Operations | Monitoring | ITSM | DevOps | Cloud

In today’s world, there’s no lack of monitoring data. In fact, the amount of data DevOps and SRE teams are dealing with on a daily basis can be confusing and overwhelming. Often, the problem is threefold.

In any organization, the IT operations teams bear the responsibility of providing reliable cloud services to users that are increasingly distributed, working from home, the office, or elsewhere. As a result, IT professionals are looking for solutions to achieve visibility of the user’s network from end to end to quickly identify and resolve bottlenecks and ensure maximum productivity and ROI of their cloud applications.

Since joining Cribl in July, I’ve had frequent conversations with Federal teams about observability data they collect from networks and systems, and how they use and retain this data in their SIEM tool(s). Cribl LogStream’s ability to route, shape, reduce, enrich, and replay data can play an invaluable role for Federal Agencies. Over several blogs, we will walk through the power that we bring to these requirements.

JFrog’s Security Research team is constantly looking for new and previously unknown security vulnerabilities in popular open-source projects to help improve their security posture. As part of this effort, we recently discovered 5 security vulnerabilities in PJSIP, a widely used open-source multimedia communication library developed by Teluu. By triggering these newly discovered vulnerabilities, an attacker can cause arbitrary code execution in the application that uses the PJSIP library.

This article takes a look at a few different aspects of C structure initialization. In particular, we’ll look at when it matters, the current state of things in Clang and GCC, recommendations, and the ✨ future ✨. Time to dive into this very niche, but occasionally hazardous corner of the C language!

The struggle for better cloud visibility is common amongst software-as-a-service (SaaS) companies. SaaS applications are more complex than on-premise solutions by nature — there is a lot more surface area to consider. Distributed and multi-tenant systems are inherently more complex. Distributed systems, as often found in cloud architectures, are generally scaled out horizontally much more so than traditional single instance applications.