Time is of the essence. Developers worldwide are perennially hard-pressed for time, whether now or in the future. This is one of the reasons why Google Cloud gained enough traction despite its relatively late entry into the market. Google went the extra mile and focused immensely on integrating its cloud technology with productivity tools.
However, as with every cloud, Google Cloud is immensely vast, and it can be challenging to identify the best tools among the wide range Google offers. In this blog, we will examine the tools that every Google enthusiast and expert should have.
1) Google Kubernetes Engine (GKE)
Kubernetes is one of the most popular tools among developers. Developed by Google, Kubernetes or K8s is an open-source containerization platform that propels productivity. Given its roots, it is no surprise that Google developed GKE, a dedicated tool that oversees the deployment and maintenance of containers.
The GKE opens the doors to swift development and deployment of Kubernetes-based applications. Despite the speed, security is not hampered in any way. What’s more, GKE comes packed with Autopilot mode, which can fully manage an entire cluster. In short, users can fully manage their container applications using GKE.
This management of K8s from GKE is possible as the tool houses app monitoring performance, in-built command libraries for app execution, and seamless scalability. Due to its centralized focus on K8s, this is one of the most sought-after tools for dealing with Kubernetes.
Also Read: Kubernetes Adoption: The Prime Drivers and Challenges
2) BigQuery
BigQuery is the pitstop for data. It not only stores data but also analyzes it. Users of BigQuery will be able to visualize their data production and gain vital statistics as the package boasts of Machine Learning (ML) and Business Intel (BI). These two features dole out insights once the users easily upload the data. The data can be uploaded through different channels. The upload routes range from Google Assistant to automated machines.
What sets BigQuery apart is that one can analyze the data stored elsewhere. Despite BigQuery’s many features, it is easy to navigate as Google made its UI intuitively easy to operate. One can access the tool from Google Cloud Console and further interact with it using command-line or API client libraries.
Novices can hone their skills by drawing knowledge from Google Cloud programs like Google Cloud Skills Boost. However, as time is a luxury, companies hire the services of Veritis as we have doled out solutions that are high on efficiency and cost-effectiveness.
3) Filestore
Filestore, Google’s managed storage service, paves the way for low-latency operations for applications requiring perpetual data access. Filestore makes data sourcing easy as it can pool data through virtual machines, compute engines, and GKE.
While many similar tools exist, Filestore is a powerhouse that doesn’t buckle under pressure. It can support 920k input/output operations per second (IOPS), which is a breakneck speed that facilitates low-latency operations in fields ranging from data analytics to genomics data processing.
Google left no stone unturned as it addressed storage issues with Filestore itself. The tool can store 100TB of data and transfer the same at the lightning speed of 25 GB/s.
4) Persistent Disk
Google has named this tool quite aptly, as Persistent Disks are all about reliability. As you might have guessed, this storage tool is tailored for virtual machines demanding swift data access. It also offers automatic encryption for block storage, ranging from HDDs to SSDs.
While reliable solutions are rigid, Persistent Disks are quite flexible. They encompass various operation models, from real-time upscaling of the disk size to toggling disks from SSD to HDD. The latter is done whenever an app needs higher IOPS speed.
The tool can be run on Compute Engine and GKE, and it can also be delinked to keep the data safe once the operations on the virtual machines are complete.
5) Anthos
In the age of multi-cloud operations, Google has developed Anthos, a tool that allows you to execute operations across multiple clouds, regardless of geographical location. It is the first cloud tool to support multi-cloud and hybrid app deployment. This tool can be used alone to manage the GKE clusters and handle workloads on virtual machines. If this is not enough, you can maintain the AWS operations from Anthos itself.
What gives Anthos its aura is that one doesn’t need to establish a hypervisor or virtual machine monitor (VMM) software to run the tool on their infrastructure. With Anthos, you can create, automate, and enforce security measures throughout the infrastructure. In a nutshell, Anthos connects multiple servers and infrastructures.
Also Read: Hybrid Cloud Vs Multi Cloud: What’s the Difference!
6) App Engine
Today’s world wants everything to be done with a few clicks. App Engine imbibed the same spirit as developers can build web applications on any of the supported languages and deploy them using the cloud auth application. The app engine will upload and execute the code using Google Code. The tool will scale the application based on the application usage.
As the tool auto-scales the apps, the App Engine subscribers would shed unwanted weight, such as hosting infrastructure and other resources. The App Engine doles out SSL certificates for data transfer for web or mobile apps at no additional cost.
7) Cloud Spanner
Cloud Spanner is best suited for critical apps that use real-time data with zero latency. This tool is a managed relational database that brings in real-time data, which makes live workload management easy. Like Anthos, it supports hybrid functionality and brings in the best relational and NoSQL databases.
One can use this tool from Google Cloud Console or the gcloud command-line interface.
Also Read: Cloud Implementation Services: Strategy, Solutions and Benefits
In Conclusion
Google Cloud is one of the most flexible cloud technologies. Though AWS and Azure are leading the pack, Google Cloud is not far behind. If anything, with GKE and other features such as Anthos, Google Cloud has created its niche.
However, there are many productive tools on Google, and though we listed some of them here, it is understandable that not many are relevant to your business. This is the reason why we, Veritis, take our time to tailor unique solutions for our customers. Whether AWS, Azure or Google Cloud, we have an expert team to meet your needs.
Contact us and walk away with a cloud solution that suits your needs.
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