Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

How Accurate are Weather Radar Predictions for Outdoor Events?

Hosting an event requires planning as weather conditions play a significant role in its success - whether it's a wedding celebration, a sports tournament, or even a festive gathering in question! The accuracy of weather predictions is key to ensuring everything runs smoothly during these occasions.

A Guide to Kubernetes Performance Testing: Top 5 Tools & Methodologies for Load Testing

Kubernetes has become the dominant orchestration platform for cloud-native apps– and for good reason. It can be a powerful tool in your software development lifecycle. But how do you know if your Kubernetes-based app can handle the demands of production traffic? Kubernetes alone isn’t always enough to ensure your app’s performance under load. In many cases, it is, but it’s always wise to know your application’s limits.

Monitor your generative AI app with the AI Observability solution in Grafana Cloud

Generative AI has emerged as a powerful force for synthesizing new content—text, images, even music—with astounding proficiency. However, monitoring, optimizing, and maintaining the health of these complex AI systems is challenging, and traditional observability tools are struggling to keep pace. At Grafana Labs, we believe that every data point tells a story, and every story needs a capable narrator.

How to Automate Your Megaport Infrastructure With APIs

Learn how to transform your network efficiency and interoperability, all from a single interface. As networks expand and automation becomes the norm, API usage has exploded; in today’s digital landscape, 90% of developers are now utilizing APIs. APIs are no longer just technical constructs, confined to the dark corners of software engineers – they’re now the lifeblood of many companies. API tools allow you to connect to diverse data sources, supporting interoperability and innovation.

The role of AI in Kubernetes monitoring

In a dynamic environment like Kubernetes, where manual tracking is impossible, AI-powered monitoring tools, such as Site24x7, surf through enormous amounts of data, detecting irregularities, predicting vulnerabilities, and alerting the user about a possible outage that is about to happen if the resource is not handled.

Elopement Photographer's Guide to Capturing Candid Moments

Elopements, with their intimate and personal nature, offer photographers a unique opportunity to capture genuine and candid moments. In contrast to larger weddings, where staged photos often take center stage, elopements allow more spontaneous expressions of love, joy, and adventure. This makes the role of the photographer in an elopement incredibly special as they seek to document the day in a way that reflects the authenticity of the couple's experience. We will explore how finding an elopement photographer in Iceland can best prepare themselves to capture these fleeting, candid moments that tell the true story of the elopement.

Difference Between TDD and BDD in Assisting Software Development Mistakes

Developing reliable, error-free software is undeniably a never-ending task in the evolving field of software development. Rigorous testing procedures are an undeniable necessity for guaranteeing that software functions as intended throughout the development cycle. TDD (Test-Driven Development) and BDD (Behavior-Driven Development) are two well-known approaches that have gained popularity in tackling typical software development issues. This article explores how exactly these approaches improve software product quality and aid in avoiding frequent errors.
Sponsored Post

How to Detect Threats to AI Systems with MITRE ATLAS Framework

Cyber threats against AI systems are on the rise, and today's AI developers need a robust approach to securing AI applications that address the unique vulnerabilities and attack patterns associated with AI systems and ML models deployed in production environments. In this blog, we're taking a closer look at two specific tools that AI developers can use to help detect cyber threats against AI systems.

Leveraging AI for Predictive Analytics in Observability

Predictive analytics has become a key goal in observability. If teams can foresee potential system failures, performance bottlenecks, or resource constraints before they happen, they can act preemptively to mitigate issues. AI holds the promise of making this possible. In this post, we explore how AI can push observability toward predictive analytics, the industry’s current hurdles, and practical use cases for leveraging AI today.