Operations | Monitoring | ITSM | DevOps | Cloud

Software development has evolved into a complex symphony of tools, platforms, and processes. While each new tool promises to solve specific challenges, together they’ve created an unexpected burden on development teams. The very solutions meant to streamline our work have paradoxically become a source of friction. A shocking stat from Gartner reveals the scale of this crisis: developers spend only 10-25% of their time actually writing code.

If you’ve ever experienced choppy audio or video calls, slow website loading, or laggy gaming sessions, chances are you’ve dealt with either latency or jitter issues – or possibly both. These problems plague networks both large and small, from Fortune 500 companies to neighborhood coffee shops offering free WiFi.

Learn how to integrate OpenTelemetry with FastAPI for enhanced observability, including automatic instrumentation, environment variables, and custom exporters.

So, there I was, a newbie to.NET 9.0, Blazor, and Coralogix, standing on the precipice of observability in a world of production bugs and development mysteries. As an Agile enthusiast, I’m well versed in all things “observability” and how it’s a game-changer for root cause analysis, especially in today’s rapid, iterative development cycles. Observability is like getting X-ray vision into your application to understand what’s truly happening based on system outputs.

As businesses increasingly digitize operations, IT systems are evolving into complex, distributed ecosystems. Applications run across multi-cloud environments, microservices power critical processes, and data flows in real time across countless touchpoints. While this transformation drives agility and scalability, it introduces significant challenges: hidden anomalies that can disrupt operations, frustrate users, and damage revenue.

One of StatusGator’s most important cloud service monitoring features is component filtering. Many services have multiple components such as regions, products, or features and not every component may be relevant to you. Our new component filter tags help you quickly identify how many components of a service you’re currently monitoring. This makes it easier to ensure your notifications are focused on what matters most.

We’re always rolling out new ways to make Puppet easier to use and maintain so you can run better infrastructure, ditch toil, save time, and increase ROI — fast. This guide will help you with a few need-to-know time saving tricks that can make starting with Puppet, or continuing to manage Puppet, easier and speedier.

A look at the expanding roles of SREs and the new skills needed: cost management and AI Imagine the CTO walks into your team meeting and drops a bombshell: "We need to cut our cloud costs by 30% this quarter." As the lead SRE, this might cause a strong reaction — isn’t your job about ensuring reliability? When did you become responsible for the company's cloud bill? If you've had a similar experience, you're not alone. The role of site reliability engineers (SREs) is evolving fast.

Complexity rules the day within the world of data systems and pipelines. A goal for any observability practice is to help reduce complexity and give users and administrators a clear view of what’s happening in any system. This is the path to unified observability, a mature system where monitoring and troubleshooting are streamlined. This has been difficult to achieve for many organizations.

Recently I've had the great privilege of working on creating a distributed WordPress deployment that leverages GCP compute and services alongside containers running on the Cycle platform. This blog dives into a bit of the history of why WordPress is difficult to deploy in a distributed way, how we approached it, some really interesting things we found, and finally, the solution we put in place.