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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.

Announcing Datadog Agent 5.1 with support for Btrfs and Go expvar

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We are excited to announce the newest release of the Datadog Agent (dd-agent 5.1.0). This latest Agent adds improved support for Btrfs and Go expvars and expands support for a few existing integrations (PostgreSQL, Jenkins, and more). You can find the detailed ChangeLog here. Introducing support for Btrfs Datadog Agent 5.1.0 introduces support for a relatively new Linux filesystem called […]

Monitor Google App Engine with Datadog

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With the release of our Google App Engine (GAE) integration, Datadog has joined the Google Cloud Platform ecosystem. This release allows you to visualize, analyze, and alert on the performance metrics from your Google Cloud Platform infrastructure as well as custom metrics from GAE applications. Setup and configuration If you are a new Datadog customer, then we […]

Running & Monitoring Docker Containers at Scale #re:Invent

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Containerization (à la Docker) is increasing the elastic nature of cloud infrastructure by an order of magnitude. If you have adopted Docker, or are considering it, you are probably facing questions like: How many containers can you run on a given Amazon EC2 instance type? Which metric should you look at to measure contention? How […]

Monitor CoreOS at scale with Datadog

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This is a guest post by Kelsey Hightower @KelseyHightower who is the Director of Business Development at CoreOS. CoreOS was designed to support deployment sizes ranging from a single machine to warehouse scale, which pushes traditional monitoring solutions to their limits. The distributed nature of environments running CoreOS requires a monitoring solution that is easy to install, configure, and […]

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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