Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Black Hat 2023 Recap: The Future is Artificial

After a solid week in Vegas and another solid week of recovery, I’m back in the office (AKA sitting on my couch eating Doritos with chopsticks so I don’t get my keyboard dirty) to bring you my official Black Hat 2023 recap. This year’s event was noticeably scaled back, with fewer people swag surfing the business hall and more technical security folks in search of solutions for actual business problems.

Dashboard Stories: Gamified bug bash tracking

We love a ‘bug bash’ here at SquaredUp, so we regularly encourage our developers and testers to down tools on major features to go after smaller issues that have been 'bugging' them. This dashboard helps us measure the success of the teams latest bug bash and adds a little gamification for some competitive fun! Using the Jira plugin in SquaredUp, we can stream our data on demand into this centralized dashboard for the whole team. Now we can easily see how we're doing against our target, without having to trawl through Jira.

How we scaled Grafana Cloud Logs' memcached cluster to 50TB and improved reliability

Grafana Loki is an open source logs database built on object storage services in the cloud. These services are an essential component in enabling Loki to scale to tremendous levels. However, like all SaaS products, object storage services have their limits — and we started to crash into those limits in Grafana Cloud Logs, our SaaS offering of Grafana Loki.

Splunk and the Four Golden Signals

Last October, Splunk Observability Evangelist Jeremy Hicks wrote a great piece here about the Four Golden Signals of monitoring. Jeremy’s blog comes from the perspective of monitoring distributed cloud services with Splunk Observability Cloud, but the concepts of Four Golden Signals apply just as readily to monitoring traditional on-premises services and IT infrastructure.

Fixing Docker's Slow Performance on MacOS

Docker is designed for Linux. It works most efficiently on Linux systems due to its close integration with the Linux kernel. When handling large filesystems, like the ones built with PHP and Node, Docker desktop (MacOS Environment) experiences significant lag. The main reason is how file synchronization is implemented in Docker for Mac. Plus, disk space consuming behavior of such big PHP Projects.