Once upon a time, we thought “Log everything” was the way to go to ensure we have all the data we needed to identify, troubleshoot, and debug issues. But we soon had new problems: cost, noisiness, and time spent sifting through all that log data. Enter log analysis tools to help refine volumes of log data and differentiate signal from the noise to reduce mental toil to process. Log beast tamed, for now….

Alas though, the log beast came back when microservices meant more data being emitted. We tried the same thing again - analyze and reduce log data, but the volumes are too great for the existing tool set. We need a next generation log management to match modern development. 

So how do I get more value out of my modern logs, beyond brute sampling?

You find a tool that integrates search, analysis, and visualization with an easy-to-use UI built for a variety of purposes. This is where Mezmo’s Log Management comes into play. Mezmo Log Management provides a user-friendly platform with an integrated telemetry pipeline, helping Observability Teams, DevOps, and developers manage, understand, and act on log data in real-time for cost-effective debugging and troubleshooting. 

It allows you to more easily normalize log data, manage cost, keep your data compliant and enables in-stream alerts. This is so you can take corrective action in an easy-to-use platform for search, analysis, and visualization. Ultimately, Mezmo helps you gain control of your data, increase utility of data for a wider variety of purposes, obtain better context of your log data and ultimately take appropriate actions more easily and quickly. 

Let’s break down the features for you: 

1. Ingest logs from anywhere — Mezmo can ingest logs from anywhere, parse, enrich, and analyze these logs in-stream using a telemetry pipeline prior to indexing them. 
2. Data profiling — We leverage our data profiling to understand your logs’ patterns, making it easy to quickly identify opportunities to analyze and optimize data. Make informed decisions about which logs to keep, which to transform and how, and what to discard in order to maximize value and reduce unnecessary costs.
3. Route logs to destinations based on the need — Log analysis for indexing so that you can search during incident investigation and archive for occasional access such as compliance audits. 
4. Search at your fingertips — Find the logs you need to troubleshoot and debug issues in an easy-to-use, self-service UI that doesn’t require any training. 
5. Graphs and Dashboards — Easily create graphs to visualize your data so you can quickly recognize patterns and take appropriate action. 
6. Alerts on data — Whether the data is in-stream or at rest, you can use threshold, change (e.g. volume, errors), and absence alerts to identify problems before your users do and prevent surprise overages. So when a tiny change to a service is deployed, and there is a sudden explosion in log data, you can act quickly. 
7. Route your logs to low-cost storages — Send your logs via telemetry pipeline to cloud storage options like Amazon Web Services, Google Cloud Platform, or Microsoft Azure in just a few clicks so you don’t spend as much on traditional file storage and log analysis

Want to learn more about Mezmo Next Generation Log Management, give us a shout. 

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