feat: upgrade to promethues v3.0.0 (#128)

* feat: upgrade to promethues v3.0.0

* fix: Prometheus v3.0.0 removed unsupported features

* feat: grafana minor version bump to v11.3.1

https://github.com/grafana/grafana/releases/tag/v11.3.1

* feat: added Pyroscope in docs

README.md

@@ -1,4 +1,4 @@
-# Grafana, Prometheus, Loki, Promtail, Tempo and Mimir (LGTM)
+# Grafana, Prometheus, Loki, Promtail, Tempo, Pyroscope and Mimir (LGTM)
 
 [Loki](https://grafana.com/oss/loki/) is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate, as it does not index the contents of the logs, but rather a set of labels for each log stream.
 
@@ -8,6 +8,8 @@
 
 [Mimir](https://grafana.com/oss/mimir/) lets you scale metrics to 1 billion active series and beyond, with high availability, multi-tenancy, durable storage, and blazing fast query performance over long periods of time.
 
+[Pyroscope](https://grafana.com/docs/pyroscope/latest/) is a multi-tenant, continuous profiling aggregation system, aligning its architectural design with Grafana Mimir, Grafana Loki, and Grafana Tempo. This integration enables a cohesive correlation of profiling data with existing metrics, logs, and traces.
+
 I am assuming you are already familiar with [Grafana](https://grafana.com/oss/grafana/) and [Prometheus](https://prometheus.io/docs/prometheus/latest/getting_started/)
 
 ## Prerequisites

deployment/grafana/deployment.yml

@@ -44,7 +44,7 @@ spec:
               subPath: dashboards
       containers:
       - name: grafana
-        image: docker.io/grafana/grafana:11.3.0-security-01
+        image: docker.io/grafana/grafana:11.3.1
         imagePullPolicy: IfNotPresent
         ports:
         - containerPort: 3000

deployment/prometheus/cm.yml

@@ -10,16 +10,9 @@ data:
     groups:
     - name: http_request_duration
       rules:
-      - record: job:request_duration_seconds:rate
+      - record: job:request_duration_seconds:sum_rate5m
         expr: |
-          sum(rate(hubble_http_request_duration_seconds_bucket{
-            cluster=~"${cluster}",
-            destination_namespace=~"${destination_namespace}",
-            destination_workload=~"${destination_workload}",
-            reporter="${reporter}",
-            source_namespace=~"${source_namespace}",
-            source_workload=~"${source_workload}"
-          }[5m])) by (cluster, destination_namespace, destination_workload, le)
+          sum(rate(hubble_http_request_duration_seconds_bucket{}[5m])) by (cluster, destination_namespace, destination_workload, le)
     - name: Memory
       rules:
       - alert: ContainerUsedMemoryPercent

deployment/prometheus/deployment.yml

@@ -25,19 +25,22 @@ spec:
         runAsNonRoot: true
       containers:
         - name: prometheus
-          image: docker.io/prom/prometheus:v2.55.1
+          image: docker.io/prom/prometheus:v3.0.0
           imagePullPolicy: IfNotPresent
           args:
             - '--storage.tsdb.retention.time=15d'
             - '--config.file=/etc/prometheus/prometheus.yml'
             - '--storage.tsdb.path=/prometheus/data/'
             - '--web.console.libraries=/etc/prometheus/console_libraries'
             - '--web.console.templates=/etc/prometheus/consoles'
-            - '--enable-feature=concurrent-rule-eval,promql-experimental-functions,new-service-discovery-manager,exemplar-storage,remote-write-receiver,promql-per-step-stats'
+            - '--enable-feature=concurrent-rule-eval,promql-experimental-functions,exemplar-storage,promql-per-step-stats,native-histograms'
             - '--web.enable-remote-write-receiver'
+            - '--web.enable-otlp-receiver'
             - '--web.enable-lifecycle'
             - '--log.level=warn'
             - '--log.format=json'
+            - '--no-auto-gomaxprocs'
+            - '--no-auto-gomemlimit'
           ports:
             - containerPort: 9090
               name: http