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4 Amazing Tips To Help Grow Your Startup Effectively

Every startup wants to succeed, but only some achieve that milestone. Many startups fail to succeed because they do not provide the products and services people want. So, it is important to research the target audience and what they want from you to ensure the success of your startup. Before starting your startup, always make a solid plan to mitigate your business risks and ensure smooth success. In this article, you will learn tips to grow your startup effectively. Keep reading!

Democratizing AI Research: How Llama's Accessibility Changes the Game

Artificial Intelligence (AI) is on the brink of unlocking a new era in nearly every industry, from healthcare to manufacturing. However, until recently, conducting AI research remained exclusive to well-funded labs and academics with extensive computational resources and domain knowledge. The emergence of accessible AI research tools like Llama 2 is changing this paradigm, empowering individuals and small teams to contribute to the AI revolution. Here's how Llama's accessibility transforms AI research and why every aspiring AI enthusiast should take note.
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Cost Benefits of Azure Monitor SCOM Managed Instance

Microsoft has just released the latest news regarding the cost structures for Azure Monitor SCOM Managed Instance. In this recent publication by Aakash Basavaraj on the Microsoft Tech Community, valuable insights have been shared on the benefits and cost-effectiveness of transitioning from the traditional System Center Operations Manager (SCOM) to the cloud-based Azure Monitor SCOM Managed Instance (SCOM MI). This blog post provides a condensed overview, highlighting key considerations and showcasing potential cost savings of up to 44%.

How to use HTTP APIs to send metrics and logs to Grafana Cloud

Integrating monitoring and logging into your application stack is crucial for maintaining performance, enhancing security, and streamlining troubleshooting. Grafana Cloud offers a robust solution for monitoring your applications by collecting metrics and logs using an agent, such as Grafana Agent, but there are many environments where this isn’t feasible.

OpenTelemetry distributed tracing with eBPF: What's new in Grafana Beyla 1.3

Grafana Beyla, an open source eBPF auto-instrumentation tool, has been able to produce OpenTelemetry trace spans since we introduced the project. However, the traces produced by the initial versions of Grafana Beyla were single span OpenTelemetry traces, which means the trace context information was limited to a single service view. Beyla was able to ingest TraceID information passed to the instrumented service, but was unable to propagate it upstream to other services.

Maximize IT efficiency leveraging alert management with Elastic AI Assistant for Observability

Manage and correlate signals and alerts in Elastic Observability As organizations embrace increasingly complex and interconnected IT systems, the sheer volume of alerts generated by diverse monitoring tools has given rise to a critical challenge — how do we efficiently sift through the noise to identify and respond to the most crucial issues? Event management and correlation are two indispensable pillars in the realm of IT service management.

How to enhance network monitoring: 3 anomaly detection use cases

In the LM Envision platform, anomaly detection for metrics is referred to by the feature name “Dynamic Threshold” rather than the more generic machine learning term “anomaly detection.” Dynamic thresholds allow users to identify and set custom alert thresholds based on observed data points. Metric thresholds in rules-based systems are effective when the desired outcome is clear. However, static thresholds may not anticipate emerging issues.

Where's the money? The ROI of test data management

You may have heard of test data management (TDM). It’s part of the software delivery process – some would say a crucial part, involving the creation, management, and maintenance of environments for software development and testing. By provisioning fresh, production-like data, it allows developers to test their proposed changes early, thoroughly, and repeatedly with the right test data, when they need it and where they need it.