Operations | Monitoring | ITSM | DevOps | Cloud

Throughout the first half of 2024, Lightrun has focused on developing a range of solutions and improvements aimed at enhancing developer observability and live debugging. These advancements help organizations significantly reduce their MTTR for complex issues while boosting developer productivity. Read more below the main new features as well as the key product enhancements that were released in H1 of 2024!

Being a Managed Security Service Provider (MSSP) or delivering a Managed Detection and Response (MDR) service is hard. You’re doing the jobs that are so hard that large swaths of organizations turn to you to handle those complex jobs for them. MSSP/MDR tech stacks are dynamic and highly customized, allowing for competitive offerings at competitive prices.

The move to software-defined wide area networks (SD-WAN) is happening rapidly, and on a large scale. However, many network operations teams are struggling to contend with the monitoring implications of these technologies. In this post, I’ll outline the visibility gaps posed by SD-WAN, and I’ll detail how DX NetOps by Broadcom addresses these gaps.

By running performance tests continuously and automatically, you can identify and correct performance regressions as they occur. One way to do this is by integrating performance testing into your development process. In this step-by-step post, we explore how to do just that, using Grafana k6 and GitHub Actions. k6 is an open source load testing tool to test the performance of APIs, microservices, and websites.

This guide goes into the fundamentals, practical applications and tips & tricks of using OpenTelemetry (OTel) to monitor your Next.js application. OpenTelemetry is gaining (a lot) of momentum outside of its historical niche of distributed, micro services based application stacks. But, as it turns out you can just as well use it for more traditional, three tiered, web applications and it comes with a host of benefits.

How to handle whitespaces in the OTLP Headers with Python Otel SDK.

Every Python developer has heard about the GIL (Global Interpreter Lock) This lock simplifies memory management and ensures thread safety, but it also limits the performance of multi-threaded, CPU-bound programs because threads can’t run Python code in parallel. Here is a great explanation of why Python requires the GIL by Python’s creator, Guido van Rossum: Guido van Rossum: Will Python ever remove the GIL? | Lex Fridman Podcast Clips.

Modern Applications can use a lot of external services, some of those interactions are expected, others not so much. There could be many reasons for those unexpected interactions, ranging from security vulnerabilities and various malware to outdated code and various reporting and statistics software may report to its creator or a third party. These unexpected interactions can be a security risk, and may also raise privacy concerns.