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Digital Transformation - Secure and Performant in the Cloud

IaaS (Infrastructure-as-a-Service), PaaS (Platform as a Service), SaaS (Software-as-a-Service), serverless Computing

Cloud Computing - Fast, Scalable, Innovative

What Is Cloud Computing

Cloud computing refers to the provisioning of computing resources (e.g. servers, storage, network components, databases, development tools, software, such as analysis software from the fields of IoT, artificial intelligence or big data) via the Internet, i.e. the cloud. Cloud computing offers companies faster innovation, flexible resources and economies of scale. As a rule, payment is only made for cloud services that are actually used. Cloud computing helps companies reduce operating costs, make their infrastructure more efficient and scale on demand.

Benefits of Cloud Computing

Elasticity

One of the main advantages of cloud computing services is the possibility of elastic scaling. With cloud computing, companies can provision exactly the amount of resources that is needed. These resources can be scaled up or scaled down very flexibly if business requirements suddenly change.

Agility

Accelerate innovation with easy access to a variety of technologies. Resources scale to meet needs. This applies to infrastructure services such as data processing, storage and databases as well as to big data analytics, machine learning, Internet of Things (IoT), data lakes, etc.

Performance

Cloud computing services offer a number of advantages over an on-premises data center, such as lower network latencies for applications and greater cost savings. The reason: Cloud services run in a global network of secure data centers that are regularly updated to the latest generation of faster, more efficient computing hardware.

Speed

Since cloud computing services are on-demand and often self-service offerings, even very large amounts of computing resources can be deployed in minutes. This deployment can usually be realized with just a few mouse clicks. The pressure associated with capacity utilization planning is thus a thing of the past, so that companies benefit directly from this flexibility.

Safety

Cloud computing simplifies data backup, disaster recovery, and business continuity by allowing data to be mirrored across multiple redundant locations on the cloud provider’s network. The major cloud providers also provide numerous policies, technologies, and controls to protect customers’ data, apps, and infrastructure from potential threats.

Costs

The cloud eliminates large capital investments for hardware (such as data centers and servers). Instead, companies only pay for the resources they actually use. In addition, the variable costs are also significantly reduced by the mentioned elasticity and faster development compared to the self-supervised provision

How to Start? The areto Cloud Computing Process Model

There are many different varieties in cloud computing. Companies should carefully check which one is suitable for their own regulations and requirements. areto supports you in identifying cloud models, cloud types and cloud services in order to find an ideal solution for the company.

Step 1: How Do You Want to Deploy the Cloud?

As a first step, determine the type of cloud deployment – the cloud computing architecture on which your cloud services are to be implemented. There are three ways to deploy cloud services: public cloud, private cloud, and hybrid cloud. Let’s take a closer look at the alternatives:

Public Cloud

In the public cloud, hardware, software, and other supporting infrastructure components are owned by the cloud provider. They are managed by the latter and shared with the users (so called cloud tenants).  These cloud mandates can access all cloud services via a web browser. areto customers use a public cloud, for example to provide storage as well as development or test environments.

Benefits of a public cloud

Lower cost: Hardware or software do not have to be purchased and maintained. Pay for only the services that are actually used.
No maintenance: The cloud service provider takes care of maintenance and updating.
Virtually unlimited scalability: In the public cloud, on-demand resources are available to meet all business needs.
High reliability: An extensive server network protects the public cloud from failures.

Private Cloud

In a private cloud, services and infrastructure always remain in a private network, and hardware and software are used exclusively by the organization. A private cloud can be physically located in the organization’s on-premises data center or hosted by a third-party cloud service provider. Private cloud is often used by government agencies, financial institutions, and organizations that must follow strict data retention regulations.

Benefits of a private cloud

Flexibility: Companies are able to customize their cloud environment to meet specific business needs.
Resources are not shared, allowing for a greater level of control and privacy.
A private cloud often offers greater scalability compared to on-premises infrastructure.

Hybrid Cloud

With the hybrid cloud, the on-premises infrastructure or private cloud is combined with a public cloud, so that it is possible to move data as well as apps between the two environments.

As a result, companies are able to meet regulatory requirements or data sovereignty requirement and are better able to exploit investments in local technologies or solve problems with low latency.

Benefits of a Hybrid Cloud

A hybrid cloud allows organizations to maintain a private infrastructure for sensitive resources or workloads that require low latency.
Flexibility: If required, it is possible to use additional resources in the public cloud.
Cost reduction: With the ability to scale resources to the public cloud, companies only pay for additional cloud computing power when they need it.
Easy migration: Make the transition to the cloud safe and easy by gradually migrating workloads in phases.

Step 2: What Types of Cloud Services Do You Need:
IaaS, PaaS, Serverless or SaaS?

Most cloud computing services fall into four basic categories: IaaS (Infrastructure-as-a-Service), PaaS (Platform as a Service), SaaS (Software-as-a-Service), and Serverless Computing.

IaaS (Infrastructure-as-a-Service)

IaaS includes the basic building blocks for cloud IT. It typically provides access to networking features, computers (virtual or dedicated hardware), as well as data storage. IaaS gives the maximum flexibility and management control over IT resources. It is very similar to existing IT resources that many IT departments and developers are already familiar with.

Benefits of Infrastructure-as-a-Service

No investment costs & lower running costs. Since IaaS eliminates the investment in setting up and managing a local data center, IaaS is a good alternative for startups and companies that want to test new ideas.
With the right service level agreement (SLA), you can reduce the cost of implementing high availability, business continuity, and disaster recovery features with IaaS. The risk of failure is minimized, giving secure access to applications and data.
IaaS enables faster innovation because a computing infrastructure required for a new project can be made available within minutes.
-With IaaS, it is possible to scale up resources at short notice to respond more quickly to peaks in requirements. Once these are over, simply scale down the resources to reduce costs.
With IaaS, staffing overhead is reduced by eliminating the need for team of IT experts to manage and update software, hardware, or device issues in house.
With IaaS, deploy apps to users faster because a physical infrastructure first does not have to be set up beforehand.

UseCases Infrastructure-as-a-Service

Testing and development. With IaaS, companies can set up development/test environments at short notice. Scale up or down these dev/test environments in a fast, cost-reducing way and introduce new applications faster.
Web Apps. IaaS provides all the necessary infrastructure components to support web apps. Organizations can deploy web apps with IaaS and scale up or down infrastructure as needed.
High Performance Computing. With High Performance Computing (HPC), organizations are able to solve complex tasks. Examples are climate and weather forecasts, the creation of financial models, the evaluation of product developments.
Big data analytics. Nowadays, the analysis of large amounts of data “big data” is almost standard. Whether it is predictive analytics, social media analytics, IoT or e-commerce, an enormously high processing power is required. IaaS can deliver these benefits cost-effectively.

UseCases Platform-as-a-Service

PaaS provides a framework that allows developers to develop and customize cloud-based applications. Developers can use integrated software components with PaaS and cloud features such as scalability, high availability and multi-instance capability reduce the programming effort.
With analytics and business intelligence tools provided as a service at PaaS, companies can analyze and visualize their data in a variety of ways. In this way, forecasts can be optimized and better decisions can be made.
PaaS is often offered via marketplaces of cloud computing providers. Here many other services with which applications can be improved and extended can be found.

PaaS (Platform-as-a-Service)

PaaS (Platform-as-a-Service) is a complete development & deployment environment in the cloud – from simple cloud-based apps to mature cloud-enabled enterprise applications. PaaS includes Iaa’s infrastructure components, but also offers middleware, development tools, business intelligence services, database management services and much more. With PaaS, web applications are quickly built, tested, deployed, and managed.

Benefits of Platform-as-a-Service

PaaS development tools reduce the amount of programming required for new apps by leveraging application components built into the platform, such as workflows, directory services, security features, search capabilities, and so on.
Access to additional software solutions without high license costs. Due to the usage-based billing model, companies are able to use development software, business intelligence, analytics and IoT software without paying high license costs.
PaaS provides efficient application lifecycle management. PaaS is used to create, test, deploy, and manage Web applications. All within a single integrated environment.
With PaaS, development teams can collaborate on projects even when team members are in locations around the world.

SaaS (Software-as-a-Service)

SaaS (Software-as-a-Service) is a software solution that is purchased from a cloud service provider based on a pay-as-you-go payment model. Users can connect to and use cloud-based apps over the Internet. All underlying infrastructure, middleware, app software, and all app data are managed by the vendor. This also ensures the availability and security of the app and the data.

Benefits of Software-as-a-Service

Access to mature, market-leading applications. With SaaS, companies use market-leading software solutions for basic applications such as ERP, CRM, BI solutions without having to worry about the resources required to acquire, deploy and manage the required infrastructure/software.
Costs are only incurred for resources that are actually used. SaaS services are billed based on usage. These are automatically scaled up or down centrally.
Always the right software. Users can access most SaaS apps directly from their web browser without having to download and install software, which means faster insights, more informed decisions, and greater innovation.
Don’t worry about deploying apps on different devices anymore, the cloud service provider has already taken care of this task for you. Incidentally, this also applies to the security of the data, regardless of the type of device on which the data is used.
Work wherever and how you want. Because all data is stored in the cloud, users can access their information from any computer connected to the Internet or from a mobile device. If app data is stored in the cloud, data loss can be avoided if a user’s device fails.

UseCases Software-as-a-Service

Data warehousing. Run SQL and analytics queries on structured and unstructured data sets in your cloud data warehouse and data lake without having to move a lot of data unnecessarily.
Processing of big data. High-performance processing of huge amounts of data in your data lake for data engineering, data science or data analytics.
Real-time analytics. Collect, process, and analyze streaming data and load streams directly into data lakes, data stores, and analytics services and be able to respond in real time.

Operational analyses. Analyze, filter, integrate, and visualize data in near real-time for application monitoring, log analysis, and clickstream analytics.

UseCases serverloses Computing

Accelerate app development with serverless capabilities. To do this, use event-driven models that automatically execute code. In this way, additional services can be seamlessly integrated.
Developers can use their own containers for fully managed Kubernetes clusters. These are automatically scaled up and down as needed.
Reduce the code for orchestrating combined tasks through serverless workflows. Integrate disparate services without having to program interactions or manage glue code.
With a serverless application environment, the back-end and front-end are hosted on fully managed services that validate scaling, security, and compliance requirements.
Serverless API gateways are centralized and fully managed entry points for back-end serverless services.

Serverless Computing

Serverless computing focuses on building app capabilities. Developers save the time to manage the servers and infrastructure required for this. Setup, capacity planning, and server management are handled by the cloud provider. Serverless architectures are highly scalable and event-driven.

Benefits of Serverless Computing

The effort for infrastructure management is reduced. This allows developers to focus on business logic by leveraging fully managed services.
With serverless computing, infrastructure is dynamically scaled up and down in seconds, adapting to the needs of the workloads.
Time-to-market. Serverless applications allow development teams to work more flexibly and efficiently and achieve more results in less time.
With serverless technologies, organizations can reduce their overall costs and use resources more efficiently to keep pace with digital transformation.

Step 3 : Development of the Individual Cloud Analytics Architecture by Selecting Cloud Computing Services

The ability to gain new insights from the analysis of one’s own data has become an immediate competitive advantage. In the future, it will shape the value creation of companies. However, transforming data into valuable business value is a complex issue that can easily lead to the use of dozens of technologies, tools, environments. areto has a wealth of experience in the conception and implementation of cloud analytics projects. We look forward to helping build your enterprise-wide cloud analytics solution.

Our Partners for Building Your Cloud Solution

AWS (Amazon Web Services)

Amazon Web Services (AWS) is the world’s most comprehensive cloud platform, with more than 200 services delivered in globally distributed data centers. Our customers rely on AWS to become more agile, reduce costs, and innovate faster.

Microsoft Azure

The Azure cloud platform consists of more than 200 products and cloud services and is designed to help you develop new solutions. So you can address current challenges and pave the way for the future. You can develop, run and manage applications – in multiple clouds, on-premises or at the edge. You can use the tools and frameworks of your choice.

Examples of Market-Leading Cloud Analytics Solutions

With our partners Exasol, SAP, IBM and Snowflake, as providers of high-performance analytical databases, areto helps to be ideally positioned for the development of cloud data warehouses (CDW).

Cloud Data Warehouse

Increasing data volumes, new data types, more complex processes as well as increasing requirements of the business areas lead to new challenges for DWHs and analytics. At the same time, cloud solutions are changing the way data is stored, structured and retrieved.

Cloud data warehouses make it possible to react adequately to changing requirements. With cloud data warehousing, organizations can now scale out to meet either compute or storage needs as needed. This can significantly reduce the costs of over-provisioning servers at traditional DWHs.

Another advantage of the Cloud Data Warehouse is its flexibility. In the past, IT teams had to estimate how much storage capacity was needed for their business units. Due to the problem-free scalability of cloud data warehouses, the risk of long-term undeniable miscalculations is almost completely eliminated.

Matillion - Migrate Your Data to the Cloud in a Few Simple Steps.

Matillion Data Loader impresses with a simple, intuitive user interface, simple configuration using a wizard and the SaaS-based platform.  This allows developers to quickly set up data pipelines without having to worry about coding or infrastructure.

Benefits of a Cloud Data Warehouse

Scalability
Scaling data warehouses in the cloud is much easier compared to on-premise warehouses

Costs
Cloud-based warehouses are cheaper to set up because there is no hardware or upfront licensing costs

Time-to-Market
It’s quick and easy to get a cloud data warehouse up and running. Deploying an on-premises data warehouse takes much longer

Performance
Cloud data warehouses are optimized for analysis. High performance for complex queries through massively parallel processing (MPP)

Improve Reporting and Analytics with Cloud Analytics Solutions

Directly or through cloud vendors, you have access to market-leading business intelligence tools such as Tableau, MS PowerBI, Pyramid Analytics, IBM Cognos, ThoughtSpot, and SAP BI. So you are also ideally positioned for the analysis and visualization of the data.

Become a data driven company with the areto cloud experts!

Overtake the competition with faster and better decisions!

Find out where your company currently stands on the way to becoming a data-driven company. We analyze the status quo and show you what potential exists. How do you want to get started?

Free consultation & demo appointments

Do you already have a strategy for your future cloud solution? Are you already taking advantage of modern cloud platforms and automations? We would be happy to show you examples of how our customers are already using areto’s agile and scalable cloud computing solutions.

Workshops / Coachings

In our cloud workshops and coaching sessions, you will receive the necessary know-how for the development of a modern cloud strategy. The areto Cloud Training Center offers a wide range of learning content

Proof of Concepts

Which cloud architecture is right for us? Are the framework conditions suitable for this? What conditions must be created? Proof of Concepts (POCs) answer these and other questions. So you can start your project well prepared.

Cloud Computing Know-How Video Library

Data Vault Automatisierung mit Matillion und areto

Snowflake Cloud DWH - Datenversorgung mit Kafka und dem areto Data Chef

Snowflake Cloud DWH - Don´t be a Snowflake - use Snowflake!

Help for self-help -
areto consultation hours

Schedule a support appointment with one of our Cloud Analytics experts! Quick solution approaches and best-practise to your concrete problems in dealing with Cloud Analytics solution!