diff --git a/docker/dashboards/risingwave-dev-dashboard.json b/docker/dashboards/risingwave-dev-dashboard.json
index 6c178854180a..6e76e726c949 100644
--- a/docker/dashboards/risingwave-dev-dashboard.json
+++ b/docker/dashboards/risingwave-dev-dashboard.json
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diff --git a/grafana/risingwave-dev-dashboard.dashboard.py b/grafana/risingwave-dev-dashboard.dashboard.py
index 8c87c918d33f..06ae53bcb91e 100644
--- a/grafana/risingwave-dev-dashboard.dashboard.py
+++ b/grafana/risingwave-dev-dashboard.dashboard.py
@@ -14,6 +14,7 @@
 panels = Panels(datasource)
 logging.basicConfig(level=logging.WARN)
 
+
 def section_cluster_node(panels):
     return [
         panels.row("Cluster Node"),
@@ -65,6 +66,49 @@ def section_cluster_node(panels):
     ]
 
 
+def section_recovery_node(panels):
+    return [
+        panels.row("Recovery"),
+        panels.timeseries_ops(
+            "Recovery Successful Rate",
+            "The rate of successful recovery attempts",
+            [
+                panels.target(f"sum(rate({metric('recovery_latency_count')}[$__rate_interval])) by (instance)",
+                              "{{instance}}")
+            ],
+            ["last"],
+        ),
+        panels.timeseries_count(
+            "Failed recovery attempts",
+            "Total number of failed reocovery attempts",
+            [
+                panels.target(f"sum({metric('recovery_failure_cnt')}) by (instance)",
+                              "{{instance}}")
+            ],
+            ["last"],
+        ),
+        panels.timeseries_latency(
+            "Recovery latency",
+            "Time spent in a successful recovery attempt",
+            [
+                *quantile(
+                    lambda quantile, legend: panels.target(
+                        f"histogram_quantile({quantile}, sum(rate({metric('recovery_latency_bucket')}[$__rate_interval])) by (le, instance))",
+                        f"recovery latency p{legend}" +
+                        " - {{instance}}",
+                    ),
+                    [50, 90, 99, "max"],
+                ),
+                panels.target(
+                    f"sum by (le) (rate({metric('recovery_latency_sum')}[$__rate_interval])) / sum by (le) (rate({metric('recovery_latency_count')}[$__rate_interval]))",
+                    "recovery latency avg",
+                ),
+            ],
+            ["last"],
+        )
+    ]
+
+
 def section_compaction(outer_panels):
     panels = outer_panels.sub_panel()
     return [
@@ -330,7 +374,7 @@ def section_compaction(outer_panels):
                     ],
                 ),
 
-                 panels.timeseries_count(
+                panels.timeseries_count(
                     "Hummock Sstable Stat",
                     "Avg count gotten from sstable_distinct_epoch_count, for observing sstable_distinct_epoch_count",
                     [
@@ -344,7 +388,7 @@ def section_compaction(outer_panels):
                 panels.timeseries_latency(
                     "Hummock Remote Read Duration",
                     "Total time of operations which read from remote storage when enable prefetch",
-                    [                       
+                    [
                         *quantile(
                             lambda quantile, legend: panels.target(
                                 f"histogram_quantile({quantile}, sum(rate({metric('state_store_remote_read_time_per_task_bucket')}[$__rate_interval])) by (le, job, instance, table_id))",
@@ -501,7 +545,7 @@ def section_object_storage(outer_panels):
                     "Estimated S3 Cost (Monthly)",
                     "This metric uses the total size of data in S3 at this second to derive the cost of storing data "
                     "for a whole month. The price is 0.023 USD per GB. Please checkout AWS's pricing model for more "
-                    "accurate calculation.", 
+                    "accurate calculation.",
                     [
                         panels.target(
                             f"sum({metric('storage_level_total_file_size')}) by (instance) * 0.023 / 1000 / 1000",
@@ -1153,6 +1197,7 @@ def section_batch_exchange(outer_panels):
         ),
     ]
 
+
 def section_frontend(outer_panels):
     panels = outer_panels.sub_panel()
     return [
@@ -1184,7 +1229,7 @@ def section_frontend(outer_panels):
                     "",
                     [
                         panels.target(f"{metric('distributed_running_query_num')}",
-                            "The number of running query in distributed execution mode"),
+                                      "The number of running query in distributed execution mode"),
                     ],
                     ["last"],
                 ),
@@ -1193,7 +1238,7 @@ def section_frontend(outer_panels):
                     "",
                     [
                         panels.target(f"{metric('distributed_rejected_query_counter')}",
-                            "The number of rejected query in distributed execution mode"),
+                                      "The number of rejected query in distributed execution mode"),
                     ],
                     ["last"],
                 ),
@@ -1202,7 +1247,7 @@ def section_frontend(outer_panels):
                     "",
                     [
                         panels.target(f"{metric('distributed_completed_query_counter')}",
-                            "The number of completed query in distributed execution mode"),
+                                      "The number of completed query in distributed execution mode"),
                     ],
                     ["last"],
                 ),
@@ -1745,6 +1790,7 @@ def section_hummock_tiered_cache(outer_panels):
         )
     ]
 
+
 def section_hummock_manager(outer_panels):
     panels = outer_panels.sub_panel()
     total_key_size_filter = "metric='total_key_size'"
@@ -1891,6 +1937,7 @@ def section_hummock_manager(outer_panels):
         )
     ]
 
+
 def section_backup_manager(outer_panels):
     panels = outer_panels.sub_panel()
     return [
@@ -1916,7 +1963,7 @@ def section_backup_manager(outer_panels):
                                 f"histogram_quantile({quantile}, sum(rate({metric('backup_job_latency_bucket')}[$__rate_interval])) by (le, state))",
                                 f"Job Process Time p{legend}" +
                                 " - {{state}}",
-                                ),
+                            ),
                             [50, 99, 999, "max"],
                         ),
                     ],
@@ -1925,6 +1972,7 @@ def section_backup_manager(outer_panels):
         )
     ]
 
+
 def grpc_metrics_target(panels, name, filter):
     return panels.timeseries_latency_small(
         f"{name} latency",
@@ -2166,6 +2214,7 @@ def section_grpc_hummock_meta_client(outer_panels):
         ),
     ]
 
+
 def section_memory_manager(outer_panels):
     panels = outer_panels.sub_panel()
     return [
@@ -2236,6 +2285,7 @@ def section_memory_manager(outer_panels):
         ),
     ]
 
+
 def section_connector_node(outer_panels):
     panels = outer_panels.sub_panel()
     return [
@@ -2256,6 +2306,7 @@ def section_connector_node(outer_panels):
         )
     ]
 
+
 templating = Templating()
 if namespace_filter_enabled:
     templating = Templating(
@@ -2295,6 +2346,7 @@ def section_connector_node(outer_panels):
     version=dashboard_version,
     panels=[
         *section_cluster_node(panels),
+        *section_recovery_node(panels),
         *section_streaming(panels),
         *section_streaming_actors(panels),
         *section_streaming_exchange(panels),
diff --git a/grafana/risingwave-dev-dashboard.json b/grafana/risingwave-dev-dashboard.json
index 6c178854180a..6e76e726c949 100644
--- a/grafana/risingwave-dev-dashboard.json
+++ b/grafana/risingwave-dev-dashboard.json
@@ -1 +1 @@
-{"__inputs":[],"annotations":{"list":[]},"description":"RisingWave Dev 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":"Cluster Node","transformations":[],"transparent":false,"type":"row"},{"cacheTimeout":null,"datasource":null,"description":"The number of each type of RisingWave components alive.","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":""},"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":["last"],"displayMode":"table","placement":"right"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"sum(worker_num) by (worker_type)","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"{{worker_type}}","metric":"","query":"sum(worker_num) by (worker_type)","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Node Count","transformations":[],"transparent":false,"type":"timeseries"},{"cacheTimeout":null,"datasource":null,"description":"The memory usage of each RisingWave component.","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":"bytes"},"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":[],"displayMode":"list","placement":"bottom"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"avg(process_resident_memory_bytes) by (job,instance)","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"{{job}} @ {{instance}}","metric":"","query":"avg(process_resident_memory_bytes) by (job,instance)","refId":"","step":10,"target":""}],"timeFrom":null,"timeShift":null,"title":"Node Memory","transformations":[],"transparent":false,"type":"timeseries"},{"cacheTimeout":null,"datasource":null,"description":"The CPU usage of each RisingWave component.","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":"percentunit"},"overrides":[]},"gridPos":{"h":8,"w":12,"x":0,"y":9},"height":null,"hideTimeOverride":false,"id":4,"interval":null,"links":[],"maxDataPoints":100,"maxPerRow":null,"minSpan":null,"options":{"legend":{"calcs":[],"displayMode":"list","placement":"bottom"},"tooltip":{"mode":"single"}},"repeat":null,"repeatDirection":null,"span":null,"targets":[{"datasource":{"type":"prometheus","uid":"risedev-prometheus"},"expr":"sum(rate(process_cpu_seconds_total[$__rate_interval])) by (job,instance)","format":"time_series","hide":false,"instant":false,"interval":"","intervalFactor":2,"legendFormat":"cpu - 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diff --git a/src/meta/src/barrier/recovery.rs b/src/meta/src/barrier/recovery.rs
index e42758e138ad..def597f5a840 100644
--- a/src/meta/src/barrier/recovery.rs
+++ b/src/meta/src/barrier/recovery.rs
@@ -24,7 +24,8 @@ use risingwave_pb::common::{ActorInfo, WorkerNode, WorkerType};
 use risingwave_pb::stream_plan::barrier::Mutation;
 use risingwave_pb::stream_plan::AddMutation;
 use risingwave_pb::stream_service::{
-    BroadcastActorInfoTableRequest, BuildActorsRequest, ForceStopActorsRequest, UpdateActorsRequest,
+    BarrierCompleteResponse, BroadcastActorInfoTableRequest, BuildActorsRequest,
+    ForceStopActorsRequest, UpdateActorsRequest,
 };
 use tokio_retry::strategy::{jitter, ExponentialBackoff};
 use tracing::{debug, error, warn};
@@ -119,90 +120,103 @@ where
             .await
             .expect("clean dirty fragments");
         let retry_strategy = Self::get_retry_strategy();
-        let (new_epoch, _responses) = tokio_retry::Retry::spawn(retry_strategy, || async {
-            let mut info = self.resolve_actor_info_for_recovery().await;
-            let mut new_epoch = prev_epoch.next();
-
-            // Migrate actors in expired CN to newly joined one.
-            let migrated = self.migrate_actors(&info).await.inspect_err(|err| {
-                error!(err = ?err, "migrate actors failed");
-            })?;
-            if migrated {
-                info = self.resolve_actor_info_for_recovery().await;
-            }
 
-            // Reset all compute nodes, stop and drop existing actors.
-            self.reset_compute_nodes(&info).await.inspect_err(|err| {
-                error!(err = ?err, "reset compute nodes failed");
-            })?;
-
-            // update and build all actors.
-            self.update_actors(&info).await.inspect_err(|err| {
-                error!(err = ?err, "update actors failed");
-            })?;
-            self.build_actors(&info).await.inspect_err(|err| {
-                error!(err = ?err, "build_actors failed");
-            })?;
-
-            // get split assignments for all actors
-            let source_split_assignments = self.source_manager.list_assignments().await;
-            let command = Command::Plain(Some(Mutation::Add(AddMutation {
-                // Actors built during recovery is not treated as newly added actors.
-                actor_dispatchers: Default::default(),
-                added_actors: Default::default(),
-                actor_splits: build_actor_connector_splits(&source_split_assignments),
-            })));
-
-            let prev_epoch = new_epoch;
-            new_epoch = prev_epoch.next();
-            // checkpoint, used as init barrier to initialize all executors.
-            let command_ctx = Arc::new(CommandContext::new(
-                self.fragment_manager.clone(),
-                self.snapshot_manager.clone(),
-                self.env.stream_client_pool_ref(),
-                info,
-                prev_epoch,
-                new_epoch,
-                command,
-                true,
-                self.source_manager.clone(),
-            ));
-
-            #[cfg(not(all(test, feature = "failpoints")))]
-            {
-                use risingwave_common::util::epoch::INVALID_EPOCH;
-
-                let mce = self
-                    .hummock_manager
-                    .get_current_version()
-                    .await
-                    .max_committed_epoch;
-
-                if mce != INVALID_EPOCH {
-                    command_ctx.wait_epoch_commit(mce).await?;
+        // We take retry into consideration because this is the latency user sees for a cluster to
+        // get recovered.
+        let recovery_timer = self.metrics.recovery_latency.start_timer();
+        let (new_epoch, _responses) = tokio_retry::Retry::spawn(retry_strategy, || async {
+            let recovery_result: MetaResult<(Epoch, Vec<BarrierCompleteResponse>)> = try {
+                let mut info = self.resolve_actor_info_for_recovery().await;
+                let mut new_epoch = prev_epoch.next();
+
+                // Migrate actors in expired CN to newly joined one.
+                let migrated = self.migrate_actors(&info).await.inspect_err(|err| {
+                    error!(err = ?err, "migrate actors failed");
+                })?;
+                if migrated {
+                    info = self.resolve_actor_info_for_recovery().await;
                 }
-            }
 
-            let (barrier_complete_tx, mut barrier_complete_rx) =
-                tokio::sync::mpsc::unbounded_channel();
-            self.inject_barrier(command_ctx.clone(), &barrier_complete_tx)
-                .await;
-            match barrier_complete_rx.recv().await.unwrap().result {
-                Ok(response) => {
-                    if let Err(err) = command_ctx.post_collect().await {
-                        error!(err = ?err, "post_collect failed");
-                        return Err(err);
+                // Reset all compute nodes, stop and drop existing actors.
+                self.reset_compute_nodes(&info).await.inspect_err(|err| {
+                    error!(err = ?err, "reset compute nodes failed");
+                })?;
+
+                // update and build all actors.
+                self.update_actors(&info).await.inspect_err(|err| {
+                    error!(err = ?err, "update actors failed");
+                })?;
+                self.build_actors(&info).await.inspect_err(|err| {
+                    error!(err = ?err, "build_actors failed");
+                })?;
+
+                // get split assignments for all actors
+                let source_split_assignments = self.source_manager.list_assignments().await;
+                let command = Command::Plain(Some(Mutation::Add(AddMutation {
+                    // Actors built during recovery is not treated as newly added actors.
+                    actor_dispatchers: Default::default(),
+                    added_actors: Default::default(),
+                    actor_splits: build_actor_connector_splits(&source_split_assignments),
+                })));
+
+                let prev_epoch = new_epoch;
+                new_epoch = prev_epoch.next();
+                // checkpoint, used as init barrier to initialize all executors.
+                let command_ctx = Arc::new(CommandContext::new(
+                    self.fragment_manager.clone(),
+                    self.snapshot_manager.clone(),
+                    self.env.stream_client_pool_ref(),
+                    info,
+                    prev_epoch,
+                    new_epoch,
+                    command,
+                    true,
+                    self.source_manager.clone(),
+                ));
+
+                #[cfg(not(all(test, feature = "failpoints")))]
+                {
+                    use risingwave_common::util::epoch::INVALID_EPOCH;
+
+                    let mce = self
+                        .hummock_manager
+                        .get_current_version()
+                        .await
+                        .max_committed_epoch;
+
+                    if mce != INVALID_EPOCH {
+                        command_ctx.wait_epoch_commit(mce).await?;
                     }
-                    Ok((new_epoch, response))
-                }
-                Err(err) => {
-                    error!(err = ?err, "inject_barrier failed");
-                    Err(err)
                 }
+
+                let (barrier_complete_tx, mut barrier_complete_rx) =
+                    tokio::sync::mpsc::unbounded_channel();
+                self.inject_barrier(command_ctx.clone(), &barrier_complete_tx)
+                    .await;
+                let res = match barrier_complete_rx.recv().await.unwrap().result {
+                    Ok(response) => {
+                        if let Err(err) = command_ctx.post_collect().await {
+                            error!(err = ?err, "post_collect failed");
+                            Err(err)
+                        } else {
+                            Ok((new_epoch, response))
+                        }
+                    }
+                    Err(err) => {
+                        error!(err = ?err, "inject_barrier failed");
+                        Err(err)
+                    }
+                };
+                res?
+            };
+            if recovery_result.is_err() {
+                self.metrics.recovery_failure_cnt.inc();
             }
+            recovery_result
         })
         .await
         .expect("Retry until recovery success.");
+        recovery_timer.observe_duration();
         tracing::info!("recovery success");
 
         new_epoch
diff --git a/src/meta/src/rpc/metrics.rs b/src/meta/src/rpc/metrics.rs
index 78d16bb92028..ebc82a7bed16 100644
--- a/src/meta/src/rpc/metrics.rs
+++ b/src/meta/src/rpc/metrics.rs
@@ -20,9 +20,9 @@ use prometheus::core::{AtomicF64, GenericGaugeVec};
 use prometheus::{
     exponential_buckets, histogram_opts, register_gauge_vec_with_registry,
     register_histogram_vec_with_registry, register_histogram_with_registry,
-    register_int_counter_vec_with_registry, register_int_gauge_vec_with_registry,
-    register_int_gauge_with_registry, Histogram, HistogramVec, IntCounterVec, IntGauge,
-    IntGaugeVec, Registry,
+    register_int_counter_vec_with_registry, register_int_counter_with_registry,
+    register_int_gauge_vec_with_registry, register_int_gauge_with_registry, Histogram,
+    HistogramVec, IntCounter, IntCounterVec, IntGauge, IntGaugeVec, Registry,
 };
 use risingwave_object_store::object::object_metrics::ObjectStoreMetrics;
 use risingwave_pb::common::WorkerType;
@@ -36,14 +36,22 @@ use crate::storage::MetaStore;
 pub struct MetaMetrics {
     pub registry: Registry,
 
+    /// ********************************** Meta ************************************
+    /// The number of workers in the cluster.
+    pub worker_num: IntGaugeVec,
+    /// The roles of all meta nodes in the cluster.
+    pub meta_type: IntGaugeVec,
+
+    /// ********************************** gRPC ************************************
     /// gRPC latency of meta services
     pub grpc_latency: HistogramVec,
+
+    /// ********************************** Barrier ************************************
     /// The duration from barrier injection to commit
     /// It is the sum of inflight-latency, sync-latency and wait-commit-latency
     pub barrier_latency: Histogram,
     /// The duration from barrier complete to commit
     pub barrier_wait_commit_latency: Histogram,
-
     /// Latency between each barrier send
     pub barrier_send_latency: Histogram,
     /// The number of all barriers. It is the sum of barriers that are in-flight or completed but
@@ -52,6 +60,11 @@ pub struct MetaMetrics {
     /// The number of in-flight barriers
     pub in_flight_barrier_nums: IntGauge,
 
+    /// ********************************** Recovery ************************************
+    pub recovery_failure_cnt: IntCounter,
+    pub recovery_latency: Histogram,
+
+    /// ********************************** Hummock ************************************
     /// Max committed epoch
     pub max_committed_epoch: IntGauge,
     /// The smallest epoch that has not been GCed.
@@ -64,7 +77,7 @@ pub struct MetaMetrics {
     pub level_compact_cnt: IntGaugeVec,
     /// The number of compact tasks
     pub compact_frequency: IntCounterVec,
-
+    /// Size of each level
     pub level_file_size: IntGaugeVec,
     /// Hummock version size
     pub version_size: IntGauge,
@@ -94,30 +107,24 @@ pub struct MetaMetrics {
     pub delta_log_count: IntGauge,
     /// latency of version checkpoint
     pub version_checkpoint_latency: Histogram,
-
     /// Latency for hummock manager to acquire lock
     pub hummock_manager_lock_time: HistogramVec,
-
     /// Latency for hummock manager to really process a request after acquire the lock
     pub hummock_manager_real_process_time: HistogramVec,
-
-    pub time_after_last_observation: AtomicU64,
-
-    /// The number of workers in the cluster.
-    pub worker_num: IntGaugeVec,
+    /// The number of compactions from one level to another level that have been skipped
     pub compact_skip_frequency: IntCounterVec,
-
-    /// The roles of all meta nodes in the cluster.
-    pub meta_type: IntGaugeVec,
-
-    /// compaction
+    /// Bytes of lsm tree needed to reach balance
     pub compact_pending_bytes: IntGaugeVec,
+    /// Per level compression ratio
     pub compact_level_compression_ratio: GenericGaugeVec<AtomicF64>,
-
     /// The number of compactor CPU need to be scale.
     pub scale_compactor_core_num: IntGauge,
-
+    /// Per level number of running compaction task
     pub level_compact_task_cnt: IntGaugeVec,
+    pub time_after_last_observation: AtomicU64,
+
+    /// ********************************** Object Store ************************************
+    // Object store related metrics (for backup/restore and version checkpoint)
     pub object_store_metric: Arc<ObjectStoreMetrics>,
 }
 
@@ -383,15 +390,29 @@ impl MetaMetrics {
         .unwrap();
         let object_store_metric = Arc::new(ObjectStoreMetrics::new(registry.clone()));
 
+        let recovery_failure_cnt = register_int_counter_with_registry!(
+            "recovery_failure_cnt",
+            "Number of failed recovery attempts",
+            registry
+        )
+        .unwrap();
+        let opts = histogram_opts!(
+            "recovery_latency",
+            "Latency of the recovery process",
+            exponential_buckets(0.1, 1.5, 20).unwrap() // max 221s
+        );
+        let recovery_latency = register_histogram_with_registry!(opts, registry).unwrap();
+
         Self {
             registry,
-
             grpc_latency,
             barrier_latency,
             barrier_wait_commit_latency,
             barrier_send_latency,
             all_barrier_nums,
             in_flight_barrier_nums,
+            recovery_failure_cnt,
+            recovery_latency,
 
             max_committed_epoch,
             safe_epoch,