Operations | Monitoring | ITSM | DevOps | Cloud

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Unlocking the Power of GPUs and LLMs: Scalable AI Solutions with Civo

As the demand for large language models (LLMs) and AI-powered applications continues to grow, businesses are facing challenges in scaling compute capabilities and managing costs. GPUs have become the cornerstone of AI innovation, but their integration requires scalable and efficient solutions tailored to enterprise needs.

Beginner's guide to getting started in machine learning

Machine learning (ML) has shifted from being a niche research field to a powerhouse behind many technologies we use daily. From personalized recommendations on streaming platforms to chatbots and image recognition, ML’s influence is everywhere. But what exactly is machine learning, and why should you invest time in learning about it? This blog will walk you through ML’s fundamentals, explain what you need to know, and outline a practical step-by-step plan to start your ML journey.

Overhauling PagerDuty's data model: a better way to route alerts

Since its launch in 2009, PagerDuty has been the go-to tool for organizations looking for a reliable paging and on-call management system. It’s been the operational backbone for anyone running an ‘always-on’ service, and it’s done the job well. Ask anyone about the product, and you’re all-but-guaranteed to hear the phrase “it’s incredibly reliable.” I agree. But reliability isn’t everything.

Log Levels: Different Types and How to Use Them

When you're working with logs in software development, one key thing to understand is log levels. They help us organize log messages, making it easier to find and analyze the most important ones. In this guide, we'll walk through what log levels are, why they matter, and how to use them effectively. Let’s get started!

What is Single Pane of Glass Monitoring and How It Works

Monitoring your systems can feel like keeping track of a million moving parts. Logs, metrics, traces—the constant flow of data can quickly turn into a whirlwind. Making sense of it all can be overwhelming, but that's where a single pane of glass monitoring helps. In this post, we're going to break down what a single pane of glass monitoring means, why it's so important, and how it can make your life easier by giving you a clearer view of your systems.

Taming alert chaos: How alarm overload leads to IT fatigue and how AIOps can fix

Data complexity increases every year. The three Vs of data—volume (the amount of data streaming in and out), velocity (the speed of generation, processing, and streaming), and variety (different forms ranging from structured databases and semi-structured XMLs to completely unstructured data as media files)—are also increasing in complexity.

How Overlooked Anomalies Can Lead to Enterprise Losses

Organizations invest heavily in robust systems, talented personnel, and sophisticated tools to ensure smooth operations. Yet, small anomalies often escape attention—minor glitches in applications, occasional lags in processes, or subtle irregularities in performance metrics. These may appear insignificant, but when left unaddressed, they can cascade into significant disruptions, leading to operational inefficiencies, financial losses, and reputational damage.

Azure Cost Optimization Tips: Tackle Azure Waste & Technical Debt

This video explores Turbo360's new feature, which is designed to help you optimize Azure resources, reduce costs, and tackle technical debt. The recommendations feature provides actionable insights to optimize your Azure environment and improve cost visibility. Key Takeaways: How the recommendations feature works to optimize Azure environments. The step-by-step process of viewing, downloading, and analyzing recommendations. How to create tasks based on these insights for team action, promoting decentralized cost management.

Comprehensive Guide to Kafka Monitoring: Metrics, Problems, and Solutions

Apache Kafka has become the backbone of modern data pipelines, enabling real-time data streaming and processing for a wide range of applications. However, maintaining a Kafka cluster's reliability, performance, and scalability requires continuous monitoring of its critical metrics. This blog provides a comprehensive guide to Kafka monitoring, including key metrics, their units, potential issues, and actionable solutions.