Loggly Blog: Responsive Log Management

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 […]

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 […]

SSO for Logs? Federated Identity with Loggly

Federated Identity Supports a DevOps Mindset Log data isn’t necessarily the first things that comes to mind when people talk about DevOps, but it is one of the most important tools you have to get everyone in development and operations on the same page.  If you have been operating a homegrown log management solution that’s hard […]

Lessons Learned from Using Regexes At Scale

Regexes: With Great Power Comes a Great Downside One day, you may find yourself wanting to use regexes to parse a large amount of data. You might even want to build a feature that exposes regexes to your users. Regexes are pretty sweet, and who wouldn’t want to enhance their product with the power of […]

New Ways to Monitor Error and Exception Data

Errors and exceptions happen. It’s not a matter of if or even when; it’s a matter of how many. And in a software development world with faster innovation cycles and continuous delivery, smart DevOps teams need a log management system that proactively monitors for errors and exceptions so they know what’s “normal” and can act […]

Which Components of Your System Should You Log?

The Logging Conundrum Two of the most common questions we get from our users is which components should they log and how should they prioritize the amount of log data to collect. If you’re like most software businesses, you’re probably running a complex system with many components and distributed services. For each component, you should […]

Sending Amazon CloudWatch Logs to Loggly with AWS Lambda

Amazon CloudWatch 101 Amazon CloudWatch from Amazon Web Services (AWS) is a web service for monitoring the performance of other AWS-hosted  resources. For each type of service, Amazon CloudWatch exposes a number of performance counters specific to that service. For example, some performance counters for Amazon EC2 instances include CPU usage, NetworkIn, NetworkOut, and Read […]

Introducing the Enigmatic Logging Handbook

Any software engineer who has worked in a software development team or who has looked at their own code from a year or two (or ten) ago will know what I mean when I say that there are at least as many approaches to logging as there are people who log. Factor in what needs […]

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