Category: Zebrium

We believe the future of monitoring, especially for platforms like Kubernetes, is truly autonomous. Cloud-native applications are increasingly distributed, evolving faster, and failing in new ways, making it harder to monitor, troubleshoot and resolve incidents. Traditional approaches such as dashboards, carefully tuned alert rules, and searches through logs are reactive and time intensive, hurting productivity,… Continue reading Anomaly Detection as a Foundation of Autonomous Monitoring

Datadog is one of the most popular observability platforms today and offers a rich set of capabilities including monitoring, tracing, log management, as well as machine learning (ML) features that help detect outliers. One of its most interesting feature sets falls under the Watchdog umbrella. Watchdog Root Cause Analysis Watchdog automatically detects outliers in metrics… Continue reading Zebrium RCaaS: A Natural Evolution From Datadog Watchdog Insights Log Anomaly Detection

There’s a good reason Datadog is one of the most popular monitoring solutions available. The power of the platform is summed up in the tagline, “See inside any stack, any app, at any scale, anywhere” and explained in this chart: “Datadog brings together end-to-end traces, metrics, and logs to make your applications, infrastructure, and third-party… Continue reading Using Datadog For Observability? Speed up Troubleshooting with Zebrium

Application monitoring is experiencing a sea change. You can feel it as vendors rush to include the phrase “root cause” in their marketing boilerplate. Common solutions enhance telemetry collection and streamline workflows, but that’s not enough anymore. Autonomous troubleshooting is becoming a critical (but largely absent) capability for meeting SLOs, while at the same time,… Continue reading Observability: It’s Time to Automate the Observer

If you are a New Relic user, you’re likely using New Relic to monitor your environment, detect problems, and troubleshoot them when they occur. But let’s consider exactly what that entails and describe a way to make this entire process much quicker. Imagine that the dashboards used to monitor your application suddenly show a “blip”.… Continue reading Using New Relic For Observability? Speed up Troubleshooting with Zebrium

The Elastic Stack (often called ELK) is one of the most popular observability platforms in use today. It lets you collect metrics, traces, and logs and visualize them in one Kibana dashboard. You can set alerts for outliers, drill down into your dashboards and search through your logs. But there are limitations. What happens when… Continue reading Using the Elastic Stack (ELK) For Observability? Here’s How to Speed Up Troubleshooting

The Cisco Technical Assistance Center (TAC) has over 11,000 engineers handling 2.2 million Service Requests (analogous to incidents or support cases) a year. Although 44% of them are resolved in one day or less, many take longer because they involve log analysis to determine the root cause. This not only impacts the time a case remains… Continue reading How Cisco uses Zebrium ML to Analyze Logs for Root Cause