Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Track and troubleshoot MongoDB performance with Datadog Database Monitoring

Many modern applications rely on MongoDB and MongoDB Atlas to manage growing data volumes and to provide flexible schema and data structures. As organizations adopt these and other NoSQL databases, effective monitoring and optimization become critical, especially in distributed environments.

Introducing the Datadog Architecture Center

To prevent visibility gaps in your cloud environment, you need to efficiently deploy observability solutions that integrate easily with key technologies in your stack and scale reliably with new applications and migrated workloads. But observability deployments can be complex, often requiring deep and specific knowledge that may not be available within your teams.

SolarWinds Observability Self Hosted 2024.4: New Cloud Monitoring for Azure and AWS Databases!

Explore the powerful new features in SolarWinds version 2024.4, now supporting expanded cloud monitoring capabilities! Crystal Taylor, SolarWinds Evangelist, walks you through the latest updates, including Azure Managed Instance, Azure MySQL, Azure PostgreSQL, and Amazon RDS for SQL Server. See firsthand how PostgreSQL and RDS instances are monitored, showcasing detailed charts and metrics like Log IOs, physical data reads, and memory usage. Upgrade now to take full advantage of these new insights and optimize your cloud database performance.

SolarWinds Observability Self Hosted 2024.4 Expanded Device Support and Enhanced Wireless Monitoring

Discover the latest features in SolarWinds version 2024.4! This update brings support for a variety of new network devices, including Fortinet SD WAN, Ruckus, Juniper, Arista, and Extreme Networks wireless access points, plus Meraki switch support via API integration. Join Crystal Taylor, SolarWinds Evangelist, as she takes you through the new wireless monitoring capabilities and shows how your network management just got easier. Watch now to optimize your network oversight and stay ahead with these powerful enhancements!

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.

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.

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.