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What is OpenTelemetry? The Definitive Guide to Modern Observability

Imagine having total awareness of your apps: observing the effects of code on efficiency, identifying bottlenecks, and predicting crashes. The open-source observability platform OpenTelemetry makes this possible. OpenTelemetry, designed to collect telemetry data, provides you with the knowledge necessary to enhance your systems and provide a flawless user experience.

Mastering Microsoft Teams Network Assessments: How to Audit Microsoft Teams Performance

Microsoft Teams has become a cornerstone of collaboration and communication for countless enterprises worldwide. However, as reliance on Unified Communications (UC) grows, so do the chances of encountering performance issues. While Microsoft Teams offers some native tools for network assessments, they often prove limited and fail to address underlying issues effectively.

Understanding service level agreements (SLAs): The basics

Service Level Agreements, or SLAs, are like business handshakes. They are the promises that companies and service providers make to each other about service quality, like how quickly a website loads or how fast customer service responds. SLAs set clear expectations right from the start, ensuring no surprises along the way and keeping both sides happy.

How to Build a Multidisciplinary ITSM Project

The process of building and maintaining an IT Service Management (ITSM) project looks different for every organization. There is however something that all robust initiatives have in common; they combine and adapt different concepts and frameworks within teams to maximize value and operation maturity. The benefits of this approach are clear. You get to tailor your ITSM project through multiple perspectives that can help achieve different aspects of your goals.

Getting started with the Elastic AI Assistant for Observability and Microsoft Azure OpenAI

Recently, Elastic announced the AI Assistant for Observability is now generally available for all Elastic users. The AI Assistant enables a new tool for Elastic Observability providing large language model (LLM) connected chat and contextual insights to explain errors and suggest remediation.

Open Source vs. Closed Source Software

In software development, two primary models of software exist: open source and closed source. Both types have their benefits and drawbacks, and understanding the differences between them can help you make informed decisions when choosing software for your projects. To simplify the concepts of open source and closed source software, let’s use the analogy of community cookbooks — open source — and a secret family recipe: the closed source.

Monitor SQS with Data Streams Monitoring

Datadog Data Streams Monitoring (DSM) provides detailed visibility into your event-driven applications and streaming data pipelines, letting you easily track and improve performance. We’ve covered DSM for Kafka and RabbitMQ users previously on our blog. In this post, we’ll guide you through using DSM to monitor applications built with Amazon Simple Queue Service (SQS).

Barcodes trends 2024: The Future of Inventory Management

With an increasing emphasis on real-time data and streamlined operations, businesses are constantly seeking innovative solutions to stay ahead. One technology that has been a linchpin for decades and continues to evolve is barcodes. Today, the trends surrounding barcodes are not only enhancing their traditional applications but also redefining the future of inventory management.

Protecting Lives and Environment: The Fight Against Aqueous Film Forming Foam

What we often overlook in our daily lives can sometimes profoundly impact our health and environment. Aqueous Film Forming Foam, commonly known as AFFF, is one such element. Initially hailed as a revolutionary tool in firefighting, especially for extinguishing complex and high-intensity fires, AFFF has played a crucial role in saving lives and properties.

Harnessing the Power of AI: Removing Objects from Photos with AI Technology

In the realm of digital photography, the ability to manipulate images has become more accessible and sophisticated than ever before, thanks to advancements in Artificial Intelligence (AI) technology. Among the myriad tasks in photo editing, removing unwanted objects from photos stands out as a common challenge faced by photographers and enthusiasts alike. Whether it's eliminating distractions from scenic landscapes or refining professional portraits for LinkedIn headshots, AI-powered tools offer innovative solutions to streamline the editing process. In this comprehensive guide, we explore the transformative capabilities of AI technology in removing objects from photos, empowering users to achieve impeccable results with efficiency and precision.