From financial services and healthcare to retail, automotive, and government — one open-source orchestration platform for every workflow.
Harness the value of your data, unlock new insights, and drive informed decision-making using Kestra's automation platform
Say goodbye to delays in your pipeline as Kestra initiates workflows based on specific times or events, such as data arrivals or file uploads.
Efficiently manage and deploy your machine learning models at scale with Kestra's microservice orchestration capabilities.
Seamlessly move data between systems, prepare and clean it, and aggregate it into a consolidated data mart.
React to events happening in your business and automate your critical microservices and operations.
Automatically detect changes in data sources and trigger workflows to process those changes.
Configure Kestra to distribute reports via email or Slack, keeping your team informed.
Easily collect data from various sources and integrate them into your workflows.
Automate tasks such as provisioning, deployment, and monitoring of infrastructure resources.
Kestra empowers you to manage the entire data lifecycle from ingestion to reporting and automation.
Standardize Terraform, Ansible, CI/CD and operational workflows across hybrid and air-gapped environments.
faster infrastructure delivery
lower legacy tooling cost
Run ingestion, transformations, dbt, Airbyte, Spark and quality checks in one workflow engine.
Faster Pipeline Delivery
Fewer Manual backfills
Agents, RAG pipelines, evaluation, publishing, retraining all orchestrated with governance and observability.
less pipeline maintenance
faster AI delivery cycles
List a phpIPAM subnet's addresses and alert Slack naming the real IPs marked in-use with no hostname and no description, a ghost allocation nobody can attribute.
Compare every phpIPAM subnet's VLAN plus VRF assignment against a declared design, correct the drift behind an approval gate, then re-read phpIPAM to prove it landed.
Download a JSON export of embeddings, reshape it into Pinecone's vector format with Python, upsert the file in one call, and report the count to Slack.
Fetch the requested vector ids, delete them, fetch again to prove absence, and post a before-and-after audit message to Slack.
Scheduled DescribeIndexStats check that compares the total vector count against a threshold, alerts Slack, and fails the execution on a breach.
Clear every vector in a stale Pinecone namespace with one deleteAll call, verify with a stats readback, and confirm the purge in Discord.
Create a Pinecone serverless index with a fixed dimension, cloud, and region, verify it with a stats readback, and confirm the bootstrap in Slack.
Query a Pinecone index by an existing vector's id, pull the top five neighbors with metadata, and post the match count to Discord for retrieval QA.
Audits Pingdom global uptime checks to detect multi-probe regional HTTP availability failures.
Check the exact versions you pin on PyPI, npm and crates.io every day and alert when a maintainer yanks or deprecates one, with the reason and the latest release.
Audits Pinniped Supervisor metrics to detect JWT authenticator clock skew and token verification failures.
Audit Apache Pinot real-time table consuming segments for stalled commits, recycle wedged partition workers, and verify ingestion.
Classify an Apache Pinot table HEALTHY, STALE, or EMPTY_TABLE from its own ingestion lag, and alert Slack when a streaming consumer stalls.
Move Apache Pinot query results into BigQuery as a clean, schema-typed CSV load.
Run pip-audit against locked pins, grade findings by severity, block the release above your budget, and alert Slack.
Scans your Python requirements for known vulnerabilities and alerts on Slack.
A webhook maps product activation milestones to Pipedrive stage updates with If branching, so pipeline stages reflect real usage, and notes each move in Slack.
A webhook catches each signup form submission, creates the person and a linked deal in Pipedrive, and confirms the new lead in Slack.
A monthly flow lists Pipedrive persons, counts records missing emails or owners in Python, and posts the hygiene metrics to Discord.
A scheduled flow lists open Pipedrive deals, sums their value and counts them per status in Python, and posts the headline numbers to Slack each morning.
List a phpIPAM subnet's addresses and alert Slack naming the real IPs marked in-use with no hostname and no description, a ghost allocation nobody can attribute.
Compare every phpIPAM subnet's VLAN plus VRF assignment against a declared design, correct the drift behind an approval gate, then re-read phpIPAM to prove it landed.
Download a JSON export of embeddings, reshape it into Pinecone's vector format with Python, upsert the file in one call, and report the count to Slack.
Fetch the requested vector ids, delete them, fetch again to prove absence, and post a before-and-after audit message to Slack.
Scheduled DescribeIndexStats check that compares the total vector count against a threshold, alerts Slack, and fails the execution on a breach.
Clear every vector in a stale Pinecone namespace with one deleteAll call, verify with a stats readback, and confirm the purge in Discord.
Kestra serves regulated and complex industries with self-hosted, open-source orchestration — purpose-built for your compliance, scale, and integration requirements.
Our goal is for Kestra to become the go-to solution across the organization whenever data wrangling and complex pipeline orchestration are needed.
Built for Enterprises and SMBs, with strong governance, enterprise-grade security, seamless scalability, and dedicated enterprise support backed by SLAs.
