Operations | Monitoring | ITSM | DevOps | Cloud

Last week, AWS announced a fantastic new feature for AWS CloudFormation, CloudFormation Drift Detection. Drift detection allows you to determine whether the AWS resources controlled by your CloudFormation stacks have drifted from their original configuration. This can happen if you manually adjust properties of your AWS resources. Today, we’re excited to announce a new action to report on your CloudFormation drifted stacks: CloudFormation Stack Drift Report.

To make serverless architectures more observable, we’re excited to introduce the new Cloud Functions view in Datadog. You can now search, filter, and explore all your AWS Lambda functions in one central view, and dive straight into detailed performance data that is scoped to a single function. The Cloud Functions view brings together Lambda metrics and logs with distributed request traces from your functions, which are now available in Datadog thanks to our new integration with AWS X-Ray.

With the increasing popularity and adoption of native cloud and serverless systems organizations are starting to demand that DevOps better understand - and manage - cloud costs. This shouldn’t come as a surprise.

We have a running joke at Stackery regarding our tiny little gong that’s used to mark the occasion when we get a new customer. And while I’m all about the sales team celebrating their successes (albeit with a far-too-small gong), I felt like the dev team needed its own way to commemorate major product releases and iterations.

I set out to find a credit mechanism or hard-coded limit in packets per second in AWS EC2. After all my findings set out in this series so far, I had one more test to perform around t2.unlimited. I wanted to see how “unlimited” it is and the difference it makes in packet throughput on capable instance types. This post is about my findings.

Last month, we announced Logz.io Security Analytics — a security app built on top of the ELK Stack, offering out-of-the-box security features such as threat intelligence, correlation, and premade integrations and dashboards. In this article, I’d like to show an example of using both the ELK Stack and Logz.io Security Analytics to secure an AWS environment.

Each November, AWS re:Invent draws thousands of AWS staff, partners, and users to Las Vegas for an intense week featuring all things AWS and AWS-related. As always, Datadog will be there and we’d love to meet you in person. Our engineers are excited to show off the new features they’ve been building and to answer your monitoring questions!

Welcome savvy builder. If you’ve made it to our corner of the Internet and headed to re:invent, you are in the right place. We want you to leave Las Vegas with the savvy to choose how and when to apply the growing menu of serverless capabilities to your initiatives. To help you, we’re sending our serverless-first engineers to Las Vegas with three goals.