As serverless application architectures have gained popularity, AWS Lambda has become the best-known service for running code on demand without having to manage the underlying compute instances. From an ops perspective, running code in Lambda is fundamentally different than running a traditional application. Most significantly from an observability standpoint, you cannot inspect system-level metrics from your application servers.
When most people hear ‘dynamic thresholds’ in the context of monitoring, they think of the ability to trigger alerts based on a non-static threshold. While this can be incredibly useful, it’s really only half the picture.
You have just deployed a new Virtual Apps and Desktops Site for your customer. You thought about what policies should apply in the environment, however you can’t possibly know them all. So, what you will want to do is to before deploying anything to end-users is shift through all the Citrix Policies on offer and configure them appropriately based on business needs and end-user requirements. There are many policies available. Luckily, you will likely not need to touch 80% of them.
Today's IT and DevOps teams have not one, but two, feature-rich open source Web servers to choose from: NGINX and Apache HTTP Server (which is often called simply "Apache"). At a high level, both platforms do the same core thing: Host and serve Web content. Both also offer comparable levels of performance and security. Yet when you dive into the details, you'll find that there are many differences between NGINX and Apache.
As you monitor the health and performance of your infrastructure and applications, you also need to be able to identify potential threats to the security of those components. To help address this challenge, we’re pleased to announce that Datadog now integrates with AWS Identity and Access Management (IAM) Access Analyzer, a new IAM feature that helps administrators ensure that they have securely configured access to their resources.
Red Hat OpenShift is an open-source, cloud application development platform that enables you to develop, deploy, and manage applications on your cloud infrastructure. We at Wavefront provide enterprise-grade observability and analytics for multiple Kubernetes environments across multiple clouds, now certified for the latest version of OpenShift, Red Hat OpenShift 4.
At Raygun, we’re a pretty polyglot group of developers. Various parts of Raygun are written in different languages and frameworks - whatever is best for the job. Given the vast amount of C# and the explosive growth in data we’re dealing with, some optimization work has been needed at various times. Most of the big gains come from really re-thinking a problem and approaching it from a whole new angle.
The networking field is changing quickly with the emergence of new technologies. This change, along with the onset of digital transformation and increasing cloud-adoption, highlights how businesses have realized the importance of the third platform, as it interconnects mobile computing, cloud computing, social media, and information analytics. 2019 has been the year of edge computing and the dawn of the SD-WAN.