Datadog is excited to celebrate our selection as Customers’ Choice for Application Performance Monitoring in Gartner Peer Insights “Voice of the Customer.” Datadog Application Performance Monitoring empowers customers to monitor, troubleshoot, and optimize end-to-end application performance in a single pane of glass.
CNCF’s KubeCon + CloudNativeCon is the most important event for Kubernetes adopters and technologists. The first KubeCon, which took place in San Francisco in November 2015, gathered around 500 developers and early adopters to discuss the technology and its future. Its 2020 North America edition marked its fifth anniversary and had 25,000 registrants.
In Q4 of every year since 2012, AWS has flooded the Las Vegas strip with thousands of AWS staff, partners, and customers for a week of keynote sessions, announcements, workshops, and more. In a year like no other, we’re gearing up for a re:Invent like no other! As a long-time AWS partner, we look forward to re:Invent every year. We enjoy meeting you face to face, sharing the latest in monitoring and security, and learning a thing or two in the process.
From containerized workloads to microservice architectures, developers are rapidly adopting new technology that allows organizations to scale their products at unprecedented rates. In order to make sense of these complex deployments, many teams are abstracting applications away from the environments in which they run. Because of this trade-off, developers and security teams lose the access to the unified context from infrastructure to application needed to fully secure their services.
In Part 1 of this series, we discussed key VMware vSphere metrics you can monitor to help ensure the health and performance of your virtual environment. In this post, we’ll cover how you can access these key vSphere metrics using a few of VMware’s internal monitoring tools. We’ll also show you how and where to access VMware events and logs to help you gain further insight into your virtual environment.
In Part 2 of this series, we looked at how to use vSphere’s built-in monitoring tools to get insight into core components of your vSphere environment, including virtual machines and their underlying hardware. Next, we’ll show you how to use Datadog to get complete end-to-end visibility into the physical and virtual layers of your vSphere environment.
VMware’s vSphere is a virtualization platform that allows users to provision and manage one or more virtual machines (VMs) on individual physical servers using the underlying resources. With vSphere, organizations can optimize costs, centrally manage their infrastructure, and set up fault-tolerant virtual environments.
Oracle Cloud Infrastructure (OCI) is an infrastructure-as-a-service (IaaS) and platform-as-a-service (PaaS) cloud used by enterprise-scale companies. With a full suite of services for hosting, storage, networking and more, OCI lets customers deliver, maintain, and scale secure, highly available applications. But as your cloud infrastructure becomes more complex, monitoring the full scope of activity across your services and accounts can be increasingly difficult.
AWS Network Firewall is a firewall for Amazon Virtual Private Cloud (VPC) with pluggable support for third-party intrusion detection systems like Snort and Suricata. Customers use AWS Network Firewall to guard against unwanted traffic to and from their VPCs.
Microsoft Azure is one of the fastest-growing cloud platforms in the world, offering a wide range of products for deployment, testing, and cloud storage. Datadog is committed to maintaining an extensible monitoring solution for Azure’s growing ecosystem that doesn’t require lots of manual configuration. That’s why we are excited to announce the following enhancements to Datadog’s Azure integration.
The CNCF’s KubeCon North America 2020 is the premier event for adopters and technologists to learn about and work with the Kubernetes community—and it’s coming up in just a few days. With so much to do and learn within a short period of time, it can be challenging to know where to focus your time. Now that we’re living in an age of all-virtual conferences, that challenge has only increased.
Amazon CloudFront is a content delivery network (CDN) that minimizes latency by caching your content on AWS edge locations around the world. With CloudFront real-time logging, you can understand how efficiently CloudFront is distributing your content and responding to requests. You can collect CloudFront real-time logs in Datadog—in addition to CloudFront metrics—to get deep visibility into the health and performance of your CloudFront distribution.
MarkLogic is a multi-model NoSQL database with support for queries across XML and JSON documents (including geospatial data), binary data, and semantic triples—as well as full-text searches—plus a variety of interfaces and storage layers. Customers include large organizations like Airbus, the BBC, and the U.S. Department of Defense. Because MarkLogic can process terabytes of data across hundreds of clustered nodes, maintaining a deployment is a complex business.
DNS is a critical component of your infrastructure, enabling your services to reach the endpoints they rely on and connecting your users to your web applications from anywhere in the world. In order to keep your DNS healthy and performant, you need complete visibility into both internal and external DNS resolution. Datadog is excited to announce new DNS monitoring features that help you troubleshoot DNS end-to-end, so you can ensure your applications’ performance and availability.
Your application’s health depends on the performance of its underlying infrastructure. Unexpectedly heavy processes can deprive your services of the resources they need to run reliably and efficiently, and prevent other workloads from executing. If one of your applications is triggering a high CPU or RSS memory utilization alert, the issue has likely occurred before.
Snowflake is a cloud-native data platform that enables users to easily store, manage, analyze, and share high volumes of structured and semi-structured data. Whereas traditional data architectures often consist of multiple databases, data warehouses, and data lakes, Snowflake breaks down the silos between your different data sources and serves as a single source of truth for a wide range of simultaneous workloads.
