Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Django Monitoring and APM Benefits

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!

Elastic Universal Profiling helps you deliver fast, affordable, and efficient services

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.

The Monitoring Problem: Too Many Tools + Too Much Time = No Room for Innovation

Continuous availability and unceasing innovation are prerequisites for today’s digital businesses. So it makes sense that business leaders invest heavily in teams and tools to monitor digital apps and services. In theory, these tools should also free up time for engineers to push new functionalities that wow customers. But do these investments actually result in more uptime and customer-delighting innovations?

TL;DR Deep Linking Dashboards

If you’re an InfluxDB and InfluxDB UI user, you’ve almost certainly created dashboards. However, if you’re building dozens of dashboards in the InfluxDB UI, you might have come across the need to deep link related dashboards. In this tutorial we’ll learn how we can use the table view with Flux, string interpolation, and variables to deep link users to other dashboards.

Reimagining nmon Using InfluxDB

IBM engineer Nigel Griffiths built nmon in the 1990s to monitor operating system performance data for AIX. Since its original launch, Griffiths revisited and revamped nmon. For example, he built an open-source version for Linux. Despite drastic change in the very nature of computing and exponential growth in storage, memory, and compute power, it wasn’t until 2018 that Griffiths sought to completely re-write the tool and bring it into alignment with modern computer systems.

How to Monitor Google Cloud Interconnect and Network Performance

Google Cloud Interconnect promises data transfers with low latency, and high availability - but how can you make sure that it’s actually performing as promised? Continuously monitoring Google Cloud Interconnect performance is the key to identifying slowdowns, high levels of packet loss, and other problems affecting Google Cloud. Keep reading to learn how to do it all in minutes using Obkio Network Monitoring!

Sponsored Post

Core Web Vitals e-commerce analysis: part two

In 2021, Google introduced Core Web Vitals, three criteria to measure if a website is fast, stable, and responsive enough to give visitors a good digital experience. These factor into search ranking and have a powerful influence on customer behavior. But while Google has been urging the web performance community to get on board for more than two years, many are still falling short. We pulled data from the Chrome User Experience Report to conduct our own Core Web Vitals analysis, finding that even some of the largest e-commerce brands aren't passing these thresholds.

Sponsored Post

What Is a Business Service & How Can AIOps Support It?

We talk a lot about business services and how to keep them running at peak efficiency, but every now and then these questions arise: what exactly is a business service, how can I provide the best possible experience to my users, and how does it affect the performance of my IT estate?

Device discovery: The path to total network visibility

For an organization to prevent cyberattacks, it first needs complete visibility into all the events that occur within its network. With this visibility, the organization can analyze risky behavior by users and entities, and take the necessary steps to proactively secure itself. However, if an attack were to still happen, the organization again needs complete visibility to identify how and from where the attacker entered the network.