Alerts, Custom Parsing Beta, and More
Here are a few updates you can look forward to in LogDNA’s log management and analysis features.
The latest News and Information on Log Management, Log Analytics and related technologies.
Here are a few updates you can look forward to in LogDNA’s log management and analysis features.
Over the years, automation has become a key component in the management of the entire software release lifecycle. Automation helps teams get code from development into the hands of users faster and more reliably. While this principle is critical to your source code and continuous integration and delivery processes, it is equally essential to the underlying infrastructure you depend on.
Containers provide a nifty solution to package up applications along with their dependencies, and for the whole encapsulated process to be run on a host system. This technology is undeniably popular due to its ability to allow developers to create flexible, scalable, reliable solutions in a quicker amount of time. It has enabled more freedom in choosing the technology we use in our applications and has brought development and production environments closer to parity.
Sifting through all your logs to find what you need can be challenging—especially during an outage, when time is critical and you’re flooded with WARN and ERROR messages. To help you immediately surface useful information from large volumes of logs, we developed Log Patterns.
This recipe is similar to the previous rsyslog + Redis + Logstash one, except that we’ll use Kafka as a central buffer and connecting point instead of Redis. You’ll have more of the same advantages.
Starting from Elasticsearch 5.0, you’re able to define pipelines within it that process your data, in the same way you’d normally do it with something like Logstash. We decided to take it for a spin and see how this new functionality (called Ingest) compares with Logstash filters in both performance and functionality. Is it worth sending data directly to Elasticsearch or should we keep Logstash?