Top 15 Google Cloud Tools Every Developer Should Know!

Cloud computing is a popular solution for Cloud experts and enterprises alike. But what makes it accessible and highly popular?

Due to their extensive, cost-effective options and easy setup and configuration, developers and businesses prefer cloud storage. Google Cloud DevOps tools offer a range of benefits over traditional on-premises solutions at any time. To know more about how cloud-computing works, opt for online certification courses in Cloud Computing.

In this article, we will examine the features some top tools have to offer in terms of several pointers. We will also direct our readers to choose the most effective cloud computing tool.

Why Choose the Google Cloud Platform?

Not all tools can come in handy regarding storage and networking, automation, and even scalability. Google Cloud Platform tools offer various services developers can use to multiply their work outcomes. 

Our curated list shows how various tools can automate and streamline the user's tasks.

Here are some pointers to get our readers started on the journey involving Google tools. Bear in mind that these pointers are in keeping with the latest features involving these tools:

• Scalability
• Reliability
• Integration
• Customer support
• Cost-effectiveness
• Security and Compliance
• Storage facility

Top Google Cloud Tools

Throughout this list, we will identify some of the topmost Google Cloud tools we can implement daily. These are listed below, starting from Google Kubernetes to Google Cloud Run.

1. Google Kubernetes Engine 

Google Kubernetes Engine (GKE) was introduced for deploying production-ready applications. It consists of a powerful cluster manager and orchestration tool for running Docker containers. 

Key features: 

• Automated orchestration: Kubernetes deploys, scales, and manages containerized applications.
• Self-healing characteristic: Its self-healing properties ensure containers run in the required state.
• Service discovery: Kubernetes offers service discovery as one of its many features, thereby enabling the distribution of the application across multiple nodes.

Pros: 

• Ease of use
• Cost-effective; offers pay-as-you-go option
• Supports container orchestration
• Seamless integration with Google Cloud platform services

Cons:

• Limited customization options
• Less reliability than other orchestration products
• Not for beginners
• Limited non-cloud service support

Recommended for:

Developers looking for maintenance of Docker containers can go for this tool. It is highly recommended for automating the deployment and management of containerized applications.

2. Anthos

Anthos is a cloud-based platform devised by Google Cloud that offers an open-ended platform for managing applications. It supports multiple clouds and monitors services, including security, compliance, and governance tools.

Key features:

• Multi-cloud and hybrid facilities: Anthos employs multi-cloud capabilities across its platforms, suited for on-premise environments.
• Unified security and compliance: Its dashboard looks at all environments' security, compliance, and policy management.
• Automated operations and management: Anthos offers a platform for users to carry out and maintain their workloads.

Pros:

• Supports cost optimization
• Accelerates cloud adoption and migration
• A unified environment for hybrid and multi-cloud environments
• Supports both on-premise and cloud-native applications

Cons:

• Time-consuming setup and configuration
• Complex integration with existing IT systems
• Not for novice developers
• Costly to maintain

Recommended for: 

Businesses that want to build, manage, and secure their applications from scratch can opt for this cloud tool.

3. Google Cloud Storage 

Google Cloud Storage is an all-in-one storage solution that exemplifies products and services, including file storage and a Content Delivery Network (CDN). Google cloud reporting tool is the leading storage solution for developers globally.

Key features:

• High scalability: Google Cloud Storage platform allows users to have high scalability for storing and accessing data.
• Cost-effective options: Google offers competitive pricing driving users to store large ratios of data without spending too much.
• High reliability: It is built on Google's trademark infrastructure, offering users the advantage of reliability.

Pros:

• High levels of flexibility and scalability
• Secure and upfront storage
• Affordable pricing options
• Automated backups and data protection

Cons:

• Limited storage space in the free tier
• Lack of customization
• Low bandwidth limits
• Lack of file-sharing Google Cloud Command Line tools

Recommended for: 

Google Cloud Storage is a must-use for storing and retrieving heaps of unstructured data without slowing down the system. 

4. Persistent Disk

Google Cloud Persistent Disk comes under Google Cloud developer tools that offer users a high-performance and scalability solution. It is best suited for applications and workloads requiring persistent block storage.

Key features:

• Encryption: With Google's range of security and compliance, users can ensure their data is automatically encrypted.
• Versatility: Google offers a variety of performances aimed at getting the best out of the application at the user's end.
• Backup and storage: With Persistent Disk, users can back up and snapshot their disks for quick disaster recovery.

Pros:

• High durability
• Ease-of-use
• High-performance model
• Flexible pricing options

Cons:

• Costly compared to traditional storage systems
• Unpartable data stored on persistent disks
• Limited I/O performance
• Capped integration with Google Cloud monitoring tools

Recommended for:

A developer looking for high reliability and consistent disk performance can opt for a Persistent Disk.

5. Local SSD

Local SSDs are a storage solution that can be accessed with the help of Google Cloud Platform Console or a Gcloud command line tool. It is a high-performance block storage solution attached to the Google Compute Engine (GCE).

Key features:

• High performance: Local SSDs offer low latency, which can be highly effective for higher throughput.
• Durability: Due to its enterprise-grade interface, it can tolerate a range of cloud-native and storage solutions.
• More effortless scalability: Local SSDs allow scaling up and down depending on the needs of the developer and the application.

Pros:

• Faster data access
• Highly reliable
• Low latency
• Less power consumption

Cons:

• Cost-effective
• Limited data storage capacity
• Excessive fragility
• Limited compatibility

Recommended for: 

BigQuery is a cloud solution that can benefit developers and companies looking for high performance and low consumption of resources simultaneously.

6. Filestore

Filestore is a tool under Google cloud security tools that helps store, manipulate, and access large amounts of data without the hassle of manually updating the storage. It allows businesses to access and store data with ease.

Key features:

• Security: Filestore's vast data policies ensure that it is highly encrypted and stored in a secure location, away from discrepancies.
• Accessibility: Users can easily access their data from the comforts of their homes, which enables them to save time and collaborate on more projects.
• Cost-effectiveness: As Filestore is designed to be cost-effective, it offers many user plans with no additional maintenance charges.

Pros:

• Easy to use
• Secure encryptions and authentications
• Cost-effective plans
• High scalability

Cons:

• Lack of control
• Risk of data loss
• Slow speed and performance
• Vulnerable to malware

Recommended for:

Filestore can be used by individuals and businesses alike for its reliable and cost-effective storage solutions. Due to its high performance and data security features, it can benefit all parties involved.

7. BigQuery

BigQuery's Google Cloud Security tools allow users to access a cloud-native service that automates data transfer. With the help of this storage device, developers can easily streamline their batch operations while querying large datasets effectively.

Key features:

• Scalability: BigQuery is designed to handle and scale petabytes with large datasets. As a result, it can manage large amounts of data and aid data warehousing and analytics.
• Cost savings: BigQuery offers a pay-as-you-go service for easier scaling and using its services without thinking of extravagant costs.
• Data flexibility: BigQuery supports various data formats, including JSON, CSV, and Avro, making it ideal for streaming data from multiple sources.

Pros:

• High scalability
• Multiple integrations
• Security models like data encryption and access control
• Cost-effective nature

Cons:

• Complex queries
• Slow performance
• Limited documentation
• Limited support for queries and modeling

Recommended for: 

Data scientists and data analysts can rely on the solutions offered by BigQuery as it can help them analyze large datasets. Its Google cloud analytics tools can be highly efficient too.

8. Cloud Run

Google Cloud Run is a cloud-computing platform that assures easy deployment to users in terms of stateless containers. Its Google Cloud testing tools rule out infrastructure and introduce automation management instead.

Key features:

• Autoscaling: Cloud run can autoscale based on the applications' demands, enabling full resource use.
• High availability: The high availability of a user's applications ensures that all of them are up and running.
• Pricing options: It provides several pricing models making it easier to pay for resources without additional charges.

Pros:

• Easily deployable
• Cost-effective options
• Secure database and infrastructure
• Highly scalable

Cons:

• Lack of language support
• Limited debugging and logging
• Less persistent storage
• Limited documentation

Recommended for: 

Cloud Run is beneficial in deploying containerized applications using a full-fledged serverless platform. It is a must-have for companies looking for an easily scalable and limited feature tool.

9. Google App Engine

Google App Engine (GAE) is a cloud computing storage platform enabling users to build and deploy web applications. Its interface allows both building and hosting of web applications.

Key features:

• Security: Google App Engine has a data access feature that allows users to establish a secure connection between services and applications.
• Easy deployment: Google Cloud Automation tools offer accessible deployment features allowing developers to quickly deploy their applications without much hassle.
• Lack of server maintenance: There is no server maintenance at the developers' end. Google handles server maintenance and does not charge an additional fee.

Pros:

• Scalable interface
• Easy to use
• Cost-effective options
• Robust security

Cons:

• Lack of dedicated servers
• Limited resources
• Less flexibility
• Slow performance

Recommended for: 

It is highly recommended for developers and companies needing a trustworthy web application hosting platform.

10. Cloud HPC Toolkit

Cloud HPC Toolkit consists of resources by Google cloud AI tools meant for streamlining the management of workloads on cloud computing platforms. It offers a unified interface for developers to create and manipulate HPC clusters, a step towards machine learning.

Key features:

• Automated cluster scaling: Due to its automatic cluster scaling feature, it can help save time and resources without the need for manual intervention.
• HPC optimization: The high-performance computing (HPC) storage solution ensures high performance in small-scale and extensive workloads.
• Pre-configured software stack: Pre-configured software stacks streamline operations and save the time needed to deploy a cluster.

Pros:

• Ease of use
• Automated solutions
• Good scalability
• Cost-effective solutions

Cons:

• Security issues
• Limited features
• Low reliability
• Limited compatibility

Recommended for: 

Cloud HPC toolkit is recommended for developers looking for reasonable cloud computing solutions. It is easier to maintain high-performance computing workloads with this tool.

11. Cloud Fleet Routing API

Cloud Fleet Routing API is a powerful tool that enables businesses to optimize and automate their fleet routing operations using cloud-based technology.

Key Features: 

• Network optimization: It allows users to experience high levels of performance across several networks. 
• Network scalability: Cloud Fleet Routing API’s networking feature allows programmers to deploy clusters with ease. 
• Fault tolerance: It ensures clear and balanced availability of services without causing a node failure. It even accounts for data center failure and provides clearance from these issues. 

Pros: 

• Faster route optimization 
• Increased visibility 
• Cost-saving options 
• Customizable software 

Cons:

• Set-up and overhead costs 
• Not for novice developers 
• Inaccurate data analysis 
• Security concerns 

Recommended for:

The Fleet Routing API feature is well-suited for organizations looking to amplify their fleet operations, while also adapting to changing circumstances. 

12. Google Workspace SAP Integrations

Google Workspace and SAP integrates come together to create a virtual workspace that provides an integrated cloud computing service. It allows users to connect their workspace accounts with SAP structures for easy management. 

Key Features: 

• Automation and synchronization: With Google Workspace SAP Integrations, Google can easily sync and handle SAP records for real-time data access. 
• Unified security: Owing to its all-in-one feature, this tool can guarantee authentication and authorization in line with a secure SSO.
• User Provisioning: Using this tool, users can easily build and manage their accounts across a range of platforms. 

Pros:

• Integration with Google Workspace and SAP systems 
• Automated analytics and reporting 
• Cost-effective option 
• Increased efficiency 

Cons:

• Configuration, setup and maintenance costs 
• Compatibility issues 
• Data privacy risks 
• Integration issues

Recommended for: 

Any organization can use Google Workspace SAP Integrations for upscaling their business. Users can easily access and control data among multiple systems while improving collaboration and optimizing networking operations. 

13. Google Distributed Cloud Virtual

Google Distributed Cloud Virtual (DCV) is a cloud-based solution that streamlines GCE virtual machines in a range of geographic locations. It can be integrated with Google Compute Engine (GCE) virtual machines. 

Key Features:

• Automated infrastructure: Due to its independent scaling feature, it enhances dynamic resources and computes them easily.
• Easy resource allocation: It allocates resources within several data centers making it an excellent model for data availability.
• Networking efficiency: Google Distributed Cloud Virtual provides a platform for secure connectivity among cloud infrastructure. 

Pros: 

• Increased scalability 
• Pay-as-you-go model 
• Improved performance 
• Enhanced security and disaster management 

Cons:

• Lacks technical support 
• Lack of network control 
• Complex setup and configuration 
• Potential data latency 

Recommended for: 

Google Distributed Cloud Virtual is highly recommended for organizations looking for a scalable and cost-effective alternative. It is best-suited for expanding and scaling solutions. 

14. Confidential GKE Nodes

Google Cloud Platform utilizes this feature needed for identifying, and labeling access to Confidential GKE Nodes. This also includes monitoring of activities within the GKE cluster. 

Key Features: 

• GKE Nodes: GKE Nodes is a feature that can be utilized towards provisioning and scheduling nodes on Google Cloud Platform. 
• Cloud tool: As a cloud tool, Confidential GKE Nodes can automate management tasks with an intuitive UI. For the same purpose, it can also use an API-based command-line interface. 
• Creative dashboard: GKE Nodes allows developers to build and configure multiple clusters, and manage them across the platform while deploying them quickly. 

Pros:

• Strong security 
• Automated task system 
• Increased scalability 
• Multiple integration support 

Cons:

• Higher costs 
• Lack of customization 
• Negative performance 
• Complex network policies 

Recommended for:

GKE is recommended for companies that operate a highly intricate structure. For instance, it can be used for managing Kubernetes and deploying them successfully. 

15. Network Analyzer

Network Analyzer is a network performance tool used in the monitoring and analysis of Google Cloud Platform. It gives network administrators the authority to monitor and troubleshoot potential issues with the network.

Key Features: 

• Real-time insight: With Network Analyzer, developers can monitor, and analyze network traffic without facing any hassles. 
• Configuration management: One can easily configure changes and automate them using this software. 
• Traffic analysis and reporting: Network Analyzer tracks and diagnoses real-time traffic patterns and creates reports to share with teams. 

Pros: 

• Network insights 
• Accurate diagnostic reports 
• Monitors network performance
• Identifies bandwidth 

Cons: 

• Expensive plans 
• Not suited for novice 
• High volumes of data 
• Software and hardware inaccuracy 

Recommended for: 

Google Cloud Network Analyzer is recommended for individuals working in the networking domain. These include DevOps engineers, application developers, and system engineers.

How to Choose a Google Cloud Tool?

When selecting a Google Cloud tool, developers can consider and implement the topmost needs in the project. For instance, they can go through these features:

• Scalability
• Compatibility
• Automation
• User reviews
• Feedback

While choosing the best tool for a task is essential, it is always good to know which tools have their limitations and shortcomings.

Google Cloud tools take users on a tour of advanced services they can utilize in their projects without the slightest doubt of misjudgment. Additionally, most tools listed above offer a free trial which can be taken advantage of before settling for a subscription.

Considering the limitations of the Google Cloud tools, one can also opt for AWS Certified Cloud Practitioner Training, where they'll have a hands-on approach to multiple facets of the tool.

Conclusion

So far, we have deduced that Google Cloud management tools help out developers looking to make their work more efficient. Its wide range of tools gives users an upper hand in completing their tasks quickly. 

While the top 10 Google Cloud tools are described above, there are more to come in the future. In addition to Google Cloud Platform tools, developers can benefit from an online certification course in cloud computing. Opt for KnowledgeHut online certification courses in Cloud Computing accessing a range of cloud computing concepts.

Now is the right time to sign up for the next batch of cloud computing experts! Apply today.