An Ace in the Hole for Your Kubernetes Clusters
Register for our upcoming event on May 9th @12N ESTMon, 24 Apr 2023 14:12:49 -0000
|Read Time: 0 minutes
Robin Systems SymWorld Cloud, previously known as Cloud Native Platform (CNP), is a killer upstream K8S distribution that you should consider for many of your workloads. I’ve been working with this platform for several years and continue to be impressed with what it can do. Some of the things that I see value in for Symworld Cloud include but are not limited to the following:
- QoS for resources such as CPU, memory and network.
- Templates for workloads that are extensible
- Pre and Post scripting capability that is customizable for each workload
- Automation of all tasks
- Elastic scaling both up and down
- Multi-tenant capabilities
- Easy provisioning
- Simple deployment
- An application store that can house multiple versions of a workload with varied functionality
- Higher resource utilization
- Three types of nodes possible: compute, storage and converged
- Resources may be shared or dedicated as needed
When it comes to workloads there’s an extensive existing catalog. If you need something added it can be added. Workloads that could be deployed include:
- Any NoSQL db including MongoDB, Cassandra, Redis, TigerGraph, Neo4j, Aerospike, Couchbase, RocksDB, etc….
- Select RDBMSs such as PostgreSQL, MySQL, Oracle, SQL Server, Greenplum, Vertica
- Streaming & messaging as with Kafka, Flink, Pulsar, …
- Elastic Search
- Hadoop
- Query engines like Presto, Starburst, Trino
- Spark
With respect to use cases some options might be:
- To glue together your Data Lakehouse. We have a solution that combines spark, deltalake, k8s w/ Robin, PE servers and scalable NAS or object storage. You may find out more about it here & here. The inclusion of Robin allows one to add other workloads which could be kafka and Cassandra w/o having to create separate environments!
- How about Big Data as a Service (BDaaS)? So you have say six different workloads including MySQL, kafka, spark, TigerGraph, Starburst & airflow. Putting all these in the same platform, containerized and scalable on the same set of perhaps eight PE nodes would allow one to save some serious coin.
- Your own slice of heaven including the two to a dozenish apps that matter to you.
- Machine learning and deep learning with some GPU enabled servers.
- Robin Systems has some additional use cases & key info here.
Interested in learning more? We have an upcoming event on May 19th @12N EST that is just what the doctor ordered. I’ll be a panelist for this webinar.
Topic: Solving the Challenges of deployment and management of Complex Data Analytics Pipeline
Register in advance for this webinar:
https://symphony.rakuten.com/dell-webinar-data-analytics-pipeline
After registering, you will receive a confirmation email containing information about joining the webinar
If you just can’t wait till then feel free to reach out to me @ Mike.King2@dell.com to discuss your challenge further.