Operations | Monitoring | ITSM | DevOps | Cloud

Welcome back to our monthly product updates - SigNal! So happy to share with everyone that we were trending on the first page of Hacker news over the weekend, and the whole team was so upbeat about it. Last month, we shipped a lot of dashboard and documentation improvements to make SigNoz better for our users. We also participated in conferences, gave talks on open source, and sipped a lot of coffee! Let us see what humans of SigNoz were up to in the month of September 2022!

To improve reliability, we need to measure it, and to measure it we use SLOs (Service Level Objectives). Or at least, that’s what Google SRE has popularized. In practice, it can be difficult and time-consuming to identify the right things to measure, to get to the right data, and to surface the results in a way that engages the stakeholders and teams involved. And all this is especially hard as we scale our teams and applications across multiple technology stacks.

A recent Honeywell survey reinforced something many in the MSP world already knew: data centers need managed service providers. 96% of facility managers indicated remote management is important, but only 34% had remote management capabilities in place. That’s surprising in a digital world where data centers enable critical business functions and an epic business opportunity for MSPs looking to enter the data center world.

Forethought is a leading AI company providing customer service solutions that transform the customer experience. As a high-growth startup with a fast-expanding engineering org., teams had to deal with compounding complexity, leading to challenges measuring the impact and health of their services. Forethought’s core engineering team maintains common services between other internal teams, infrastructure, data, and tools and, as they added more engineers, the original team split into five.

Developing enterprise IT and software-driven consumer products is becoming more complicated by the day. The growing demand for rapid product upgrades requires streamlined performance and stability. To achieve this stability, companies need effective monitoring and observability practices.

In monitoring, the term cardinality defines the number of unique time series stored in a time series database (TSDB). The higher the cardinality, the more resources are usually required for metrics processing and querying.

Django is growing to become one of the most popular web frameworks, and it's built on top of Python, among the easiest programming languages to start with. As the number of companies releasing Django apps increases, it is natural that the need for Django monitoring will also increase. In this guide, we will share the benefits of implementing monitoring in a Django application. Without further ado, let's begin!

So, what is Universal Profiling™? Universal Profiling™ is fast emerging as an important component of observability. A standard feature inside hyperscalers since approximately 2010, the technology is slowly percolating into the wider industry. Universal Profiling™ allows you to see what your code is doing all the time, in production across a wide range of languages and can profile both user-space and kernel-space code.