Being proactive is one of the key elements of a successful company. We are always seeking ways to help you perform at your best. With this goal in mind, we have been working on enhancements over the past couple of months in our alerting logic. Today, we’re proud to announce another highly anticipated feature from LogDNA: Absence Alerting!
This week we share news about the Azure Data Explorer plugin for Grafana, updates to the GrafanaCon LA speaker list, new functionality added to the polystat panel plugin and more.
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 order. Log search tools require work by the user to transform text strings into fields that are ready for statistical analysis.
What is log file parsing and how does structuring your logs affect parsing efficiency? Learn the difference between structured and unstructured logs, the basics of the JSON log format, what kind of information you can get when you parse log files, and which tools and utilities to use to perform log file parsing.
In part 1 of this series, we tried to outline what data retention is and why it is needed to overcome increasing requirements for various regulatory standards. As detailed, there are some clear guidelines for organizations to take what we called a “data retention approach for compliance”. In this follow up post, outline some specific technological and procedural challenges you might face as well as some practical guidelines and strategies to overcome them.
Having just passed the 10-year anniversary of Malcolm Gladwell’s bestseller “Outliers: The Story of Success“, we thought to mark the occasion by taking a look at outliers and how they relate to success in the business world. Gladwell describes outliers as “those [people] who have been given opportunities — and who have had the strength and presence of mind to seize them.” At Anodot, we’ve also made it our mission to spot outliers, albeit of the data variety.