Operations | Monitoring | ITSM | DevOps | Cloud

The world of AI and machine learning has evolved at an accelerated pace these past few years, and the advent of ChatGPT, DALL-E, and Stable Diffusion has brought a lot of additional attention to the topic. Being aware of this, Grafana Labs prepared an integration for monitoring one of the most used machine learning model servers available: TensorFlow Serving. TensorFlow Serving is an open source, flexible serving system built to support the use of machine learning models at scale.

The Cribl team just wrapped up the 2023 AWS Summit in Washington, DC, and we were thrilled to spend a few days chatting with public sector organizations looking to gain the freedom and flexibility our products offer.

In this livestream, Jackie McGuire and I discuss the harmful effects of data debt on observability and security teams. Data debt is a pervasive problem that increases costs and produces poor results across observability and security. Simply put — garbage in equals garbage out. We delve into what data debt is and some long term solutions. You can also subscribe to Cribl’s podcast to listen on the go!

Network traffic monitoring has become critical in today's digital age, where businesses rely on various applications and services to operate. As the amount of data transmitted over networks continues to grow exponentially, network administrators must keep a close eye on the traffic to ensure optimal network performance and security. Network administrators must have a deep understanding of packet flows, collection methods, and analytics to ensure that their networks are secure and performing optimally.

In this article, we will see how we can integrate an Azure data source with Graphite and Grafana. This will allow us to monitor metrics from the applications hosted in the Azure cloud on a Grafana dashboard. We will also see how to integrate Azure Active Directory with MetricFire’s Hosted Graphite and Grafana. You don’t need fully functional cloud services running with Azure to understand this article, but it assumes that you have basic familiarity with Azure Cloud.

If you research modern observability solutions to manage multi-cloud and hybrid IT environments, you will inevitably learn about OpenTelemetry (OTEL or OTel). The technology has become so rampant that dev or ops professionals still unaware of it are afraid to ask what it actually means. Fret not, as we’ll describe it for you here.

The rise of Artificial Intelligence in every domain is very apparent, and as a result, the impact of AI on IT operations needs to be comprehended by one and all. AI, or artificial intelligence, is a field of computer science that focuses on developing intelligent machines that can perform tasks that typically require human intelligence and decision-making. But what exactly are IT operations?

IT admins are expected to keep the organization’s network reliable and resilient all while the complexity of today’s networks grows. From adopting hybrid infrastructures and maintaining multi-cloud environments’ security to managing ever-increasing bandwidth demands, enterprise network management is getting more difficult by day.

Today, in Pandora FMS blog, we will continue with the feat of presenting the best features of Pandora FMS 2022-2023. I talk about “continuing” because this article is the second part of a great first episode. If you haven’t read it yet… go ahead, here we’ll be waiting for you, and besides, I’m not in a hurry.

Code instrumentation is an essential practice in modern software development. Not only does it aid in debugging, it ultimately impacts the MTTR (Mean Time to Resolve) for software running in production. With changing software architectures and deployment patterns over the years, approaches to code instrumentation have also undergone a significant shift.