They say imitation is the sincerest form of flattery. In the six years since we launched the initial SRE report, we've seen some similarly themed 'reports' jump on the state of site reliability bandwagon. Why? Because the impact and importance of SRE and resilience engineering have resonated across industries, prompting organizations to delve deeper into this vital domain.
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.
Grafana Cloud, our composable observability platform, is billed based on usage. A common question we get is: “How much will it cost to monitor N servers?” Well, the recently expanded Grafana Cloud Free tier includes up to 10,000 active series. To help you understand what that translates to in terms of time series requirements, here’s a rough guide to estimating what you’ll need.
OpenTelemetry (also abbreviated as OTEL) is an increasingly popular open-source observability platform under the Cloud Native Computing Foundation (CNCF), which is currently the most active project in the CNCF after Kubernetes. It was created to establish a unified and vendor-agnostic way for instrumenting, collecting, and exporting telemetry data for your system and application across traces, logs, and metrics.
Drawing synergy from ManageEngine, Zoho Corporation's business IT division, Site24x7 grew steadily to cover all geographies and sectors. We extended observability to cover the entire gamut of the rapidly changing IT infrastructure landscape. Today, Site24x7 is an AI-powered, comprehensive IT monitoring solution with a keen eye on privacy and security.
Welcome to the forefront of virtualization technology, where innovation meets practicality, and the quest for optimal performance is a constant journey. If you’ve been keeping a close eye on developments in this space, you’ll know that Microsoft’s Hyper-V has been making significant strides.
Robotic Process Automation (RPA) and IT Process Automation (ITPA) are today’s big drivers of revolutionizing the way businesses operate – and they’re nowhere near finished. While RPA and ITPA have their significant differences, they share just enough similarities to have successfully helped organizations in multiple industries automate processes, reduce costs, improve accuracy, and deliver better customer experiences.
In today's dynamic banking environment, effective management of technology risk is paramount. The rapid adoption of new digital tools and solutions is exposing banks to a battery of technology threats that can bring down their operations. These growing risks range from cyberattacks and fraud to internal software failures and system misconfigurations—and they have CEOs on alert.
While developing the "new" canonical check feature for elmah.io Uptime Monitoring, I had to parse a website from C# and inspect the DOM. I have been using Html Agility Pack in the past so this was an obvious choice. I also looked at what happened in the space and found that AngleSharp is an excellent alternative. In this blog post, I'll showcase both frameworks to help you get started.
