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Datadog unifies the data from servers, OS, databases, applications, tools and services to present a unified view of the infrastructure. These capabilities are provided on a SaaS-based monitoring and data analytics platform that enables Dev and Ops teams working collaboratively on the infrastructure to avoid downtime, resolve performance problems and ensure that development and deployment cycles finish on time.

O’Reilly Video: Datadog Monitoring Explained

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In the following video, Alexis Lê-Quôc discusses the importance of managing your monitoring and the Datadog tool set.  About Datadog Datadog is a monitoring service that brings together data from servers, databases, applications, tools and services to present a unified view of the infrastructure. These capabilities are provided on a SaaS-based data analytics platform that […]

Read ‘Understanding the Top 5 Redis Performance Metrics’

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Yesterday’s web was mostly populating static pages with contents from relational databases. Today’s web is all about near real-time interactions and low latency. The demands for real-time and the constraints of computer architectures have dictated the need to put in-memory data stores at the center of modern applications. When you need low-latency, persistent, cross-platform storage […]

See all metrics at a glance with the new host summary panel

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Datadog alerting is designed to be transparent and actionable, giving you the flexibility to design targeted alerts and detailed, contextual runbooks. However, your monitoring coverage likely also includes some general, catch-all alerts to cover unanticipated issues. So where do you start when you receive a sweeping alert notification like “System load is high on host:i-abcd1234”? We’re excited to […]

Datadog Agent 5.0: dead-simple installation, large-scale Docker support

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We’re pleased to announce the release of the new Datadog Agent (dd-agent 5.0.0). The new Datadog Agent expands OS support and metric collection for some new and existing integrations. We’ve also engineered the Agent to make the configuration of many Datadog integrations even simpler. Expanded OS support The new Datadog Agent 5.0.0 expands the list of supported […]

Understanding the Top 5 Redis Performance Metrics

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Yesterday’s web was mostly populating static pages with contents from relational databases. Today’s web is all about near real-time interactions and low latency. The demands for real-time and the constraints of computer architectures have dictated the need to put in-memory data stores at the center of modern applications. When you need low-latency, persistent, cross-platform storage […]

Monitor Amazon SQS message traffic with Datadog

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We just released an update to our Amazon SQS integration. If you use SQS, you now have better visibility into the health of your message queues, their traffic patterns, and the state of the messages enabling you to identify and fix performance issues. What is SQS? Amazon’s Simple Queue Service (SQS) is a scalable, managed message […]

Send Events to Datadog over E-Mail

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We now support submitting events into the system over email. This is ideal for applications that do not have a direct integration with Datadog, but are able to send email notifications. If you can control the output of the body of the email, you may want to consider using a JSON-formatted message. This supports tags […]

Read “Datadog Case Study: Bazaarvoice” Virtualization Performance Monitoring and more…

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The Need: Monitoring for a decentralizing and growing development department. Bazaarvoice had grown its product line from a single customer ratings and reviews offering to a suite of social depth platforms that allowed customers to turn user- generated content into actionable insights. As a result, the development team had ballooned from 30 to over 200 […]

Unified VMware vSphere and app monitoring with Datadog

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Managing VMware environments sometimes feels like herding cats. VMware vSphere environments are in a constant state of flux: new applications get rolled out and compete for resources with existing ones while virtual machines bounce between hosts in search for better performance. Adequate VM performance depends on the behavior of a number of systems such as storage arrays, […]

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