Wavefront

Palo Alto, CA, USA
2013
Jan 13, 2020   |  By Hassan Tahir
As you continue your monitoring and observability journey with Wavefront by VMware and more teams in your organization start using the platform, one thing becomes clear; you need the ability to see how the platform is being used. Basically, you need the ability to monitor the monitor. Wavefront comes with a number of internal metrics that track usage of your Wavefront instance and provides you with countless ways to interpret them via the query language.
Dec 21, 2019   |  By Howard Yoo
In this post, I’ll walk you through instrumentation and monitoring of a simple standalone application developed with Spring Boot 2.0. The application is running as a container in Kubernetes. Spring Boot is an open-source Java-based framework used to create microservices. Kubernetes is a popular container orchestration system. See the references at the end of the page to learn more about Spring Boot and Kubernetes.
Dec 16, 2019   |  By Stela Udovicic
I recently chatted with Scott Bonebrake, Principal Software Engineer in the Data Engineering and Analytics (DEA) team at Microsoft Yammer. Yammer is a secure enterprise social network internal to an organization, that enables people to connect and engage across their company. We discussed why Yammer chose Wavefront by VMware and how they are using Wavefront to increase their ROI.
Dec 5, 2019   |  By Gordana Neskovic
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.
Dec 4, 2019   |  By Frank Hattler
As a developer, SRE, or operations engineer, you often get incident alerts, and you know it’s just the beginning. Alerts lead to a slew of questions that must be answered in order to triage an issue. The Wavefront Alert Viewer helps you answer these questions quickly by presenting the information you need.
Dec 3, 2019   |  By Karthik Narayan
Earlier this year, we released the Wavefront Collector for Kubernetes, supporting all popular flavors of Kubernetes: VMware Enterprise PKS and Tanzu, Pivotal Cloud Foundry, Red Hat OpenShift, Amazon EKS, Google GKE, Azure AKS, and others. With it, we were able to bring an entirely new set of capabilities to help you monitor and manage your Kubernetes deployments at scale, proven to support 200,000+ containers per cluster in use and 1,000s of developers.
Dec 2, 2019   |  By Chhavi Nijhawan
Wavefront by VMware delivers comprehensive observability capabilities that benefit customers greatly. In particular, Wavefront is designed for enterprises needing at-scale Kubernetes observability, benchmarked to monitor 200,000+ containers per cluster in use. Now we’re adding enhancements to further automate observability for Kubernetes and modern cloud-native applications.
Nov 14, 2019   |  By Pontus Rydin
Prometheus has become something of a de-facto standard for how to start monitoring Kubernetes. There are good reasons for this: It’s open source, freely available and embraced by the Cloud Native Computing Foundation (CNCF). Also, Prometheus was designed to handle the highly ephemeral nature of Kubernetes workloads. This has propelled Prometheus to a position as the obvious choice for anyone initially wanting to monitor Kubernetes.
Nov 12, 2019   |  By Han Zhang
Distributed tracing is a critical piece of application observability. But instrumenting your applications with traces is not always easy. Whether you are an SRE or a developer, you need application observability. But you might not prefer to instrument code. That is where the Wavefront Tracing Agent for Java comes in handy, as it provides application observability without needing any code change.
Oct 29, 2019   |  By Howard Yoo
External linking helps engineering teams connect Wavefront to logging tools such as vRealize Log Insight, ELK, or Splunk. For example, when you have received alerts and see them in Wavefront, and then want to investigate them further by drilling down into logs, you can quickly do that using the Wavefront External Links feature.
Sep 10, 2019   |  By Wavefront
There are many options for tracing, and various different architectures to implement. Understanding how to interpret and use the tracing data to optimize the application is not well understood by many.
Sep 6, 2019   |  By Wavefront
Clement Pang of VMware with Dejan Deklich and Edgar Nidome of 8×8, chat following their breakout session at VMworld 2019.
Aug 22, 2019   |  By Wavefront
Manu Mathew, Senior Manager of Performance Engineering at Secureworks, discusses how Secureworks uses Wavefront.
Jul 19, 2019   |  By Wavefront
Join us for a live demo and see how Wavefront metrics monitoring and analytics is used for trending, anomaly detection, and troubleshooting. We'll also preview our free, point-and-click integrations, as well as new features. The session will end with a Q&A.
Jul 19, 2019   |  By Wavefront
Join us for a live demo and see how Wavefront metrics monitoring and analytics is used for trending, anomaly detection, and troubleshooting. We'll also preview our free, point-and-click integrations, as well as new features. The session will end with a Q&A.
Jul 19, 2019   |  By Wavefront
Join us for a live demo and see how Wavefront metrics monitoring and analytics is used for trending, anomaly detection, and troubleshooting. We'll also preview our free, point-and-click integrations, as well as new features. The session will end with a Q&A.
Sep 14, 2018   |  By Wavefront
Modern highly distributed cloud application architectures require a modern monitoring and analytics approach. Find out why SaaS leaders such as Workday, Intuit, Box, and Groupon are choosing metric analytics to gain real-time insight into the performance of their critical services.
Sep 1, 2018   |  By Wavefront
Managing the performance of distributed cloud applications at scale requires a modern monitoring approach. Should you rely on logs or metrics instrumentation to monitor them? This guide will help you select the best analytics approach for your cloud application stack.
Aug 1, 2018   |  By Wavefront
Containers help you to move faster with application innovation. But they also create monitoring complexity due to their short lifespan, highly dynamic nature, and lean functionality. Read this eBook to get best practices for container monitoring. You will also discover Wavefront's out-of-the-box monitoring suite for Docker, Kubernetes, AWS, and more. Finally, find out how Wavefront customers monitor their containerized applications in production.
Jul 1, 2018   |  By Wavefront
In the dynamic world of public clouds with many services, scaling your cloud-native applications can be challenging. When choosing a monitoring platform for their cloud applications, DevOps and developer teams must look for characteristics that reflect the nature of running code on a public cloud: speed, flexibility, and scalability.

VMware Tanzu Observability by Wavefront is an enterprise-grade observability as a service and analytics platform which lets you visualize, query and alert over data from across your stack (infrastructure, network, cloud, containers, custom app metrics, business KPI, etc.). On top, we provide out-of-the-box solutions for key monitoring use cases, including pre-built integrations and dashboards to make it quick and easy to pull in metrics and start seeing insights.

Tanzu Observability is the ultimate metrics monitoring service for cloud and modern application environments. Its observability and analytics tools enable DevOps functions at SaaS companies where power, scale, performance, and reliability are essential to their business.

The Tanzu Observability advantage for DevOps and Developer teams:

  • Analytics Driven: Automate seeing anomalies faster, prevent them from happening again.
  • Hyper Performance: Speed through millions of data points per second, analyze everything with complete data history.
  • Real-Time Response: Capture all your data instantaneously, perform analytics in seconds.
  • Full Stack Correlation: Monitor your architecture from top to bottom, deliver metrics that drive the business.
  • Enterprise Scale: Share visibility across hundreds of engineers, with centralized policy control and oversight.
  • Metrics-As-A-Service: Always on, maintenance-free monitoring, so you can focus on other business.