Preparing for high-traffic scenarios is crucial for the success of any website. As your online presence grows, you'll inevitably face challenges associated with increased traffic. This article will discuss key strategies to effectively manage high web traffic and ensure your website maintains optimal performance.

So, you finally have Cribl Edge collecting Logs, Metrics, and Events from your Kubernetes clusters and scraping your Prometheus endpoints. This post will guide you in enriching your events and metrics to help you identify and spot trends or anomalies in the performance of your containers.

In the dynamic world of observability and analytics, everyone’s looking for smarter, more efficient, and interoperable ways to handle their data. That’s where Cribl steps in, bringing you an exciting update to our product lineup. We’re thrilled to introduce the OTLP Metrics Function to Cribl Stream 4.5! This Function converts metrics into the OpenTelemetry Protocol (OTLP) format with ease!

Every time I share a project using SaaS tools, someone inevitably responds that they could do the same thing on their own home server ‘for free.’ I mention this not because it is annoying, since I would never go on social media at all if annoying responses were allowed to change my behavior, but because I think it points to a basic misconception that still affects DevOps practitioners today: the refusal to accurately estimate the real costs of self-managed solutions.

Our ‘Global Microsoft Teams Performance Trends’ report revealed some very interesting facts about enterprise usage of Teams. Using insight drawn from hundreds of thousands of Teams users, we’ve figured out the issues that plague certain regions. Don’t worry, we haven’t just filed that under “important stuff for later”, we’ve created an action plan for your organization you use to make its Teams performance much better. Let’s dive straight in.

Infrastructure optimization is the missing piece in your Internal Developer Platform (IDP) resource plane. Here’s how it can help your IDP make an impact, and ideas on how to weave it into your architecture.

Imagine a data engineer working for a large e-commerce company tasked with building a system that can process and analyze customer clickstream data in real-time. By leveraging Amazon Kinesis and InfluxDB, they can achieve this goal efficiently and effectively. So, how do we get from idea to finished solution? First, we need to understand the tools at hand.