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.
