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Monitoring

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

And What About my User Experience?

Monitoring backend signals has been standard practice for years, and tech companies have been alerting their SRE and software engineers when API endpoints are failing. But when you’re alerted about a backend issue, it’s often your end users who are directly affected. Shouldn’t we observe and alert on this user experience issues early on? As frontend monitoring is a newer practice, companies often struggle to identify signals that can help them pinpoint user frustrations or performance problems.

Alberto Gomez joins as CPO of Checkly and Tim Nolet will become Chief Evangelist

Today, I’m thrilled to announce two changes to our leadership team. We at Checkly aim to deliver the best synthetic monitoring platform that allows you to identify and resolve issues 10x faster. I’m proud to have crossed that 1,000-customer mark and aim to enhance your experience even further as we are just getting started and are excited about what technologies like Open Telemetry, Clickhouse and others will enable us to do in the future.

What is an Anomaly? Avoiding False Positives in Watchdog Detected Anomalies

In 2018 Datadog released Watchdog to proactively detect anomalies on your observability data. But what defines an anomaly? How do you avoid false positives? At Datadog Summit London 2024, Nils Bunge, product manager at Datadog, shared the story of the creation of the first Datadog AI feature (Watchdog Alert), what we learned from it and how we applied those lessons to all the added AI functionalities across the years.

Decentralized Monitoring Explained

Users often find themselves puzzled by the concepts of decentralized or distributed monitoring. This confusion is likely due to many monitoring systems claiming distributed capabilities, making it challenging to discern how Netdata stands out. To grasp the distinction, we must delve into the evolution of monitoring systems. When the first monitoring systems were created, about 20-25 years ago, they were built as SNMP collectors.

AI realism (part two)

Emotions are running high about AI technologies. In this 2-parter, I do my best to make a rational case for the state of AI, and how we can respond to it. This is the second part; catch up with part one here. Today, we’ll talk about developing a company culture that thrives on experimentation and unpredictability. I’ll describe the conditions that can keep a product company nimble and healthy during a period of rapid change, enabling it to take advantage of emerging technologies.