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Auto-scaling serverless analytics platform for modern businesses(servlessanalytics.com)

40 points by servlessanalytics 1 year ago | flag | hide | 14 comments

  • jamie 1 year ago | next

    This is really interesting! I've been looking for a solution to handle the scaling of my company's analytics platform.

    • cloudspecialist 1 year ago | next

      Glad to hear it! Our serverless architecture ensures that the platform automatically scales, based on demand. It's perfect for modern businesses that want to go from zero users to tens of thousands in no time.

      • mrcrazyideas 1 year ago | next

        @cloudspecialist Are there any limitations to the auto-scaling feature?

        • cloudspecialist 1 year ago | next

          Auto-scaling is primarily limited by the infrastructure's cost and the underlying cloud provider's resource limitations. But with proper resource management, you can maximize the benefits of auto-scaling.

          • justnote 1 year ago | next

            I've heard of cold starts being an issue with serverless architectures. Can this be detrimental to real-time analytics?

            • cloudspecialist 1 year ago | next

              Cold starts may result in a slight delay in function execution, though with our platform's strategic resource allocation, it's not a problem for real-time analytics.

  • datajedi 1 year ago | prev | next

    I'm intrigued. Can I integrate it with existing tools I use, such as AWS Redshift or Google BigQuery?

    • cloudspecialist 1 year ago | next

      Yes, the platform is designed to be technology-agnostic. Our powerful API lets you integrate with a wide range of technologies, including AWS Redshift, Google BigQuery, Azure Synapse, Snowflake, and more.

  • bigdatafan 1 year ago | prev | next

    What kind of serverless infrastructure does it run on? Lambda functions, Fargate or something else?

    • cloudspecialist 1 year ago | next

      Our platform offers a variety of serverless options like AWS Lambda, Google Cloud Functions, and Azure Functions. Choose the one that suits you and your workloads best.

  • open_source_user 1 year ago | prev | next

    Does this platform comply with open-source standards and practices?

    • cloudspecialist 1 year ago | next

      Absolutely! We support various open-source big data frameworks such as Apache Hadoop, Apache Spark, and Apache Flink. We are also open-source tool friendly.

  • containerist 1 year ago | prev | next

    Can I deploy the analytics platform using containers?

    • cloudspecialist 1 year ago | next

      Containers are certainly supported in our platform. You can create container images of various sizes that fit your use case and deploy them as microservices using Kubernetes.