Datadog’s features give you full visibility into every part of your application environment, so it’s likely you have many resources to switch between as part of your troubleshooting and development workflows. For example, you might switch from the host map to investigate a performance issue with your services in APM, or jump between dashboards to correlate metrics and troubleshoot a problem with your CI/CD pipeline.
The Sensu Puppet module has seen another major release up to 5.x to coincide with the release of Sensu Go 6. The 5.0.0 bump for the Sensu Puppet module was a chance for us to introduce new features to better support Sensu Go 6, as well as remove code that had been deprecated and no longer needed.
One of the best things about being a .NET developer is all the amazing ASP.NET performance tools that can make your life easier. This blog post is a list of the various types of ASP.NET performance tools at your disposal for finding and optimizing ASP.NET performance problems. Depending on the task, some of these tools will be much better than the others.
While SQL has been the big dog since the 70s in terms of database management, NoSQL has really come into its own since the late 2000s. In fact, NoSQL has become a powerful and important tool for data analysis and data scientists. To that end, we wanted to take a look at what NoSQL actually is, what are the benefits over SQL, and what are the different data models.
In this article, we’ll be rewinding back to the very beginning of the AWS Well-Architected Framework to understand how and why it came to be, and why is it of utmost importance, but very often underrated, for serverless developers to learn, understand and apply this framework of best-practices. We’ll also be looking into how the framework has evolved and how it should be used in 2021.
‘Enterprise class’ is a buzzword that refers to applications that are designed to be robust, flexible, and scalable for deployment by a large organization. There are no firm standards for what makes an application or platform enterprise class, but enterprise-class applications are generally: When any product is developed, there are assumptions made. These assumptions dictate how widely the tool can be deployed and what constraints it has during usage.
Does your work involve a lot of ITOps Monitoring? If so, chances are you have developed a roadmap for 2021 that addresses digital business disruption, application and infrastructure changes, and the ongoing global pandemic… And here’s an opportunity to incorporate expert advice into your plan.
OpenTelemetry 1.0 (Otel) is finally here (in fact, 1.0.1). The announcement brings the industry closer to a standard for observability. OpenTelemetry v1.0.1 will focus solely on tracing for now, but work continues on integrations for metrics and logs. We are still a long way off from this vision becoming reality. Metrics today are in beta, and this is where the community focus is being applied. Logging is even earlier in its life lifecycle.
In my prior three blog posts, we set some ground rules, looked at some out-of-box dashboards, overloaded an in-box property, and finally created an innovative structure to communicate status using SquaredUp's EAM feature. Looking back, when I started this blog, I explicitly stated that traditional monitoring wasn't our goal. It's essential, but the industry (in broad terms) hasn't been successful with monitoring when the only focus is on the infrastructure perspective.
DevOps fits this odd niche between development and oversight. Like any “Wild West” type of position, pretty much anything goes. Your job is to think of everything including the stuff you haven’t thought of yet. You make the rules, and as long as the lights are on you’re considered a success. But alongside that freedom come the rumors and SLA myths that inspire such dread that you write them off as jokes.
