Loggly Blog: How-tos

Building a ChatOps Bot with Slack and Loggly (Part 1)

  What is ChatOps? If you don’t know about ChatOps already, the term ChatOps was coined somewhere between 2010 and 2013 by the team at Github when they were creating HUBOT. If you haven’t heard of ChatOps, don’t worry, there is plenty of information out there on the topic. ChatOps uses a Chatbot, which you […]

Taming the Wolves Behind Monitoring Alerts

Almost 2,500 years ago, an old man named Aesop travelled across villages near the picturesque hills of Greece. Along the way, he shared short stories he had learned from other lands. One such story was that of the shepherd boy who watched a flock of sheep near a village. That boy used to lure innocent […]

What Does the Docker Daemon Log Contain?

There’s a wealth of material on logging in Docker, but most of it is centered around containers and applications. While logging containers is important, it misses out on a key component of the Docker architecture: the Docker daemon. The Docker daemon provides crucial insight into the overall state of your microservice architecture. Container-centric logging methods […]

Better Monitoring Using AWS CloudTrail

If you’re running on AWS, you probably use AWS CloudTrail. AWS CloudTrail logs are important because they provide an audit trail of modifications to and interactions with your AWS-hosted deployments. They provide useful insights for both operational and security-related monitoring. Here’s how the Loggly Application Pack for AWS CloudTrail makes this monitoring easier and more […]

8 Handy Tips to Consider When Logging in JSON

Logging in JSON transforms your logs from raw text lines to a database of fields you can search, filter, and analyze.  This gives you way more power than you would get with only raw logs. Why Use JSON? JSON makes it easier to search and analyze your data. Say this is a portion of your […]

9 Strategies for Faster Live Debug

Debugging a live application can be a real pain, especially if you’re running a microservices architecture with elastic servers or, in the case of Cardinal Peak, software and hardware solutions for a variety of remote and custom devices. In this post, I describe approaches to extracting useful insights out of your Loggly account. Most examples […]

Quick and Easy Monitoring of Amazon ELB

Many high-volume applications and websites depend on Amazon Elastic Load Balancing (ELB) to improve their scalability and fault tolerance. In addition to automatically routing traffic across instances and Availability Zones, Amazon ELB detects unhealthy instances and reroutes traffic to the healthy instances that remain. The Loggly application pack for Classic ELB makes it easier for […]

Why Should I Archive My Logs?

A good log management solution provides a glimpse into the state of a system over a period of time. It can help you identify performance trends, audit security events, and pinpoint periods of high demand. Archiving logs can drive cost savings while allowing you to extend the time frame in which you can use your […]

Using Loggly For Troubleshooting Bugs In Your Code

Troubleshooting errors or exceptions in code is one of our customers’ top use cases. In this video, I go through a troubleshooting process with a hypothetical e-commerce site, where a bug could be costing the company thousands of dollars. We need to fix it fast! Why Use Loggly for Troubleshooting? Troubleshooting with Loggly: Accelerates time […]