If you are moving in the observability circles, chances are that you have heard the phrase “Observability 2.0,” which refers to how we need a new approach to observability. I am incredibly excited about the energy and discussion around a shift to “Observability 2.0,” as we now have a second chance to develop observability the way it was originally envisioned.

Sumo Logic Mo Copilot is a natural language assistant that helps first responders derive insights from logs and resolve issues faster using contextual suggestions and plain English queries. It has been in preview since May 2024 with dozens of customers. Choosing a foundation model was a critical step in its development. Let’s explore our high-level requirements for Copilot, the role of foundation models and the rationale for standardizing on Amazon Bedrock.

Ensuring scalability, performance, and cost-effectiveness is a constant challenge for cloud-native log management and observability. At Sumo Logic, we faced this challenge head-on by transitioning from a stateful, Lucene-based architecture to a completely stateless, Parquet-based architecture. This transformation lets us improve data storage efficiency, streamline operational complexity, and meet the demands of an ever-increasing data scale.

For over a decade, we’ve worked closely with AWS to help our joint customers ensure the health and security of their mission-critical applications. That’s why we’re so excited to have recently renewed our Strategic Collaboration Agreement (SCA) with AWS and to announce five new AWS competencies across multiple industries.

20 years ago, software ate the world. The old ways of monitoring, failing over, or routinely rebooting quickly became inadequate and with a new focus on software excellence, how we monitor and maintain them had to be rethought. Even back then, when new software was released on an annual basis, it was clear that developers and futurists needed to build, inform, and optimize their approach, which required a deeper understanding of the application experience.

As organizations modernize their applications and deliver more complex, cloud-based services, the traditional boundaries between DevOps, SecOps, and ITOps are disappearing. Seamless collaboration between these teams, often referred to as DevSecOps, has become essential for efficiently addressing both reliability and security challenges.

Late last year, Datadog announced something called Flex Logs, a “more affordable” warm storage tier for log data. Designed for high-volume datasets that are infrequently queried and don't require real-time analysis, the Flex Tier offers Datadog Log Management customers a third option for data storage.

At Sumo Logic, we’re committed to helping you scale without breaking your budget. As you may have heard, we recently launched Flex Licensing, a first-of-its-kind economic model that offers free, unlimited log data ingest so different teams can capture and analyze critical data across their enterprise in one place. We’re also committed to tackling related challenges raised by other data sources — like metrics.

You have a business imperative to deliver exceptional customer experiences. Sadly, traditional monitoring and observation methods, which assume predictability, are no longer sufficient.

With all the buzz around ChatGPT and the rapid mainstreaming of generative AI, 2024 was predicted to be the year of AI. While the market certainly talks a lot about AI this year, we’ve yet to see much of it in production environments. Events are a great chance for tech companies to showcase or announce new innovations to the market.