Sematext provides a single pane of glass and machine learning powered alerts for logs, metrics, traces and digital user experience data. The new Sematext agent is fully Docker Engine and Kubernetes-aware. (Re)written in Go, it has a minimal memory and CPU footprint. It also collects Kubernetes metrics in the most optimal fashion possible.

To gain a better understanding of the adoption and usage of machine data in Europe, Sumo Logic commissioned 451 Research to survey 250 executives across the UK, Sweden, the Netherlands and Germany, and to compare this data with a previous survey of U.S. respondents that were asked the same questions. The research set out to answer a number of questions, including: Is machine data in fact an important source of fuel in the analytics economy?

Sematext provides a single pane of glass and machine learning powered alerts for logs, metrics, traces and user experience data. Sematext Cloud provides advanced monitoring, logging and tracing for all Docker platforms such as Docker EE, Kubernetes, GKE, AWS ECS, and IBM Cloud. Sematext’s new monitoring agent leverages the powerful eBPF Linux kernel observability functionality and uses the Kubernetes API to enrich the container and cluster level metrics.

Logagent is a modern, open-source, light-weight data shipper with out of the box and extensible log parsing, on-disk buffering, secure transport and bulk indexing to Elasticsearch and Sematext Cloud. Its low memory footprint and low CPU overhead make it suitable for deploying on edge nodes and devices, while its ability to parse and structure logs makes it a great Logstash alternative.

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.

The EU General Data Protection Regulation (GDPR) was authored in 2016 and became applicable on May 25th of 2018. You can read the regulation in its entirety in this PDF. If you have legal questions about GDPR and how it applies to your organization, you should seek the advice of a professional who is familiar with the regulation.

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.

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.