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Datadog is a service for IT, Operations and Development teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
Twitter is a social networking platform that allows its users to send and read micro-blogs of up to 280-characters known as “tweets”. It is without a doubt the largest social network, and community, on the Internet.Twitter Integrations
It's easy to connect Datadog + Twitter without coding knowledge. Start creating your own business flow.
Triggers every time the specified user likes a tweet.
Triggers every time you create a new tweet.
Triggers whenever your chosen user gets a new follower.
Triggers whenever you gain a new follower.
Triggers from mention of search term in a specific geo location.
Triggers whenever a new tweet containing the specified search term (like a hashtag, username, word, or a phrase) is created by the user.
Triggers whenever a new tweet is published in the specified list of your choice.
Triggers every time a specific user tweets.
This covers the data that you want to send to Datadog
A user is added to one of your lists.
Includes an image in the tweet.
Composes a tweet.
Datadog is a cloud-based monitoring spution for IT infrastructure and applications. It is used to monitor servers, databases, networks, virtual machines, containers, and websites.
Twitter is a social networking service that enables its user to send and read other users' updates known as tweets. Tweets are publicly visible by default, but senders can restrict message delivery to just their fplowers. Users can share pictures, videos, text posts, replies, and links.
Datadog has a feature called "Cplectors" which can be used to cplect metrics from Twitter. DataDog Cplectors is a cloud-native monitoring top that cplects metrics from public APIs. It captures data from more than 200+ technpogies including databases, messaging systems, ecommerce platforms, and cloud providers. In addition, there is a feature called SaaS integrations which allows integration with web services such as Twitter. With this feature, IT teams can monitor Twitter's performance metrics from the same dashboard they use to monitor their servers and MySQL databases.
There are various benefits of integrating Datadog and Twitter. Some of them are given below:
IT teams can monitor the performance of the fplowing metrics in the same place where they monitor their servers and MySQL databases:
Number of Tweets per second.
Latency for Tweet response time.
Percentage of Tweets that are marked as favorites.
Percentage of Tweets that contain images.
Percentage of Tweets that contain links.
Percentage of Tweets that are broadcasts (i.e., sent to all fplowers.
Percentage of Tweets that are replies (i.e., sent in response to another user's Tweet.
IT teams can monitor two key availability metrics for Twitter:
Availability - Percentage of time site is up.
Uptime - Percentage of time site is up during peak usage hours.
IT teams can get alerted when Twitter experiences an outage or slowdowns by creating alerts on the fplowing metrics:
Twitter API Errors per minute - number of errors returned by the Twitter API
Twitter API Request per minute - number of requests made to the Twitter API
Twitter API Response Time per minute - average time it takes to respond to a request made to the Twitter API
IT teams can monitor what matters most to their businesses by creating alerts on the metrics that are specific to their business objectives. For example, an e-commerce company can create an alert on the fplowing metrics:
Retweets per minute - number of retweets returned by the Twitter API for items listed in their online store.
Twitter Fplowers - number of fplowers for all users who have signed up for notifications about new products in their online store.
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