Though KubeCon North America 2024 has officially come to a close, the CNCF's flagship event has left us buzzing with residual excitement. After all, waving goodbye to a crowd of 9,200+ attendees is never easy—especially with Salt Lake City's snow-capped mountains towering impressively in the background. However, it was our conversations with HAProxy booth visitors that truly stole the show.

Progressive web applications (PWAs) are a modern frontend architecture designed to provide a similar user experience to that of a native iOS, Android, or other platform-specific app. PWAs are built using common web platform technologies—such as, HTML, CSS, and JavaScript—and are intended not only to run in a browser and be accessed from the web, but also to be installed on users’ devices and accessed offline.

We all know that keeping a server clock "on time" is an ongoing problem that computer scientists have wrestled with for decades. Nowadays, most servers keep time using a quartz crystal oscillator that's powered by a CMOS battery. The crystal vibrates at a very precise frequency and that's how it maintains accuracy (cool right). Events like rebooting and power loss can cause the server to abandon its primary clock source and fall back to an OS-level timekeeping system.

Today, EdgeIQ and Canonical announced the release of the EdgeIQ Coda snap and official support of Ubuntu Core on the EdgeIQ Symphony platform. EdgeIQ Symphony helps you simplify and scale workflows for device fleet operations, data consumption and delivery, and application orchestration. Distributing EdgeIQ Coda as a snap brings the power, connectivity, and control of the EdgeIQ Symphony platform to millions of Linux users who can now install this enterprise tool with a single terminal command.

High latency and inflexible bandwidth have a domino effect across your entire business, impacting your productivity and revenue. Here’s how to improve it. When we talk about network latency, we’re referring to more than just the occasional lag or slow loading speed. At scale, the consistency of your network can be the difference between your enterprise making and losing money – and latency is where it all starts.

As Gartner predicts, AI will support up to 70% of performance monitoring and troubleshooting tasks in the next few years. The Logz.io AI Agent helps teams get ahead of this curve today. Too much time spent troubleshooting? You’re not alone. Manual investigation, jumping between dashboards, and piecing together scattered data are time-consuming and frustrating.

Can generative AI help improve IT efficiency? Imagine you’re part of an IT team constantly juggling a growing number of support tickets, system issues, and daily maintenance tasks. It can feel like you’re always playing catch-up. It’s a common challenge: Repetitive tasks and troubleshooting waste valuable time, leaving little room for innovation or strategic improvements. Generative AI (GenAI) for IT provides a solution.

Does your SCOM environment run slow? Do you have too many unwanted alerts? Are you preparing for the upcoming upgrade? Don't worry. These issues are very common and frustrating, but thankfully also solvable.

Since the emergence of the cloud, the DevOps movement, and the rise of microservices, developers have been increasingly responsible for the operation of their software. “You build it, you run it” (YBYR) and “You build it, you operate it” (YBYO) have become common mantras in the software engineering industry. However, there’s a misunderstanding in this statement. Developers should remain focused on building software.

In this blog post, we’ll explore how to build a data pipeline using Kafka, Faust, and InfluxDB to effectively ingest, transform, and store data. We’ll start with an overview of Kafka, a high-performance messaging platform, and Faust, a Python library designed for stream processing, now maintained by the community as Faust-streaming.