Grafana Tempo Streaming Pipeline: Real-Time Trace Processing
Grafana Tempo Streaming Pipeline: Real-Time Trace Processing — practical guide covering tempo setup, configuration, and troubleshooting with real-world ...
Tempo Articles
47 articles
Grafana Tempo Tail Sampling: Keep Traces by Rules
Tempo's tail sampling is a powerful way to control trace volume without losing critical information. Let's see it in action
Grafana Tempo CLI: Debug Blocks and Trace Data
Tempo's tempo-cli can directly inspect and debug the internal block and trace data it stores, giving you a low-level view of what's actually on disk.
Grafana Tempo Trace ID Lookup: Direct Search by ID
Grafana Tempo Trace ID Lookup: Direct Search by ID — practical guide covering tempo setup, configuration, and troubleshooting with real-world examples.
Grafana Tempo Trace Size Limit: Truncate Large Traces
Grafana Tempo Trace Size Limit: Truncate Large Traces — practical guide covering tempo setup, configuration, and troubleshooting with real-world examples.
Grafana Tempo Storage Backend: S3 and GCS Setup
Grafana Tempo’s storage backend isn't just an object store; it's a distributed log-structured merge-tree, and S3/GCS are just the transport layer for it.
Grafana Tempo Trace to Logs: Exemplars and Correlations
The most surprising thing about Tempo's "exemplars" is that they aren't just any log line associated with a trace; they're specifically the first log li.
Grafana Tempo Upgrade: Migration Guide and Changelog
Grafana Tempo, the distributed tracing backend, can be upgraded with minimal downtime, but the key is understanding how its internal storage, particular.
Grafana Tempo vParquet Block Format: Performance Gains
Tempo's vParquet block format is a game-changer for trace storage, offering significant performance gains by fundamentally rethinking how trace data is .
Grafana Tempo WAL: Write-Ahead Log for Durability
Grafana Tempo's Write-Ahead Log WAL is surprisingly a performance bottleneck for high-throughput write workloads, not just a durability safety net.
Migrate Zipkin to Grafana Tempo: Receiver and Setup
Migrate Zipkin to Grafana Tempo: Receiver and Setup — practical guide covering tempo setup, configuration, and troubleshooting with real-world examples.
Grafana Tempo Attribute Filtering: Drop Spans at Ingest
Tempo can drop spans based on attributes during ingestion, saving storage and improving query performance by only keeping what's relevant.
Grafana Tempo Block Builder: Separate Worker Mode
The Tempo Block Builder's "Separate Worker Mode" is surprisingly not about distributing the work of building blocks, but about isolating the resource co.
Grafana Tempo Compactor: Retention and Block Merging
The Tempo compactor is the unsung hero of your distributed tracing storage, diligently merging small trace blocks into larger ones and purging old data,.
Grafana Tempo Hash Ring: Replication and Consistency
Tempo's hash ring is how it distributes traces across all your Tempo instances, ensuring no single node gets overloaded and that traces can be found eve.
Grafana Tempo Cost Optimization: Storage Tiering
Grafana Tempo's storage tiering is a surprisingly powerful lever for cost optimization, letting you treat your traces like graduated security levels: ho.
Grafana Tempo Cross-Tenant Querying: Multi-Org Traces
Grafana Tempo, by default, locks down your traces to the organization they were ingested into, but you can actually query across them with a bit of conf.
Grafana Tempo Distributed Mode: Scale Components Independently
Tempo in distributed mode lets you scale its components like ingesters, distributors, and queryers independently, which is pretty neat for optimizing re.
Grafana Tempo Flat JSON Log Format: Trace Correlation
Tempo's flat JSON log format is surprisingly effective for trace correlation because it embeds trace IDs directly into the log line, making them searcha.
Grafana Tempo Datasource: Configure Trace Search
Grafana Tempo's datasource configuration for trace search is less about pointing to a specific trace and more about how Tempo itself indexes and retriev.
Grafana Tempo High Cardinality: Manage Span Attributes
High cardinality in Grafana Tempo isn't about the number of traces, but the variety of attribute values within those traces.
Grafana Tempo Ingest: OTLP gRPC and HTTP Receivers
Grafana Tempo's OTLP receivers are the gateway for your traces, and they're surprisingly flexible, accepting data over both gRPC and HTTP.
Grafana Tempo Ingester: Flush Traces to Backend Storage
Grafana Tempo's ingester is designed to buffer incoming traces in memory before asynchronously flushing them to backend object storage, like S3 or GCS.
Grafana Tempo Ingestion Rate Limits: Config and Burst
Tempo's ingestion rate limits are actually a good thing, preventing a single noisy trace from overwhelming your backend and causing cascading failures, .
Grafana Tempo Jaeger Receiver: gRPC and Thrift Ingestion
Jaeger ingestion into Tempo is failing because the Tempo Jaeger receiver isn't properly configured to accept traces via gRPC or Thrift protocols.
Grafana Tempo on Kubernetes: DaemonSet and Sidecar Deploy
Grafana Tempo can be deployed on Kubernetes using either a DaemonSet or a Sidecar pattern, and understanding their differences is key to optimizing your.
Deploy Grafana Tempo on Kubernetes with Operator
Grafana Tempo, when deployed via its Kubernetes Operator, doesn't just store traces; it's a distributed system that prioritizes availability and scalabi.
Grafana Tempo Local Blocks Processor: Aggregate Spans
The most surprising thing about Tempo's Blocks Processor is that its primary job isn't really about aggregation at all; it's about making sure your trac.
Grafana Tempo Memberlist: Gossip Cluster Coordination
The most surprising thing about Tempo's gossip-based memberlist is how it prioritizes availability over absolute consistency, making it resilient to net.
Grafana Tempo Caching: Memcached and Redis Setup
Grafana Tempo's caching layer is surprisingly effective at reducing load on its backend storage, and understanding its configuration is key to unlocking.
Grafana Tempo Metrics Generator: Derive RED Metrics
Grafana Tempo's metrics generator can churn out RED metrics for you, but the real magic is realizing you don't need a separate tracing backend to get th.
Grafana Tempo Multi-Tenancy: Isolate Traces per Team
Tempo's multi-tenancy isn't about separating data storage per tenant; it's about isolating trace retrieval and querying by injecting a tenant ID into th.
Grafana Tempo OpenTelemetry Conventions: Span Attributes
OpenTelemetry span attributes are the primary mechanism for enriching trace data with context, but the convention for naming and structuring these attri.
Grafana Tempo OTLP Collector Exporter: Push Traces
Grafana Tempo's OTLP Collector Exporter doesn't just send traces; it's a sophisticated traffic cop for your distributed tracing data.
Grafana Tempo Per-Tenant Overrides: Limits and Config
Tempo's per-tenant overrides let you customize tracing ingestion and retention settings for individual tenants, but they're not a free-for-all; they're .
Grafana Tempo Parquet: Columnar Storage for Fast Search
Tempo's Parquet backend, while offering blazing-fast trace searches, is fundamentally a database that trades write speed for query efficiency by storing.
Grafana Tempo Query Frontend: Caching and Sharding
Grafana Tempo's query frontend shards incoming requests across multiple ingesters, but it doesn't cache query results itself; that's delegated to the ba.
Fix Grafana Tempo Slow Trace Queries: Tune and Cache
Tempo's trace query performance tanked because the underlying object store, often S3, became a bottleneck, and its internal caching mechanisms were insu.
Grafana Tempo Remote Write: Span Metrics Pipeline
Grafana Tempo's remote write functionality for span metrics is essentially a highly efficient pipeline designed to ingest and process trace data, specif.
Grafana Tempo Resource Limits: CPU and Memory Tuning
Grafana Tempo's performance is surprisingly sensitive to how you configure its resource limits, and often, the default settings are a ticking time bomb .
Grafana Tempo Retention Policy: Configure per Tenant
Grafana Tempo Retention Policy: Configure per Tenant — practical guide covering tempo setup, configuration, and troubleshooting with real-world examples.
Grafana Tempo Sampling: Probabilistic and Rate Limiting
Tempo's sampling isn't about deciding if a trace should be stored, but rather how much of it gets stored when it's too big to fit into a single trace.
Grafana Tempo External Search Index: Apache Parquet
Grafana Tempo's external search index, when using Apache Parquet, fundamentally changes how you query trace data by moving from an in-memory index to a .
Grafana Tempo Tag Value Search: Query by Span Attributes
Tempo's tag value search is surprisingly powerful, but it doesn't work like you'd expect based on other tracing backends or even Grafana's own dashboard.
Grafana Tempo Service Graph Metrics: Latency and Error Rates
The most surprising thing about Tempo's Service Graph is that it doesn't actually collect any metrics itself; it derives them from your traces.
Grafana Tempo Single Binary: All-in-One Local Deployment
Grafana Tempo, when deployed as a single binary, is less an "all-in-one" solution and more a testament to the power of composability, even when those co.
Grafana Tempo Span Metrics: P99 Latency from Traces
Grafana Tempo Span Metrics: P99 Latency from Traces — practical guide covering tempo setup, configuration, and troubleshooting with real-world examples.