The one complaint that an IT administrator dreads to receive is one where an end user says, “My application is slow!”. The application in question can be a web application, an enterprise application like SAP, Microsoft SharePoint, or a SaaS application like Salesforce or Office 365. Since the application is accessed over a network, it’s natural that the network team is pulled up first under the suspicion that it’s a network issue.
With AWS Lambda, we get blue-green deployment out of the box. After we update our code, requests against our function would be routed to the new version. The platform would then automatically dispose of all containers running the old code to free up resources.
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.
