January 9, 2025
🚀 What’s New in This 2025 Update
Major Changes Since 2017
- Cassandra 5.0 - ACID transactions, cost-based query optimizer, vector search for AI workloads
- Cloud-Native Deployment - 85% of users now deploy on cloud with Kubernetes operators
- Modern AWS Instances - Graviton (r6g), Im4gn series for better price/performance
- Container Orchestration - Kubernetes operators (Cass Operator, K8ssandra) for automated management
- Advanced Security - Encryption, RBAC, IAM integration, TLS automation
- Modern Observability - Prometheus/Grafana integration with automated alerting
Key Improvements
- ✅ Better Performance - 50% improvement with modern instance types and storage
- ✅ Enhanced Security - Zero-trust architecture with comprehensive encryption
- ✅ Automated Operations - Kubernetes operators handle scaling, upgrades, and repairs
- ✅ AI-Ready - Vector search and machine learning workload support
Modern Cassandra Architecture Overview
Apache Cassandra 5.0 represents a significant evolution in distributed database technology, now supporting ACID transactions, advanced query optimization, and AI workloads. Modern deployments emphasize cloud-native patterns, containerization, and automated operations.
graph TB
subgraph "Modern Cassandra Stack 2025"
subgraph "Client Layer"
APP[Applications]
AI[AI/ML Workloads]
ANALYTICS[Analytics]
end
subgraph "Load Balancer & Gateway"
LB[Load Balancer]
GW[API Gateway]
end
subgraph "Cassandra Cluster"
C1[Cassandra Node 1<br/>r6g.2xlarge]
C2[Cassandra Node 2<br/>r6g.2xlarge]
C3[Cassandra Node 3<br/>r6g.2xlarge]
C4[Cassandra Node 4<br/>r6g.2xlarge]
end
subgraph "Storage Layer"
NVMe1[NVMe SSD<br/>Local Storage]
NVMe2[NVMe SSD<br/>Local Storage]
EBS1[EBS gp3<br/>Backup Storage]
EBS2[EBS gp3<br/>Backup Storage]
end
subgraph "Monitoring & Observability"
PROM[Prometheus]
GRAF[Grafana]
ALERTS[AlertManager]
end
subgraph "Security & Compliance"
IAM[AWS IAM]
KMS[AWS KMS]
AUDIT[Audit Logging]
end
end
APP --> LB
AI --> LB
ANALYTICS --> LB
LB --> GW
GW --> C1
GW --> C2
GW --> C3
GW --> C4
C1 --> NVMe1
C2 --> NVMe2
C3 --> EBS1
C4 --> EBS2
C1 --> PROM
C2 --> PROM
C3 --> PROM
C4 --> PROM
PROM --> GRAF
PROM --> ALERTS
C1 --> IAM
C2 --> IAM
C3 --> KMS
C4 --> AUDIT
Cassandra 5.0 Key Features
ACID Transactions
Cassandra 5.0 introduces full ACID transaction support for multi-partition operations:
-- Example of ACID transaction in Cassandra 5.0
BEGIN TRANSACTION
INSERT INTO users (id, name, email) VALUES (1, 'John Doe', 'john@example.com');
INSERT INTO user_profiles (user_id, bio, created_at) VALUES (1, 'Software Engineer', toTimeStamp(now()));
UPDATE user_stats SET total_users = total_users + 1 WHERE stat_type = 'global';
COMMIT;
Vector Search for AI Workloads
Native vector search capabilities for machine learning and AI applications:
-- Create table with vector column
CREATE TABLE product_embeddings (
product_id UUID PRIMARY KEY,
name TEXT,
description TEXT,
embedding VECTOR<FLOAT, 512>
);
-- Insert vector data
INSERT INTO product_embeddings (product_id, name, description, embedding)
VALUES (uuid(), 'Laptop', 'High-performance laptop', [0.1, 0.2, 0.3, ...]);
-- Vector similarity search
SELECT product_id, name, similarity_cosine(embedding, [0.15, 0.25, 0.35, ...]) as similarity
FROM product_embeddings
ORDER BY embedding ANN OF [0.15, 0.25, 0.35, ...]
LIMIT 10;
Cost-Based Query Optimizer
Improved query performance with intelligent execution planning:
-- Query optimization examples
SELECT * FROM orders
WHERE customer_id = 123
AND order_date > '2025-01-01'
AND status = 'completed'
ALLOW FILTERING;
-- The optimizer now chooses the best execution path
-- based on table statistics and data distribution
Modern AWS Instance Types for Cassandra
Graviton-Based Instances (Recommended)
AWS Graviton processors offer 20% better price-performance:
# Terraform configuration for Graviton instances
resource "aws_instance" "cassandra_nodes" {
count = 4
ami = "ami-0c02fb55956c7d316" # Amazon Linux 2 ARM64
instance_type = "r6g.2xlarge"
key_name = var.key_name
vpc_security_group_ids = [aws_security_group.cassandra.id]
subnet_id = aws_subnet.private[count.index % 2].id
# Instance store for high-performance workloads
ephemeral_block_device {
device_name = "/dev/sdb"
virtual_name = "ephemeral0"
}
# EBS volume for data persistence
ebs_block_device {
device_name = "/dev/xvdf"
volume_type = "gp3"
volume_size = 500
iops = 3000
throughput = 125
encrypted = true
}
tags = {
Name = "cassandra-node-${count.index + 1}"
Role = "cassandra"
Environment = "production"
}
user_data = base64encode(templatefile("${path.module}/cassandra-userdata.sh", {
node_id = count.index + 1
cluster_name = var.cluster_name
}))
}
Storage Configuration
Modern storage patterns for optimal performance:
# Storage class for high-performance NVMe
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: fast-nvme
provisioner: kubernetes.io/aws-ebs
parameters:
type: io2
iopsPerGB: "50"
fsType: xfs
encrypted: "true"
volumeBindingMode: WaitForFirstConsumer
allowVolumeExpansion: true
---
# Storage class for general purpose
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
name: cassandra-storage
provisioner: ebs.csi.aws.com
parameters:
type: gp3
iops: "3000"
throughput: "125"
fsType: xfs
encrypted: "true"
volumeBindingMode: WaitForFirstConsumer
allowVolumeExpansion: true
Kubernetes Deployment with Operators
K8ssandra Operator
The modern approach to Cassandra on Kubernetes:
# Install K8ssandra operator
apiVersion: v1
kind: Namespace
metadata:
name: k8ssandra-operator
---
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
name: k8ssandra-operator
namespace: k8ssandra-operator
spec:
channel: stable
name: k8ssandra-operator
source: community-operators
sourceNamespace: olm
---
# Cassandra cluster definition
apiVersion: k8ssandra.io/v1alpha1
kind: K8ssandraCluster
metadata:
name: production-cluster
namespace: cassandra
spec:
cassandra:
serverVersion: "5.0.0"
storageConfig:
cassandraDataVolumeClaimSpec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 500Gi
storageClassName: fast-nvme
config:
jvmOptions:
heapSize: 8G
additionalOptions:
- -XX:+UseG1GC
- -XX:G1HeapRegionSize=16m
- -XX:+UnlockExperimentalVMOptions
- -XX:+UseCGroupMemoryLimitForHeap
cassandraYaml:
num_tokens: 16
authenticator: PasswordAuthenticator
authorizer: CassandraAuthorizer
role_manager: CassandraRoleManager
endpoint_snitch: GossipingPropertyFileSnitch
compaction_throughput_mb_per_sec: 64
concurrent_reads: 32
concurrent_writes: 32
concurrent_counter_writes: 32
networking:
hostNetwork: false
datacenters:
- metadata:
name: dc1
size: 4
resources:
requests:
cpu: 2000m
memory: 16Gi
limits:
cpu: 4000m
memory: 16Gi
racks:
- name: rack1
nodeAffinityLabels:
topology.kubernetes.io/zone: us-east-1a
- name: rack2
nodeAffinityLabels:
topology.kubernetes.io/zone: us-east-1b
stargate:
size: 2
heapSize: 2G
resources:
requests:
cpu: 1000m
memory: 2Gi
limits:
cpu: 2000m
memory: 4Gi
reaper:
autoScheduling:
enabled: true
resources:
requests:
cpu: 500m
memory: 1Gi
limits:
cpu: 1000m
memory: 2Gi
medusa:
storageProperties:
storageProvider: s3
bucketName: cassandra-backups
storageSecretRef:
name: cassandra-backup-secret
Cassandra Configuration for Modern Workloads
# cassandra.yaml optimizations for 2025
apiVersion: v1
kind: ConfigMap
metadata:
name: cassandra-config
namespace: cassandra
data:
cassandra.yaml: |
# Cluster configuration
cluster_name: 'Production Cluster'
num_tokens: 16
allocate_tokens_for_local_replication_factor: 3
# Security
authenticator: PasswordAuthenticator
authorizer: CassandraAuthorizer
role_manager: CassandraRoleManager
# Network
endpoint_snitch: GossipingPropertyFileSnitch
rpc_address: 0.0.0.0
broadcast_rpc_address: ${POD_IP}
listen_address: ${POD_IP}
broadcast_address: ${POD_IP}
# Performance optimizations
concurrent_reads: 32
concurrent_writes: 32
concurrent_counter_writes: 32
concurrent_materialized_view_writes: 32
# Memory settings
memtable_allocation_type: heap_buffers
memtable_heap_space_in_mb: 2048
memtable_offheap_space_in_mb: 2048
# Compaction
compaction_throughput_mb_per_sec: 64
compaction_large_partition_warning_threshold_mb: 1000
# Timeouts
read_request_timeout_in_ms: 10000
range_request_timeout_in_ms: 20000
write_request_timeout_in_ms: 10000
counter_write_request_timeout_in_ms: 10000
# Garbage collection
gc_grace_seconds: 864000
# Encryption
server_encryption_options:
internode_encryption: all
keystore: /etc/cassandra/keystore.jks
keystore_password: cassandra
truststore: /etc/cassandra/truststore.jks
truststore_password: cassandra
protocol: TLS
algorithm: SunX509
store_type: JKS
cipher_suites: [TLS_RSA_WITH_AES_128_CBC_SHA,TLS_RSA_WITH_AES_256_CBC_SHA]
client_encryption_options:
enabled: true
optional: false
keystore: /etc/cassandra/keystore.jks
keystore_password: cassandra
require_client_auth: false
truststore: /etc/cassandra/truststore.jks
truststore_password: cassandra
protocol: TLS
algorithm: SunX509
store_type: JKS
cipher_suites: [TLS_RSA_WITH_AES_128_CBC_SHA,TLS_RSA_WITH_AES_256_CBC_SHA]
Security Best Practices
TLS Configuration
# TLS certificate management with cert-manager
apiVersion: cert-manager.io/v1
kind: Certificate
metadata:
name: cassandra-tls
namespace: cassandra
spec:
secretName: cassandra-tls
issuerRef:
name: letsencrypt-prod
kind: ClusterIssuer
dnsNames:
- cassandra.example.com
- "*.cassandra.example.com"
---
# Network policy for secure communication
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: cassandra-network-policy
namespace: cassandra
spec:
podSelector:
matchLabels:
app: cassandra
policyTypes:
- Ingress
- Egress
ingress:
- from:
- namespaceSelector:
matchLabels:
name: application
- podSelector:
matchLabels:
app: web-server
ports:
- protocol: TCP
port: 9042
- from:
- podSelector:
matchLabels:
app: cassandra
ports:
- protocol: TCP
port: 7000
- protocol: TCP
port: 7001
egress:
- to:
- podSelector:
matchLabels:
app: cassandra
ports:
- protocol: TCP
port: 7000
- protocol: TCP
port: 7001
IAM Integration
# Service account with IAM role
apiVersion: v1
kind: ServiceAccount
metadata:
name: cassandra-service-account
namespace: cassandra
annotations:
eks.amazonaws.com/role-arn: arn:aws:iam::123456789012:role/CassandraServiceRole
---
# IAM role for Cassandra pods
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:PutObject",
"s3:DeleteObject"
],
"Resource": [
"arn:aws:s3:::cassandra-backups/*"
]
},
{
"Effect": "Allow",
"Action": [
"kms:Decrypt",
"kms:DescribeKey"
],
"Resource": [
"arn:aws:kms:us-east-1:123456789012:key/12345678-1234-1234-1234-123456789012"
]
}
]
}
Monitoring and Observability
Prometheus Configuration
# Prometheus configuration for Cassandra metrics
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: cassandra-metrics
namespace: cassandra
spec:
selector:
matchLabels:
app: cassandra
endpoints:
- port: metrics
interval: 30s
path: /metrics
scrapeTimeout: 10s
---
# Cassandra exporter deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: cassandra-exporter
namespace: cassandra
spec:
replicas: 1
selector:
matchLabels:
app: cassandra-exporter
template:
metadata:
labels:
app: cassandra-exporter
spec:
containers:
- name: cassandra-exporter
image: criteord/cassandra_exporter:latest
ports:
- containerPort: 8080
name: metrics
env:
- name: CASSANDRA_HOST
value: "cassandra-service"
- name: CASSANDRA_PORT
value: "9042"
- name: CASSANDRA_USER
valueFrom:
secretKeyRef:
name: cassandra-credentials
key: username
- name: CASSANDRA_PASSWORD
valueFrom:
secretKeyRef:
name: cassandra-credentials
key: password
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 200m
memory: 256Mi
Grafana Dashboard
{
"dashboard": {
"title": "Cassandra 5.0 Monitoring Dashboard",
"panels": [
{
"title": "Cluster Health",
"type": "stat",
"targets": [
{
"expr": "up{job=\"cassandra\"}"
}
]
},
{
"title": "Read Latency",
"type": "graph",
"targets": [
{
"expr": "rate(cassandra_read_latency_seconds_sum[5m]) / rate(cassandra_read_latency_seconds_count[5m])"
}
]
},
{
"title": "Write Latency",
"type": "graph",
"targets": [
{
"expr": "rate(cassandra_write_latency_seconds_sum[5m]) / rate(cassandra_write_latency_seconds_count[5m])"
}
]
},
{
"title": "JVM Heap Usage",
"type": "graph",
"targets": [
{
"expr": "cassandra_jvm_heap_used_bytes / cassandra_jvm_heap_max_bytes * 100"
}
]
},
{
"title": "Disk Usage",
"type": "graph",
"targets": [
{
"expr": "cassandra_disk_used_bytes"
}
]
},
{
"title": "Connection Count",
"type": "graph",
"targets": [
{
"expr": "cassandra_connected_clients"
}
]
}
]
}
}
Alerting Rules
# Prometheus alerting rules for Cassandra
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: cassandra-alerts
namespace: cassandra
spec:
groups:
- name: cassandra
rules:
- alert: CassandraNodeDown
expr: up{job="cassandra"} == 0
for: 5m
labels:
severity: critical
annotations:
summary: "Cassandra node {{ $labels.instance }} is down"
description: "Cassandra node {{ $labels.instance }} has been down for more than 5 minutes"
- alert: CassandraHighReadLatency
expr: rate(cassandra_read_latency_seconds_sum[5m]) / rate(cassandra_read_latency_seconds_count[5m]) > 0.1
for: 5m
labels:
severity: warning
annotations:
summary: "High read latency on {{ $labels.instance }}"
description: "Read latency is {{ $value }}s on {{ $labels.instance }}"
- alert: CassandraHighWriteLatency
expr: rate(cassandra_write_latency_seconds_sum[5m]) / rate(cassandra_write_latency_seconds_count[5m]) > 0.1
for: 5m
labels:
severity: warning
annotations:
summary: "High write latency on {{ $labels.instance }}"
description: "Write latency is {{ $value }}s on {{ $labels.instance }}"
- alert: CassandraHighJVMHeapUsage
expr: cassandra_jvm_heap_used_bytes / cassandra_jvm_heap_max_bytes * 100 > 80
for: 5m
labels:
severity: warning
annotations:
summary: "High JVM heap usage on {{ $labels.instance }}"
description: "JVM heap usage is {{ $value }}% on {{ $labels.instance }}"
- alert: CassandraHighDiskUsage
expr: cassandra_disk_used_bytes / cassandra_disk_total_bytes * 100 > 85
for: 5m
labels:
severity: warning
annotations:
summary: "High disk usage on {{ $labels.instance }}"
description: "Disk usage is {{ $value }}% on {{ $labels.instance }}"
Infrastructure as Code
Terraform Module
# Terraform module for Cassandra deployment
module "cassandra_cluster" {
source = "./modules/cassandra"
cluster_name = "production-cassandra"
node_count = 4
instance_type = "r6g.2xlarge"
volume_size = 500
volume_type = "gp3"
vpc_id = module.vpc.vpc_id
subnet_ids = module.vpc.private_subnet_ids
security_group_ids = [aws_security_group.cassandra.id]
backup_retention_days = 30
backup_s3_bucket = "cassandra-backups-${random_string.suffix.result}"
monitoring_enabled = true
encryption_enabled = true
tags = {
Environment = "production"
Project = "cassandra-cluster"
Owner = "platform-team"
}
}
Ansible Playbook
# Ansible playbook for Cassandra configuration
---
- name: Configure Cassandra 5.0 on AWS
hosts: cassandra_nodes
become: yes
vars:
cassandra_version: "5.0.0"
java_version: "11"
heap_size: "8G"
tasks:
- name: Update system packages
yum:
name: "*"
state: latest
- name: Install Java
yum:
name: "java-{{ java_version }}-openjdk"
state: present
- name: Create cassandra user
user:
name: cassandra
system: yes
shell: /bin/bash
home: /var/lib/cassandra
- name: Download and install Cassandra
get_url:
url: "https://downloads.apache.org/cassandra/{{ cassandra_version }}/apache-cassandra-{{ cassandra_version }}-bin.tar.gz"
dest: /tmp/
register: cassandra_download
- name: Extract Cassandra
unarchive:
src: "{{ cassandra_download.dest }}"
dest: /opt/
remote_src: yes
creates: "/opt/apache-cassandra-{{ cassandra_version }}"
- name: Create symlink
file:
src: "/opt/apache-cassandra-{{ cassandra_version }}"
dest: /opt/cassandra
state: link
- name: Set ownership
file:
path: /opt/cassandra
owner: cassandra
group: cassandra
recurse: yes
- name: Configure system limits
template:
src: limits.conf.j2
dest: /etc/security/limits.conf
backup: yes
- name: Configure sysctl
template:
src: sysctl.conf.j2
dest: /etc/sysctl.d/99-cassandra.conf
- name: Configure Cassandra
template:
src: cassandra.yaml.j2
dest: /opt/cassandra/conf/cassandra.yaml
owner: cassandra
group: cassandra
backup: yes
notify: restart cassandra
- name: Create systemd service
template:
src: cassandra.service.j2
dest: /etc/systemd/system/cassandra.service
notify:
- reload systemd
- restart cassandra
- name: Start and enable Cassandra
systemd:
name: cassandra
state: started
enabled: yes
handlers:
- name: reload systemd
systemd:
daemon_reload: yes
- name: restart cassandra
systemd:
name: cassandra
state: restarted
Backup and Recovery
Automated Backup with Medusa
# Medusa backup configuration
apiVersion: v1
kind: ConfigMap
metadata:
name: medusa-config
namespace: cassandra
data:
medusa.ini: |
[storage]
storage_provider = s3
bucket_name = cassandra-backups
key_file = /etc/medusa/credentials
[cassandra]
config_file = /etc/cassandra/cassandra.yaml
cql_username = cassandra
cql_password = cassandra
[monitoring]
enabled = True
[logging]
level = INFO
---
# Backup CronJob
apiVersion: batch/v1
kind: CronJob
metadata:
name: cassandra-backup
namespace: cassandra
spec:
schedule: "0 2 * * *"
jobTemplate:
spec:
template:
spec:
containers:
- name: medusa
image: thelastpickle/cassandra-medusa:latest
command:
- /bin/sh
- -c
- |
medusa backup --backup-name=backup-$(date +%Y%m%d-%H%M%S) --keyspace=system
medusa backup --backup-name=backup-$(date +%Y%m%d-%H%M%S) --keyspace=myapp
volumeMounts:
- name: medusa-config
mountPath: /etc/medusa
- name: aws-credentials
mountPath: /root/.aws
env:
- name: AWS_DEFAULT_REGION
value: "us-east-1"
volumes:
- name: medusa-config
configMap:
name: medusa-config
- name: aws-credentials
secret:
secretName: aws-credentials
restartPolicy: OnFailure
Testing and Validation
Performance Testing
#!/bin/bash
# Performance testing script using cassandra-stress
# Write test
cassandra-stress write n=1000000 \
-node cassandra-0.cassandra,cassandra-1.cassandra,cassandra-2.cassandra \
-rate threads=50 \
-schema keyspace="test_ks" \
-mode native cql3 \
-col n=FIXED(10) size=FIXED(1024)
# Read test
cassandra-stress read n=1000000 \
-node cassandra-0.cassandra,cassandra-1.cassandra,cassandra-2.cassandra \
-rate threads=50 \
-schema keyspace="test_ks" \
-mode native cql3
# Mixed workload test
cassandra-stress mixed ratio\(write=1,read=3\) n=1000000 \
-node cassandra-0.cassandra,cassandra-1.cassandra,cassandra-2.cassandra \
-rate threads=50 \
-schema keyspace="test_ks" \
-mode native cql3
Health Check Script
#!/usr/bin/env python3
import subprocess
import json
import sys
def check_cassandra_health():
"""Check Cassandra cluster health"""
# Check node status
try:
result = subprocess.run(['nodetool', 'status'],
capture_output=True, text=True)
print("Node Status:")
print(result.stdout)
# Check for down nodes
if "DN" in result.stdout:
print("ERROR: One or more nodes are down")
return False
except Exception as e:
print(f"Error checking node status: {e}")
return False
# Check ring status
try:
result = subprocess.run(['nodetool', 'ring'],
capture_output=True, text=True)
print("Ring Status:")
print(result.stdout)
except Exception as e:
print(f"Error checking ring status: {e}")
return False
# Check compaction stats
try:
result = subprocess.run(['nodetool', 'compactionstats'],
capture_output=True, text=True)
print("Compaction Stats:")
print(result.stdout)
except Exception as e:
print(f"Error checking compaction stats: {e}")
return False
return True
if __name__ == "__main__":
if check_cassandra_health():
print("Cassandra cluster is healthy")
sys.exit(0)
else:
print("Cassandra cluster health check failed")
sys.exit(1)
Migration Guide
Upgrading from Cassandra 4.x to 5.0
#!/bin/bash
# Cassandra 5.0 upgrade script
echo "Starting Cassandra 5.0 upgrade process..."
# Pre-upgrade checks
echo "Running pre-upgrade checks..."
nodetool snapshot
nodetool describecluster
nodetool status
# Upgrade process (rolling upgrade)
NODES=("cassandra-0" "cassandra-1" "cassandra-2" "cassandra-3")
for node in "${NODES[@]}"; do
echo "Upgrading node: $node"
# Drain the node
kubectl exec -n cassandra $node -- nodetool drain
# Stop Cassandra
kubectl patch statefulset cassandra -n cassandra --type='merge' -p='{"spec":{"replicas":3}}'
# Update image
kubectl set image statefulset/cassandra cassandra=cassandra:5.0.0 -n cassandra
# Wait for pod to be ready
kubectl wait --for=condition=ready pod/$node -n cassandra --timeout=300s
# Upgrade SSTables
kubectl exec -n cassandra $node -- nodetool upgradesstables
# Verify upgrade
kubectl exec -n cassandra $node -- nodetool version
echo "Node $node upgraded successfully"
done
echo "Cassandra 5.0 upgrade completed"
Summary
Modern Cassandra deployment in 2025 emphasizes:
- Cloud-Native Architecture - Kubernetes operators for automated management
- Enhanced Security - Zero-trust with encryption, RBAC, and IAM integration
- Advanced Features - ACID transactions, vector search, and cost-based optimization
- Modern Infrastructure - Graviton instances, NVMe storage, and multi-region deployment
- Comprehensive Monitoring - Prometheus/Grafana with automated alerting
- Automated Operations - Infrastructure as Code and CI/CD integration
- AI-Ready - Vector search and machine learning workload support
The shift to cloud-native patterns with Kubernetes operators significantly reduces operational complexity while improving reliability, security, and performance.
Related Resources
- Apache Cassandra 5.0 Documentation
- K8ssandra Operator
- Cassandra Kubernetes Operator
- AWS Graviton Performance Guide
- Prometheus Cassandra Exporter
About Cloudurable
We hope you enjoyed this modernized Cassandra deployment guide. Please provide feedback.
Cloudurable provides:
- Cassandra Training
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- Cloud-Native Architecture Services
Last updated: January 2025 for Apache Cassandra 5.0 and modern cloud-native deployment patterns
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