Operations | Monitoring | ITSM | DevOps | Cloud

As a company born in the Amazon Web Services (AWS) cloud, we understand that operating at cloud scale requires balancing security, compliance, and operational safety with your commitment to innovation, speed, and agility. From cost optimization at scale to operational resiliency to application modernization, we know you’re facing various challenges and need reliable solutions.

While many of the popular tools for observability in software are open source, one thing they lack is open design. Most of these solutions, from Nagios to Prometheus, started as a product with an opinionated design, which happened to work well for many people. These became the de facto standards. That position of de facto standard is what every open-source project and every commercial product tries to be.

With observIQ’s latest contributions to OpenTelemetry, you can now use free open source tools to easily monitor Cloudflare. The easiest way to use the latest OpenTelemetry tools is with observIQ’s distribution of the OpenTelemetry collector. You can find it here. In this blog, the Cloudflare receiver is configured to monitor logs locally with OTLP– you can use the receiver to ship logs to many popular analysis tools, including Google Cloud, New Relic, OTLP, Grafana, and more.

Upon its release in November 2022, ChatGPT stunned Silicon Valley and the world. OpenAI, a small company based in San Francisco, introduced a chatbot that mimics complex emotions, writes code and answers complex questions. Technology considered a decade away was now at everyone’s fingertips and quickly became the fastest-growing app in history. Just four months later, OpenAI launched a significant update, ChatGPT-4, and the results of this new technology are fascinating.

Want to build websites and apps in a way that’s both easier and cheaper? Well, it’s possible even for major organizations and international companies. In this article, let’s take a look at how serverless architecture and computing is changing the game for software developers. We’ll start at the very beginning and walk through how serverless works, how we got this far, and the pros & cons of this approach.

Your Apache HTTP server access and error logs contain a wealth of actionable insights about potential server configuration and web application issues. The problem is that this information is hidden within millions of log messages, so you need analytics to efficiently extract these insights so you can respond to problems before they impact your users. Apache log analysis revolves around two activities: monitoring and troubleshooting.

DevOps teams are used to working with data that is spread out across lots of different systems and environments. In organizations that have achieved tight collaboration with security teams to transition to DevSecOps, this is even more true! Log management is part of how all these teams keep track of information and make vital business decisions. It’s important to take a moment to understand what is meant by log management.