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LLM Monitoring and Observability

The demand for LLM is rapidly increasing—it’s estimated that there will be 750 million apps using LLMs by 2025. As a result, the need for LLM observability and monitoring tools is also rising. In this blog, we’ll dive into what LLM monitoring and observability are, why they’re both crucial and how we can track various metrics to ensure our model isn’t just working but thriving.

Balancing Performance and Cost in MQ Modernization

When it comes to modernizing MQ systems, finding the right balance between performance and cost can feel like walking a tightrope. With budget constraints on one side and the need for high performance on the other, it’s easy to tip too far in either direction. But here’s the thing—when you modernize your MQ infrastructure thoughtfully, you can achieve both efficiency and budget optimization.

Top 13 Open Source APM Tools [2024 Guide]

Choosing the right APM tool is critical. How do you know which is the right one for you? Here are the top 13 open source application performance monitoring(APM) tools which can solve your monitoring needs. Open source APM tools have added benefits over their SaaS counterparts. Open source tools are more transparent as you can verify its source code, and you can use it without going through the pains of taking approvals usually required for using a third-party vendor tool.

How to Use Data Views to Save Your Monitoring Budget

MetricFire automatically produces different statistical views on the data you send, providing fast views on your metrics at the most appropriate resolution for viewing on your dashboard using Hosted Graphite. This allows you append views to the end of your metric to visualize your data in different ways. Append a view to the end of your metric to visualize your data in different ways.

How Confident is Your Organization in Its Modernization Efforts?

How would your organization rate its modernization? With technology moving at warp speed, most firms are behind the times. A recent report from Forbes said that 70% of digital transformations fail. With the requirement for modernization within IT infrastructure growing tremendously, competitiveness and relevance continue to be increasingly difficult. This begs the question: Just how prepared is your organization to navigate these changes effectively? Understanding your readiness can empower you to utilize Pasadena's technical services in developing a modernization strategy that fosters success.

New IT Disruptions Shake Up the Enterprise Landscape

Recent IT disruptions have been the causes of great changes in the very core of doing business worldwide, presenting both challenges and opportunities in their wake. As such, organizations continue to embrace these changes through emerging technologies, operations, workforce interactions, and customer experience. Therefore, digitization and the adoption of innovative solutions are key to maintaining competitive advantages.

Types of Intrusion Detection Systems: Network vs. Host-Based IDS

Intrusion Detection Systems (IDS) are specialized security tools that are designed to detect and respond to suspicious activities within an organization's network or on individual computer systems. Their primary objective is to identify anomalous patterns or behaviors that may indicate a security incident. These anomalies may include unauthorized access attempts, suspicious patterns in network traffic, or alterations to critical system files.

Azure Kubernetes Service Pricing: Complete Guide to Optimizing AKS Spend

Tired of managing your Kubernetes clusters all on your own? Don’t have the time to figure out how to deploy, run, and optimize usage? Azure has just the thing for you: Azure Kubernetes Services. This article will cover everything you need to know about Azure Kubernetes Services, how it works, what the Azure pricing will be, whether you should use it, and, if so, how to save on your cloud cost.

Linux Load Average Myths and Realities

When it comes to monitoring system performance on Linux, the load average is one of the most referenced metrics. Displayed prominently in tools like top, uptime, and htop, it’s often used as a quick gauge of system load and capacity. But how reliable is it? For complex, multi-threaded applications, load average can paint a misleading picture of actual system performance.