Operations | Monitoring | ITSM | DevOps | Cloud

This practitioner blog will show you how to consume telemetry data from your network devices in five easy steps. Telemetry is a monitoring technology used to do high-speed data collection from network devices. According to EMA research on network performance management, “71% of enterprises are interested in collecting streaming network telemetry with their network management tools.” This next-generation approach to monitoring has been expected to replace SNMP for years.

Since Microsoft announced the RDP Shortpath feature was going to be enabled by default on September 6, 2022 for all Azure Virtual Desktop (AVD) customers, monitoring and troubleshooting this feature has become important. RDP Shortpath feature improves the AVD connectivity by establishing a direct UDP protocol between the AVD session hosts and the Remote Desktop Client by reducing the dependency on gateways.

Honeycomb recently released our Query Assistant, which uses ChatGPT behind the scenes to build queries based on your natural language question. It's pretty cool. While developing this feature, our team (including Tanya Romankova and Craig Atkinson) built tracing in from the start, and used it to get the feature working smoothly. Here's an example. This trace shows a Query Assistant call that took 14 seconds. Is ChatGPT that slow? Our traces can tell us!

In the last post, we addressed validating whether a string was null or empty. Today I will speak about another good Best practice, Tips, and Tricks that you must consider while designing your business processes (Logic Apps) and another usual validation requirement: How to validate if an Array is empty or not.

In this bi-weekly micro webinar series, Catchpoint and ITOps Times have partnered to explore six critical topics that are essential for ensuring Internet Resilience for your business. Explore each of the topics in the series: In this fourth segment, we’ll discuss techniques for enhancing Network and API performance by implementing Internet Performance Monitoring. Now, let’s get into the episode!

“By failing to prepare, you are preparing to fail. Preparation prior to a breach is critical to reducing recovery time and costs.” (RSAConference) For 83% of companies, a cyber incident is just a matter of time (IBM). And when it does happen, it will cost the organization millions, coming in at a global average of $4.35 million per breach. The damage isn’t only financial, nor solely related to customer loyalty and brand equity.

When you’re just starting as a network engineer, an IP address conflict can be a difficult issue to resolve. In this post, we’ll look at what an IP address conflict is and why it occurs. Then, we’ll talk about the types of IP address conflicts and the ways to fix them. We’ll also discuss how to detect and prevent IP address conflicts. Detection and prevention can be done best with certain tools, so we’ll learn about the top five tools to use.

Did you know that 88% of online consumers are less likely to return to a website after a bad user experience? This means that no matter how small, website errors can significantly impact your website's traffic and revenue. As a website owner or manager, it's crucial to identify and fix common errors to ensure your website runs smoothly and provides an exceptional user experience. But where do you start? With so many potential issues that can arise, it can be overwhelming to know what to prioritize.

Azure OpenAI is a service for deploying AI applications on Azure resources. With its easy-to-use REST APIs, you can leverage the service to access OpenAI’s powerful language models, such as ChatGPT, for your applications while taking advantage of the reliability and security of the Azure platform. Datadog already offers an out-of-the-box integration for OpenAI so you can monitor key performance trends, such as API usage patterns, token consumption, and more.

Migrating your on-prem applications to Azure can help you improve scalability, reliability, and security. It can also help reduce costs and free your engineering teams to focus on innovation and performance optimization. But it can be hard to understand Azure costs as they evolve during your migration and to see how they correlate with your resource utilization once you’re up and running in Azure.