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

What is Network Topology? Definition and Overview of Types

Imagine trying to navigate a new city without a map—you wouldn’t know where to go, how to get there, or what obstacles might be in your way. As a network administrator, understanding network topology is just as vital for navigating and maintaining a stable network. Without a detailed knowledge of the pathways of your network infrastructure, troubleshooting and network management become unnecessarily complex.

AVD Performance Dashboard

In this dashboard tutorial video, we will walk you through building an Azure Virtual Desktop dashboard. This dashboard provides users with the visibility they need into the status of Azure Virtual Desktop. The Azure Virtual Desktop dashboard combines CloudReady and Service Watch metrics for a holistic view of Azure Virtual Desktops availability and performance. When issues occur, users can quickly review the dashboard to identify whether the issues is limited to an office, individual device, or affecting Azure Virtual Desktop as a whole.

Kentik Bytes - Cloud Network Performance Metrics

Phil Gervasi introduces a quick and easy way to see network performance metrics among multiple cloud instances. Synthetic tests can be deployed in multiple public clouds to test for loss, latency, and jitter among public cloud instances, such as between AWS and Azure. Phil demonstrates the ability to adjust the time range and shows inbound and outbound traffic, average latency, packet loss, and jitter. A spike in any of these metrics would trigger an alert tied to the ticketing system. He also shows the ability to click into the path view between cloud instances to see a hop-by-hop breakdown.

Kentik Bytes - Identifying Idle Cloud Resources

Phil Gervasi introduces a method for identifying idle resources in AWS using the Kentik platform. By selecting dimensions such as Logging Status, Observing VPC ID, and Observing Region, users can filter the data to determine if a resource is actually doing anything from a network perspective. “No Data” messages indicate resources with no network activity, and a more specific filter can be created based on this message to isolate idle resources. By adjusting the time frame and observing bits per second, users can determine how long resources have been idle.

Your Data Your Cloud: Cribl Stream Managed Worker Groups in Microsoft Azure

One of our most commonly asked questions is when we will support Worker Groups in Azure. We’ve heard you loud and clear; some exciting news will make your data management much more straightforward. We’re introducing a Cribl-managed Cribl Stream data plane, also known as Worker Groups, in Microsoft Azure. These Worker Groups are oil to your engine—essential for data operations, handling everything from shaping and transforming to enriching and processing your data.

aNN vs kNN: Understand their differences and roles in vector search

In today's digital era — where data grows exponentially and becomes increasingly complex — the ability to efficiently search and analyze this vast ocean of information has never been more important. But it's also never been more challenging. It's like trying to find a needle in a haystack but with the added challenge of the needle constantly changing its form. This is where vector search emerges as a game-changer, changing how we interact with large data sets.

The Leading End to End Monitoring Tools

End-to-end monitoring refers to the comprehensive assessment of the whole IT environment to understand the overall state of the IT infrastructure and how it impacts user experience. Traditional monitoring techniques have differed from end-to-end monitoring in that they view the IT environment from a more holistic and user-centric perspective than other traditional ways of monitoring.

Aligning Business and Engineering Goals with Honeycomb SLOs

Setting clear, measurable goals is essential for any successful team. However, aligning those goals with the technical work can be challenging in the fast-paced world of software engineering. Engineers might focus on reducing latency or improving uptime, while business leaders look at revenue and customer satisfaction. It gets tricky to track the impact between the two to justify when specific engineering initiatives are important, why, and how they impact the bottom line.