2023 Amarello
Google Cloud Partner Of The Year
Our solutions drive innovation and digital transformation
With more than 12 years of experience implementing solutions in corporate worlds, at Amarello we have created a secure path to the cloud without complications for companies of any size. Our specializations in Infrastructure and Data Analytics as Google Cloud Partner Premier, have led us to gain the recognition and trust of major national and international brands.
Application
Modernization
Apigee is a fully managed API management platform that helps companies create, manage and secure their APIs safely and efficiently.
With Apigee, companies can:
- Create secure and scalable APIs
- Manage access to your APIs
- Monitor the performance of your APIs
- Generate reports on the use of your APIs
Apigee can be used by companies of all sizes and industries to connect their applications and services, improve user experience and increase business revenue.
Want to learn more about how Apigee can help you?
Contact us today.
API Factory: create and manage APIs quickly and easily
API Factory is an API creation and management platform that helps you:
- Create APIs quickly and easily
- Manage access to your APIs
- Monitor the performance of your APIs
- Generate reports on the use of your APIs
With API Factory, you can create APIs in a secure and scalable way, without the need for advanced programming skills.
API Factory is an ideal solution for companies of all sizes and industries that want to take advantage of APIs to connect their applications and services, improve user experience and increase business revenue.
Want to learn more about how API Factory can help you?
Contact us today.
Anthos is a leading cloud container platform that enables you to run modern applications anywhere consistently at scale.
With Anthos, companies can:
- Create and deploy modern applications in your data centers, retail perimeter locations, factories, stadiums and more.
- Manage your applications centrally from a single console.
- Take advantage of Google Cloud technologies such as Kubernetes, Cloud SQL and Cloud Storage.
Anthos is an ideal solution for companies of all sizes and industries that want to modernize their applications and take advantage of the benefits of the hybrid cloud.
Want to learn more about how Anthos can help you?
Contact us today.
Microservices Factory: create agile and scalable applications
Microservices Factory is a software development framework that simplifies the creation, deployment and management of microservices-based applications.
With Microservices Factory, organizations can:
- Create microservices quickly and in a standardized way
- Implement microservices reliably and scalably
- Manage microservices centrally and efficiently
Microservices Factory is an ideal solution for companies of all sizes and industries that want to adopt a microservices architecture.
Want to learn more about how Microservices Factory can help you?
Contact us today.
DevSecOps: integrated security in development
DevSecOps is a software development practice that integrates security into all aspects of the process, from planning to implementation.
The goal of DevSecOps is to ensure that applications are secure from the start, avoiding the need for costly and time-consuming security changes later.
DevSecOps combines development, security and operations best practices to create a more secure and efficient development process.
Some of the key DevSecOps practices include:
- Involve security teams from the beginning of the development process.
- Automate security testing
- Adopt a safety culture throughout the organization.
DevSecOps is an increasingly important practice as organizations adopt agile and DevOps development models.
DevSecOps benefits include:
- Improved application security
- Reduction of security costs
- Increased speed and efficiency of development
Apigee + Anthos: the perfect combination for digital transformation
Apigee is an API management platform that helps organizations create, manage and secure their APIs safely and efficiently.
Anthos is a leading cloud container platform that enables you to run modern applications anywhere consistently at scale.
By combining Apigee and Anthos, organizations can:
- Create secure and scalable APIs
- Implement APIs anywhere
- Centralized API management
Apigee + Anthos is an ideal solution for organizations of all sizes and industries that want to modernize their applications and take advantage of the benefits of the hybrid cloud.
Specific benefits of combining Apigee and Anthos include:
- Enhanced security: Apigee provides a wide range of security features to protect APIs, such as authentication, authorization and encryption. Anthos provides a secure environment for running APIs, with features such as network isolation and attack protection.
- Scalability: Apigee and Anthos are designed to scale horizontally, allowing organizations to adapt their APIs to changing business needs.
- Centralized management: Apigee and Anthos provide a centralized management console that allows organizations to manage their APIs from a single location.
Apigee + Anthos is a powerful solution that can help organizations accelerate their digital transformation.
Managed services: a way to free yourself from administrative tasks
Managed services are a solution that allows organizations to outsource the management of their IT systems and services.
Managed services can cover a wide range of functions, including:
- Technical Support
- Network management
- Server management
- Application management
- Security
By outsourcing the management of their IT systems and services, organizations can:
- Relieve yourself of administrative tasks
- Concentrate on your core activities
- Improve efficiency and productivity
Smart
Analytics & Ai
Google Data Lakehouse: the best of both worlds
Google Data Lakehouse is a data platform that combines the benefits of data lakes and data warehouses in a single platform.
Data lakes are unstructured data warehouses that can store data from a wide variety of sources, such as logs, sensors and applications. Data warehouses are centralized systems for storing and analyzing structured data.
Google Data Lakehouse combines the benefits of both types of data storage, enabling organizations:
- Store data of any type
- Analyze data quickly and efficiently
- Manage data securely and scalably
Looker is a modern business intelligence platform that enables organizations to explore, analyze and visualize data quickly and easily.
Looker offers a wide range of functions, including:
- Data exploration: Looker provides an intuitive user interface that allows users to explore data visually and interactively.
- Analytics: Looker offers a wide range of analytics tools to help organizations understand their data.
- Visualization: Looker offers a wide range of visualization options to help organizations communicate their analysis results.
Looker is an ideal solution for organizations of all sizes and industries that want to harness the power of data to make more informed decisions.
Some of Looker’s specific benefits include:
- Easy exploration and analysis: Looker provides an intuitive user interface that makes data exploration and analysis simple for users of all experience levels.
- Engaging visualization: Looker offers a wide range of visualization options that enable organizations to communicate their analysis results in an attractive and effective way.
- Integration with other applications: Looker integrates with a wide range of enterprise applications, enabling organizations to leverage their data across their organization.
If your organization is looking for a business intelligence platform that allows you to explore, analyze and visualize data quickly and easily, Looker is an option to consider.
Here is a shorter summary:
Looker is a BI platform that enables organizations to explore, analyze and visualize data quickly and easily.
Customer Data Platform (CDP) is a software platform that collects and unifies customer data from a wide variety of sources, such as websites, mobile applications, CRM and marketing systems.
A PDC enables organizations to:
- Create a unified profile of each customer
- Segmenting customers for more effective marketing campaigns
- Personalize the customer experience
CDPs are becoming an increasingly important tool for organizations that want to harness the power of customer data to improve their customer relationships.
Some of the specific benefits of PDCs include:
- Improving customer understanding: CDPs can help organizations better understand their customers by collecting data from a wide variety of sources.
- Improved marketing effectiveness: PDCs can help organizations segment customers more effectively for more efficient marketing campaigns.
- Improving customer experience: CDPs can help organizations personalize the customer experience to improve customer satisfaction.
If your organization is looking for a way to harness the power of customer data to improve your customer relationships, a CDP may be a good option.
Here is a shorter summary:
A CDP is a software platform that collects and unifies customer data from a wide variety of sources.
Machine Learning Operationalization (MLOps) is the process of bringing machine learning models into production in an efficient, reliable and scalable manner. It involves a set of practices, tools and processes that enable organizations to implement machine learning models in their production systems and monitor their performance in real time.
MLOps is essential for organizations to get the maximum value from their machine learning investments. By automating the deployment and monitoring process, MLOps helps organizations reduce the time and cost of bringing machine learning models into production, as well as improve the quality and reliability of models in production.
Key benefits of MLOps include:
- Accelerating the time-to-market of machine learning models
- Improving the quality and reliability of production machine learning models
- Reduced cost of implementing and monitoring machine learning models
- Increased agility to respond to business and data changes
MLOps is a relatively new practice, but it is rapidly gaining popularity as organizations adopt machine learning on a larger scale. There are a number of tools and platforms available to help organizations implement MLOps, and the MLOps community is growing rapidly.
If your organization is using machine learning, MLOps is an essential tool for getting the most value from your investments.
Model training is the process of teaching a machine to perform a given task. In the context of machine learning, model training involves providing a machine with a set of training data, which consists of examples of the task you want the machine to perform. The machine then uses this data to learn to identify patterns and relationships between the input data and the desired output data.
Model monitoring is essential to ensure that machine learning models continue to perform correctly in production. Without monitoring, models can degrade or deteriorate over time, which can lead to incorrect results or even financial losses.
Key benefits of model monitoring include:
- Ensuring the quality and accuracy of model results
- Quickly identify and correct problems with models
- Keeping models up to date with changes in data and business requirements
Model monitoring can be performed manually or by automated tools. Automated model monitoring tools can collect data on model performance, analyze this data and generate real-time alerts.
Metrics that can be monitored to evaluate model performance include:
- Accuracy: Model accuracy refers to the probability that the model will generate a correct result.
- Recall: Model recall refers to the probability that the model will generate a correct result given that the correct result is true.
- F1-score: The F1-score is a combination of precision and recall.
- Response time: The response time of the model refers to the time it takes for the model to generate a result.
Model monitoring is an essential part of the machine learning lifecycle. By monitoring machine learning models in production, organizations can ensure that the models continue to perform correctly and provide accurate results.
AntEater is an open source machine learning framework created by Google AI. It is designed to make it easy for developers to create, train and deploy machine learning models.
AntEater offers a number of features that make it a powerful tool for machine learning:
- A modular approach: AntEater is designed in a modular fashion, allowing developers to customize the framework for their specific needs.
- A high-level approach: AntEater provides a high-level API that simplifies the process of creating, training and deploying machine learning models.
- An open source approach: AntEater is freely and openly available, allowing the developer community to contribute to the development of the framework.
AntEater can be used for a wide range of machine learning tasks, including:
- Classification: AntEater can be used to classify data into categories. For example, it can be used to classify images as cats or dogs.
- Regression: AntEater can be used to predict continuous values. For example, it can be used to predict stock prices or weather.
- Supervised learning: AntEater can be used to learn from labeled data. For example, it can be used to learn to identify cat images from a dataset of labeled cat images.
- Unsupervised learning: AntEater can be used to learn from unlabeled data. For example, it can be used to group customer data based on their characteristics.
AntEater is a powerful tool that can be used for a wide range of machine learning tasks. It is a good choice for developers looking for a simple way to create, train and deploy machine learning models.
Here is a shorter summary:
AntEater is an open source machine learning framework that simplifies the creation, training and deployment of machine learning models.
Infrastructure
Modernization
A landing zone is a well-designed cloud environment that is a starting point from which you can deploy workloads and applications.
A landing zone usually includes the following elements:
- A cloud infrastructure: This includes the creation of accounts, regions and availability zones.
- A security architecture: This includes the configuration of firewalls, network rules and access policies.
- A data platform: This includes the creation of data warehouses, databases and analytics systems.
- An application platform: This includes the creation of servers, containers and web applications.
A landing zone is important because it provides a solid foundation for the deployment of workloads and applications in the cloud. By creating a landing zone, organizations can ensure that their workloads and applications are secure, scalable and reliable.
Key benefits of a landing zone include:
- Security: A well-designed landing zone can help protect workloads and cloud applications from attacks.
- Scalability: A landing zone can be scaled to meet the changing needs of workloads and applications.
- Reliability: A landing zone can help ensure that workloads and applications are available when needed.
Organizations of all sizes and industries can benefit from the creation of a landing zone. A landing zone can help organizations harness the power of the cloud in a secure, scalable and reliable way.
Here is a shorter summary:
A landing zone is a well-designed cloud environment that provides a solid foundation for deploying workloads and applications in the cloud.
Lift & Shift Compute Engine is a strategy for migrating existing on-premises applications and data to Google Cloud Platform (GCP) without modifying application code. This approach is often used when organizations want to quickly and easily migrate their workloads to the cloud without the disruption and cost of restructuring their applications.
With Lift & Shift, you can use Compute Engine, a GCP service that provides virtual machines (VMs) fully managed by Google. This means you don’t have to worry about provisioning, managing or maintaining your VMs. Compute Engine VMs are also highly scalable, so you can easily add or remove VMs as needed.
These are some of the benefits of using Lift & Shift Compute Engine:
- Reduced cost: Lift & Shift can help you reduce your IT costs by eliminating the need to purchase and maintain on-premise hardware.
- Increased agility: Lift & Shift can help you increase your agility by enabling you to quickly deploy new applications and services in the cloud.
- Better scalability: Lift & Shift can help you improve your scalability by allowing you to scale your applications up or down as needed.
- Enhanced security: Lift & Shift can help you improve your security by leveraging GCP security features such as firewalls, intrusion detection systems and data encryption.
If you are considering migrating your workloads to the cloud, Lift & Shift Compute Engine is a good option to consider. It’s a simple, cost-effective and scalable way to migrate your applications and data to GCP.
Here are some additional tips for using Lift & Shift Compute Engine:
- Choose the right Compute Engine VM instance type: There are a variety of Compute Engine VM instance types available, so you can choose the instance type that best suits your application needs.
- Use managed instance groups: Managed instance groups can help you automate the management of your VMs, such as creating, updating and deleting instances.
- Use load balancing: Load balancing can help you distribute traffic among multiple VMs to ensure that your applications are highly available.
- Use monitoring: Monitoring can help you track the performance and health of your VMs.
By following these tips, you can ensure that your Lift & Shift migration is successful.
Lift & Shift VMware Engine is a strategy for migrating existing on-premises applications and data to Google Cloud Platform (GCP) without modifying application code. This approach uses VMware Engine, a GCP service that provides a VMware vSphere infrastructure in the cloud.
With Lift & Shift VMware Engine, organizations can migrate their existing applications and data to GCP without having to restructure their applications or rewrite their code. This can save organizations time and money, and can help reduce the risk of a failed migration.
The benefits of Lift & Shift VMware Engine include:
- Speed: Lift & Shift VMware Engine can help organizations migrate their applications and data to the cloud in a matter of weeks or even days.
- Cost: Lift & Shift VMware Engine can help organizations reduce their IT costs by eliminating the need to purchase and maintain on-premises hardware.
- Security: Lift & Shift VMware Engine can help organizations improve their security by leveraging GCP security features.
If you are considering migrating your workloads to the cloud, Lift & Shift VMware Engine is a good option to consider. It’s a simple and cost-effective way to migrate your applications and data to GCP.
A disaster recovery plan (DRP) is a document that describes how an organization can recover from a disaster. A disaster can be any event that disrupts an organization’s operations, such as a cyber attack, natural disaster or hardware failure.
A PRA should include the following elements:
- A risk assessment: This assessment should identify potential disasters that could affect the organization and evaluate the potential impact of each.
- A response plan: This plan should describe the steps the organization will take to respond to a disaster.
- A recovery plan: This plan should describe the steps the organization will take to restore its operations after a disaster.
A well-designed DRP can help an organization recover quickly from a disaster and minimize the impact on its operations.
Virtual Apps and Desktops with Citrix is a cloud-based solution that enables organizations to deliver virtualized applications and desktops to their users. This means that users can access their applications and desktops from any device, anywhere in the world. CVAD is a secure and scalable solution that can help organizations improve their agility, reduce their IT costs and enhance the user experience.
Here are some of the benefits of using Citrix Virtual Apps and Desktops:
- Improved agility: CVAD can help organizations improve their agility by making it easier for them to deploy new applications and desktops to their users.
- Reducing IT costs: CVAD can help organizations reduce their IT costs by centralizing the management of their applications and desktops.
- Improved user experience: CVAD can help organizations improve the user experience by providing users with a consistent and secure way to access their applications and desktops from any device.
These are some of the key features of Citrix Virtual Apps and Desktops:
- Application virtualization: CVAD can virtualize applications, meaning they can be run on a central server and delivered to users’ devices on demand.
- Desktop virtualization: CVAD can virtualize desktops, which means that users can access their entire desktop environment from any device.
- Cloud-based delivery: CVAD can be delivered from the cloud, which means that organizations do not have to invest in hardware or software to implement the solution.
Citrix Virtual Apps and Desktops is a powerful solution that can help organizations improve IT agility, reduce costs and enhance the user experience. It is a good choice for organizations of all sizes, from small businesses to large enterprises.
Privacy
& Security
A data lakehouse is a modern data architecture that combines the benefits of both data lakes and data warehouses. Data lakes are centralized data repositories that store data of any type, structure and size. Data warehouses, on the other hand, are structured data repositories that are used for data analysis.
A data lakehouse offers the following advantages:
- Flexibility: Data lakehouses can store data of any type, structure and size. This allows organizations to store all their data in one place, which facilitates analysis.
- Scalability: Data lakehouses are scalable, which means they can grow to meet the needs of organizations.
- Cost: Data lakehouses can be more cost-effective than traditional data warehouses because they do not require the purchase of specialized hardware or software.
Data lakehouses are a good option for organizations that need to store and analyze large amounts of data of different types. They are a flexible, scalable and cost-effective solution that can help organizations get more value from their data.
Short translation:
A data lakehouse is a modern data architecture that combines the benefits of data lakes and data warehouses. It is a flexible, scalable and cost-effective solution that can help organizations get more value from their data.
A data warehouse is a centralized data repository used for data analysis. Data warehouses store data from different sources, such as operating systems, applications and databases. This data is integrated and transformed to support data analysis.
Data warehouses offer the following advantages:
- Efficiency: Data warehouses enable organizations to store and analyze large amounts of data efficiently.
- Scalability: Data warehouses are scalable, which means they can grow to meet the needs of organizations.
- Business intelligence: Data warehouses can be used to perform data analysis that can help organizations make better decisions.
Data warehouses are a good option for organizations that need to store and analyze large amounts of data to make informed decisions. They are an efficient, scalable and intelligent solution that can help organizations get more value from their data.
Short translation:
A data warehouse is a centralized data repository used for data analysis. It is an efficient, scalable and intelligent solution that can help organizations get more value from their data.
Lockers are secure storage spaces used to store personal items. In the context of security and privacy, lockers can be used to protect the following types of objects:
- Confidential documents: Lockers can be used to store confidential documents, such as contracts, financial records or business plans.
- Electronic equipment: Lockers can be used to store electronic equipment such as laptops, smartphones or tablets.
- Valuables: Lockers can be used to store valuables such as jewelry, money or credit cards.
Lockers can help protect these items from the following hazards:
- Theft: Lockers can help deter thieves from stealing personal items.
- Loss: Lockers can help prevent personal items from getting lost.
- Damage: Lockers can help protect personal items from damage.
Lockers can be an important part of a security and privacy strategy. They can help protect personal items from the risks mentioned above, which can help protect people’s confidential information and property.
Artificial intelligence (AI) is a field of computer science that deals with the creation of intelligent machines capable of performing tasks that normally require human intelligence. Machine learning (ML) is a branch of AI that focuses on developing algorithms that can learn from data without being explicitly programmed.
In 250 characters, AI and ML can be defined as the ability of machines to learn and make decisions on their own. AI is a broader field than ML, and ML is a tool used to achieve AI.
Some applications of AI and ML include:
- Speech and image recognition: AI is used to recognize human speech and images.
- Robotics: AI is used to control robots.
- Data analysis: ML is used to analyze large amounts of data.
- Self-driving: ML is used to develop self-driving cars.
AI and ML are active areas of research and development. These technologies are expected to have a significant impact on our lives in the coming years.
BigQuery is a Google Cloud Platform cloud data warehouse that allows you to store and analyze large amounts of data quickly and easily. BigQuery is a scalable, secure and cost-effective solution that can help organizations of all sizes get more value from their data.
In 250 characters, BigQuery can be defined as a tool that allows organizations to store and analyze large amounts of data quickly and easily.
Some of the key features of BigQuery include:
- Scalability: BigQuery can scale to fit the needs of organizations, even those with large amounts of data.
- Security: BigQuery uses the latest security technologies to protect organizations’ data.
- Cost-effective: BigQuery is a cost-effective solution that can help organizations save money on data storage and analysis.
BigQuery is a powerful tool that can help organizations get more value from their data. It is a good choice for organizations that need to store and analyze large amounts of data quickly, securely and cost-effectively.
Choose the best strategic partner on the road to digital transformation
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Anthos
Build, deploy and manage applications anywhere in a secure and consistent manner. With Anthos it is possible to modernize existing applications running on virtual machines while deploying cloud-native applications in containers within an environment that increasingly employs hybrid cloud and multi-cloud technology.
apigee
Use Apigee, the API management platform, to design, secure, analyze and scale APIs from anywhere, with the right visibility and control.
Google
Data Lakehouse
The data lakehouse is a hybrid architecture that combines the advantages of data lakes and data warehouses.
Looker
Looker is a business intelligence (BI) and data analytics platform that helps organizations explore, share and visualize their data.
Privacy & Security
Privacy & Security is designed to help companies of all sizes protect their data and comply with privacy regulations. The service is flexible and scalable, allowing companies to tailor it to their specific needs.
