What Happened To Nokia? How the Brick Phone Died
Monte Carlo: Establishing Trust through Data Observability
Data observability refers to the ability to collect, measure, and analyse data from various sources in order to understand the current state and behaviour of a system.
This includes monitoring the system's performance, availability, and errors, as well as identifying patterns and anomalies in the data.
By implementing data observability, organisations can gain insights into their systems and make data-driven decisions to improve performance, optimize resources, and reduce costs. Common tools used for data observability include logging, metrics, tracing, and alerting.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Lior Gavish, Co-Founder and CTO at Monte Carlo, to discuss:
- Getting started with data observability
- Observability trends for 2023
- How to implement and common challenges
Join 34,209 IT professionals who already have a head start
Meet the panel
Christina Stathopoulos
Lior Gavish
Recommended Content
Trending Content
Apple’s iPhone Alarm Issue is Keeping Users Snoozing
Is TikTok Safe? How the Viral Video-Sharing App Uses Your Data
Leadership powerhouse Claire Williams OBE reveals how to navigate change and develop a strong team culture at Infosecurity Europe 2024
Qantas App Issue Exposes Thousands of Passengers' Flight Data
What is Data Center Infrastructure Management (DCIM)? A Definitive Guide
UK to Ban ‘12345’ Passwords in Smart Device Security Crackdown