Operations | Monitoring | ITSM | DevOps | Cloud

Synthetics

Sponsored Post

Discovering Efficiency Through 2 Steps Synthetic Monitoring for Splunk

You're probably familiar with Splunk. It's one of the most popular big data solutions organisations worldwide use to monitor their systems in real-time. But you may not know that Splunk also offers synthetic monitoring solutions via 2 Steps. 2 Steps Synthetic Monitoring for Splunk is a powerful tool that can help you speed up your application troubleshooting process. Today we'll take a closer look at what it is and how it can benefit your organisation.

How Kizen Reduced Production Challenges While Saving 20% in Engineering Hours With Synthetic Monitoring

Using Checkly’s Playwright Test and GitHub sync integration helped Kizen optimize testing and monitoring workflows Kizen is a no-code, enterprise-grade Predictive Innovation Engine that enables sales, marketing, and operations teams to save time and drive higher revenues and profitability. Their product portfolio includes a flexible customer relationship manager (ƒCRM), operations cloud, automation engine, and a predictive data platform.

Two sides of the same coin: Uniting testing and monitoring with Synthetic Monitoring

Historically, software development and SRE have worked in silos with different cultural perspectives and priorities. The goal of DevOps is to establish common and complementary practices across software development and operations. Sadly, in some organizations true collaboration is rare and we still have a way to go to build effective DevOps partnerships.

Synthetic Monitoring for Azure Virtual Desktop (AVD) Applications

Synthetic Monitoring Platforms should be used for synthetic monitoring of AVD applications as they provide more complete and accurate results. These platforms are designed to work within virtualized environments and can interact with the underlying operating system, allowing for more in-depth testing and diagnosing performance issues.

Sponsored Post

Splunk Monitoring: What is it and How Can You Use it?

Over the last couple of years, there has been exponential growth in the volume and variety of machine data. The main reason has been the ever-growing number of connected machines in IT infrastructure, the sophistication of data algorithms, and the increased use of IoT devices. This data has proven to be quite valuable - even necessary - as an organisation can analyse and use it to drive productivity, improve efficiency, and gain visibility for their business. There is a catch: to make the machine data work for them, organisations need a simplified tool that can analyse and visualise. This is where Splunk comes in.

Why do enterprises need to ensure now more than ever that their mobile applications are being tested

Consumers now have an incredible choice when it comes to applications, and their expectations of the experience is very high. It is, therefore, imperative that enterprises assure their applications are working 24/7, which can only be ensured via synthetic monitoring.

How can observability cultivate collaboration among engineering teams?

If an application breaks, much time is spent shifting blame instead of solving the problem at hand. With synthetic monitoring, teams can come together to identify problems before they occur and hence assign them to the correct people to get them solved.