Operations | Monitoring | ITSM | DevOps | Cloud

Nowadays, almost half of traditional small businesses (and nearly 2/3rds of small tech companies in particular) employ cloud infrastructure or hosting services, and for good reasons. As a reliable uptime monitoring service, we at Hyperping fully understand the importance of monitoring your assets to keep track of functionality and performance. Monitoring every aspect of your cloud infrastructure requires a lot of different tools. And the space is crowded!

ELK is the acronym Elasticsearch, Logstash, and Kibana, and combined together, it is one of the most popular log analytics tools. Elastic changed the license of Elasticsearch and Kibana from the fully open Apache 2 license to a proprietary dual license. The ELK stack is also hard to manage at scale. In this article, we will discuss 14 ELK alternatives that you can consider using.

Both Kibana and Grafana are data visualization tools providing users capabilities to explore, analyze and visualize data with dashboards. The difference between Kibana and Grafana lies in their genesis. Kibana was built on top of the Elasticsearch stack, famous for log analysis and management. In comparison, Grafana was created mainly for metrics monitoring supporting visualization for time-series databases.

Both DataDog and Prometheus are application monitoring tools aimed to improve application performance. While Datadog is a cloud-based SaaS solution, meaning there's no need to install or maintain any infrastructure, Prometheus is an open-source tool that requires manual download and installation on your infrastructure. Let us compare DataDog and Prometheus to see which tool suits The biggest difference between Datadog and Prometheus is that while Prometheus is open-source, Datadog is proprietary.

When creating production-level applications, enterprises want to ensure the high availability of services. This often results in a lengthy development process that requires extensive testing for the applications or a new release. This involves testing the behavior of the application under load, measuring the performance metrics, and accounting for the resource consumption. All this is done to ensure that the application does not behave unexpectedly when being used by clients.

Capturing network traffic is usually done either for security reasons or to troubleshoot networking issues. But by the time you initiate a network capture (either manually or automatically) it’s often too late already – the train has already left the station. Point in case: Say your SIEM (obviously EventSentry) detects abnormal or suspicious behavior in a log and a network capture is initiated.

Sometimes life can be pointless, and other times, it might just be that your network has stopped working, and now you have too much time to ponder the true purpose of life. If you are in that second situation, let’s get that network fixed before you start regretting your life choices. Troubleshooting is a repetitive yet rigorous process where you analyze and test individual network components like a chef checking every ingredient before cooking up a delicious dish.

Logging in Golang is an essential aspect of software development, as it helps developers monitor, troubleshoot, and analyze the behavior of their applications.