The power of premium servers
We use best-in-class Intel Xeon Gold and Platinum series processors and ultra-fast All-Flash drives. Guaranteed data access – at any millisecond.
A customized high-level secure physical infrastructure built on a Tier III data center foundation. Our 40 GB of network bandwidth ensures high availability and connection stability. Scalability and customization are ready for any task.
We use best-in-class Intel Xeon Gold and Platinum series processors and ultra-fast All-Flash drives. Guaranteed data access – at any millisecond.
Our data centers in Frankfurt provide comprehensive protection, reliability, and availability of critical and sensitive data. You can focus on your business with peace of mind, knowing your data is in safe hands.
Individualized computing resources and infrastructure with isolation from other clients. Other people's mistakes won't be your problem. Customize your own rules for accepting and sending traffic or cut off unwanted traffic, enhancing security.
Total control at your fingertips: virtualize servers, manage databases, backups and other tools. Use the API and CLI or Terraform to quickly create and control your instances.
Ready-made physical infrastructure in professional data centers reduces maintenance and support costs. Scale quickly to the number of servers you need. Reduced risk of downtime.
2 hosts
Intel Xeon E5-1650 v4, core
3.6 Hz, rate
6/12, cores/thread
16 Gb, RAM
2000 Gb, storage
4x10 Gbit/s, network
2 hosts
Intel Xeon W-2255, core
3.1 Hz, rate
10/20, cores/thread
64 Gb, RAM
2000 Gb, storage
4x10 Gbit/s, network
2 hosts
Intel Xeon W-2255, core
3.1 Hz, rate
10/20, cores/thread
128 Gb, RAM
2000 Gb, storage
4x10 Gbit/s, network
2 hosts
2 x Intel Xeon 4114 Silver, core
2.2 Hz, rate
10/20, cores/thread
256 Gb, RAM
4000 Gb, storage
4x10 Gbit/s, network
2 hosts
2 x Intel Xeon 4114 Silver, core
2.2 Hz, rate
10/20, cores/thread
512 Gb, RAM
4000 Gb, storage
4x10 Gbit/s, network
We will prepare an individual project for your business. Leave a request and we will contact you as soon as possible
By renting a private cloud from Peerobyte, you relieve yourself of the pressure of managing physical hardware. We are responsible for the servers, networks, administration and monitoring of the virtualization infrastructure.
The real-time distributed resource scheduler balances the load between cluster nodes. Your applications in the cloud will work efficiently under any load. With no exceptions.
WMware HA ensures the continuity of virtual machines in the Servermall Cloud even if ESXi host errors, hardware failures or network problems occur. Maintenance mode is activated automatically, and virtual machines migrate to other nodes in the cluster - imperceptibly to users.
Create a robust and secure architecture independent of other clients. Customize and scale your resources for specific tasks. Our high 40 GB bandwidth ensures high reliability and network stability at all times.
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When you use YAML, adopting best practices such as using clear annotations is essential for understanding YAML comments and ensuring maintainability. Treat your YAML like code: stick to consistent indentation (no tabs), leverage anchors & aliases to DRY up repetitive blocks, and validate configurations against optional schemas. Sprinkle inline comments to shed light on complex settings, keep your files lint‑friendly, and make onboarding new teammates a breeze.
YAML is often used where precision is paramount because YAML is a human-readable language that makes documentation easier and is at the heart of deterministic parsing. You might choose to use a YAML file to define configuration settings, infrastructure as code, or workflows in a clear and structured way—tapping into anchors and aliases for DRY patterns and optional schema validation for pre‐flight checks.
YAML is sensitive to whitespace, and indentation determines structure - it does not accept tabs for indentation, so stick to whitespace to avoid cryptic parsing errors. YAML only supports spaces. Empty lines are ignored by the YAML parser, but they act as natural breathers, improving scanability. Pro tip: pick a consistent indent width (2 spaces is the de facto standard), never mix tabs and spaces, and trim any trailing whitespace. Also, remember to put a space after each colon (key: value) and use the dash-plus-space pattern (- item) for lists. Following these formatting rules keeps your configs lint‑friendly, readable, and free of subtle flow‑control gotchas.
If you want to comment on a complex configuration, ensure that every line in your documentation is clear and purposeful. Well-placed comment lines can simplify even the most intricate setups. It is advisable to add comments in a YAML when updating settings. You can always add a comment at the end of a line to clarify parameters, and inline comments in YAML offer brief explanations.
YAML does not support inline block comments — it only supports single-line comments. If you want comments for multiple lines, you must prefix each line individually with #, chaining single-line comments across consecutive lines. Pro tip: leverage your editor’s bulk‑toggle comment (e.g. Ctrl / in VS Code or Cmd / in JetBrains) to batch‑insert # in one shot. Although YAML lacks built-in yaml block comments, you can mimic a support block by wrapping your notes in a block scalar (| or >) to preserve formatting and treat it like an embedded doc. These little hacks keep your configs self‑documenting, lint‑friendly, and review‑ready.
Take the time to learn how to comment effectively in YAML, as it is an essential step toward mastering the basics of YAML and crafting self‑documenting, lint‑friendly configs. Always write comments in YAML — even a single line can boost clarity and serve as inline docs. Use comments in YAML wisely since comments should be used to enhance maintainability and act as contextual breadcrumbs that make your config review‑ready. Ensure you create YAML files with clear comments for easier long‑term support and smooth team onboarding.
YAML supports only single line comments (prefixed with #), but you can chain related lines into logical blocks or leverage your IDE’s bulk‑toggle shortcut to comment out chunks in one go. There are various types of comments available, and YAML is a cornerstone for configuration files and data exchange. In fact, there are many ways to add annotations; ensure that each line of the comment is clear and each section of code is appropriately documented. YAML format is often used for configuration files because of these practices: its whitespace‑sensitive, human‑friendly syntax reads like prose, built‑in anchors and aliases help you DRY‑up repetitive patterns, and its lint‑friendly, self‑documenting nature makes config diffs and reviews a breeze.
If you need to address multiple lines in YAML, remember that YAML only allows single line comments, meaning each must be added individually. To comment out multiple lines, you’ll need to prefix each line with # manually, as there is no native block comment syntax. For a smoother dev workflow, leverage your IDE’s bulk‑toggle comment shortcut (e.g. Ctrl / in VS Code or Cmd / in JetBrains) to batch‑insert # and keep your config lint‑friendly and review‑ready..
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Comments shouldn’t become an avalanche — adding too many comments can obscure your config rather than clarify it — but strategically placed notes boost readability and maintainability. Think of the first comment # line as your file’s headline or mini‐README, laying the groundwork so downstream comments can riff off that context and keep your YAML review‐ready and self‐documenting.
Remember that you should always include comments to your YAML files to clarify the purpose of each configuration item. When you work with extensive customizations, dealing with complex YAML data becomes easier, because YAML is a popular data manipulation tool among developers. Although YAML lacks a native syntax for block comments, understanding similar conventions in other languages can improve the overall use of comments in your projects. For instance, when editing with Visual Studio Code, you can quickly insert consecutive single-line comments to document configuration details without cluttering the file.
YAML supports various data types — including strings, numbers, lists, and dictionaries — which makes it versatile enough to handle complex scenarios. Furthermore, effective commenting in YAML files is essential; it ensures that every section of code is well documented. In fact, YAML is widely recognized as the format used for config files in many modern systems. It is also essential for config files and sharing data in distributed architectures.
One of the key strengths of YAML is its simplicity of syntax — a lightweight, whitespace‑sensitive DSL that’s essentially boilerplate‑free. YAML uses indentation to denote nested structures, providing an intuitive representation of YAML data and creating a breadcrumb trail through your files. This approach improves overall readability and maintainability and allows for consecutive single-line comments to create clear annotations throughout the file. Developers are encouraged to write clear comment lines that explain the purpose behind configuration decisions, turning each YAML file into a self‑documenting, lint‑friendly asset in your toolchain.
YAML (YAML Ain't Markup Language) is a friendly for human data serialization format (DSL) that has become the basis for modern configuration-as-code. . Its whitespace‑sensitive, indentation‑driven syntax makes complex nested structures feel as natural as reading prose, while built‑in anchors and aliases let you DRY‑up repetitive blocks for true reuse. In practice, yaml files used across infrastructure as code, CI/CD pipelines and application settings deliver predictable, version‑controlled configs that teams can review and iterate on with confidence. And because you can layer in optional schema validation or JSON Schema hooks, it’s easy to catch typos and type mismatches before they ever hit production.
A private cloud is a cloud infrastructure where resources are available only to a specific organization. Such a cloud is deployed on your own or leased infrastructure.
A private cloud architecture is the consolidation of computing resources in data centers into a single pool under the control of a specialized software suite. By virtualizing the hardware infrastructure (software-defined networks, virtual machines), the efficiency and reliability of the infrastructure is increased.
A private cloud can use the global network for its own needs and can have several data centers in different regions merged into a single system.
A managed private cloud is a cloud environment in which one company uses and owns the resources, while the management and maintenance of the infrastructure is outsourced to a third party. For example, your organization's IT infrastructure may be purchased and maintained by a third party in its data center.
A managed private cloud allows you to shift many of the cloud management responsibilities to a colocation partner who has greater expertise and efficiency in maintaining the IT infrastructure. The private cloud service partner can also provide additional services, such as backup and business continuity solutions.
The benefits of using a private cloud are:
A private cloud's level of security is higher because the company that owns a private cloud can independently enforce the security policies it needs and organize its infrastructure to minimize or block traffic that leaves its infrastructure.
Proprietary hardware ensures that loads caused by third-party activities are not weighed down and are hard to predict.
Using a private cloud in the long run and with sufficient volume can be more profitable than using a public cloud due to the elimination of the profits that the public cloud provider puts in.
Projected costs
The cost of a public cloud can be unpredictable as it is shaped by the cloud provider and the market, while the cost of a private cloud is more predictable in the long run.
You can build your own cloud infrastructure to meet any requirements and make the necessary infrastructure changes without concern for other users. The geographic location of your own infrastructure is not limited, where public infrastructure may simply not be available in the region.
Private clouds are limited to specific physical machines, the security of which is easier to enforce than the security of a public cloud provider. Private clouds are usually protected by a firewall and are accessible over private secure network connections, not the public Internet. Control over a private cloud can be enforced according to your own security protocols, while in a public cloud you will have to agree to the provider's security protocols, which may not fully enforce security.
A private cloud is used when:
If a particular configuration of cloud infrastructure is required for a service and it is not possible to obtain it at a reasonable cost, then it is left to implement it yourself in a private cloud.
Security or regulatory issues may require the use of a private cloud, e.g. in the case of storing and processing personal and sensitive data.
Network latency can occur when the user is located at a distance from the provider's data center. By using a local private cloud, low network latency can be ensured wherever you are.
A private cloud is more profitable than hosting in a public cloud if the computing power is guaranteed to be loaded with a large volume of tasks for a long period of time.
A private cloud may have the following risks:
A private cloud requires managing a lot of data, analytics and keeping track of user activity. To ensure data security, you need to develop and apply comprehensive data protection measures, properly assign levels of access to information, train staff, and ensure reliable user identification and authorization. With insufficient attention to security issues, a private cloud loses any advantage over a public one.
Deploying a private cloud is expensive and may not pay off if the system is underutilized. Running a private cloud requires you to incur costs for purchasing hardware and software, hiring technicians and training them to manage the system, etc.
A private cloud may be of little use to teams that want to expand and change their infrastructure quickly. If the load increases, the private cloud infrastructure needs to be upgraded by installing new hardware, which will take a lot of time. And if there is no load, you will also incur staff and infrastructure costs.
Having a private cloud means that the company is responsible for the entire cloud management process, including: backups, troubleshooting, backups, error checking. This means that the company must have sufficient competence and resources to ensure uninterrupted operation, otherwise the system may cease to function.
Geo-distributed architecture for fast scalability. Pay only for the resources you actually use. Pay-As-You-Go.
Get startedCombine private and public clouds and all their advantages for a unified corporate IT environment: security, scalability and customization that suit your tasks.
Get started100% belongs to you. A true single-user environment and no physical hardware maintenance costs. Accurate prices with bonus payment from a month to three years.
Get startedNetwork storage supports a wide range of protocols, including FTP/SFTP, NFS, CIFS/Samba, iSCSI, SFTP, SSH (SCP), WebDAV, RSYNC.
Get startedIf you work in IT, the term “cloud” isn’t just a buzzword — it’s a powerful tool for storing and processing data.
PaaS (Platform as a Service) was initially designed as a solution for developers to build applications without dealing with server setup and infrastructure management.
TCP/IP is the backbone of everything. This protocol stack is like the circulatory system of the Internet and cloud computing.