Skip to content
main
Switch branches/tags
Code

Latest commit

Summary:
The existing metrics exporter would omit guages with a value of 0
since the psql query wouldn't return those rows after a group by.
Some of our downstream analytics uses the "last" possible value of any given
gauge, so a gauge that goes from 1 -> 0 would still be read as having a value
of 1. This fixes said problem by introducing the zero values.

Old Query:
```
Planning Time: 0.130 ms
Execution Time: 9.053 ms
```

New Query:
```
Planning Time: 0.257 ms
Execution Time: 12.610 ms
```

Test Plan: skaffold deploy

Reviewers: philkuz, zasgar

Reviewed By: zasgar

Signed-off-by: Vihang Mehta <vihang@pixielabs.ai>

Differential Revision: https://phab.corp.pixielabs.ai/D10274

GitOrigin-RevId: 7bfb388fb0168c8c996b47f4b3d35a51229f48f8
81785b2

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
Dec 3, 2021
Nov 13, 2021
Nov 20, 2021

Pixie!


Docs Slack Twitter Mentioned in Awesome Kubernetes Mentioned in Awesome Go Build Status codecov FOSSA Status


Pixie is an open source observability tool for Kubernetes applications. Use Pixie to view the high-level state of your cluster (service maps, cluster resources, application traffic) and also drill-down into more detailed views (pod state, flame graphs, individual full-body application requests).

Why Pixie?

Three features enable Pixie's magical developer experience:

  • Auto-telemetry: Pixie uses eBPF to automatically collect telemetry data such as full-body requests, resource and network metrics, application profiles, and more. See the full list of data sources here.

  • In-Cluster Edge Compute: Pixie collects, stores and queries all telemetry data locally in the cluster. Pixie uses less than 5% of cluster CPU, and in most cases less than 2%.

  • Scriptability: PxL, Pixie’s flexible Pythonic query language, can be used across Pixie’s UI, CLI, and client APIs.

Use Cases

Network Monitoring

Network Flow Graph


Use Pixie to monitor your network, including:

  • The flow of network traffic within your cluster.
  • The flow of DNS requests within your cluster.
  • Individual full-body DNS requests and responses.
  • A Map of TCP drops and TCP retransmits across your cluster.

For more details, check out the tutorial or watch an overview.


Infrastructure Health

Infrastructure Monitoring


Monitor your infrastructure alongside your network and application layer, including:

  • Resource usage by Pod, Node, Namespace.
  • CPU flamegraphs per Pod, Node.

For more details, check out the tutorial or watch an overview.


Service Performance

Service Performance


Pixie automatically traces a variety of protocols. Get immediate visibility into the health of your services, including:

  • The flow of traffic between your services.
  • Latency per service and endpoint.
  • Sample of the slowest requests for an individual service.

For more details, check out the tutorial or watch an overview.


Database Query Profiling

Database Query Profilling


Pixie automatically traces a number of different database protocols. Use Pixie to monitor the performance of your database requests:

  • Latency, error and throughput (LET) rate for all pods.
  • LET rate per normalized query.
  • Latency per individual full body query.
  • Individual full-body requests and responses.

For more details, check out the tutorial or watch an overview.


Request Tracing

Request Tracing


Pixie makes debugging this communication between microservices easy by providing immediate and deep (full-body) visibility into requests flowing through your cluster. See:


For more details, check out the tutorial or watch an overview.


Continuous Application Profiling

Continuous Application Profiling


Use Pixie's continuous profiling feature to identify performance issues within application code.


For more details, check out the tutorial or watch an overview.


Distributed bpftrace Deployment

Use Pixie to deploy a bpftrace program to all of the nodes in your cluster. After deploying the program, Pixie captures the output into a table and makes the data available to be queried and visualized int he Pixie UI. TCP Drops pictured. For more details, check out the tutorial or watch an overview.

Dynamic Go Logging

Debug Go binaries deployed in production environments without needing to recompile and redeploy. For more details, check out the tutorial or watch an overview.


Get Started

Request Tracing

It takes just a few minutes to install Pixie. To get started, check out the Install Guides.


Once installed, you can interact with Pixie using the:


Get Involved

Pixie is a community driven project; we welcome your contribution! For code contributions, please read our contribution guide.


About Pixie

Pixie was contributed by New Relic, Inc. to the Cloud Native Computing Foundation as a Sandbox project in June 2021.

License

Pixie is licensed under Apache License, Version 2.0.