What is a Data Dead Zone?

Being protected in the digital age means having access to all your data and using it to detect intruders and crashes immediately when they happen. But some traditional solutions fail to give access data until minutes after it comes in and may charge you too much to capture all of your data. If you’re using one of these, you may be trapped in a Data Dead Zone — a place where you don’t have all the data you need to answer your business or security questions.


5 Surefire Ways to Improve Your Product Reliability with Logging and Automation

In the fast-moving world of software development, as your product and organization grow and evolve, there are almost always competing priorities. Zeroing in on what is most important to your business in order to take it to the next level can at times seem like a non-stop process of trial and error. Oftentimes the customer who screams the loudest becomes a priority and gets the most focus.


Chaos engineering + monitoring, part 2: for starters

Oh man, did I get ahead of myself in my last post! I started chatting tools, and I realize now that I really should have been talking more about why I’m using Sensu and Gremlin. But it didn’t occur to me until last year at Monitorama. John Allspaw gave the keynote talk (Taking Human Performance Seriously). While you can watch the talk here, I’ll highlight a few points...


Streaming live data is the heart of observability

As a security engineer working on the core team at Humio, I focus on making Humio a powerful part of the security stack for our customers. I have a passion for cybersecurity, and like a lot of our customers, I love breaking stuff in the most unexpected ways so I can fix them. For security, much of the power of Humio comes from its ability to ingest live streaming data and make it immediately available to update alerts, visualizations, and perform queries.


Why Do I Need an O11y platform?

Welcome to the beginning of our observability journey. It can be challenging to keep up with new philosophies and vocabulary when our day jobs so rarely incorporate them. Then suddenly, someone in your organization hears that observability (or, O11y, if you will) is important and we have to figure it out — fast. So why do we really need an observability platform?


3 cool tech tapas we found at Cisco Live Europe

I love traveling to Barcelona for conferences. Between Gaudi’s architecture and tech architectures, there’s really not much more I can ask for. Walking into Cisco Live!, the first thing I encountered was the huge indoor fountain called the “Rain Wall”, which was built to raise awareness and celebrate Cisco’s Corporate Social Responsibility program.


Building a Modern Observability Stack with Garland, Corelight, and Humio

In its most basic form, data travels across the internet in packets — each carrying a maximum of 1,500 bytes — until they reach a pre-determined destination. As packets arrive, the network receiving the data assembles the packets like a puzzle, recreating the message. Today, data transmission involves unprecedented volumes of data at increasing speeds.


A Step Towards Observability with Lambda Destinations

If we are to loosely extrapolate the well-known Chinese proverb, “a journey of a thousand miles starts with a single step”, we can build the story of how AWS Lambda Functions has matured on its journey to an ideal serverless solution. The absolute optimization of serverless, where all known barriers are overcome, may still be far, but AWS has been industriously taking the steps to this goal. One of the latest being AWS Lambda Destinations.