We’re all collectively trying to define observability (“o11y,” pronounced “olly”) these days, and, as Honeycomb is sometimes described as an event-based observability product, trying to define all the other words that go around o11y at the same time.

Getting the right information at the right time can be a difficult task in large corporate IT infrastructures. Whether you are dealing with a security issue or an operational outage, the right data is key to prevent further breakdowns. With central log management, security analysts or IT operators have a single place to access server log data. But what happens if the one log file that is urgently needed is not collected by the system?

The AWS marketplace gives users access to a large variety of SaaS and API products that can be easily found, subscribed to and used. One of the biggest advantages for users is the ability to benefit from an easier procurement and payment process — users can use their existing paying terms with AWS, and unify billing across all the AWS services they are consuming, including those offered in the marketplace. Logz.io is now available on the AWS SaaS Marketplace.

Earlier this year, we showed you how to monitor Amazon Web Services Elastic Load Balancer (AWS ELB) with Cloudwatch. This piece is a follow up to that, and will focus on Classic Load Balancers.

Welcome to part two of a three-part series on trend analysis of log event data. Today, we will explore how to perform, using Graylog, a few of the types of trend analysis discussed previously.

BOSTON and TEL AVIV, June 13, 2018 — Logz.io, the leading provider of AI-powered log analytics, releases a specialized Docker Logging Plugin, enabling users to easily ship container logs to Logz.io. The Docker Logging Plugin was created to relieve many of the common issues developers experience when shipping container logs such as complex configuration, accidental pausing of container shipments, and potential loss of data.

This article explores integrating Google Pub/Sub with the world’s most popular open source log analysis platform — the ELK Stack, for deeper analysis and investigation.