It’s no secret that log data is quickly becoming one of the most valuable sources of information within organizations. There are open source, on-premise, and cloud-based solutions to help you glean value from your logs in many different ways.
Largely, organizations use logs for debugging during development, for monitoring and troubleshooting production systems, for security audit trails and forensics, and (more and more) for different business use cases that transcend product management and marketing teams.
I love seeing logs used in untraditional ways, for example:
- How Elon Musk used logs to call out a New York Times journalist after an unfavorable review of the performance of the (at the time) new Model S Telsa. Musk went back to the logs to outline ‘exactly’ what happened during the test drive vs. what was claimed, highlighting the value of maintaining the log level evidence of your systems just in case you ever need it.
- Logs used as simple data structures to build powerful distributed systems. Jay Kreps’ article is a must read for every developer interested in understanding the power of the humble log as a simple data structure for solving complex problems.
Logs continue to be one of the fastest growing data sources at organizations today. For example the largest DB hosted at AWS contains machine-generated statistics on AWS itself.
Log Management’s Ugly Secret
Organizations manage logs similar to how we managed email in the 1990’s.
Organizations are constantly worried about data volumes, exceeding data limits, and incurring unpredictable (and costly) fees. You end up always looking over your shoulder, concerned about your next log management bill, which is almost always based on GB/TB of data you produce.
The constant murmur we hear from organizations is something along the lines of – ‘look don’t get me wrong, we love our logs and would find it very difficult to operate our business without them…. BUT it’s bloody expensive!’
This cost largely comes in two flavors:
- Costs associated with the traditional vendors’ per GB, pay for everything pricing model can become prohibitive as log volumes increase.
- Organizations frustrated with this model who look at open source/roll your own solutions often end up in an even more expensive situation. They are left footing the bill for the infrastructure required to run their internal logging cluster, as well as the developer(s) salary required to build and consistently maintain the solution.
Enter Unlimited Logging – Logentries is to logs as Gmail was to Email
At Logentries we’re moving away from charging organizations per GB for everything they log, and instead, want you to send us ALL your log data and not worry about the cost.
Think about how you felt when Gmail came along and you never had to worry about running out of inbox space – they opened a new chapter in how email as a service was delivered; most certainly for the better. At Logentries we are doing the same for our users with our new Unlimited Logging – send us all your data and don’t worry about it.
You do not necessarily get 2X the value from your logs when your log volumes double.
Value is more aligned with the type of analysis you can perform and the valuable trends you can extract from your data.
How Unlimited Logging Works
At Logentries we have a fundamentally different perspective:
Log Management and analysis should be simple to use and real time:
- You should not need to be a data scientist to work with and understand your logs.
- You should not have to learn a complex search query language to navigate and get value from your logs.
- Analysis should be performed in real time and you shouldn’t have to wait 10 mins to get an alert on an important event that occurred in your system.
At Logentries we have built a technology from more than a decade of research in distributed systems, with a unique pre-processing engine that analyses your data up front, in real time with built-in intelligence, so that you do not need to construct complex search queries. We do the hard work so you don’t have to, and we aim to make your log data analysis quick, painless but still super powerful.
Send as much data as you like:
Our unique pre-processing engine can be used to dynamically route your logs for real time analysis, or alternatively, into cloud storage for on-demand analytics. Generally, an organization will have log data that needs to be analyzed immediately, in real time. But organizations also tend to have a lot of data that MAY need to be analyzed at some point in the future – this is where on-demand analytics comes into play.
Traditionally, logging providers have tried to apply a one-size fits all approach.
All your data gets indexed up front- so that they can charge you more per GB for all the log data indexed. At Logentries we let YOU decide what data you want to analyze right now, and what data you want to analyze at some point in the future – on demand.
We allow you to send as much data as you like to cloud storage, and we only charge you for what you actually ingest into the Logentries service for analysis. This provides a very flexible way for organization to significantly reduce and cap their logging costs without having to worry about log ‘inflation’ as their systems and business grow – as they invariable do.