At LogDNA, we’re all about speed. We need to ingest, parse, index, and archive several terabytes of data per second. To reach these speeds, we need to find and implement innovative solutions for optimizing all steps of our pipeline, especially when it comes to storing data.

Stan Lee believed in the power of strength in numbers, that a group working together can create a force so powerful it’s unstoppable; from “X-Men” to “Avengers”, these teams had a pioneering spirit, heroic work ethics, and group thinking that surpasses individual brainpower almost every time. Today marks that day when the LogDNA superhero team becomes even stronger. I’m excited to announce that we have closed our Series B round of financing.

The EU General Data Protection Regulation (GDPR) was authored in 2016 and became applicable on May 25th of 2018. You can read the regulation in its entirety in this PDF. If you have legal questions about GDPR and how it applies to your organization, you should seek the advice of a professional who is familiar with the regulation.

LogDNA today announced a new offering that enables developers to troubleshoot coding bugs and quickly fix development errors in applications, potentially saving businesses millions of dollars in development hours, downtime and associated revenue loss. IBM Log Analysis with LogDNA integrates LogDNA services to allow developers to aggregate all their log data across applications in the IBM Cloud.

Organizations that handle logging at scale eventually run into the same problem: too many events are being generated, and logging components can’t keep up. Even with persistent queues and other mitigating features enabled, there’s simply not enough of a buffer between log generators and log ingesters to handle the volume of log lines coming in.

I hosted a webinar where I covered why logging is important, how to choose a logging provider. And then shared our experience of setting up logging on Kubernetes containers, the Kubernetes logging framework and the logging best practices we’ve implemented internally and supported our customers who run Kubernetes in production.

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.