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Email newsletters are a great way to stay current on what’s happening in the world of programming and to learn about tools and best practices for your specific programming language. Curated by experts, newsletters bring the best, most timely information out there right to your inbox, so you can quickly digest and get back to work. Here are some of our favorites at Loggly. HTML/CSS HTML5 Weekly A w
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Node provides an easily extensible logging system, allowing you to control which messages get logged and to where they are output. Additionally, it has good support for structured logging using JSON. JSON allows more advanced logging patterns such as recording data fields for analysis and extending log objects to track complex call graphs. We’ll give examples for each of these in the sections belo
A Story about How Just a Few Characters Can Make Such a Big Difference in Performance Regular expressions are incantations that we developers wield mightily when the time calls. Yet, do we always wield them deftly? Regular expressions are a delicate and precise language. They are crafted with careful deliberation into powerful forces that level text like a perfectly thrown bowling ball, knocking o
With Hypertext Transfer Protocol aka HTTP status codes, the first digit of the code indicates one of five classes of responses. HTTP clients must at least recognize these five classes: The first class of codes is informational, indicating a provisional response while processing continues. The second class of status codes communicates that the client’s request was received and processed successfull
Aaron Maxwell is author of Powerful Python. Exceptions happen. And as developers, we simply have to deal with them. Even when writing software to help us find burritos. Wait, I’m getting ahead of myself… we’ll come back to that. As I was saying: How we deal with exceptions depends on the language. And for software operating at scale, logging is one of the most powerful, valuable tools we have for
Docker is a fast-growing platform for distributing your applications. Thousands of companies are now using Docker to shorten their release cycles and implement continuous delivery because its containers isolate dependencies and make applications easier to maintain. Loggly’s new Docker support is very timely because there’s a lot of excitement out there right now: Using #Docker and #AWS? You are in
The key function of our log management service is to process massive amounts of log data from a wide variety of sources, parsing and indexing it to make it ready for analysis and monitoring in near real-time. The first entry point to Loggly’s big data ingestion pipeline is what we call our collectors. (You can learn more about the whole pipeline in this recent post.) Loggly Collectors Perform One
The Loggly service utilizes Elasticsearch (ES) as the search engine underneath a lot of our core functionality. As Jon Gifford explained in his recent post on Elasticsearch vs Solr, log management imposes some tough requirements on search technology. To boil it down, it must be able to: Reliably perform near real-time indexing at huge scale – in our case, more than 100,000 log events per second Si
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