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Getting Started with OpenTelemetry Visualization - A Practical Guide

OpenTelemetry is a Cloud Native Computing Foundation(CNCF) project aimed at standardizing the way we instrument applications for generating telemetry data(logs, metrics, and traces). However, OpenTelemetry does not provide storage and visualization for the collected telemetry data. For OpenTelemetry visualization, you need to use a backend that can ingest the collected data and provide a web UI to visualize it.

How to Enable Offline Workflows and Transactions with SAP Mobile Apps

When you’re using SAP mobile apps to execute mobile workflows and transactions, I would bet one of the biggest challenges is often a lack of offline capabilities. How many times is your wireless network connection interrupted by a dead spot or a temporary network outage in your facility? How frustrating is it to lose your mobile app session and any data and transactions that you were actively working on when that happens?

Get Started with InfluxDB's JavaScript API

Time series databases are designed to store and analyze data collected at specified points in time. They’re essential for applications that handle huge amounts of continuously generated data, such as Internet of Things (IoT) devices, system monitors, and financial systems. InfluxDB, an open source time series database known for its outstanding performance and scalability, has gained popularity due to its capacity to manage large amounts of time-stamped data.

How to Find the Right Software Solutions for Your Business Needs

In today's fast-paced digital landscape, the right software solutions can make a significant difference in the efficiency and effectiveness of a business. With countless options available, from project management tools to customer relationship management systems, selecting the most suitable software can be a daunting task. It's essential to understand your specific needs, evaluate your options thoroughly, and consider future growth to find solutions that align with your business goals. This article aims to guide you through the essential steps to identify and implement the best software solutions for your organization.

How to deploy AI workloads at the edge using open source solutions

AI is driving a new wave of opportunities in all kinds of edge settings—from predictive maintenance in manufacturing, to virtual assistants in healthcare, to telco router optimisation in the most remote locations. But to support these AI workloads running virtually everywhere, companies need edge infrastructure that’s fast, secure and highly scalable.

The waiting game is over. 5G is coming to the edge.

Cédric Gégout (VP of Product at Canonical) reflects on a recent research report that Canonical published in collaboration with Omdia. The report uncovered that despite the lack of widespread 5G standalone infrastructure, enterprises, industrial actors and service providers are preparing for 5G edge computing to produce returns within two years.

Introducing Megaport AI Exchange

Supercharge your AI innovation with secure, scalable, and high-performance connectivity for your AI workloads. AI isn’t magic. Just like every other system in the IT world, AI is built on computing infrastructure – and the performance of your AI applications hinges on this infrastructure and the connections that bind it.

Achieving your AI Strategy with Automation

AI must be the hottest topic in the business news at the moment whether its public offerings like ChatGPT or the plethora of business offerings starting to appear. In a recent Gartner survey1 92% of CIOs believe AI will be implemented in their organizations by 2025 but turning the promise of AI into reality is not easy, in the same survey 49% of leaders highly involved in AI report that their organizations struggle to estimate and demonstrate the technology’s value.

Mastering NodeJS Performance Monitoring - A Practical Guide using Open Source Tools

Node.js is one of the most popular frameworks for server-side programming. As it's based on JavaScript, it's easy to learn and widely used by both enterprises and startups. However, Node.js applications can be prone to issues like memory leaks and high CPU loads due to its dynamically typed, single-threaded nature. This makes performance monitoring crucial for Node.js applications.