Use cases include data warehousing and large transactional databases among them cassandra mongodb cloudera and redis.
Storage optimized vm series is ideal for medium to large caches.
Available with single or.
Storage optimized vm sizes offer high disk throughput and io and are ideal for big data sql nosql databases data warehousing and large transactional databases.
Great for relational database servers medium to large caches and in memory analytics.
High disk throughput and io.
Memory optimized vm types are higher in memory as opposed to cpu and best suited for relational database services analytics and larger caches.
The l series for storage optimizes workloads that require low latency such as nosql databases e g.
Enterprise applications and large.
Optimized for storage purposes ls series vms are ideal for infrastructures seeking low latency and high throughput on large datasets.
This article provides information about the number of vcpus data disks and nics as well as storage throughput and network bandwidth for each size in this grouping.
Cassandra mongodb cloudera and redis.
Esv3 ev3 easv4 eav4 ev4 esv4 edv4 edsv4 mv2 m dsv2 dv2.
This article provides information about the number of vcpus data disks and nics as well as local storage throughput and network bandwidth for each optimized size.
Dieser artikel enthält informationen zur anzahl von vcpus datenträgern und nics sowie zum speicherdurchsatz und zur netzwerkbandbreite der einzelnen größen in dieser gruppe.
The max processor boost is 3 ghz and the option of multithreading is enabled.
Specialized virtual machines targeted for heavy graphic rendering and video editing as well as model training and inferencing nd with deep learning.
Memory optimized vm sizes offer a high memory to cpu ratio that are great for relational database servers medium to large caches and in memory analytics.
Nv nc ncv2 ncv3 nd.
Ideal for big data sql and nosql databases.
The mv2 series offers the highest vcpu count up to 208 vcpus and largest.
Great for relational database servers medium to large caches and in memory analytics.
Examples include cassandra mongodb cloudera and redis.
