Operations | Monitoring | ITSM | DevOps | Cloud

How I fixed my brutal TTFB

Recently, I improved all my homepage Core Web Vitals by focusing on improving just one metric: the Time to First Byte (TTFB). All it took was two small changes to how data is fetched to reduce the p75 TTFB from 3.46s to just 704ms. In this post I’ll explain how I found the issues, what I did to fix them, and the important decisions I made along the way. (And don’t worry, I’ll break down “p75” and “TTFB”, too!)

What is a domain name? How do domain names work?

A domain name is a unique address used to access a website, like google.com or wikipedia.org. It's a string of text that maps to an IP address, which is the numerical label assigned to each device connected to the internet. Domain names are used to identify one or more IP addresses, making it easier for people to remember and access websites without memorizing complex numbers.

Turbo360 and Contica AB Join Forces to Revolutionize Azure Management in Sweden

We’re excited to share some thrilling news with our community! Turbo360 has forged a powerful partnership with Contica AB, a leading integration specialist team in Sweden operating on the Microsoft platform since 2010. Comprising a cadre of specialists ranging from security experts to system architects, developers, project managers, integrators, and testers, Contica AB is committed to delivering tangible value through their expertise.

New Features to Meet Upcoming Ecommerce Security Regulations

RapidSpike recently launched the first of six new features designed to further boost the security of ecommerce websites, in readiness for PCI DSS 4.0. We recently featured in Prolific North. If you missed the write up, you can catch up in full, here… In response to rising ecommerce threats, the Payment Card Industry Data Security Standards will impose 63 new requirements on brands processing, storing or transmitting credit card information, with version 4.0 coming into effect on March 31, 2025.

Track Errors in FastAPI for Python with AppSignal

When you first try a new library or framework, you are excited about it. However, as soon as you run something on production, things are less than ideal — an error here, an exception there - bugs everywhere! You start reading your logs, but you often lack context, like how often an error happens, in what line, etc. Fortunately, tools such as AppSignal can help. AppSignal helps you track your errors and gives you a lot of valuable insights.

Comparing Performance and Resource Usage: Grafana Agent vs. Prometheus Agent Mode vs. VictoriaMetrics vmagent

Monitoring and observability are critical components of modern IT infrastructures, enabling organizations to gain insights into the performance, health, and security of their systems. Agents play a crucial role in gathering and forwarding telemetry from various sources to observability platforms.

The Complete Guide to AIOps

AIOps, which stands for Artificial Intelligence for IT Operations, is here to stay. The truth is that leveraging artificial intelligence (AI) for ITOps offers a range of benefits that can significantly improve the efficiency, reliability, and performance of IT operations. So keep on reading as we explore AIOps software potential. From automating routine tasks to predicting future issues and enhancing decision-making, as well as practical scenarios as strategies for its implementation.

How to Implement Cookie Consent Management (Consent Mode v2) for Free

If your website is visited by users from the European Economic Area or the United Kingdom, you must obtain their consent not only to collect their data but also to store cookies in their browsers. Consent applies not only to cookies used by your site but also to third-party cookies – such as Google Analytics.

Continual Learning in AI: How It Works & Why AI Needs It

Like humans, machines need to continually learn from non-stationary information streams. While this is a natural skill for humans, it’s challenging for neural networks-based AI machines. One inherent problem in artificial neural networks is the phenomenon of catastrophic forgetting. Deep learning researchers are working extensively to solve this problem in their pursuit of AI agents that can continually learn like humans.