October included six new releases and hotfixes, providing new functionality and greater stability to Ninja users. 5.3.6, the largest release, included major new functionality for endpoint management, patch management, and ticketing while reducing setup friction for new customers.
At ObservabilityCON in New York City today, we announced a new open source backend for continuous profiling data: Grafana Phlare. We are excited to share this horizontally scalable, highly available database with the open source community — along with a new flame graph panel for visualizing profiling data in Grafana — to help you use continuous profiling to understand your application performance and optimize your infrastructure spend.
ObservabilityCON 2022 is taking place today with a host of exciting announcements, from new OSS projects, partnerships, and integrations to the latest easy-to-use features in the Grafana LGTM stack. “As an OSS company, we prioritize interoperability. The big tent is at the heart of everything we do, and Grafana is at the heart of the wider ecosystem,” says Grafana Labs Co-founder and CEO Raj Dutt.
Today, during the ObservabilityCon 2022 keynote session, we announced a new open source project for frontend application observability, Grafana Faro. The project is launching with a highly configurable web SDK that instruments web applications to capture observability signals. This frontend telemetry can then be correlated with backend and infrastructure data for seamless, full-stack observability. There’s supposed to be a video here, but for some reason there isn’t.
Running network operations today is more complicated than ever before. Networks are growing in size and complexity due to modern network architecture adoption, but organizations are not hiring more staff to compensate for this increased complexity and demand. The prevailing mentality seems to be to do more with what you have.
The InfluxDB platform has evolved a lot over the past decade. But with every innovation we’ve added to the platform, the focus behind our efforts has remained the same: Build cool stuff for people who build cool stuff. What we mean by this is we want to make it incredibly easy for users to build valuable applications with their time series data. We do that by offering a wide range of tools, features, and resources that meet builders on their terms.
Business organizations that want to save money and be competitive take into consideration the time costs associated with investments in new technologies. Will the efficiency gains translate to a rapid return on investment? Will users embrace the change and be more productive? Or will those investments be a hassle to employees and result in time-wasting workarounds and a fallback to inefficient, manual processes?
With serverless and containerized applications becoming a norm, workloads and integrations are spread across multiple cloud environments. As these apps become increasingly more distributed, monitoring also becomes more complicated with siloed and incomplete telemetry. This is where distributed tracing brings great value. It enables end-to-end visibility in your modern and complex application.
As manufacturing operational technology (OT) ecosystems grow more connected and complex, they become vulnerable to cyberattacks. In fact, the manufacturing sector was the most attacked industry in the world in 2021, according to IBM’s X-Force Threat Intelligence Index 2022. Manufacturing surpassed finance and insurance in the number of cyberattacks for the first time in five years. A large part of the industry’s vulnerability is due to a lack of visibility.
