The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
There’s no doubt that the majority of businesses and organizations would struggle to survive without endpoints. Because endpoints directly contribute to a business’s production and success, ensuring that these devices function at peak performance is a top priority for IT teams and MSPs. However, the number of endpoints an organization uses is skyrocketing, and now the average enterprise has approximately 135,000 endpoint devices in use.
Whoever owns Reliability should define its parameters. But who owns the Reliability of a Product? Engineering? Product Management? Or the Customer success team?
Unlocking the full potential of monitoring through ML integration, anomaly detection, and innovative scoring engines. Machine Learning has been making waves in various industries, but its adoption in the monitoring and observability space has been slower than expected. Many “ML” features remain gimmicky and do not provide actual real world value to users that encourages their further use.