From Cassandra To Bigtable Migration At Palo Alto Networks
Advanced WildFire from Palo Alto Networks is the biggest cloud-based malware protection engine in the business, evaluating more than 1 billion samples per month to shield enterprises from complex and cunning attacks
Google Cloud wants to tackle the most challenging use cases in the business and reach more developers with Bigtable
Performance bottlenecks: Usually caused by compaction procedures, high latency, frequent timeouts, and excessive CPU utilization affected user experience and performance
Operational difficulty: Managing a sizable Cassandra cluster required a high level of overhead and specialized knowledge, which raised management expenses and complexity
Challenges with replication: Low-latency replication across geographically separated regions was challenging to achieve, necessitating a sophisticated mesh architecture to reduce lag
Scaling challenges: Node updates required a lot of work and downtime, and scaling Cassandra horizontally proved challenging and time-consuming
Scalability: It can easily handle Palo Alto Networks’ constantly increasing data needs because to its horizontally scalable architecture, which offers nearly unlimited scalability