DevOps

Investigate one error tracking issue end to end: who it hits, triggers and start time

Check logs to verify a service is healthy or explain an error spike during an incident

Find the probable cause of an infrastructure metric spike, drop or alert with evidence

Link error occurrences to OpenTelemetry traces, same-trace logs and session replays

Diagnose dropped events, rejected merges and oversized payloads from ingestion warnings

Query raw signal embeddings with HogQL for semantic search and report sources

Monitor LLM traces for cost, latency, error and eval regressions

Watch top dashboards and insights for drops, spikes and trend breaks against baselines

Watch service error rates, latency and N+1 calls in distributed traces

Watch exception bursts, stuck loops and status regressions in error tracking

Watch feature flag evaluations for cliffs, ghost flags and response shifts

Look for cross-product correlations and gaps no specialist monitoring scout covers

Bundle active PostHog health issues by kind and surface the ones worth acting on

Review insight alert firings and surface the ones a person likely missed

Watch log streams for new message patterns, volume bursts and silent services

Find high-volume events with no insight, dashboard or alert and suggest coverage

Check whether merged pull requests deployed and did what they claimed in telemetry

Watch task run health, failing repositories and retry storms across agent tasks

Create ingestion rules that drop noisy low-value errors like extension and bot noise

Build a prioritized list of new and high-impact error issues for a daily review

Validate a canvas project, then publish it safely with a version check and staged build

Assign monitoring work, find which scout covers a surface and act on its reports

Learn a repo's release rules, cache them and guide each release step by step

Set Novu environment variables in a project without exposing the secret key

Diagnose live Java applications and JVM problems with the Arthas tool from Alibaba

Find the threads and code paths behind high CPU use in a running JVM

Use Arthas watch and trace to capture EagleEye trace IDs for requests

Install Terraform and confirm init and validate commands work on your machine

Build Terraform modules, write tests and set up CI with security scanning

Harden Dockerfiles and container runtime settings to CIS Docker Benchmark v1.8.0

Harden the Docker daemon with daemon.json, TLS auth, user namespaces and seccomp

Build container images on distroless bases with no shell or package manager

Forward and enrich logs with Fluent Bit and Fluentd into Elasticsearch, S3 and Splunk

Write Rego policies and test them in OPA for Kubernetes and CI/CD pipeline checks

Centralize syslog over TLS with rsyslog templates, per-host logs and queues

Shrink container images with multi-stage builds, non-root users and CIS Docker rules

Run Docker Bench for Security against hosts and daemons, then fix CIS failures

Automate TLS certificate issuance, renewal and revocation with ACME and Python

Write a change record with impact analysis and rollback steps for review

Write step-by-step operational runbooks with troubleshooting and rollback steps

Deploy apps and websites to Vercel, including preview deployments

Set up Android CI/CD to Google Play with staged release tracks

Work across AWS, Azure, GCP, Kubernetes and Terraform for CI/CD and monitoring

Plan safe production deployments with rollback strategies and verification steps

Write Terraform and Kubernetes infrastructure with CI/CD pipelines and observability

Optimize Dockerfiles, image size and container security with Docker Compose

Set up development environments with the right tools, dependencies and config

Create GitHub Actions workflows for CI, testing, deployment and release automation

Build GitHub Actions workflows for testing, building and deploying applications