Elasticsearch plugins

Design PostgreSQL schemas with optimized data types, indexing, and constraints. Analyze and tune SQL queries for OLTP/OLAP workloads on cloud-native databases.

Orchestrates multi-phase performance optimization: profile applications, establish baselines, optimize backend and database, and validate improvements. Includes specialized agents for React/Next.js frontend and observability stack management.

Analyze errors from stack traces, logs, and distributed traces, classify by severity, and guide root-cause resolution. Includes multi-agent debugging for test failures and production error spikes, plus code review for error handling improvements.

Set up, monitor, and optimize production systems with distributed tracing, SLI/SLO management, incident response, and performance profiling using Prometheus, Grafana, OpenTelemetry, and other observability tools.

Set up production-grade observability with Prometheus metrics, Grafana dashboards, distributed tracing (Jaeger/Tempo), log aggregation, and SLO-based alerting for monitoring system health and reliability.

Diagnose production errors by analyzing stack traces, logs, and distributed traces. Classify severity, perform root cause analysis, and generate fixes. Agents correlate error patterns across systems and audit codebase error handling to improve monitoring setup.

Trace and debug microservices in production by correlating distributed traces, logs, and error spikes, with agents that automate Kubernetes log analysis, Prometheus metrics, and Grafana dashboards for rapid incident response.

Merge vector and keyword search results using fusion methods like RRF, linear weighting, cross-encoder reranking, and cascade filtering to improve retrieval recall in RAG systems and search engines.

Manage data lakes, analytics, and search on AWS: create Iceberg tables on S3, ingest from JDBC databases and cloud warehouses, run Athena queries, audit Glue catalogs, and implement vector/RAG search with OpenSearch and S3 Vectors.

Set up structured API request logging with correlation IDs, performance metrics, PII redaction, and security audit trails, with integration to log aggregation platforms like Elasticsearch, Datadog, or Splunk.

Set up comprehensive monitoring and observability for your applications, including APM instrumentation, custom metrics, alerting, centralized logging, distributed tracing, infrastructure monitoring, and dashboards using tools like New Relic, Datadog, Prometheus, Grafana, Elasticsearch, and AWS.

Manage the full Elastic stack lifecycle from Claude Code: provision and configure Elastic Cloud projects, query and analyze data with ES|QL, manage security (RBAC, audit logs, authentication), create Kibana dashboards and alerts, instrument applications with OpenTelemetry, triage security alerts, and investigate Kubernetes and LLM performance.

Delegate observability infrastructure: set up OpenTelemetry distributed tracing, Prometheus/Grafana monitoring dashboards, Datadog alerting, structured logging pipelines, and SLO incident runbooks

Scaffolds and validates Alfresco/Hyland ECM extensions end-to-end — content models, REST APIs, BPMN workflows, audit configurations, Docker deployments, and migration of deprecated SDK patterns.

Query and analyze application logs stored in Elasticsearch, including search, count, filtering by trace IDs, and field extraction for debugging requests and error analysis.

Acts as a senior DBA across 230+ database systems, handling schema design, query optimization, replication, backup, migration, monitoring, security hardening, capacity planning, and database DevOps for relational, document, key-value, graph, time-series, vector, and streaming databases.

Design and implement full e-commerce systems: product catalogs, cart/checkout flows, payment gateways (Stripe, PayPal, Adyen), PCI DSS compliance, inventory management, order processing, and search merchandising with analytics.

Analyze and optimize SQL queries with EXPLAIN plans, design relational schemas with normalization and indexing, and get strategic database architecture advice across PostgreSQL, MySQL, SQLite, MongoDB, Redis, and Elasticsearch.

Query and investigate production logs in Graylog by searching streams, timestamps, and trace IDs, then triage incidents with error-spike analysis, distributed-trace root-cause investigation, and surrounding-context log retrieval.

Conduct multi-source technical research, extract first-principles knowledge, generate structured notes and blog posts, and reinforce learning with daily spaced-repetition quizzes and hands-on Docker lab environments.

Automate go-to-market workflows including account research, persona development, competitive intelligence, outreach sequences, content creation, and deal reviews by connecting CRM, analytics, and communication tools to Claude.