We are, we have an agent that reads your pyroscope profiles and shares PRs as slideshow in Grafana. Just internal right now but we have plans to make it available for everyone in Grafana Cloud

codex for open source! just granted about another huge batch including some that you might recognize! tensorflow/tensorflow n8n-io/n8n twbs/bootstrap github/gitignore ytdl-org/youtube-dl vercel/next.js 30-seconds/30-seconds-of-code kubernetes/kubernetes papers-we-love/papers-we-love angular/angular neovim/neovim microsoft/web-dev-for-beginners florinpop17/app-ideas bitcoin/bitcoin gin-gonic/gin microsoft/playwright laravel/laravel gothinkster/realworld spring-projects/spring-boot tensorflow/models apple/swift unclecode/crawl4ai tldr-pages/tldr snowpackjs/astro embedchain/embedchain vim/vim pingcap/tidb jonnyburger/remotion aspnet/aspnetcore seleniumhq/selenium jqlang/jq immutable-js/immutable-js anncwb/vue-vben-admin pynecone-io/pynecone martinvonz/jj serverless-stack/serverless-stack manojvivek/responsively-app trekhleb/homemade-machine-learning sipeed/picoclaw spicetify/spicetify-cli vueuse/vueuse guidance-ai/guidance nautechsystems/nautilus_trader hshoff/vx preservim/nerdtree officedev/office-ui-fabric-react carlospolop/peass-ng reduxjs/reselect adonisjs/adonis-framework rizinorg/cutter facebookresearch/llama-recipes stackexchange/dapper resendlabs/react-email tomav/docker-mailserver lichess-org/lila google/libphonenumber apache/incubator-brpc googlechrome/chrome-app-samples hwchase17/langchainjs fanux/sealos argoproj/argo argoproj/argo-workflows rjsf-team/react-jsonschema-form secureauthcorp/impacket scylladb/scylla uuidjs/uuid cayleygraph/cayley cesiumgs/cesium eclipse-vertx/vert.x pyodide/pyodide jetstack/cert-manager rileytestut/altstore sunnyyoung/wechattweak-macos pydanny/cookiecutter-django pandas-profiling/pandas-profiling espanso/espanso ansible-semaphore/semaphore k9mail/k-9 nock/nock dotnet/aspnetcore.docs selectize/selectize.js mozilla-mobile/firefox-ios wanghongenpin/network_proxy_flutter webpack-contrib/webpack-bundle-analyzer alicevision/meshroom actions/virtual-environments jxnl/instructor theramu/fay svprogresshud/svprogresshud lexikos/autohotkey_l lipis/flag-icon-css redpanda-data/redpanda vega/vega mrjbq7/ta-lib uber/ludwig keplergl/kepler.gl devicons/devicon crossplane/crossplane openaccess-ai-collective/axolotl go-shiori/shiori audiokit/audiokit pyroscope-io/pyroscope px4/px4-autopilot quickwit-oss/quickwit vuecomponent/ant-design-vue-pro divanteltd/vue-storefront k2-fsa/sherpa-onnx jantimon/html-webpack-plugin mockery/mockery automattic/node-canvas divio/django-cms containers/skopeo kubernetes/kompose lucia-auth/lucia microsoft/fluentui-system-icons triton-inference-server/server pressly/goose altair-viz/altair pwndbg/pwndbg maplibre/maplibre-gl-js webtorrent/webtorrent-desktop hackmdio/codimd

🔥Hiring 🔥 🚀 Company: Grafana Labs 🪛 Position: Staff Backend Engineer - Databases Pyroscope 🌎 Location: Remote - US, Canada 💸Salary: $174,986 - $209,983 USD Apply: bigremotejob.com/remote-jobs…

👉 Grafana Labs is looking for a Staff Backend Engineer - Databases Pyroscope | US | Remote! (💰💰💰 USD 174,986.00 - 209,983.00 per year). This is a #remote opportunity! #remotework #wfh #remotejobs 👇 👇 👇 remotebackendjobs.com/cmq7s3…

Grafanaスタック（Grafana、Mimir、Prometheus、Loki、Tempo、k6、Pyroscopeなど）に関してOSS含めてなんでも歓迎なチャンネルなので slack.grafana.com でアカウント作成して、 #japan チャンネルにどしどし書いてください！ #grafanaJP

Your coding agent doesn’t need to guess the Grafana stack. Grafana Skills is a public Agent Skills repository for working with Grafana, Prometheus, Loki, Tempo, Pyroscope, k6, and the broader LGTM observability stack. It helps you give AI coding tools task-specific observability context by packaging Grafana knowledge into installable skills for Claude Code, Cursor, Codex, and other tools that support the Agent Skills standard. Key features: • Agent Skills compatible – works with tools that support the Agent Skills open standard • Broad Grafana coverage – includes dashboards, PromQL, alerting, telemetry collection, Grafana Cloud, LGTM, plugins, App SDK, and k6 • Multiple install paths – supports npx skills, Claude Code plugin installs, Cursor project skills, and Codex discovery • Plugin-group structure – skills live under grouped folders like grafana-core, grafana-cloud, grafana-lgtm, grafana-plugins, grafana-app-sdk, and grafana-k6 • Contribution workflow – includes a skill template, lint script, and CI validation for adding new skills It’s open-source (Apache License 2.0 license). Link in the reply 👇

In case you missed it: Pyroscope 2.0 is a ground-up rearchitecture of the open source continuous profiling database — cheaper at scale, simpler to operate, with native OTLP profiling support. grafana.com/blog/pyroscope-2…

Traces with Tempo & Profiling with Pyroscope (via Terraform) blog.devgenius.io/traces-wit…

🔥 Say hello to Pyroscope 2.0! This is a ground-up rearchitecture of our open source continuous profiling database — designed to be more cost-effective at scale, simpler to operate, and with native #OTLP profiling support built in. grafana.com/blog/pyroscope-2…

サーバーが重くなる原因を特定する救世主 Pyroscope 2.0がリリースされました🔥 主な改善点✅ ・ストレージコストを最大95%削減 ・クエリ処理が10倍高速化 ・ロールアウト時間が8〜12時間→数分に ・OTLPプロファイリングをネイティブサポート コストが高くて導入を諦めていたチームにも 現実的な選択肢になりました。 note.com/preview/n2700af94c6…

Loki, Alloy, Tempo, Beyla, Faro, Pyroscope, Prometheus, Grafana, alert manager e mimir (se precisar) Da uma olhada nessas coisas, tudo que tu precisa pra uma observabilidade SOTA e tudo self-hosted

Grafana Cloud and Otel collector, Pyroscope for profiles instead of go tool pprof. This setup removes need for maintaining my own Prometheus, Loki backend and crazy config files especially Alloy. Though, free plan has 14 days retention

Learn how to debug slow applications in #Kubernetes using #eBPF, #Pyroscope, and #OpenTelemetry. Diagnosing performance issues in #distributedsystems is difficult — especially when traditional metrics don’t reveal the root cause. youtu.be/Gez1eu4-nj8?si=oxMb…

Day 5: Observability Stack Design. In interviews, observability questions are sneaky. They start with "how do you debug a production issue?" — then escalate fast. The 3 pillars: ➔ Logs → what happened (structured JSON > plain text) ➔ Metrics → how often/how fast (counters, gauges, histograms) ➔ Traces → why it happened (distributed request path) The 4th pillar interviewers love: Continuous profiling → Parca, Pyroscope → CPU/memory flamegraphs in prod → Answers "why is this service suddenly slow?" Stack to mention: OpenTelemetry (collection) → Grafana (dashboards) → Loki (logs) → Tempo (traces) → Prometheus (metrics) Signal move: mention cardinality issues with metrics. High cardinality = cost explosion. Few candidates know this.

Before AI, after writing my go service, I still had to set up dockerfile, docker-compose.yml, actions.yml, prometheus.yml, loki-config.yml, pyroscope, grafana, justfile, and staging/prod servers. Add ansible and terraform for AWS deployment too. Grateful for codex.

I lost 150 runs of data because a pyroscope container came up without a config mounted 🫠 and this maniac pulled it into grafana in <2 minutes like it was nothing 😨

Performance engineers / backend wizards - how many of these profiling dark arts can you wield to shave real milliseconds? 1. Flame graphs interpretation hotspot fixing 2. Allocation profiling (escape analysis wins) 3. CPU vs wall-clock time mysteries 4. GC pause root cause hunting 5. Off-heap memory leaks detection 6. Contention profiling (locks mutexes) 7. Network syscall tracing (strace / bpftrace) 8. Query plan analysis in prod DBs 9. eBPF custom probes for app-specific events 10. Continuous profiling (Parca / Pyroscope) setup