Regardless of what language and framework you use, proper logging is crucial to web development. Logging is key when it comes to debugging and performance monitoring. Knowing how to properly use logging frameworks is an essential part of creating high quality software that is easy to debug.
Today we are releasing Graylog v2.5.1 to fix a few bugs. Many thanks to our community for reporting issues and contributing fixes!
Observing modern applications is challenging. Microservices allow for applications that are not only more distributed but are made up of a number of different languages, frameworks, and backend services. DevOps teams have far greater flexibility in where and how they deploy applications,but when it comes time to collect logs, this flexibility can quickly become a hurdle.
A massive data breach at Marriott and Starwood Hotels and Resorts has put the General Data Protection Regulation (GDPR) back in the spotlight. As the hotel chain faces record fines under the GDPR, privacy experts are again extolling the importance of secure log management practices to avoid suffering a similar fate as Starwood.
At Honeycomb, we are frequently asked how we compare to what else is out there. Do these other tools offer observability? Do I need them all? What’s important? Metrics? Logs? What’s the best way to monitor application performance?
What a year this has been for Logz.io! It’s been an event-packed year for both our users and our community, with a myriad of new capabilities and product features rolled out one after the other. We’ve done the best to update you on the major new additions and have also added a What’s New feature within the UI itself to make sure you don’t miss on the new goodies being introduced.
This year, at Sumo Logic’s third annual user conference, Illuminate 2018, we presented Sumo Logic Notebooks as a way to do data science within the Sumo Logic platform. Sumo Logic Notebooks integrate Sumo Logic data, data science notebooks and common machine learning frameworks.
KubeCon + CloudNativeCon North America 2018 was an incredible event. We had many exciting announcements – LogDNA’s new partnership with IBM Cloud, our recent round of funding, as well as great conversations, product demos, fun giveaways, and even surprise gifts for loyal customers, our booth was jam packed.
During our Activate presentation, we talked about how to do query expansion by dynamically generating synonyms. Instead of statically defining synonyms lists, we showed a demo of how you could use word2vec to derive synonyms from a dataset. Before we start, check out a useful Solr Cheat Sheets to guide you through Solr and help boost your productivity and save time.
Logging is a data collection method that stores pieces of information about the events that take place in a computer system. There are different kinds of log files based on the kind of information they contain, the events that trigger log creation, and several other factors. This post focuses on log files created by the three main operating systems--Windows, Mac, and Linux, and on the main differences in the ways to access and read log files for each OS.
