The Accelerate State of Devops Report highlights four key metrics (known as the DORA metrics, for DevOps Research & Assessment) that distinguish high-performing software organizations: deployment frequency, lead time for changes, time-to-restore, and change fail rate. Observability can kickstart a virtuous cycle that improves all the DORA metrics.
Over the past six months, we have been working on optimizing query performance in Grafana Mimir, the open source TSDB for long-term metrics storage. First, we tackled most of the out-of-memory errors in the Mimir store-gateway component by streaming results, as we discussed in a previous blog post. We also wrote about how we eliminated mmap from the store-gateway and as a result, health check timeouts largely disappeared.
If we start by sharing that AlertBot’s alert group feature lets you, well, alert certain groups, then you might wonder what earth-shattering revelations we have in store — such as water is wet, fire is hot, and the pain of Game of Throne’s final season will never, ever go away (seriously, whatever happened to Gendry?!). Yes, you’re right: the alert group feature IS about alerting groups of people about a site failure — but as George R.R.
If you work in end user computing, you’re no stranger to the irritation of mystery issues. Tickets come in weekly but no matter how many teams you talk to, or fixes you try to implement, the issues never go away. You search and search for the root cause - but can’t find it. Frustrated, you assume it’s something outside of your control. Maybe the issues is caused by home Wi-Fi or end user error. That must be it – right?
Linux server hardening means fortifying and securing a Linux server in order to protect it from vulnerabilities and threats. While total security will always remain a moving target in the security arms race, this article explores some important fundamental steps you can take to help keep your servers safe and secure.