# Tools and Integrations Published articles for Tools and Integrations. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Where to automate resilience testing in your SDLC DevFeed: [Where to automate resilience testing in your SDLC]() Original publisher: [Read original article]() Author: Ryan Detwiller Published: 2024-04-09T00:00:00Z Content type: article Language: en Sources: [Gremlin Blog]() Topics: [Resilience](), [Chaos Engineering](), [sdlc](), [CI/CD](), [Automation](), [ci]() Tags: [automation](), [chaos-engineering](), [ci-cd](), [deployment](), [resilience](), [sdlc](), [testing](), [tools-and-integrations](), [verification](), [verify]() ### AI overview The article explains where to automate resilience testing within the SDLC. It distinguishes exploratory Chaos Engineering experiments, which have unknown outcomes and should generally begin as manual tests, from verification tests, which validate known failure scenarios and are suitable for automation. It discusses integrating resilience testing with CI/CD and release automation, while noting that production scheduling, deployment frequency, system goals, and staging-to-production similarity affect the appropriate approach. ### Source excerpt When organizations begin to deploy resilience testing or Chaos Engineering, there's a natural question: can we integrate this with our CI/CD pipeline or release automation tools? The short answer is yes. Integration is possible, but resiliency is different, so automation is a nuanced conversation. ## Lakehouse summer camp at Trino Fest 2023 DevFeed: [Lakehouse summer camp at Trino Fest 2023]() Original publisher: [Read original article]() Author: Brian Olsen Published: 2023-04-05T00:00:00Z Content type: news Language: en Sources: [Trino Blog]() Topics: [data-architecture](), [Query (disambiguation)](), [data-governance](), [SQL](), [Data Space](), [Apache Iceberg]() Tags: [analytics](), [collaboration](), [community](), [conference](), [data-governance](), [data-lake](), [education](), [event](), [latest-features](), [sql](), [tools-and-integrations](), [trends]() ### AI overview Trino Fest 2023 is a virtual two-day event focused on Trino as a data lakehouse query engine and on improving data lakehouse management. The event emphasizes education, community collaboration, and practical insights into Trino, its ecosystem, and data and analytics platforms. ### Source excerpt Get ready to kick off your summer with Commander Bun Bun at Trino Fest 2023! This year's event is going virtual and will take place over two days, the 14th and 15th of June. The focus of the event will be on Trino as a data lakehouse query engine, with discussions on how new features and the ecosystem around Trino can support better data lakehouse management. Trino Fest 2023 is the new annual summer event dedicated to all things Trino. Building on the success of last year's Cinco de Trino, we're excited to bring the community together once again to explore the latest trends and innovations in Trino and data lakehouse management. With a focus on education, community collaboration, and inspiration, Trino Fest 2023 will be a valuable experience for anyone interested in improving their data and analytics platform. We hope to see you there as attendee, speaker, or sponsor! Read below to find out how to sign up. ## Trino charms Python DevFeed: [Trino charms Python]() Original publisher: [Read original article]() Author: Manfred Moser, Brian Zhan, Dain Sundstrom Published: 2022-09-20T00:00:00Z Content type: opinion Language: en Sources: [Trino Blog]() Topics: [Python](), [SQLAlchemy](), [airflow](), [SDKs](), [data-processing]() Tags: [airflow](), [python](), [sqlalchemy](), [tooling](), [tools-and-integrations]() ### AI overview The article reviews the growth of Python support around Trino, highlighting the trino-python-client, SQLAlchemy, dbt-trino, Apache Airflow, Apache Superset, Airbyte, notebooks, and related integrations. It invites users to share additional use cases and problems to help improve the ecosystem. ### Source excerpt Wow, have we ever come a long way with Python support for Trino. It feels like ages ago that we talked about DB-API, trino-python-client, SQLAlchemy, Apache Superset, and more in Trino Community Broadcast episode 12. More recently we talked about dbt in episode 21 and episode 30, but there is so much more for Pythonistas, Pythonians, Python programmers, and simply users of Python-powered tools.