A few weeks before I sat down to write this article, I reshared my two month review of OnlineOrNot around the internet. Surprisingly, the article was quite popular: So I thought I'd clear up some confusion for the folks who only just read my two month review: I started OnlineOrNot on February 25, 2021, shipped the first version for people to use on March 2, 2021, and here I am in August writing the six month review.
Observability is one of the biggest trends in technology today. The ability to know everything, understand your system, and analyze the performance of disparate components in tandem is something that has been embraced by enterprises and start-ups alike. What additional considerations need to be made when factoring in cyber resiliency? A weekly review of the headlines reveals a slew of news covering data breaches, insider threats, or ransomware.
Application Performance Monitoring is a crucial necessity for modern businesses. No application can survive without a proper monitoring system. There are way too many things that can go wrong, so you must put your best foot forward in terms of choosing a monitoring system that is effective and economical at the same time. This guide aims to help you decide between three top application performance monitoring tools in the market - AppDynamics, Splunk, and Scout.
This morning, we announced that Grafana Labs has raised $220 million in Series C funding . As with our previous rounds in 2019 and 2020 , this funding will enable us to focus on accelerating the development of our open source observability platform and supporting the success of our community and our customers.
The HAProxy load balancer provides a set of APIs for configuring it programmatically. Although many people enjoy the simplicity of configuring their HAProxy load balancer by directly editing its configuration file, /etc/haproxy/haproxy.cfg, others want a way to do it without logging into the server. Or, they want a way that integrates with bespoke software. For example, they want to add pools of servers to the load balancer programmatically as a part of their CI/CD deployment pipeline.
Today’s software testing trends show the growing demand for more efficient and automation-oriented API testing. Many of the current test automation solutions focus on the UI, while most API-level testing is still done manually. As a result, testers are in need of easy-to-use, intelligent automation tools for testing APIs — improving their productivity and efficiency, while also reducing time-to-market.
