Datadog
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Datadog: Monitor Data And Receive Analytics Effectively
A cloud-based, scalable, and versatile software-as-service solution like Datadog allows companies to have a bird's eye look into their entire technology stack.
Companies can obtain real-time analytics and monitoring benefits over their systems and user experience from one single source thanks to Datadog's monitoring consolidation feature. Through clean and concise monitoring, teams can locate and mitigate problems effectively.
Datadog services for business
Logging and Log Management
Datadog offers logging solutions that enable businesses to collect, analyze and manage logs from across their infrastructure and applications.
Security Monitoring
Datadog helps businesses improve their security posture by providing real-time threat detection, anomaly detection, and compliance monitoring.
APM (Application Performance Monitoring)
Enable businesses to monitor their application performance in real-time, identify performance bottlenecks, and optimize application performance.
Infrastructure Monitoring
Enable enterprises to monitor the health and performance of their cloud infrastructure, containers, and orchestration platforms.
Rootstack and Datadog: Solutions for your business
Rootstack trusts Datadog's reach and offering because it has solutions for all kinds of business models and companies with custom requirements are probably the ones who could benefit the most due to the high level of integrations and customization available on the platform. Other uses of Datadog fall in the fields of financial and healthcare services, e-commerce, machine learning, IoT, and much more.
Key Features
Automatically collects logs from all your services, applications, and platforms.
Analyze user experience: Monitor critical user journeys captured with an easy-to-use web recorder.
You will be able to view load times, frontend errors, and resources for each user session.
Datadog reports performance issues, whether they affect a single host or a massive cluster.
Our implementation process
1
Agent Configuration
We install agents on servers, containers, or in the cloud.
2
Service Integration
We connect Datadog with databases, APIs, Kubernetes, or applications.
3
Alerts and Insights
We set up intelligent alerts based on metrics and patterns.
4
Continuous Optimization
We analyze trends and bottlenecks. We fine-tune the infrastructure.
