DATA OPERATIONS
‘We build and operate online platforms on all internet technologies – whether they fall into the category of standard and or more unusual. We work with dedicated servers, AWS, Azure, and Google Cloud.
We provide advice, manage the solution, and provide 24/7 service; we also manage firewalls and load balancers and take care of monitoring and backup and patch management for all applications.’
Helmut Schmid
Teamlead in Operations
Managed Data Service
With our managed data services, we enable companies to exploit all the benefits of cloud computing without having to become experts themselves. All clouds – even public clouds – require management. Managed cloud service providers like The unbelievable Machine Company enable their customers to focus on their core business. They no longer need to use their IT resources to complete infrastructure-related tasks such as updating memory, networks, and operating systems. As a full-service provider, we possess all of the necessary technical and commercial expertise to manage our customers’ data services. With us, you can get everything from a single source: From the idea to the cable.
We take care of the entire data life cycle; our managed cloud services include:
- One-off projects, permanent on-site support, or full outsourcing
- Design and development of data center and cloud projects
- Execution of TCO and ROI analyses
- Analysis of existing environments for availability, performance, and security
- System monitoring, alerting, and reporting
- Proactive communication and 24*7 support as a single point of contact
Data Thinking: A guide to success in the digital age
Hybrid data platform
Hybrid data platforms are a combined private and public cloud solution, creating a mixed cloud that brings together the strengths of both concepts. In some cases, it may be necessary to store or process data away from a public cloud – perhaps for data protection or compliance reasons. In machine learning projects, too, hybrid cloud environments may offer the best solution. The GPU instances required for machine learning calculations are relatively expensive in the public cloud. It often works out more cost-effective to perform the calculations on-premises and then process the results in the public cloud.
Hybrid clouds can be useful when you need to meet requirements that would be beyond the capabilities of your own on-premises architecture. Thanks to the public cloud component, hybrid environments can be adjusted and scaled up and down easily at short notice. The cloud experts from The unbelievable Machine Company can not only create or expand a hybrid cloud architecture tailored precisely to your needs, but also take care of the long-term operation and continuous optimization and development of online platforms in any cloud environment.
Data Security Concepts
The introduction of the EU’s General Data Protection Regulation (GDPR) has increased awareness of the right that every data subject has to determine what happens to their data. But the new regulations have left many companies feeling unsure. The legal requirement to ‘adequately anonymize’ data is a source of uncertainty in AI and big data projects in particular. We provide guidance to businesses to ensure that data is utilized in full compliance with the GDPR and other governance requirements. The benefit? Handling data in an open and transparent way promotes customer loyalty and trust.
We are certified by the TÜV in accordance with ISO/IEC 27001:2013 for data center services, including the provision and ongoing operation of such services. We are also certified by usd AG in accordance with the Payment Card Industry Data Security Standard (PCI-DSS), version 3.2. Data security is a core element of every single solution we design, regardless of whether the data comes from edge, cloud, or on-premises sources.
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