We’re excited to announce that LogDNA’s built-in log parser offers custom parsing, now available in beta. This means you can now use our step-by-step wizard to wrangle non-standard log formats and run custom transformations on your logs, allowing you to easily search and graph log lines that were previously off limits. The best part is, it’s a simple three step process: search, extract, validate… done!

One of the greatest threats to a log management solution is load. As log volume increases, the ability for a solution to process each event decreases. Given enough load, this will result in dropped messages and data loss.

We’re excited to announce the general availability of our new On-Prem, Self-Hosted, and Multi-Cloud logging platforms. Our customers will have the capability to log data in their infrastructure of choice. Whether across multiple public/private clouds or within a customer’s own data center, logs can be viewed through a unified interface while addressing any data locality and performance requirements.

Recently, we held a webinar where Chris Nguyen, our CEO and Co-Founder and Norman Hsieh, our Head of Business Development talked about the ever increasing production of data, the shift from monitoring to observability, and the evolution of production infrastructure into multi-cloud. LogDNA is uniquely positioned to have enabled thousands of customers to gain deep insights into their evolving DevOps infrastructure.

As any business running microservices, containerized applications, networking devices, or multiple servers knows, it’s important to get a centralized log management system that fits your company’s unique needs. The best log management solution should empower your business to gain insights, resolve production issues quickly, streamline your DevOps and IT teams, and allow you to work more efficiently.

What is log monitoring and log analysis? Both are crucial parts of log management and related in many capacities, but by definition, the two actually have different core meanings.

Here are a few updates you can look forward to in LogDNA’s log management and analysis features.

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.

Since its first release in 2007, Splunk quickly became one of the leading log management solutions. Its focus on enterprise grade log analysis and security incident and event management (SIEM) made it the de facto choice for organizations generating large volumes of log files and machine data. But over the past decade, the log management landscape has changed drastically.