So far, we’ve learnt how to collect data (part 2) and pull it into Azure Log Analytics (part 3), as well as how to actually work with the data using Kusto (part 4). Now it’s time to explore how we can visualize this data, make dashboards, share them with other teams in our organizations and so on. Unfortunately, dashboarding in Azure is not very sophisticated, and neither is it centralized.

Dynamic pricing has become the norm in online retailing. The dynamic pricing method is successful in attracting customer’s attention and also increases profitability for online retailers. It requires you to have a large amount of data in hand like competitors’ pricing, details concerning products and customers, and difference between supply and demand.

If you’re a developer, you know all about APIs. However, if you’re in a non-technical role, you may not have the information you need to make educated decisions about the APIs your company offers and uses. In this article, we will take you through the API basics: what they are, how they work, why they’re important, and what you can do to protect your business’s reliance on API performance and uptime.

Whether it is due to the scare of the Coronavirus, inability to hire locally with the competitive job market, or the growing trend of offering flexible workstyles, more organizations are offering work from home or remote working options. As someone who has worked remotely for the past 10 years, I know more often than not my days start sooner than most in the office and end later as I have no commute to worry about.

It’s common for modern businesses to rely on 2,000+ custom-developed applications and it requires substantial cost, time and effort to ensure 24/7 optimal performance of those applications. IT Ops teams depend on advanced application performance monitoring (APM) to scale up key business capabilities and boost innovation. But the APM tools that provide the deepest insights for critical applications are extremely expensive and are cumbersome to deploy.

Using dashboards in Cloud Monitoring makes it easy for you to track important system metrics. Creating dashboards by hand in the Monitoring UI can be a time-consuming process, especially if you want to use them in multiple different Monitoring Workspaces. With the recent GA announcement for the Cloud Monitoring dashboards API, you now have a way to programmatically create dashboards.

After a closed beta test of 3 months, we’re finally making Uptime Monitoring in iLert generally available. And the best of all, uptime monitoring will be included on all our existing plans at no additional cost.

In this guest article, SRE experts John Arundel and Andy Pearson show you how to connect your Checkly data to Prometheus and Grafana, as part of an integrated observability pipeline.