If you’re trying to evaluate and understand the ROI of building an observability practice and carve out a budget for it, you’re not alone. You’ve probably got some monitoring and metrics capability already, but that’s proving to not be enough–how can you empower your teams as your environment becomes too complex for the basics? And how much will that cost?
Simple enough to be embedded in text as a sparkline, but able to speak volumes about your business, time series data is the basic input of Anodot’s automated anomaly detection system. This article begins our three-part series in which we take a closer look at the specific techniques Anodot uses to extract insights from your data.
Serverless computing is a cloud-based application architecture where the application’s infrastructure and support services layer is completely abstracted from the software layer. Any computer program needs hardware to run on, so serverless applications are not really “serverless” - they do run on servers - it’s just that the servers are not exposed as physical or virtual machines to the developer running the code.
Businesses all over the world, especially small ones, always struggle with support software. With limited resources, it becomes difficult for them to manage different types of emails and they end up with more work than they can handle. The lack of proper support software has many negatives with companies not being able to cope up with the entire workload. This is one of the main reasons why there is so much demand for online tools like Groove.
Today we are announcing the general availability of Enterprise Alert 2019! We have spent more than 1 year of development to enhance Enterprise Alert. Among many smaller features, further performance improvements and revised mobile apps, release 2019 introduces comprehensive multi-tenant management providing for benefits like...
Software as a Service (SaaS) is a mainstream way of bringing enterprise applications to hundreds of thousands of application users at a stable cost. Rather than loading client software on a desktop PC, we lease software from the cloud, and monitor how the SaaS application is delivered. That makes it available to everyone in the enterprise.
Data drives every decision we make at Datadog. That includes decisions about when to leave the office to catch the train! A few years ago, Datadog engineers created MTAServiceChecker.com to provide ourselves and our fellow New Yorkers with detailed insight into New York’s subway system, the MTA. For a recent Datadog hackathon, Chuck Hagenbuch and I, part of our growing engineering team here in Boston, created a version of the service checker for our local system, the MBTA.
Squared Up 4.1 just landed. And what better way to start this announcement than the promise of more feature releases?! It’s been seven months since Squared Up 4.0, but the hard work put in by the development team since then has set us up for a bright, feature-rich future. All those juicy performance improvements and platform changes mean, moving forward, you can expect a new feature release from us every two to three months.
