Logz.io has pressed hard to align our tracing and metrics analytics capabilities over the past year. And as our technology advances, so does our service. We are announcing Multiple Tracing Accounts with Logz.io Distributed Tracing, aligning it with our logging and metrics tools. Complementing multiple data sources for metrics and logs, Logz users can segment their data according to sources and teams for better organization.

Sumo Logic is a cloud-based log management and analytics service that leverages machine-generated big data to deliver real-time IT insights. We’re excited to share that you can now easily integrate Catchpoint and Sumo Logic, giving you a number of fantastic benefits. The integration involves pushing data from Catchpoint to Sumo Logic using Webhooks and then query the data to build visualizations. Why do we use Webhooks?

Link analysis, which is a data analysis approach used to discover relationships and connections between data elements and entities, has many use cases including cybersecurity, fraud analytics, crime investigations, and finance. In my last post, "Advanced Link Analysis: Part 1 - Solving the Challenge of Information Density," I covered how advanced link analysis can be used to solve the challenge of information density.

Nowadays, most applications we build are composed of microservices and distributed in nature. In such a setup, communication between these microservices is crucial, but can, unfortunately, cause some headaches. The first thing I check when I’m troubleshooting a bug in production is inter-service communication. Having a reliable tool at your disposal to take care of this can reduce a lot of stress. RabbitMQ, a hybrid messaging broker, is one such tool.

Today, we’ll cover some of the ways you might find quite useful in your everyday work. We’ll go through some of the logging best practices in AWS Lambda, and we will explain how and why these ways will simplify your AWS Lambda logging. For more information about similar topics, be sure to visit our blog. Let’s start with the basics (and if you have the basics covered, feel free to skip ahead): How does logging work with AWS Lambda?

With more people working from home, the threat landscape continues to change. Things change daily, and cybersecurity staff needs to change with them to protect information. Threat hunting techniques for an evolving landscape need to tie risk together with log data. Within your environment, there are a few things that you can do to prepare for effective threat hunting. Although none of these is a silver bullet, they can get you better prepared to investigate an alert.

In my first post in the Kubernetes Logging Simplified blog series, I touched on some of the ‘need to know’ concepts and architectures to effectively manage your application logs in Kubernetes – providing steps on how to implement a Cluster-level logging solution to debug and analyze your application workloads. In my second post, I’m going to touch on another signal to keep an eye on: Kubernetes events.

The cold season is hopefully coming to an end, and Spring is here! And just like the changes in the seasons, we have a new SDK release, updated developer docs, and other signs of new growth! It’s a great time to update your apps using the latest SDKs for the latest Splunk Cloud and Splunk Enterprise releases. Plant your session proposal in the .conf21 Call For Speakers! It's also time to prune away some older jQuery and Python versions support. Read on for the latest news.