What guarantees the success of a website today isn’t just its content and design; delivering a seamless and efficient user experience (UX) is also extremely critical. This is where Core Web Vitals are important as they provide a collection of performance metrics to evaluate the quality of website user experience. Core Web Vitals are critical to attract visitors and retain them as they directly impact a site’s visibility on Google.
A few weeks ago, we published some benchmarking that showed performance gains in InfluxDB 3.0 that are orders of magnitude better than previous versions of InfluxDB – and by extension, other databases as well. There are two key factors that influence these gains: 1. Data ingest, and 2. Data compression. This begs the question, just how did we achieve such drastic improvements in our core database? This post sets out to explain how we accomplished these improvements for anyone interested.
Microsoft Teams has become the go-to platform for seamless collaboration and communication. However, like any technology, performance issues can arise, and these issues affect user experience and productivity. For IT teams tasked with Microsoft Teams troubleshooting, having access to comprehensive data is key. In this blog, we explore the challenges faced by IT teams and how harnessing more data can make the process significantly easier.
Recently I caught up with Jamie Allen on Episode 67 of the Slight Reliability podcast to discuss the idea of a single pane of glass (SPOG). Jamie had written an article titled The Single Pain of Glass which coincidentally was what I titled Slight Reliability Episode 10. I thought given our shared use of puns and this topic that it was worth a conversation! So, what is a single pane of glass? Is it an idea with practical application? How does it fit into the world of modern observability?
Almost every study examining the hourly cost of outages invariably leads to a clear and undeniable conclusion: outages are expensive. According to a 2016 study, the average cost of downtime was estimated at approximately $9,000 per minute. In a more recent study, 61% of respondents stated that outages cost them at least $100,000, with 32% indicating costs of at least $500,000 and 21% reporting expenses of at least $1 million per hour of downtime.
