Code profilers offer detailed insight into the efficiency of application code by measuring things like the execution time and resource utilization of a service. Datadog’s always-on, low overhead Continuous Profiler provides snapshots of code performance for a service that are tagged with key metadata (e.g., region, service, release), so you can easily identify and optimize inefficient code.
Serverless computing is on the rise, having already earned the mantle of “The Next Big Thing”. For developers, serverless computing means less concern regarding infrastructure when deploying code, as all computing resources are dynamically provisioned by the cloud provider. Pricing is generally on a pay-as-you-use model and is based on resources consumed – which is in line with modern business principles of “on-demand”, flexibility and rapid scaling.
HAProxy provides active, passive, and agent health checks. HAProxy makes your web applications highly available by spreading requests across a pool of backend servers. If one or even several servers fail, clients can still use your app as long as there are other servers still running. The caveat is, HAProxy needs to know which servers are healthy. That’s why health checks are crucial.
Picking the right performance testing tool can be a challenge. What should you look for and what is important? Performance testing is a phrase many developers have come across at some point, but what is it exactly? In simple terms, performance testing is a software testing practice used to determine stability, responsiveness, scalability, and most important, speed of the application under a given workload.
Here at Grafana, we’re constantly shipping new features to help our users get the most out of Grafana Cloud. Over the last few months, we’ve made it even easier to get started with out-of-the-box dashboards and new visualizations in Grafana Cloud. We also introduced capabilities like query caching, a “prettify JSON” option and commands for cortex-tools to make your data, dashboards, and queries more efficient.
Application performance monitoring (APM) is important for the development of any web app. But monitoring software is not an easy process; you have to observe various metrics and be calculative in observing measurements like the application’s speed, error percentage, memory bloat, number of API calls per day, and much more.
