NVIDIA is well known for its computing advancements across a broad range of industries and has become the clear leader in the artificial intelligence (AI) space. Due to their high-performance capabilities, NVIDIA’s discrete graphics processing units (GPUs) now account for approximately 80 percent of the market share for production-level AI, gaming, graphics rendering, and other complex data processing tasks.
With thousands of logs generated every minute from your infrastructure, applications, services, and devices, retaining this copious amount of data for active search and analysis can be cost-prohibitive. Because log volumes continue to grow rapidly as operations scale, it’s common for organizations to implement log management strategies and store only a limited number to minimize costs.
Today’s guest blog is by Mike Stemle, a software engineer and Principal Architect for the Arc XP division of the Washington Post. In his role, Mike focuses on AppSec and large-scale architecture. Anybody who works with me knows that I love the Datadog Service Catalog.
Static sites are currently a popular solution for many lightweight web applications, such as corpsites, blogs, job listings, and documentation repositories. In static web architecture, pages are generated and pre-rendered at build time from markup files, and usually cached in a content delivery network (CDN) for efficient delivery. This saves teams the effort and cost of server management while enabling fast page load times.
OpenTelemetry (OTel) is an open source, vendor-neutral observability framework that supplies APIs, SDKs, and tools for the instrumentation of applications and services. As part of our ongoing commitment to OTel, we are excited to announce support for the ingestion and visualization of runtime metrics from OTel-instrumented applications in Java, .NET, and Go.
We are thrilled to announce that, for the third consecutive year, Datadog has been named a Leader in the 2023 Gartner® Magic Quadrant™ for APM and Observability. We believe that this placement reflects Datadog’s continued commitment to understanding our customers’ most complex challenges and building products and services that give them the visibility they need into their applications.
Whenever an event occurs on your Windows machine, the operating system records an event log that includes details about the nature of the event (e.g., critical runtime error) or security identifiers (for audit events). Windows event logs not only record system and application activity but also user actions and background processes, making them an invaluable tool for monitoring the security and health of your systems.
By storing copies of your content in geographically distributed servers, content delivery networks (CDNs) enable you to extend the reach of your app without sacrificing performance. CDNs lessen the demand on individual web hosts by increasing the number and regional spread of servers that are able to respond to incoming requests for cached content. As a result, they can deliver web content faster and provide a better experience for your end users.
When Kubernetes components like nodes, pods, or containers change state—for example, if a pod transitions from pending to running—they automatically generate objects called events to document the change. Events provide key information about the health and status of your clusters—for example, they inform you if container creations are failing, or if pods are being rescheduled again and again. Monitoring these events can help you troubleshoot issues affecting your infrastructure.
Twingate is a network access platform that enables customers to deploy a zero trust authentication layer with their infrastructure as code (IAC) provider of choice. Using this model, you can program strict access control rules that can be updated and co-deployed alongside changes to your infrastructure. Each time a user establishes or closes a connection to a resource, Twingate documents the event with details such as the port, the volume of data transferred, and user identification.
