Operations | Monitoring | ITSM | DevOps | Cloud

The use of code profiling to troubleshoot application performance can appear daunting to the uninitiated, and many software engineers even assume that this domain is reserved for niche specialists. But here at Datadog, one of the key goals for our Continuous Profiler product has been to take this seemingly intimidating practice of code profiling and make it more accessible to engineers at all levels.

While some monitoring tools excel at a specific task, observability works best when you have a holistic view of your system. You need a platform capable of working with all of your telemetry collectively, otherwise you can end up with a complex, inefficient, and expensive collection of incongruent, siloed tools. That’s what one team at Dell Technologies realized before they made a switch to Grafana Cloud last year.

“It’s the network again.” That is what most people think of when they experience degradation in their digital interactions. Whether it’s an app that won’t load, a 404 error, or garbled speech in a streaming conversation—the network’s reputation always seems to take a hit when things go wrong. Battling this perception with facts is essential. This requires knowing what’s up, what’s down, and what’s affected.

Earlier this year, we introduced a new logging and performance monitoring tool, Honeybadger Insights. You can finally send your logs, application events, and telemetry data to Honeybadger! Once you do, you can query your logs and events to diagnose performance issues, perform root-cause analyses, and create beautiful charts and dashboards to see what's happening in real time.

The ELK (Elasticsearch, Logstash, and Kibana) stack is a centralized logging solution that provides users with comprehensive log searches in a single location. The extensive features and varying uses that the solution offers have led to it becoming one of the most popular tools currently available.

It takes a complex IT infrastructure of on-premises and multi-cloud environments to support a satellite communications business like EchoStar’s that serves corporate and government clients around the world. For customers, these services are mission-critical so keeping services operational is vital for the service provider. But EchoStar had a problem. It was trying to manage this complex IT infrastructure with eight different legacy monitoring tools running across 75 different internal servers.

In this tutorial, we’ll learn how to build dashboards using Apache Superset and data from InfluxDB Cloud 3.0. This guide will provide practical steps and insights to integrate these powerful tools, helping you visualize your time series data with ease and precision. Whether you are monitoring IoT devices, applications, or infrastructure, you’ll find valuable tips on leveraging Superset and InfluxDB Cloud to enhance your data analytics capabilities.

Learn more about systems engineering and how to get started with these key resources curated by Google’s Site Reliability Engineering (SRE) team.

Last month, we rolled out Raygun4Aspire, our Crash Reporting client for.NET Aspire applications. That release included a free, lightweight version of the full Raygun web app that runs locally. After the successful launch of our recent AI Error Resolution feature for Crash Reporting, we knew that we had to bring this feature into the Aspire local development experience. Today, we’re thrilled to announce that AI Error Resolution for Raygun4Aspire is now available for all Aspire app developers!