expanso.io
Official@expanso-io
Expanso provides distributed data stream processing, schema validation, and secure PII redaction for high-throughput enterprise event architectures.
Agent Skills by expanso.io
Showing 31 vetted skills indexed across 2 GitHub repositories.
Secure Slack Pipeline
Authenticates, validates, redacts PII, and retrieves Slack channel messages via conversations.history API.
expanso
Deploy and execute Expanso marketplace data pipelines locally with cloud orchestration.
expanso-deduplicate-events
Deduplicate HTTP events via content hashing and cache, outputting unique events to Kafka.
expanso-transform-formats
Transform data between JSON, XML, and CSV formats using Expanso.
expanso-enforce-schema
Validate incoming JSON data against a JSON schema and route invalid records to a dead-letter queue.
expanso-fan-out-kafka
Distribute incoming data streams to multiple Kafka topics concurrently.
expanso-fan-out-s3
Distribute data streams to multiple S3 buckets using partitioning logic.
expanso-encrypt-data
Encrypt sensitive data fields using AES-256-GCM encryption.
expanso-dead-letter-queue
Route failed Kafka messages to a dead-letter topic after retries with exponential backoff.
expanso-enrich-export
Enrich log data with lineage and quality metadata before exporting to Amazon S3.
expanso-cross-border-gdpr
Anonymizes EU financial transaction data using delete, hash, and generalize methods.
expanso-csv-to-json
Convert CSV files to JSON with schema inference and type coercion.
expanso-remove-pii
Remove personally identifiable information from streaming data using Expanso mapping transformations.
expanso-filter-severity
Filter log messages by severity and route them to different outputs.
expanso-normalize-timestamps
Normalize diverse timestamp formats and timezones to UTC with Expanso.
expanso-parse-logs
Parse and classify log entries from JSON, syslog, access logs, and CSV.
expanso-production-log-pipeline
Process production logs through parsing, validation, enrichment, PII redaction, and routing.
expanso-fan-out-pattern
Routes a single data stream to multiple destinations including Kafka, AWS S3, Elasticsearch, and local files with fallback to file storage.
expanso-circuit-breakers
Implement circuit breaker fallbacks for resilient downstream service interactions.
expanso-content-splitting
Split batch payloads into individual messages with Kafka and file-based DLQ routing.
expanso-nightly-backup
Automate nightly database table backups to Google Cloud Storage as compressed Parquet files.
expanso-aggregate-time-windows
Performs time-window aggregations on metrics and analytics data using Expanso.
expanso-priority-queues
Route incoming events to Kafka topics based on calculated priority scores.
expanso-kafka-to-s3
Stream data from Kafka topics to S3 buckets with partitioning and batching.
Frequently Asked Questions About expanso.io
FAQPage SchemaWhat specific data processing tasks can be performed?▼
Expanso enables complex stream processing including schema validation, PII redaction, AES-256-GCM encryption, and time-window aggregations. It supports multi-destination routing to Kafka, S3, Elasticsearch, and PostgreSQL, alongside format transformations between JSON, XML, and CSV.
Which engineering personas benefit from these capabilities?▼
Data engineers, site reliability engineers, and security architects utilize these capabilities to build resilient, compliant, and scalable event-driven architectures. These features are designed for teams managing high-volume log pipelines, financial transaction migrations, and cross-border data privacy requirements.
What are the primary infrastructure dependencies?▼
Expanso integrates with standard enterprise infrastructure including Apache Kafka, Amazon S3, Google Cloud Storage, PostgreSQL, and BigQuery. It requires connectivity to these endpoints for message ingestion, persistent storage, and database synchronization tasks.