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APM

The latest News and Information on Application Performance Monitoring and related technologies.

5 Ways AIOps Monitoring Benefits EUC Environments

The adoption of AIOps monitoring technologies has been somewhat slower in EUC than many other areas of IT. The legacy VDI and DaaS vendor tools set expectations low for many. It is still relatively common for us to come across potential customers who are using legacy tools and manually exporting 6 months of data into an excel spreadsheet to try and work out average and peak usage of resources such as CPU to then manually calculate alert thresholds.

Using OpenTelemetry Collector Loki Receiver to Send Logs to SigNoz [Code Tutorial]

In this tutorial, you will learn how to collect logs using the Loki receiver in OpenTelemetry Collector to send logs to SigNoz. If you’re using Promtail to collect logs, you can send them to SigNoz instead of Loki via the OpenTelemetry Collector. In this tutorial, we cover: If you want to jump straight into implementation, start with this prerequisites section.

Monitor HAProxy Metrics and Logs with OpenTelemetry [Step By Step Guide]

For extremely high throughput web applications, it is important to load balance the traffic across multiple servers. However, load balancing the traffic alone is not enough at times. The reverse proxy server that handles the workload needs to be performant, too. In our previous article, we discussed the NGINX reverse proxy server and understood how to monitor it. In this article, we set up monitoring for an even more performant reverse proxy server - HAProxy.

FinOps and Cloud Cost Optimization #shorts #datadog #cloudservices

As companies scale, it’s become increasingly important to keep cloud cost management and optimization top of mind. In this talk, Yuval Yogev from Sygnia walks you through Sygnia’s optimization journey of cutting their total cloud costs in half. Yogev also shares insights into how you can optimize your own organization’s cloud usage and spend.

Is your Java Observability tool Lambda Expressions aware?

Most SREs and IT Ops manage Java applications without source code access or communication with AppDev teams. When applications have performance issues those SREs or IT Ops teams deploying and maintaining the infrastructure often have to prove that it is the application at fault and supply information to the app supplier which provides evidence of the issue.

OpenTelemetry vs Jaeger : Comparing Apple and Oranges

Open telemetry works with all the three signals i.e. it help in generating all the three signals while Jaeger only focuses on one signal (traces). The second key difference is Jaeger doesn't worry about generating data. It's more focused on the UI visualization long term storage of traces data while OpenTelemetry primarily focused on generating traces data.

The art of software engineering management

Like any leadership role, leading an engineering team in a mature, compact company like Raygun comes with both honor and responsibility. Leading a major development project is a bit like conducting a symphony orchestra, where every individual plays a crucial role and has a great impact on the work they release to customers and end-users.
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Symbolicating stack traces from Apple system libraries

In the world of software development, quickly finding and fixing errors drives better experiences for both end-users and developers. One key tool in this process is the symbol map, which records debugging information that was lost in the compilation process. Symbol maps (or source maps if we're talking JavaScript) connect the code developers write to the minified code in production, making it easier to decipher crashes by pinpointing the exact source code that caused the error.

CTO Fireside Chat #cto #asana #datadog #leadership #ml #ai #shorts

Building large scale technical systems is hard, but building and scaling high performing technical organizations is even more difficult. In this session, Datadog Co-founder and CTO Alexis Lê-Quôc will sit down with Prashant Pandey, Head of Engineering at Asana, to discuss their approach to engineering leadership. They’ll share the hard-learned lessons from their long careers to help you cultivate better technical teams, covering topics from staying in tune with new technologies, enabling innovation , shipping modern ML and AI-based features, and scaling teams.