At the start of October, Dinesh Majrekar, CTO, and Mark Boost, CEO at Civo spoke at KubeCrash, about application deployments of old, cloud-native processes of today and edge native deployments of the future. Watch their session below to learn about the challenges we are about to face with an edge-first architecture and what we can do today to be ready. We then took to Detroit for KubeCon + CNC NA 2022 where we hosted an array of talks, workshops, and events.
A few weeks back, I got the chance to sit down with our very own Jordan Perks from the Cribl Customer Success Team. Jordan is an Observability subject matter expert AND knows a thing or two about Cribl Products! After geeking out a bit about data best practices, we started chatting about enabling our customer champions to have different conversations with stakeholders across their organizations. When someone becomes an observability engineer, they step into a much different role.
Both servers and software development use Linux. Today, Linux distributions are used by the vast majority of electronics and embedded systems. Worldwide, Linux servers make up about 90% of all internet servers. Additionally, the Linux kernel is used by around 80% of all smartphones. Today, every system in the world is linked via a network. Information exchange across systems requires network connectivity. Computer networking refers to communication over the internet as well as within a network.
As we all know, Windows is one of the most popular operating systems in the world. It has a dominant share in the desktop computer market, with more than 70% of the machines running the operating system. It makes sense, then, that the Windows integration is also one of the most used and popular integrations in Grafana Cloud.
Modern applications are a web of interdependent services. As applications grow in size and complexity, and as more engineering teams adopt service-based architectures like microservices, this web becomes deeper and denser. Eventually, keeping track of the interdependencies between services becomes a complex and time-consuming task in and of itself. In addition, if any of these dependencies fails, it can have cascading impacts on the rest of your services and on the application as a whole.
Docker is one of the most popular tools for containerization, and several tools have been developed by the open-source community to monitor what happens inside of Docker containers. This guide focuses on one tool specifically: cAdvisor.