The cloud – the golden cage

The challenges of the cloud: risks and limits

Cloud providers such as AWS or Azure undoubtedly offer powerful services. But there are hurdles lurking that many companies underestimate – sometimes with serious consequences.

Availability in the cloud – promise vs. reality

Availability is one of the biggest promises of the cloud, and at the same time one of the biggest challenges. According to SLAs, it is often 99.9% for individual virtual machines, and as low as 99.5% for standard configurations. That sounds good, but it also means almost 1.5 minutes of downtime per day – 9 hours per year. In reality, these outages are often not spread over several days, but tend to occur all at once.

It becomes particularly critical when important resources such as specific machine types are simply not available in certain regions over a longer period of time.

The situation is even more serious when companies require horizontal scaling: This only works if new machines can be provided in the immediate vicinity of existing instances. If such machines are not available, the only options are often inefficient workarounds or a complete re-planning of the project.

The cloud’s often vaunted promise of being able to access the required resources at any time therefore proves to be deceptive. For time-critical projects, it can sometimes be more efficient to operate servers locally.

High prices: The cost trap of the cloud

The cloud has its price – and this often only becomes apparent when companies suddenly have to scale up. The pricing models of many providers are not transparent. If prices rise, companies lack alternatives. They are tied to the provider’s conditions and cannot easily switch to other solutions.

A widespread misconception justifies the high costs for many companies: the assumption that cloud services are particularly easy to operate. But the reality is different: In most cases, updates, high-availability concepts and backups have to be managed independently.

Many companies also rely on managed services such as Kubernetes platforms (e.g. AKS from Microsoft Azure) to avoid the complexity of their own systems. In practice, however, the services used with AKS often prove to be expensive and inflexible. Critical workloads can often only be scaled to a limited extent, which places considerable restrictions on a company’s agility and efficiency, especially during growth phases.

Why cloud security often harbors a risk

Another major issue is security. Many companies rely on cloud services because they are considered secure. However, even if they are not always publicized, security incidents are not uncommon. Well-known providers such as Microsoft and others have already had to contend with compromised keys and attacks on their data centers in the past.

Particularly critical: sensitive data and backups are often stored in the same place. This turns supposedly secure solutions into potential single points of failure. In the event of an attack, hackers can do two things at once: They can steal data and delete backups – a risk that many companies overlook.

In addition, the use of cloud services often leads to a dependency on inflexible standards and therefore a loss of control. Providers dictate when updates are installed, how data is encrypted and which scaling options are available. This dependency restricts strategic freedom of action and cost control.

The result? A “golden cage”: shiny on the outside, but rusty on the inside. What appears to be a simple and attractive solution reveals considerable dependencies and hurdles on closer inspection. Switching providers or returning to local solutions becomes unnecessarily complicated and costly.

The solution: self-sufficiency through hybrid approaches

Instead of relying entirely on one cloud provider, companies should rely on a hybrid infrastructure – supported by technologies such as Kubernetes.

Kubernetes, an open source platform, makes it possible to operate applications independently of a specific provider.

Thanks to abstraction, companies can switch between different cloud providers, use local resources and operate critical databases autonomously.

• Independence from providers: applications and critical workloads remain stable, even if a cloud provider experiences bottlenecks or outages. With Kubernetes, it is no problem to orchestrate workloads dynamically and switch to alternative resources.
• Consistency for development and operation:Kubernetes creates a consistent environment for development, testing and productive operation – regardless of where they are operated. This allows companies to free themselves from the requirements of individual providers and implement changes flexibly without being tied to specific development environments.

A practical example illustrates the advantages: A company encounters technical limitations when using the largest available cloud database instance, which cannot be solved by the provider. By introducing a Kubernetes platform, the database can be operated locally, scaled flexibly and managed independently of the limitations of the original cloud provider.

High availability: Automated stability for smooth processes

Reliable operation is the backbone of any IT infrastructure – and this is where high availability plays a crucial role. With Kubernetes, companies can ensure that critical workloads remain stable even in the event of bottlenecks or disruptions. Automation and well thought-out planning make it possible.

• Automated stability: Thanks to automated processes, important systems such as databases remain available even in the event of failures. Less critical services, such as newsletter tools, can be temporarily paused in such cases to conserve resources.
• Prepared for an emergency: Even difficult scenarios can be mastered with clearly defined processes and strategies. Questions such as “Which services have priority?” or “Which backups and fallback solutions are available?” should be clarified in advance in order to be able to react flexibly and quickly in an emergency.

Security through data sovereignty: reduce risks, retain control

Hybrid infrastructures that rely on open source technologies such as Kubernetes give companies back control. They make it possible to manage sensitive data securely and react flexibly to new security requirements.

• Decentralized security: Sensitive data no longer has to be stored in just one place. By distributing it securely locally and in the cloud, the risk of a single attack jeopardizing everything is reduced.
• Individual safety measures: Every company has its own security requirements. With Kubernetes, things like encryption and updates can be set up exactly how it suits you best. This keeps control of critical data in the right hands.
• Granular control of workloads: Kubernetes makes it possible to define exactly where data is processed and stored. This transparency not only helps to ward off attacks, but also increases the reliability of sensitive workloads.

Conclusion: The cloud is not a panacea – hybrid approaches are the future

The cloud offers many possibilities, but it is not the solution for everything. Companies that rely exclusively on a single cloud provider risk dependencies, rising costs and a loss of control over their IT.

Hybrid strategies based on technologies such as Kubernetes are a smart alternative. With this approach, the benefits of the cloud can be utilized without sacrificing flexibility, efficiency or independence. Whether completely in the cloud, locally or as a combination of both approaches – the key lies in striking the right balance, which you can determine yourself.