diff --git a/docker/dashboards/risingwave-user-dashboard.json b/docker/dashboards/risingwave-user-dashboard.json
index 76c6d62ccd4b3..20deac08bd8a5 100644
--- a/docker/dashboards/risingwave-user-dashboard.json
+++ b/docker/dashboards/risingwave-user-dashboard.json
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diff --git a/grafana/risingwave-user-dashboard.dashboard.py b/grafana/risingwave-user-dashboard.dashboard.py
index 934aaa342e5a2..e666095045eeb 100644
--- a/grafana/risingwave-user-dashboard.dashboard.py
+++ b/grafana/risingwave-user-dashboard.dashboard.py
@@ -57,7 +57,48 @@ def section_overview(panels):
             ],
         ),
         panels.timeseries_count(
-            "Errors by Type",
+            "Alerts",
+            """Alerts in the system group by type:
+            - Too Many Barriers: there are too many uncommitted barriers generated. This means the streaming graph is stuck or under heavy load. Check 'Barrier Latency' panel.
+            - Recovery Triggered: cluster recovery is triggered. Check 'Errors by Type' / 'Node Count' panels.
+            - Lagging Version: the checkpointed or pinned version id is lagging behind the current version id. Check 'Hummock Manager' section in dev dashboard.
+            - Lagging Epoch: the pinned or safe epoch is lagging behind the current max committed epoch. Check 'Hummock Manager' section in dev dashboard.
+            - Lagging Compaction: there are too many files in L0. This can be caused by compactor failure or lag of compactor resource. Check 'Compaction' section in dev dashboard.
+            - Lagging Vacuum: there are too many stale files waiting to be cleaned. This can be caused by compactor failure or lag of compactor resource. Check 'Compaction' section in dev dashboard.
+            """,
+            [
+                panels.target(
+                    f"{metric('all_barrier_nums')} >= bool 200",
+                    "Too Many Barriers",
+                ),
+                panels.target(
+                    f"sum(rate({metric('recovery_latency_count')}[$__rate_interval])) > bool 0 + sum({metric('recovery_failure_cnt')}) > bool 0",
+                    "Recovery Triggered",
+                ),
+                panels.target(
+                    f"(({metric('storage_current_version_id')} - {metric('storage_checkpoint_version_id')}) >= bool 100) + " + 
+                    f"(({metric('storage_current_version_id')} - {metric('storage_min_pinned_version_id')}) >= bool 100)",
+                    "Lagging Version",
+                ),
+                panels.target(
+                    f"(({metric('storage_max_committed_epoch')} - {metric('storage_min_pinned_epoch')}) >= bool 6553600000 unless + {metric('storage_min_pinned_epoch')} == 0) + " + 
+                    f"(({metric('storage_max_committed_epoch')} - {metric('storage_safe_epoch')}) >= bool 6553600000 unless + {metric('storage_safe_epoch')} == 0)",
+                    "Lagging Epoch",
+                ),
+                panels.target(
+                    f"sum(label_replace({metric('storage_level_sst_num')}, 'L0', 'L0', 'level_index', '.*_L0') unless " + 
+                    f"{metric('storage_level_sst_num')}) by (L0) >= bool 200",
+                    "Lagging Compaction",
+                ),
+                panels.target(
+                    f"{metric('storage_stale_object_count')} >= bool 200",
+                    "Lagging Vacuum",
+                ),
+            ],
+            ["last"],
+        ),
+        panels.timeseries_count(
+            "Errors",
             "Errors in the system group by type",
             [
                 panels.target(
@@ -66,7 +107,11 @@ def section_overview(panels):
                 ),
                 panels.target(
                     f"sum({metric('user_source_error_count')}) by (error_type, error_msg, fragment_id, table_id, executor_name)",
-                    "source error {{error_type}}: {{error_msg}} ({{executor_name}}: table_id={{table_id}}, fragment_id={{fragment_id}})",
+                    "parse error {{error_type}}: {{error_msg}} ({{executor_name}}: table_id={{table_id}}, fragment_id={{fragment_id}})",
+                ),
+                panels.target(
+                     f"{metric('source_status_is_up')} == 0",
+                    "source error: source_id={{source_id}}, source_name={{source_name}} @ {{instance}}",
                 ),
                 panels.target(
                     f"sum(rate({metric('object_store_failure_count')}[$__rate_interval])) by (instance, job, type)",
diff --git a/grafana/risingwave-user-dashboard.json b/grafana/risingwave-user-dashboard.json
index 76c6d62ccd4b3..20deac08bd8a5 100644
--- a/grafana/risingwave-user-dashboard.json
+++ b/grafana/risingwave-user-dashboard.json
@@ -1 +1 @@
-{"__inputs":[],"annotations":{"list":[]},"description":"RisingWave Dashboard","editable":true,"gnetId":null,"graphTooltip":0,"hideControls":false,"id":null,"links":[],"panels":[{"cacheTimeout":null,"collapsed":false,"datasource":null,"description":null,"editable":true,"error":false,"fieldConfig":{"defaults":{"thresholds":{"mode":"absolute","steps":[]}}},"gridPos":{"h":1,"w":24,"x":0,"y":0},"height":null,"hideTimeOverride":false,"id":1,"interval":null,"links":[],"maxDataPoints":100,"maxPerRow":null,"minSpan":null,"panels":[],"repeat":null,"repeatDirection":null,"span":null,"targets":[],"timeFrom":null,"timeShift":null,"title":"Overview","transformations":[],"transparent":false,"type":"row"},{"cacheTimeout":null,"datasource":null,"description":"The figure shows the number of rows read by each source per second.","editable":true,"error":false,"fieldConfig":{"defaults":{"color":{"mode":"palette-classic"},"custom":{"axisLabel":"","axisPlacement":"auto","barAlignment":0,"drawStyle":"line","fillOpacity":10,"gradientMode":"none","hideFrom":{"legend":false,"tooltip":false,"viz":false},"lineInterpolation":"linear","lineWidth":1,"pointSize":5,"scaleDistribution":{"log":2,"type":"linear"},"showPoints":"auto","spanNulls":false,"stacking":{},"thresholdsStyle":{"mode":"off"}},"mappings":[],"thresholds":{"mode":"absolute","steps":[]},"unit":"rows/s"},"overrides":[]},"gridPos":{"h":8,"w":12,"x":0,"y":1},"height":null,"hideTimeOverride":false,"id":2,"interval":null,"links":[],"maxDataPoints":100,"maxPerRow":null,"minSpan":null,"options":{"legend":{"calcs":["mean"],"displayMode":"table","placement":"right"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"sum(rate(stream_source_output_rows_counts[$__rate_interval])) by (source_name)","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"{{source_name}}","metric":"","query":"sum(rate(stream_source_output_rows_counts[$__rate_interval])) by (source_name)","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Aggregated Source Throughput(rows/s)","transformations":[],"transparent":false,"type":"timeseries"},{"cacheTimeout":null,"datasource":null,"description":"The figure shows the number of bytes read by each source per second.","editable":true,"error":false,"fieldConfig":{"defaults":{"color":{"mode":"palette-classic"},"custom":{"axisLabel":"","axisPlacement":"auto","barAlignment":0,"drawStyle":"line","fillOpacity":10,"gradientMode":"none","hideFrom":{"legend":false,"tooltip":false,"viz":false},"lineInterpolation":"linear","lineWidth":1,"pointSize":5,"scaleDistribution":{"log":2,"type":"linear"},"showPoints":"auto","spanNulls":false,"stacking":{},"thresholdsStyle":{"mode":"off"}},"mappings":[],"thresholds":{"mode":"absolute","steps":[]},"unit":"MB/s"},"overrides":[]},"gridPos":{"h":8,"w":12,"x":12,"y":1},"height":null,"hideTimeOverride":false,"id":3,"interval":null,"links":[],"maxDataPoints":100,"maxPerRow":null,"minSpan":null,"options":{"legend":{"calcs":["mean"],"displayMode":"table","placement":"right"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"(sum by (source_id)(rate(partition_input_bytes[$__rate_interval])))/(1000*1000)","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"source_id {{source_id}}","metric":"","query":"(sum by (source_id)(rate(partition_input_bytes[$__rate_interval])))/(1000*1000)","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Aggregated Source Throughput(MB/s)","transformations":[],"transparent":false,"type":"timeseries"},{"cacheTimeout":null,"datasource":null,"description":"The time that the data between two consecutive barriers gets fully processed, i.e. the computation results are made durable into materialized views or sink to external systems. 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