blog に戻る

2020年12月07日 著 Sumo Logic

Pondering Dogs and Observability

Observability is arguably the tech buzzword of the year. Whether or not you believe the hype, observability is all about how to ensure overall system health and deliver reliable customer experiences. This is done by observing the system, and when a problem arises, using real-time analytics to quickly help identify the what, where, and why of the problem.

In this video, Sumo Logic co-founder and CTO Christian Beedgen takes a closer look at:

  • Why observability provides the best chance to understand today’s complex systems
  • The creation myth and magic three pillars - logs, metrics and tracing
  • Why fundamentally observability is about reliability

In addition, the video features a live demo of Sumo Logic’s end-to-end observability solution. Check out the full video below.

Complete visibility for DevSecOps

Reduce downtime and move from reactive to proactive monitoring.

Start free trial

部門

スポットライト

Sumo Logic cloud-native SaaS analytics

Build, run, and secure modern applications and cloud infrastructures.

Start free trial

Sumo Logic

More posts by Sumo Logic.

これを読んだ人も楽しんでいます

ブログ

ROI for GenAI: Splunk to Sumo Logic Transformer

Sumo Logic’s Splunk2Sumo Transformer is a Gen AI tool that helps customers migrate Splunk dashboards, saved searches and monitors to Sumo Logic’s Log Analytics Platform at 50% of the cost of manual approaches that do not use AI. Learn how to estimate the economic benefits of Gen AI.

ブログ

A look at Azure monitoring and troubleshooting

Monitor and troubleshoot your Azure environment with Sumo Logic by streaming your high-volume logs from Azure to Sumo Logic and easily alerting on findings.

ブログ

What are the differences between artificial intelligence, machine learning, deep learning and generative AI?

While deep learning, machine learning and artificial intelligence (AI) may seem to be used synonymously, there are clear differences.