1) Open-source software for the following cloud storage:
Block
Storage: Red Hat Ceph Storage
File
Storage: OwnCloud
Object
Storage: OpenStack Swift
SQL
database: MySQL
Key-value
database: Aerospike
Document-based
database: MongoDB
Column-based
database: Clickhouse
Graph-based
database: Neo4j
2) Difference between virtual machines and containers:
Feature |
Virtual Machines |
Containers |
Booting time |
Takes several minutes |
Starts instantly |
Size |
Larger size (upto few Gigabytes) |
Smaller size (within Megabytes) |
Isolation |
Provides complete isolation from the host operating system |
Provides lightweight isolation from the host |
Migration |
Migration of any application workload between different virtual machines needs the entire OS to migrate along with it. |
Migration of containers don’t need to perform complex configuration tasks. The workloads migrate across the physical resources. |
Security |
Security attacks are very well understood and can be tackled. The security is good. |
Security attacks can’t be well understood as no one really knows from where the attacks could come. The security is less than Virtual Machines. |
3) Difference between Kubernetes and Docker Swarm:
Point of Difference |
Kubernetes |
Docker Swarm |
Application Deployment |
The deployment of applications includes myriad of microservices, pods and deployments. |
Applications can be used only as microservices in the swarm cluster. |
Scalability |
It acts like an all-in-one framework while working with distributed systems. Thus, it is more complicated as it provides stronger guarantees in terms of unified set of APIs and cluster state. |
It can deploy containers much faster than Kubernetes, that allows faster reaction times for scaling on demand. |
Networking |
Kubernetes has a flat network model, allowing all the pods to communicate with each other. |
When a node joins the swarm cluster, an overlay network is created for services for each host in the docker swarm. |
Logging and Monitoring |
It includes built-in tools to manage both processes. |
It doesn’t require to use any tools for logging and monitoring. |
GUI |
It has detailed dashboards that allow even non-technical users to control the clusters effectively. |
Alternatively, it requires a third-party tool like Portainer.io for managing the UI conveniently. |
4) Advantages of NoSQL:
· It handles large volumes of data at high speed using a scale-out architecture.
· It enables easy updates to the schemas and fields.
· It is developer friendly.
· It takes full advantage of the cloud, thus, delivering zero downtime.
· It stores unstructured, semi-structured or structured data.
Disadvantages of NoSQL:
· It doesn’t has the reliability functions which Relational Databases have.
· It lacks a standardized platform like SQL, which prevents it from further expanding.
· It is not at all compatible with SQL.
· It is very less stable as it is very new as compared to Relational Databases and thus may have less functionalities.
· For supporting ACID, developers will need to implement their own codes that makes their systems more complex.
1. Give an open-source software for the following cloud storage? Block storage: File storage: Object storage:...
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