO and SLA tracking, we can prioritize and address the issues that matter most to our business.
Pros and Cons
Now let’s check out the pros and cons
Pros
- Support for log aggregation and analytics
- Support for anomaly detection and alerts
- Support for custom metrics and custom Datadog integrations
Cons
- No self-hosted solution
- Complex to use; can be overwhelming for new users
- Limited log analytics due to lack of support for JSON log processing
