Oct 29, 2019 | By PerfOps
We are happy to announce the beta release of our cloud performance and uptime data. PerfOps now collects data for all popular cloud providers such as AWS, Google, DigitalOcean, Vultr and soon even more. You can now decide which region makes more sense for you not just on a general feeling and pricing but on concrete data from all over the world.
Aug 22, 2019 | By PerfOps
You now have the option to group CDN data by USA states and analyze the performance of CDN providers or your own custom infrastructure in USA in much higher detail. Combine your findings with our networking tools to run tests from USA on-demand and fix your performance issues.
Jul 30, 2019 | By PerfOps
Using a Content Delivery Network (CDN) is one of the most effective ways of increasing the performance of delivering static content to your end users. CDNs operate by caching your static content in a globally distributed network and delivering that same content to your end users at the nearest point of presence. There is nothing magical about why CDNs are fast, they simply use the laws of physics. It takes a shorter amount of time to walk one block than it does one mile.
Jul 15, 2019 | By PerfOps
PerfOps began as a fully remote company with team members located all over the world. It allowed us to hire fast and move fast. But as the team grew the effective communication became a problem, especially because of the complexity of the products we are building. Now as we need to grow even faster it became apparent that to do that we need all team-members working and interacting in the same office.
Jul 11, 2019 | By PerfOps
Our latest product release contains plenty of new features, so we decided to list the major ones that our users will find most exciting. We now make it even simpler to debug your load-balancing by providing access to raw logs for FlexBalancer. All requests hitting our backend are now logged and available for analysis by our customers directly on the Analytics page. When you setup complex load-balancing rules it could be hard to understand how it will perform in some rare use-cases.