PromQL Macros in Levitate
Define PromQL Macros to standardize complex PromQL queries in Levitate.
The latest News and Information on Service Reliability Engineering and related technologies.
Define PromQL Macros to standardize complex PromQL queries in Levitate.
A detailed comparison of Levitate and Google Managed Prometheus - Cost, Scale and Ease of Use.
Observability is being built by engineers for engineers. In reality, o11y is for all.
Let’s be honest. When you see an alert pop up on your phone, you aren’t thinking “according to section 12 of our most recent SRE handbook used at training 6 months ago I need to keep in mind who should be Incident Commander and who should be Ops Lead”. You’re an engineer at heart.
What does the Rasmussen model teach us about Site Reliability Engineering?
Very few SaaS products exist completely independently. Between cloud service providers, payment processors, content delivery networks, and more, chances are you rely on external systems to keep your product working. When these systems fail, it can leave you feeling pretty helpless. In some cases you might have fallback options, but oftentimes all you can do is wait for recovery and clean up the fallout.
Using 'Sharding' to tame High Cardinality data for Levitate - Our Time Series Data Warehouse.
We are excited to announce that we have raised a $12M round of financing led by Renegade Partners with participation from Google Gradient Ventures (Google’s AI-focused venture fund) and XYZ Ventures. This brings our total funding to date to $15.2M ($20M CAD) alongside our other existing investors Y Combinator and 8VC.