February 4, 2016

Posted in: Alerting, Community, Datadog, New Feature

Monitor View: A window into Datadog’s monitoring engine

See exactly when an alert will fire with Monitor view

Chances are you’ve created an alert that didn’t fire exactly when you expected it to, even though it is working exactly right. Often an alert is configured to trigger when a moving average exceeds a certain threshold—for example, when the number of 5xxs averaged over the last hour exceeds two per minute—and often you may […]

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February 3, 2016

Posted in: Community, Datadog

OpenStack: host aggregates, flavors, and availability zones

Monitor OpenStack key performance metrics

When discussing OpenStack, correct word choice is essential. In this article we disambiguate host aggregates, flavors, and availability zones in OpenStack.

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January 28, 2016

Posted in: Datadog, New Feature

Host Maps just got better

New and improve host maps give you a high-level overview of your architecture without sacrificing low-level granularity.

Custom color schemes, arbitrary fill metrics, saved Host Maps, and a dashboard widget make Datadog's Host Maps better than ever before.

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January 26, 2016

Posted in: Community, Fun

Install OpenStack in two commands for dev and test

deploy devstack

This article will show you how to get a full OpenStack stack running in just two commands using DevStack. DevStack is not intended to be a general OpenStack installer, but is a great option for dev/test. Because it was made for development and testing, DevStack takes most of the decision making out of the installation […]

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January 19, 2016

Posted in: Community, Datadog, Metrics

How Lithium monitors OpenStack

How Lithium uses Datadog to monitor OpenStack

Before Datadog, Lithium engineers and developers relied on the Horizon interface and command line tools to access OpenStack metrics. With Datadog, team members from across the organization are all on the same page.

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January 14, 2016

Posted in: Alerting, Datadog, New Feature, Team

Tiered alerts: Urgency-aware alerting

Tiered alerts give you the flexibility to send the right alerts to the right people.

Datadog alerts are commonly used to identify dips, spikes, or unhealthy trends in your metrics. For instance, you might alert on memory rapidly running out, or a dramatic drop in requested work. Alerts are built to automatically notify individuals or teams via the communication tools you already use, such as PagerDuty or Slack. But alerts […]

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January 13, 2016

Posted in: Community, Datadog

How the Apache Software Foundation monitors with Datadog

apache+dd_blog-01

This is a guest post written by Geoffrey Corey, System Administrator at the Apache Software Foundation, a decentralized community of developers that produces more than 100 different pieces of open source software on an all-volunteer basis. The Apache Software Foundation has many different servers facilitating many different services across many different hosting providers. Managing these […]

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January 11, 2016

Posted in: Uncategorized

Why 2016 is the year of monitoring at scale

year_of_monitoring

Since launching Datadog, we’ve seen our thesis validated on a far broader scale than we had originally anticipated.

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January 6, 2016

Posted in: Datadog, Integration

Ansible + Datadog: Monitor your automation, automate your monitoring

ansible+dd_blog-01

When you are managing a large number of servers, a good infrastructure automation tool can make your life much easier. But once you have automated your provisioning, deployment and configuration management, you want some insights into how it’s all working. We are happy to introduce a new integration with Ansible, which joins our other automation integrations: Chef and Puppet.

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January 5, 2016

Posted in: Databases, Datadog, Metrics

How Connectifier unfroze MongoDB with Datadog

Blog-Feature-Connectifier-390x256

This is a guest post from Ben McCann, co-founder of Connectifier. At Connectifier we’ve been helping great companies grow quickly, and placing ten of thousands of candidates into new jobs. Connectifier runs distributed across dozens of machines examining hundreds of millions of datapoints to help optimize the distribution of human capital. We consistently push our […]

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