Operations | Monitoring | ITSM | DevOps | Cloud

We are happy to announce that Graylog v2.5 is now available. This release includes several new features, including support for Elasticsearch 6.x, along with numerous bug fixes.

Investing in a log analysis tool provides many benefits: it saves time needed to detect and troubleshoot a problem, reduces churn by providing a better user experience, and improves system security. There is a wide scope of use cases for log analysis - from tackling security and performance issues head-on to enhancing the quality of your services. What are some of the most common use cases for log file analysis?

LogDNA today announced a new offering that enables developers to troubleshoot coding bugs and quickly fix development errors in applications, potentially saving businesses millions of dollars in development hours, downtime and associated revenue loss. IBM Log Analysis with LogDNA integrates LogDNA services to allow developers to aggregate all their log data across applications in the IBM Cloud.

Elastic Stack 6.5 is out! Every new version of the Elastic Stack is packed with new features and updates, and as always, I’m happy to dive a bit deeper into the new release to provide our readers with a wrap up of what’s new. Interestingly enough, and as reflected in the announcements surrounding this release, this release is all about Kibana. That’s not to say the other components in the stack were left out – to the contrary, and I will cover them all, don’t you worry.

Today at Amazon Web Services (AWS) re:Invent we announced some new applications and integrations with popular AWS services, including the newly-released AWS Security Hub, AWS WAF and AWS Aurora for MySQL and PostgresSQL.

Website performance is a burning issue that matters to any IT professional who is responsible for the company’s website. Access logs performance analysis is used for analyzing all access logs for website performance: slow page load time, most frequent web pages and their errors, large web pages issues and more.

With an Access logs viewer, you can search and filter for specific messages, analyze them and improve your website performance and users experience.

In the digital era, we need to track and record all of our data at all times. From a user logging into the dashboard to database queries, JavaScript errors, and website traffic, everything that matters is recorded in a log. You name it, and with due probability, you already have time-stamped documentation of all the events saved somewhere in the form of a log.

Every year, we take time out of our everyday activities to join thousands of techies just like us for the biggest event of the season–AWS re:Invent. For one week at the end of November, industry leaders gather in Las Vegas to learn about new technologies from AWS as well as other partners in the cloud, DevOps, and IT spaces. The new technology, innovative ideas, and smart, ambitious people we have met over the past few years have been priceless for all of us at Logz.io.

One of the major developments in software design and delivery over the last few years has been a movement away from monolith applications towards microservices. One of the sticking points I’ve seen on numerous microservice applications is logging. There are some unique challenges with microservice logging that need to be addressed. In this article, we’ll look at how we can make logging in a microservice as painless as in a monolith.