Operations | Monitoring | ITSM | DevOps | Cloud

Over my 20+ year career in enterprise technology, I've witnessed firsthand how powerful partner ecosystems can transform businesses. I've seen patterns repeat themselves time and time again: companies that build strong partner networks consistently outperform those that go it alone. Partners have been and always will be instrumental in scaling brand awareness, delivering exceptional customer value, and driving mutual growth.

After two decades leading marketing teams in enterprise software, particularly in IT and cybersecurity, you develop a sixth sense for transformative technologies. As I've watched security and observability data volumes compound at an alarming rate every 2-3 years, one thing has become crystal clear: enterprises are facing an unprecedented data crisis that demands an intelligent, autonomous solution.

Security data collection is the foundation of Splunk Enterprise Security (ES), but there are several challenges that organizations face when gathering and preparing data for effective analysis. These issues can impact the accuracy, efficiency, and value of the security insights derived from Splunk ES. These challenges can result in blind spots, inefficiencies, and inaccurate detection.

Today, we’re incredibly excited to share a major milestone in Observo AI's journey: we've raised $15 million in seed funding, led by two of the most respected venture capital firms in the tech world – Felicis and Lightspeed Venture Partners.

It’s 3:17 AM. Your phone is buzzing with Slack notifications in the on-call channel. The API error rate has spiked to 60%. You crawl to your laptop, SSH into the prod cluster, and you’re buried under terabytes of logs. The noise is overwhelming.

Data fabrics are cohesive data layers that bridge data sources with data consumers, including analytics platforms such as SIEMs. They automate tasks like data ingestion, integration, and curation across diverse data sources, improving the agility and responsiveness of data ecosystems. More specifically, a security data fabric adds additional capabilities, including governance and compliance, security enrichment, and the integration of security events.

The massive growth of observability data isn’t limited to just log data. Metrics are growing just as fast, or faster. Making matters worse, DevOps and Engineering teams aren’t just dealing with the increasing volume of metrics data causing a spike in egress, storage, and compute costs. Many tools also charge by the number of custom metrics they track.

Observo AI is excited to announce that we have partnered with Microsoft and it is now available on the Azure Marketplace. This will make it easier for Azure customers to quickly adopt the AI-Powered Security and Observability Pipeline to help control costs, manage data sprawl, boost productivity, and identify and resolve critical incidents faster. Customers can now deploy Observo AI at speed while benefiting from Azure’s trusted and secure infrastructure, as well as its global commercial footprint.

History is filled with stories of human triumph. One of the most famous such stories is that of John Henry, “The Steel Driving Man.” As the traditional American folk story goes, John Henry and his fellow workers were faced with the arrival of the steam engine, which threatened to replace their manual labor. To prove that human strength and skill could outperform the new technology, John Henry challenged the machine to a contest.