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Michael Wilde
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Three Ways to Make the Most out of Honeycomb Metrics
A while ago, we added Metrics to our observability platform so teams could easily see system information right next to their application observability data—no tool or team switching required. So how can teams get the most out of metrics in an observability platform? We’re glad you asked! We had this conversation with experts at Heroku. They’ve successfully blended metrics and observability and understand what is most helpful to know. Here are three strategies to maximize the benefits of Honeycomb Metrics.
Surface and Confirm Buggy Patterns in Your Logs Without Slow Search
Incidents happen. What matters is how they’re handled. Most organizations have a strategy in place that starts with log searches—and logs/log searching are great, but log searching is also incredibly time consuming. Today, the goal is to get safer software out the door faster, and that means issues need to be discovered and resolved in the most efficient way possible.
The True Cost of “Search-First” Problem-solving on Your Production Systems
The search-first problem-solving approach—meaning “open up the log search tool” (Splunk, ELK, Loggly, SumoLogic, Scalyr, etc)—is a costly and time-consuming operation during which the true source of a problem is rarely pinpointed in short…