Puppet Enterprise now offers Compliance Enforcement Modules aligned to DISA STIGs Benchmarks. The Defense Information Systems Agency (DISA) Security Technical Implementation Guides (STIGs) were built to safeguard our most critical security systems and data against a dynamic threat environment, yet monitoring and enforcing widely deployed infrastructure at the U.S. Department of Defense (DoD) scale is a formidable task.
Getting existing telemetry into Honeycomb just got easier! With the release of the Datadog APM Receiver, you can send your Datadog traces to the OpenTelemetry Collector, and from there, to any OpenTelemetry-compatible endpoint. Often, evaluating a new tracing solution requires re-instrumenting your applications from the ground up in a new vendor’s tooling. It’s a pretty high bar to clear just to see if a solution is worth adopting.
In the first three parts of this series around improving performance in your Django applications, we focused on database, code optimization, and frontend optimization. In part 4, we will focus on ways to improve the speed of the Django applications.
FireHydrant has partnered with incredible companies to transform incident response inside their organizations, but our goal has always been to support the full incident lifecycle. That’s because we know that investing in good incident management can kickstart your reliability efforts when it includes both a streamlined incident response process that helps you recover faster and the ability to learn from incidents and then feed those insights back into your system.
NOC, or network operation center, processes have been set in stone for decades. But it’s time for some of these processes to evolve. Digital transformation and the cloud era have led to the rise of DevOps, and with it, service ownership. Service ownership means that developers take responsibility for supporting the software they deliver at every stage of the life cycle. This brings development teams closer to their customers, the business, and the value they deliver.
In part 1 of this series, we talked about zombie data and what it means for your observability architecture. In this post, we’ll talk more about how to handle all of it. How well can your organization handle the firehose of data it’s collecting? Yes, you have the ability to collect it, but chances are you don’t have the financial or human resources available to analyze all of it effectively.
