Is Gemini Advanced Truly Worth the Monthly Subscription Cost?
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Chapter 1: Introduction to Gemini Advanced
Gemini Advanced, the premium iteration of the AI language model Gemini, claims to offer improved coding capabilities and more lucid explanations of logical processes. But does the $20 monthly fee justify the upgrade? In this article, I will share my experiences with both Gemini and Gemini Advanced to help you determine if the subscription is a wise choice.
Here’s what I asked both versions:
> "I want the following:
> - a 3-node Zookeeper
> - a 5-node Apache NiFi
> - Zookeeper will manage the state of Apache NiFi.
> - All components should be Docker images.
> - Apache NiFi needs to be resilient. Should I use StatefulSet for this?
> - Please assist me in creating a deployment YAML for Kubernetes."
Though both models generated YAML configurations, neither provided a truly ready-to-use solution.
Here’s a sample from Gemini:
containers:
name: nifi
image: apache/nifi:latest
ports:
- containerPort: 8080
- containerPort: 9990
- containerPort: 6788
env:
name: ZOOKEEPER_CONNECT
value: "zookeeper-headless:2181"
volumeMounts:
name: nifi-flowfile-repo
mountPath: /opt/nifi/flowfile-repo
name: nifi-conf
mountPath: /opt/nifi/conf
name: nifi-logs
mountPath: /opt/nifi/logs
volumes:
name: nifi-flowfile-repo
persistentVolumeClaim:
claimName: nifi-flowfile-repo
name: nifi-conf
persistentVolumeClaim:
claimName: nifi-conf
name: nifi-logs
persistentVolumeClaim:
claimName: nifi-logs
And here’s what I received from Gemini Advanced:
serviceName: nifi
replicas: 5
selector:
matchLabels:
app: nifi
template:
metadata:
labels:
app: nifispec:
containers:
name: nifi
image: apache/nifi:latest
ports:
- containerPort: 8080
env:
name: NIFI_ZK_CONNECT_STRING
value: zookeeper-0.zookeeper-headless.my-namespace.svc.cluster.local:2181,zookeeper-1.zookeeper-headless.my-namespace.svc.cluster.local:2181,zookeeper-2.zookeeper-headless.my-namespace.svc.cluster.local:2181
volumeMounts:
name: nifi-data
mountPath: /opt/nifi/nifi-current/state
volumeClaimTemplates:
metadata:
name: nifi-data
spec:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 1Gi
While both models gave Zookeeper connection strings, I found neither was comprehensive enough on its own. I had to merge aspects from both responses to create a functioning configuration for the NiFi StatefulSet. I struggled with this task for a while, despite multiple prompts and descriptions of the error I encountered.
Section 1.1: Troubleshooting Kerberos Issues
I also utilized Gemini Advanced to address a Kerberos configuration problem. My query was:
> "I'm encountering org.ietf.jgss.GSSException: Invalid name provided (Mechanism level: KrbException: Cannot locate default realm) when using the NiFi publishKafka processor. What could be the issue?"
Gemini Advanced suggested several troubleshooting steps:
- Verify krb5.conf:
- Location: Typically found in /etc/krb5.conf.
- Contents: Ensure the [realms] section accurately defines your default realm, and the [domain_realm] section maps domain names to Kerberos realms.
- Check Service Principal Name (SPN):
- Confirm the SPN is formatted as kafka/kafka-broker-hostname@YOUR_REALM.COM. Substitute the placeholders with the actual Kafka broker's hostname and your Kerberos realm.
- Review Network Settings:
- DNS: Can your system resolve the KDC hostname? Use tools like nslookup or dig.
- Firewalls: Ensure firewalls are not obstructing Kerberos traffic (usually ports 88 and 750).
- Obtain a Kerberos Ticket:
- Use the kinit command to acquire a new Kerberos ticket (e.g., kinit your_username@YOUR_REALM.COM).
- Java Authentication Settings:
- JAAS Configuration: If using a JAAS configuration file, ensure it is set up correctly and referenced by your NiFi processor.
- JVM Properties: You may need to specify system properties like java.security.krb5.conf to point to your krb5.conf file.
Example krb5.conf:
[libdefaults]
default_realm = EXAMPLE.COM
[realms]
EXAMPLE.COM = {
kdc = kdc.example.com
admin_server = kdc.example.com
}
[domain_realm]
.example.com = EXAMPLE.COM
example.com = EXAMPLE.COM
I will need to test each suggestion individually to pinpoint the root cause.
Chapter 2: Conclusion
In conclusion, my journey with Gemini Advanced has not been as seamless as I anticipated. I find myself questioning whether the $20 monthly subscription is justified. Perhaps the non-premium version of Gemini could suffice with additional prompts.
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The first video titled "Google Gemini Ultra 1.0 Complete Review - Worth the Upgrade?" delves into the features and performance of Gemini Ultra, weighing the benefits of the upgrade against the cost.
The second video titled "Google Gemini Advanced Review: Usefulness Over Benchmarks" analyzes the practicality of Gemini Advanced, focusing on real-world applications beyond mere benchmarks.