Last month OpsRamp delivered our Winter release, which introduced several innovations for digital operations management, including: Impact Visibility and Service Context, AIOps for Proactive IT Operations, Cloud Native Monitoring and Event Management

AWS introduced Lambda Layers at re:invent 2018 as a way to share code and data between functions within and across different accounts. It’s a useful tool and something many AWS customers have been asking for. However, since we already have numerous ways of sharing code, including package managers such as NPM, when should we use Layers instead?

A recent article by The Information: As AWS Use Soars, Companies Surprised by Cloud Bills was very interesting and worth a read. The authors examined the AWS spending patterns of five large companies to demonstrate that all were way over budget as it related to AWS spend. They reference Pinterest “spending roughly $190 million on AWS last year, $20 million more than it had initially expected... and Adobe’s bill rose 64%, while Capital One’s jumped 73%; Pinterest’s rose 41%...

In an attempt to jump on the Kubernetes bandwagon, more and more managed Kubernetes services are being introduced. In a previous post, we explored how to deploy a Kubernetes cluster on Amazon EKS. This time, we will cover the steps for performing a similar process, this time on Google’s Kubernetes Engine.

Elasticsearch, Logstash, and Kibana — the trio better known as Elastic Stack (or ELK, if you prefer a term that is now going out of style), make up a powerful set of tools for searching and analyzing data. Their power derives not just from their technical features, but also the fact that Elastic Stack is an open source platform that anyone can download and set up anywhere.

Smarter people than myself, once said that you should do things you don’t like first so that you can enjoy the things you’re doing later. Nobody wants cold starts. They’re annoying, and we continuously feel an itching sensation in our brains because of them. The serverless world would be a much better place to work in if they weren’t there.

While trying to verify the claims made on a somewhat facile rundown of serverless security threats, I ran across Jeremy Daly’s excellent writeup of a single vulnerability type in serverless, itself inspired by a fantastic talk from Ory Segal on vulnerabilities in serverless apps. At first I wanted to describe how injection attacks can happen. But the fact is, the two resources I just shared serve as amazing documentation; Ory found examples of these vulnerabilities in active GitHub repos!

With the growing number of customers monitoring Azure in Datadog, we saw a great opportunity to help our users get faster visibility across their dynamic cloud environments. We’re happy to announce the release of new out-of-the-box dashboards for several Azure services.

In a previous post, we introduced a new integration with Microsoft Azure that makes it easy to ship Azure logs and metrics into Logz.io using a ready-made deployment template. Once in Logz.io, this data can be analyzed using the advanced analytics tools Logz.io has to offer — you can query the data, create visualizations and dashboards, and create alerts to get notified when something out of the ordinary occurs.