Support for Cadence

24×7 expert and dedicated support for open source Cadence and related data infrastructure.
Dedicated Cadence expert support
  • Dedicated Cadence experts

    Operational support is our number-one focus and why customers come back to us again and again. With our Cadence support plan, you get a dedicated team of experts on call to support your open source workflow in the cloud or on-prem.

  • 24x7 support

    Accelerate your time to market and your overall uptime and scalability in a measured, secure, and fully optimized fashion with our Cadence managed service and enterprise support. Both are backed by 24×7 monitoring and expert support.

  • Best-in-class SLAs

    Our Service Level Agreements (SLAs) give you the assurance you need. You can rest easy knowing that help is on the way whenever you have a challenge with Cadence.

Why Instaclustr?
  • Unmatched experience

    Our support team has extensive knowledge of Cadence’s technical details and operational nuances.

    Our managed service pedigree and broad customer base ensures that we have the experience to fit any customer environment.

  • It’s what we do every day

    On a daily basis, we deliver mission critical, high performance, and always-on data solutions for our customers.

    Our company is focused on the operational performance of Cadence and complementary open source data layer technologies.

  • Dedicated team

    The Cadence support team is made up of dedicated engineers and experts with extensive operational experience.

    We have the ability to help keep your clusters operating efficiently and effectively under various conditions and use cases.

Looking for emergency Cadence support?

Are you having operational issues with your self-managed Cadence production environment?

Contact us and a member of our team will reach out to you within minutes. We’ll quickly help you get a contract in place so we can get to work resolving your Cadence issues and get your environment operational as fast as possible.

    Spin up a cluster in minutes