After successfully implementing a conditional evaluation engine into Runbooks, we started looking at other places in FireHydrant that would be improved with this engine. After hearing a lot of feedback from you, we’ve implemented conditions into our Analytics page. Let’s dive in and see what new things are possible with this new filtering.
Feb. 25, 2021 – DFI and Canonical signed the Ubuntu IoT Hardware Certification Partner Program. DFI is the world’s first industrial computer manufacturer to join the program aimed at offering Ubuntu-certified IoT hardware ready for the over-the-air software update. The online update mechanism of and the authorized DFI online application store combines with DFI’s products’ application flexibility, to reduce software and hardware development time to deploy new services.
Dashbird now scans your serverless infrastructure for industry best practices. It’s the antidote for chaos. We’re excited to introduce the Dashbird Well-Architected Insights – a continuous insights scanner combined with Well-Architected reports. The new feature provides serverless developers with insights and recommendations to continually improve their applications and keep them secure, compliant, optimized, and efficient.
Let’s check out together the new features and improvements for Pandora FMS new release: Pandora FMS 752.
“On Tuesday, we announced some big news: LogicMonitor has acquired Airbrake — a developer-centric application error and performance monitoring platform. This acquisition represents the latest step in our company’s journey towards becoming an end-to-end infrastructure monitoring and observability platform. As part of the acquisition, I am thrilled to welcome the Airbrake team into the fold!
With the recent release of Netreo On-prem v12.2.26, your premiere solution for full-stack IT management and AIOps is even better! Your latest release includes powerful new features and enhancements that simplify IT management with a single source of truth about the status of your entire infrastructure.
AI and Machine Learning (ML) are key priorities for enterprises, with a recent survey showing that 72% of CIOs expect to be heavy or moderate users of the technology. Unfortunately, other research has found that the vast majority—87%—of AI projects never make it into production. And even those that do often take 90 days or more to get there. Why this disconnect between intent and outcome? What are the roadblocks to enterprise ML? And what can be done about them?
Today, I’m excited to announce the contribution of the sysdig kernel module, eBPF probe, and libraries to the Cloud Native Computing Foundation. The source code of these components will move into the Falco organization and be hosted in the falcosecurity github repository. These components are at the base of Falco, the CNCF tool for runtime security and de facto standard for threat detection in the cloud.
