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.
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.
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.
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Hybrid work has made Synthetic Monitoring vastly more important because in this home environment – devices can be unpredictable and hence impact employee productivity.