Today’s post is a detailed guide on how to send custom metrics to AWS CloudWatch monitoring using AWS Lambda. Starting from scratch, we’re going to finish up this post by leaving a serverless project running on Amazon Web Services (AWS). And do you want to hear the best part? Getting started will cost you less than you might spend on a cheeseburger.
We are proud to announce that we have enhanced our Microsoft Azure integration to support more than 60 Azure services, including Cosmos DB, Service Bus, and Azure DB for MySQL and PostgreSQL. Datadog now automatically collects metrics and tags from all services supported by Azure Monitor to provide comprehensive Azure monitoring through one integration.
This week’s roundup highlights videos from Monitorama, making your own Grafana Plugins, NetApp’s fully open source monitoring stack and more.
In advance of the new simplified Stackdriver pricing that will go into effect on June 30, we want to make sure everyone gets a chance to try Stackdriver. That’s why we’ve decided to offer the full power of Stackdriver, including premium monitoring, logging and application performance management (APM), to all customers—new and existing—for free until the new pricing goes into effect. This offer will be available starting June 18.
Welcome to part two of a three-part series on trend analysis of log event data. Today, we will explore how to perform, using Graylog, a few of the types of trend analysis discussed previously.
As product managers, you’re ultimately the one held responsible for the entire product. So the last thing you want to assume is that someone else has got monitoring and alerts covered. In the first days of a release, all eyes are on the new product or latest feature. Just a few months later, when you introduce a brand new feature, the old one might break in the process. At times like these, you want to be ahead of your users, and not hear from your users that something isn’t working.
Oracle Database has long been a mainstay of the business world. Companies use it to handle data sets backing a wide variety of complex applications, including data warehouses or OLTP systems. Oracle Database includes enterprise-friendly features that emphasize scalability, advanced partitioning, and optimized availability of data across a large, potentially disparate infrastructure, as well as real-time backup and recovery tools.
