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The latest News and Information on Log Management, Log Analytics and related technologies.

Finding the Bug in the Haystack with Machine Learning: Logz.io Exceptions in Kibana

Logz.io is releasing its AI-powered Exceptions, a revamped version of our Application Insights, fully embedded in your Kibana Discover experience, to boost your troubleshooting experience and help you find bugs in the log haystack.

The importance of metadata in your Kubernetes observability initiatives

Kubernetes is a popular container orchestration system at the heart of the Cloud Native Computing Foundation projects. It automates the deployment, lifecycle, and operations of containers, containerized applications, and "pods," which are groups of one or more containers. The platform itself, along with each of these workloads, may generate event data. There are different kinds of data associated with these processes.

Introducing Inputs Data Manager on Splunk Cloud

Splunk Cloud’s ecosystem of apps and technical add-ons boasts a comprehensive set of input sources that enrich customer data insights. Many of these inputs reside in Cloud contexts, such as AWS, Salesforce, Azure, GCP, and many others. The Inputs Data Manager was introduced to aid the ingestion of these cloud data sources. As a result, in many cases, customers no longer need to host their own infrastructure to run scripted and modular inputs.

Troubleshooting PostgreSQL: How to Use Logs and Metrics to Fix Slow Queries

Imagine some users complaining that querying PostgreSQL is slow (this never happened right?), and we have to troubleshoot this problem. It could be one of two things: I would normally first check on the environment, specifically PostgreSQL metrics over time. Such monitoring shows if the CPU is too high or how many disk reads were buffer reads. PostgreSQL logs also give information about the environment, such as how many statements were run and if any errors occurred.

Insights from the 5th annual Continuous Intelligence Report

For five years, Sumo Logic has created the Continuous Intelligence Report on the state of modern apps and DevSecOps. New to this year’s report are unique insights into how enterprises are adapting to the COVID-19 pandemic— particularly in terms of security threats. Customers use Sumo Logic to manage their production apps and services, and this report provides a reflection of overall trends in technology adoption across entire industries.

7 High-Risk Events to Monitor Under GDPR: Lessons Learned from the ICO's BA Penalty Notice

Hello Security Ninjas, Today's IT world is complex and can be challenging for security operations teams. Nowadays, more apps are being integrated and interconnected than ever before. Cloud services and SaaS solutions purchased all throughout the organization outside of the IT department add even more complexity. Communicating to application and service owners the kind of activities that need to be logged and sent to the SOC can be a daunting task.

How LM Logs Makes Data Meaningful

Before I get started on how excited I am to see LogicMonitor launching a logging product, here’s a little background information. This blog is probably a blast from the past for many longtime LM employees and customers. I served at the company for over seven years, starting from back when it was just a few of us trying to see if a SaaS monitoring product would be accepted in the marketplace (while seemingly crazy to say now, SaaS was a tough sell back in 2011).

Highlight Critical Security Attacks with Logz.io's New Alerts Correlation

The ever-evolving cloud-native landscape creates constantly changing attack surfaces. As a result, teams implement a whole suite of security tools to identify large varieties of vulnerabilities and attacks, as well as monitor more logs than ever to find malicious activity. But monitoring so much information can cause a barrage of notifications and alerts. Even if you’re identifying real security threats, it can be impossible to know where to start and where to focus.