Yandex Cloud Integrations

Discover exceptional neural machine translation specifically designed for your organization, developed by Yandex, a leading technology powerhouse in Europe. Broaden your horizons by localizing your platforms, materials, and communications into more than 90 languages. Speed up your market entry and engage new customers, even when managing large quantities of swiftly evolving information. Reduce expenses linked to traditional translation methods. Attain higher accuracy and improve translation quality by utilizing custom glossaries. Take advantage of machine translation to effectively enhance your machine learning workflows across various languages by effortlessly converting data. Our service is supported by a solid, secure, and scalable cloud infrastructure that guarantees superior quality. Our committed support team is always ready to handle any questions related to Yandex Cloud, with premium plan users benefitting from round-the-clock assistance. The service is accessible through an HTTP API, and detailed guidelines for its use are available in the documentation, making it straightforward to begin and optimize its advantages. With Yandex, you can adeptly manage the intricacies of multilingual communication and expand your international footprint, ensuring that your business stays competitive in a globalized market. Trust in Yandex to provide the tools necessary for effective communication across cultures.

Choose the essential configurations and resources tailored for specific code segments in your current project, as implementing modifications in a training environment is quick and allows you to secure results efficiently. Select the ideal setup for computational resources that enables the initiation of model training in just seconds, facilitating automatic generation without the complexities of managing infrastructure. You have the option to choose between serverless or dedicated operating modes, which helps you effectively manage project data by saving it to datasets and connecting seamlessly to databases, object storage, or other repositories through a unified interface. This approach promotes global collaboration with teammates to create a machine learning model, share projects, and allocate budgets across various teams within your organization. You can kickstart your machine learning initiatives within minutes, eliminating the need for developer involvement, and perform experiments that allow the simultaneous deployment of different model versions. This efficient methodology not only drives innovation but also significantly improves collaboration among team members, ensuring that all contributors are aligned and informed at every stage of the project. By streamlining these processes, you enhance the overall productivity of your team, ultimately leading to more successful outcomes.

Access the newest features, security enhancements, and improvements for Elasticsearch through official subscription plans. You can set up a fully operational cluster in just a few minutes. The configurations for both Elasticsearch and Kibana are automatically adjusted to match the size of the cluster you select. While we take care of cluster management, software backups, monitoring, fault tolerance, and updates, you can concentrate on your project. By implementing index sharding, you can reduce the workload on each server and easily expand your cluster to handle increased traffic. Visualizing system performance and behavior makes infrastructure development considerably simpler. An intuitive interface allows you to spot trends, forecast outcomes, and evaluate your system's stability. For creating resilient, geographically distributed Elasticsearch and Kibana clusters, just choose the number of hosts and decide on the availability zones. After determining the necessary computing resources, you can quickly establish an operational Elasticsearch cluster tailored to your requirements. This efficient process not only boosts productivity but also guarantees that your system remains strong and effective, allowing you to focus on innovation and growth.

Discover a powerful solution for overseeing OpenSearch clusters within the Yandex Cloud environment. Utilize this popular open-source technology to effortlessly integrate fast and scalable full-text search functionalities into your applications. You can initiate a pre-configured OpenSearch cluster in just a few minutes, with configurations optimized for peak performance according to your chosen cluster size. We manage every facet of cluster maintenance, including resource management, monitoring, resilience against failures, and regular software updates. Benefit from our visualization tools that enable you to construct analytical dashboards, track application performance, and create alert systems for various metrics. Furthermore, you have the option to incorporate third-party authentication and authorization solutions such as SAML to bolster security measures. The service provides detailed configuration options for data access levels, ensuring users can maintain authority over their own information. By leveraging open-source code, we encourage community collaboration, which allows us to deliver timely updates and lessen the risk of vendor lock-in. OpenSearch is recognized as a highly scalable collection of open-source search and analytics tools, offering a broad spectrum of technologies for effective search and analysis. This platform not only empowers organizations to improve their data capabilities but also positions them to excel in the fiercely competitive realm of information retrieval. Ultimately, embracing this technology can significantly transform how businesses interact with their data, paving the way for innovative solutions and enhanced operational efficiency.

You decide on the cluster size, node specifications, and various services, while Yandex Data Proc takes care of the setup and configuration of Spark and Hadoop clusters, along with other necessary components. The use of Zeppelin notebooks alongside a user interface proxy enhances collaboration through different web applications. You retain full control of your cluster with root access granted to each virtual machine. Additionally, you can install custom software and libraries on active clusters without requiring a restart. Yandex Data Proc utilizes instance groups to dynamically scale the computing resources of compute subclusters based on CPU usage metrics. The platform also supports the creation of managed Hive clusters, which significantly reduces the risk of failures and data loss that may arise from metadata complications. This service simplifies the construction of ETL pipelines and the development of models, in addition to facilitating the management of various iterative tasks. Moreover, the Data Proc operator is seamlessly integrated into Apache Airflow, which enhances the orchestration of data workflows. Thus, users are empowered to utilize their data processing capabilities to the fullest, ensuring minimal overhead and maximum operational efficiency. Furthermore, the entire system is designed to adapt to the evolving needs of users, making it a versatile choice for data management.

Based on the number of requests processed every second (RPS), users can choose between standard and FIFO (first in, first out) queues. There are familiar tools available to interact with Amazon SQS, such as the HTTP API, the CLI, and various libraries for different programming languages. To boost efficiency, Message Queue employs high-speed NVMe solid-state drives for message storage. Moreover, messages are replicated across multiple geographically diverse availability zones, ensuring reliable storage and reduced latency, along with confirmation of writes. The integration of Message Queue with cloud functions enables the triggering of functions that process messages from the queue. Users can also create a queue to track important metrics, including the count of messages and the duration of calls. Consumers can retrieve messages from a standard queue in any order, granting flexibility in processing. While standard queues guarantee that each message is delivered at least once, there are infrequent cases where a message might be processed more than once. For achieving the best throughput, it is recommended to utilize standard queues, making them particularly suitable for scenarios with high demand. Furthermore, the adaptability of these queues facilitates smooth scaling in response to the evolving requirements of your application, ensuring continued efficiency as it grows.

Enables efficient data interchange among various elements within microservice frameworks. When employed as a communication strategy for microservices, it not only simplifies integration processes but also boosts both reliability and scalability. This system facilitates almost instantaneous data reading and writing while allowing users to adjust data throughput and retention periods based on unique requirements. Users have the ability to meticulously tailor resources for processing data streams, which can range from small streams of 100 KB/s to larger ones reaching 100 MB/s. Moreover, Yandex Data Transfer supports the distribution of a single stream to multiple destinations, each with its own retention policies. The architecture guarantees that data is automatically replicated across numerous geographically diverse availability zones, providing both redundancy and easy access. After the setup phase, users can centrally manage data streams via the management console or API, ensuring streamlined oversight. The platform also accommodates ongoing data collection from a wide range of sources, such as browsing histories and application logs, which makes it an adaptable solution for real-time analytics. In summary, Yandex Data Streams excels in its ability to meet diverse data ingestion requirements across a variety of platforms, making it an essential tool for modern data-driven applications. Additionally, its capacity for real-time processing and seamless integration further solidifies its position as a leader in the field of data management solutions.

Docker images are kept in a robust storage solution designed for high resilience. An automatic data replication system is established for all assets, guaranteeing that any modifications—such as editing, creating, or deleting Docker images—are consistently updated across all replicas. The service caters to containers running on both Linux and Windows operating systems, allowing you to deploy them on your personal devices or within a virtual machine on Yandex Compute Cloud. It facilitates swift operations involving Docker images without incurring any charges for external traffic, as the image registries are located in the same data centers as your cloud infrastructure. Docker images are securely transmitted via HTTPS, and you retain control over who can access, pull, push, or delete them. When utilizing a Docker image, all the infrastructure maintenance for your registry is taken care of by us, leaving you responsible only for the storage space occupied by your Docker images. You can easily access the service through the management console, command line interface (CLI), API, or the conventional Docker CLI, ensuring full compatibility with the Docker registry HTTP API V2. Furthermore, this service enhances your experience by integrating seamlessly with various tools and workflows that you may already be employing, making it a versatile choice for your development needs.

Run containers effortlessly without the hassle of establishing Kubernetes virtual machines or clusters, as we handle the installation, maintenance, and management of the software and runtime environment for you. This streamlined approach standardizes the creation of artifacts (images) in your CI/CD pipeline, allowing you to avoid any code modifications. You can choose your preferred programming language and leverage familiar tools to tackle even your most intricate problems. Pre-configured container instances are readily available to respond to any operational demand, eliminating cold starts and ensuring that workloads are processed swiftly. By executing containers directly within your VPC network, you can interact with virtual machines and manage databases while keeping them secured behind a private network. You will only pay for serverless data storage and operations, and thanks to our unique pricing structure, the first 1,000,000 container invocations each month are free of charge. This model enables you to concentrate on development without the burden of managing infrastructure, fostering innovation and efficiency in your projects. With this setup, you can scale effortlessly while ensuring that your applications remain agile and responsive.

A robust solution for managing the GitLab DevOps platform within the Yandex Cloud infrastructure is now offered. Each GitLab instance operates on its own dedicated virtual server, guaranteeing that resources remain exclusive to individual clients. Daily backups are in place, ensuring that your data is secure and safeguarded. Yandex Cloud handles all aspects of management, including customer support, updates, and backup operations. You maintain full control over repository modifications and can customize the required review process according to specific target branches and the components of the merge request. Furthermore, you can meticulously manage the workflow of every task. Centralized user management is achievable through a corporate user database, which supports LDAP and other authentication methods. You have the freedom to choose your desired configuration, designate a unique domain, and commence the creation of your instance. After the instance is set up, you can adjust the runtime environment to your specifications and begin interacting with the repository effectively. This service not only streamlines your development workflows but also ensures high levels of security and management efficiency, making it an ideal choice for teams looking to enhance their DevOps practices. With this comprehensive approach, organizations can focus on development without worrying about infrastructure complexities.

The service skillfully differentiates between automated submissions and genuine human interactions, effectively filtering out bots while ensuring swift response times. To improve its analytical capabilities, it employs machine learning algorithms that leverage meticulously curated datasets shaped by extensive experience in protecting Yandex web resources, which are regularly updated. Rather than depending on pre-existing images, the service independently generates its own visuals, achieving an impressive 85% accuracy in distinguishing humans from bots and complicating the attempts of bots to bypass CAPTCHAs. SmartCaptcha functions within the Yandex Cloud framework, complying with both international standards and Russian regulations regarding information security. By integrating this system, website owners can implement user verification effortlessly, eliminating the need for a traditional “I’m not a robot” checkbox; the invisible CAPTCHA activates solely for users whose actions raise suspicion. Additionally, the service possesses the capability to autonomously generate recognition texts, allowing customization of the complexity level for added security. This forward-thinking methodology guarantees a smooth user experience while robustly safeguarding against automated threats, ultimately enhancing the overall integrity of web interactions.

Run code within a secure, resilient, and auto-scaling framework without the hassle of managing virtual machines. As the need for function executions increases, the service automatically scales by provisioning additional instances to cope with the heightened demand. Each function runs concurrently, and the runtime environment is spread across three availability zones, ensuring that service remains uninterrupted even if one zone encounters problems. You can prepare function instances to efficiently manage incoming requests, which helps eliminate cold starts and enables the quick processing of workloads of any size. By allowing your functions to connect to your Virtual Private Cloud (VPC), communication with private resources like database clusters, virtual machines, and Kubernetes nodes is significantly improved. Moreover, Serverless Functions tracks and logs information about function executions, giving you valuable insights into operational flow and performance metrics, while also allowing you to define logging methods within your function's code. In addition, you have the capability to trigger cloud functions in both synchronous and delayed execution modes, offering enhanced flexibility. This versatile approach ensures processes are streamlined and can adapt seamlessly to fluctuating workloads, thereby optimizing resource utilization. Overall, this framework not only simplifies operations but also enhances reliability and performance across the board.

Employ encryption keys to protect your confidential information, personal data, and sensitive details stored in the cloud. You have the ability to generate and eliminate keys, manage access policies, and perform key rotation via the management console, command-line interface, or application programming interface. Yandex KMS facilitates both symmetric and asymmetric encryption techniques. Through the REST or RPC API, you can encrypt and decrypt smaller data sets, including secrets and local encryption keys, while also enabling data signing using electronic signature protocols. You maintain authority over who can access the encrypted data, with Yandex KMS ensuring the security and longevity of the keys. Moreover, Hardware Security Modules (HSMs) provide an additional layer of security. For the encryption of smaller data sets, the SDKs available in languages like Java or Go can be utilized, while larger data sets can be secured using widely-adopted libraries such as the AWS Encryption SDK and Google Tink. The service works seamlessly alongside Yandex Lockbox, allowing for the encryption of secrets using your own keys. Additionally, encryption keys can be utilized to protect secrets and data within the Managed Service for Kubernetes, offering strong security across multiple platforms. This thorough strategy guarantees that your sensitive information remains shielded from unauthorized access, empowering you to securely manage your data in diverse environments.

Leverage the management console or API to create secrets, making sure they are securely kept in a centralized repository that integrates effortlessly with your cloud services and allows access to external systems via gRPC or REST APIs. To bolster security, utilize encryption for your secrets using keys from the Yandex Key Management Service, ensuring that all stored information remains encrypted. You can choose from a selection of predefined service roles that offer precise access controls, enabling you to define specific permissions for accessing or managing both the secrets and their related metadata. When a secret is created, a KMS key can be selected to securely safeguard sensitive data like login-password combinations. Secrets can include various confidential information types, such as login-password pairs, server certificate keys, or keys for cloud service accounts. The service accommodates multiple versions of each secret, guaranteeing that all data is kept in an encrypted state. Additionally, to enhance availability, secrets are replicated across three distinct availability zones, ensuring excellent data redundancy and reliability in the event of any system failures. This comprehensive approach to secret management not only safeguards sensitive information but also enables efficient operations across diverse applications.

Technologies driven by machine learning for speech recognition have led to the creation of innovative voice assistants, improved efficiency in call center workflows, and better monitoring of service quality, among other uses. Your organization can now leverage the advanced technology behind the award-winning Alice voice assistant. With SpeechKit, you can achieve accurate speech interpretation within moments, allowing for quick and effective communication for your clients' voice assistants. You have the choice between two versions: the comprehensive option, which develops an intelligent voice assistant, and the adaptive version, which grants your brand a unique voice in just a month. This service is designed for clients who demand meticulous control over speech processing and synthesis within their ecosystems. SpeechKit’s machine learning models are primed for deployment in your infrastructure, with flexible options that range from hybrid configurations to fully on-premise setups that are ideal for handling sensitive information. Additionally, the service supports various audio formats, including MP3, LPCM, and OggOpus, providing a high degree of versatility in audio management. This extensive selection empowers businesses to customize their speech technology solutions according to their unique operational requirements, resulting in increased satisfaction and efficiency. Ultimately, integrating such tailored solutions can lead to significant enhancements in customer experience and operational effectiveness.

Boost your business's transparency by integrating all your processes and projects into a single, centralized platform. This unified environment enables various departments to collaborate seamlessly, regardless of their distinct methods. By leveraging triggers, auto-actions, and macros, you can eliminate repetitive tasks, significantly conserving precious time. A single Tracker license includes everything necessary for efficient collaboration and process oversight within your organization, allowing you to simply register and begin your work. Built to manage extensive task loads, Tracker operates effectively even in large-scale enterprises like Yandex. Transitioning to Tracker is straightforward thanks to our migration tool or API, and we can connect you with a partner for personalized migration services tailored to your specific requirements. This system offers a straightforward way to request information, deliberate on details, and approve results. Automatic notifications regarding new comments are dispatched to all participants, ensuring that every decision is logged directly on the page for convenient access and accountability. Such a strategy not only enhances individual productivity but also cultivates a culture of collaboration and transparency that is advantageous for the entire organization, leading to improved overall performance. With this approach, you'll find that communication and teamwork flourish, ultimately driving your business forward.

The service is designed with user convenience in mind, eliminating the need for driver installations, and allows for a complete migration setup through the management console in just a few minutes. Importantly, it enables the source database to continue running, which greatly minimizes downtime for dependent applications. In the event of any complications, the service is capable of automatically restarting processes, and if it is unable to resume from the designated point in time, it will revert to the last successful migration phase. This functionality aids in migrating databases from a range of cloud platforms or local systems to Yandex's cloud-managed database offerings. To kick off the transfer, users simply initiate the data exchange between two defined endpoints. Each endpoint is preconfigured for both the source database, from which data is retrieved, and the target database, where the data is delivered. Moreover, the Yandex Data Transfer service accommodates a variety of transfer types between these endpoints, which enhances its versatility for database migration tasks. This adaptability allows users to select the transfer method that best fits their unique needs, ensuring an efficient migration experience. Ultimately, this service is a comprehensive solution that addresses the complexities of database migration while prioritizing user experience.

The Search API provides three unique search categories: Russian, Turkish, and international, allowing users to conduct searches for specific sites, groups of websites, or even across a complete network. This API not only defines the search type but also impacts the ranking algorithms and the particular database of documents that are accessed during a search query. It is structured to index both textual pages and a variety of documents, with updates happening every few days to maintain a continuously growing index. Users can anticipate response times of under one second, which makes it exceptionally efficient for immediate search requirements. Moreover, there are few limitations on the number of requests permitted on a daily or monthly basis, significantly improving usability. By utilizing the Search API, developers can sidestep the intricacies of developing and overseeing a web crawler and its related hurdles. This allows for the smooth integration of the API into their applications without the necessity for complex server setups. Additionally, the Search API is designed to automatically adapt to fluctuating workloads, ensuring reliable performance no matter the level of demand. This flexibility makes it an ideal solution for developers aiming to provide robust search capabilities in their products.

Yandex Cloud provides users with the ability to create fully functional applications by utilizing a suite of interconnected components. These applications are equipped with essential integrations to Yandex Cloud services, and the process of deployment is both streamlined and automated for convenience. Users can deploy their application's source code directly into their preferred cloud environment, allowing for custom modifications to suit their unique needs. The platform offers pre-designed templates that have been thoroughly vetted by the Yandex Cloud team to assist in the deployment process. Leveraging cloud applications enables users to enhance efficiency, ultimately reducing the time typically required for rolling out various components. A robust selection of tools is at your disposal for deploying code alongside Yandex Cloud services, enhancing the overall user experience. While there are associated costs with these services, users can access the applications without any charges. The service takes care of the automatic management of deployment and configuration for all essential components required for the application’s seamless operation. Resources are assigned to the specific service account linked to the application, and the platform meticulously tracks the resources generated. This organized method guarantees that every facet of application deployment is executed with accuracy and effectiveness. Additionally, this systematic management fosters an environment conducive to rapid innovation and development.

You have the option to either create or import TLS certificates and keep track of their validity through the management console. It's quite straightforward to set up automatic retrieval and renewal of Let’s Encrypt certificates, as long as you can confirm your domain ownership. Furthermore, you can manually upload certificates from other certification authorities to be used within Yandex Cloud. By choosing certificates from the Yandex Certificate Manager, you can activate HTTPS access for your static websites. It is crucial to utilize domains where you have validated rights when working with the API, since a certificate linked to the domain will allow for a secure TLS connection. After you upload or update certificates, the modifications will be applied across all resources at once. When creating a certificate, there are several verification methods to choose from, but for Let’s Encrypt certificates, you only need to verify domain ownership. Importantly, the Certificate Manager does not check domain rights for certificates that are uploaded by users. This efficient process not only boosts security but also guarantees that your web services are consistently available to users. Additionally, maintaining valid certificates is essential for upholding the trustworthiness of your online presence.

Yandex Vision OCR excels at detecting and extracting text from images, including the addition of automatic punctuation to the results it generates. This sophisticated tool can effortlessly recognize and accommodate more than 50 languages. It proficiently extracts standard fields and processes text from a diverse array of templates and documents, such as passports, driver's licenses, vehicle registration certificates, and license plates. The technology is adept at managing both Russian and English languages, allowing it to handle combinations of handwritten and printed text without issue. Furthermore, it intelligently interprets table structures, presenting text in neatly organized row and column formats. Beyond its optical character recognition (OCR) and document identification capabilities, the system also features functionalities for recognizing license plate numbers. Yandex Vision OCR accepts file formats like JPEG, PNG, and PDF, supporting a maximum file size of 20 MB and accommodating documents of up to 300 pages. Impressively, the service can effectively scan images to identify passports from 20 different nations, in addition to various types of driver’s licenses, vehicle registration documents, and license plates, showcasing its adaptability for document processing tasks. Overall, its ability to streamline text recognition processes across a multitude of applications significantly enhances efficiency and accuracy. As technology continues to evolve, the potential uses for Yandex Vision OCR may expand even further, inviting new opportunities for integration in various fields.

An intuitive platform that enables you to effortlessly craft forms customized to meet your business requirements. You have the flexibility to decide whether to open these forms to everyone or restrict access to just your team, while also granting colleagues the ability to view and edit the submitted responses. The platform supports a variety of question types, such as open-ended, yes/no, and multiple-choice, as well as rating scales and a directory of your organization's members, among other functionalities. Moreover, you can designate certain answers as required and adjust the visibility of specific questions based on respondents' previous answers. Sharing your forms is a breeze, thanks to options for embedding them on your website, promoting them via social media, or distributing links through email or messaging services. Additionally, integrating with Yandex Tracker allows each response to automatically generate a task, facilitating the collection and management of tickets and error reports. Responses can be examined directly within the platform and exported in various formats like XLSX, CSV, and JSON, or sent through email, or saved to a Yandex Wiki page for convenient access. Furthermore, you can efficiently collect support tickets using Yandex Forms and transfer them to Yandex Tracker or another system through various integrations, enhancing overall workflow efficiency. This service streamlines the creation of forms while also improving response management and teamwork within your organization, making collaboration more effective than ever. Its user-friendly interface and robust features ensure that teams can focus on what truly matters—their work.

A completely free platform aimed at creating a corporate knowledge hub empowers users to collaboratively generate and modify wiki pages alongside their colleagues. Within this wiki, you can organize project descriptions, guidelines, and other vital information into structured hierarchies of nested pages interconnected via cross-references. The intuitive search functionality allows for swift retrieval of the desired information across the entire knowledge base. Users can format text and add elements like drawings, tables, and links using Markdown, while headings and cuts help to highlight important details effectively. Access can be granted to all employees, while some pages can be restricted for editing or viewing to protect sensitive content. Each alteration made to the pages is meticulously recorded in a changelog, and notifications are dispatched whenever updates occur on the pages you follow. Furthermore, the platform allows for the integration of task lists from Yandex Tracker, ensuring that task names and assignees remain current, and it provides the capability to embed request and survey forms from Yandex Forms. This multifunctional tool not only serves as a repository for extensive project details but also integrates task management smoothly, thereby boosting overall efficiency and teamwork within your organization. With the establishment of a centralized knowledge repository, your team can significantly enhance information sharing, collaboration, and productivity as a whole. As a result, this platform becomes an indispensable asset for any organization aiming to streamline its operations and foster a culture of collaboration.

The Managed Service for PostgreSQL enables users to effortlessly establish and oversee PostgreSQL server clusters within the Yandex Cloud environment. Within just a few minutes, you can have a fully operational cluster at your disposal. The configuration of the database is optimized based on the selected cluster size, allowing for adjustments as necessary. As your cluster's demand grows, you can quickly scale by adding more servers or increasing their capabilities. With an intuitive interface that includes clear visual representations, monitoring the performance and status of your PostgreSQL cluster becomes incredibly simple. Security remains a top priority, as all database connections are protected with TLS encryption, and backups are secured using GPG encryption methods. Furthermore, the service adheres to local regulations, GDPR, and ISO industry standards, assuring that your data is both safe and reliable. This comprehensive solution not only enhances user efficiency but also instills confidence in managing essential database operations, empowering users to focus on their core tasks without worry.

Within just a few moments, you can set up a completely functional cluster and easily arrange for automatic backups and replication. Concentrate on developing your project while we take care of vital database management tasks, such as maintaining software backups, monitoring performance, ensuring fault tolerance, and applying updates. With Managed Service for MySQL®, you are empowered to establish read replicas and create tailored replication setups to meet your needs. Your information is securely stored using encryption methods that adhere to local standards, GDPR, and ISO industry regulations. You can monitor your cluster’s performance and resource utilization via the management console, or you can export metrics through the API, keeping you well-informed about your database's health and efficiency. This high level of management enables you to focus on innovation, free from the worries of routine maintenance, while also allowing for greater scalability and adaptability in your projects.

Concentrate on your project while we take care of the database maintenance, which encompasses tasks like software backups, ongoing monitoring, ensuring resilience against faults, and implementing updates. ClickHouse is particularly adept at handling extensive datasets in real-time, and its columnar storage format greatly minimizes storage space requirements through effective data compression techniques. To uphold confidentiality, all database connections utilize TLS encryption. Moreover, we comply with local laws, GDPR, and ISO standards to safeguard your information. You can easily visualize the data structure within your ClickHouse cluster and run SQL queries straight from the management console. In addition, the service supports data replication across database servers, both within individual and across different availability zones, automatically switching the load to a backup replica if any issues arise, which further bolsters reliability. This thorough strategy guarantees that your data remains both secure and readily available even during unforeseen challenges, underscoring our commitment to maintaining your operational efficiency. Such measures not only enhance data protection but also provide peace of mind as you focus on your core objectives.

Object Storage involves the preservation of objects across various availability zones that are located in different geographical areas. Whenever you create, alter, or remove an object, all corresponding replicas are quickly synchronized to incorporate those alterations. You can handle Object Storage through a variety of tools compatible with Amazon S3, including the API, command-line interface, WinSCP, and both Java and Python SDKs. To get started with Object Storage, visit the Yandex Cloud management console and establish your first bucket. Once the bucket has been created, uploading files is a straightforward process that can be accomplished by simply dragging them onto the bucket interface. Yandex operates this physical infrastructure within its highly secure data centers, which are designed with a strong emphasis on safety and reliability. Additionally, all stored data is encrypted, which means that even those who have access to the physical devices are unable to read the data contained within. This robust security framework not only protects user information but also reassures them about the integrity and confidentiality of their data. Users can thus confidently rely on the system for their storage needs, knowing that their information is safeguarded against unauthorized access.

Cloud-hosted websites and applications gain significant advantages from the superior network connectivity provided by Yandex data centers, which guarantees swift loading times both locally and globally. Users have the option to choose internal IP addresses from specific private ranges, while public IPs can be easily reassigned among different virtual machines. The data flow between your resources, such as virtual machines, storage systems, and databases, is kept distinct from the traffic of other clients using Yandex Cloud, ensuring a more secure environment. By effectively isolating unnecessary traffic and structuring your network layout, you can create customized security group rules that govern both incoming and outgoing traffic with precision. Furthermore, static route tables facilitate the directing of traffic to particular IP address ranges, which can be routed towards pre-configured virtual machines like IPSec or NAT instances, thus improving network efficiency and security. This level of granularity in control and customization fosters a resilient and adaptable cloud infrastructure that caters to a variety of operational requirements, empowering businesses to scale and innovate with confidence. With such advanced features, organizations can maintain optimal performance while ensuring compliance with their unique security protocols.

Activating DDoS Protection is a straightforward process that involves merely ticking a box: by selecting the DDoS protection feature while configuring your VM and reserving public IPs, you enable this essential safeguard. The service works by consistently monitoring traffic to create a baseline profile for each resource, which facilitates the prompt detection of DDoS attacks in near real-time. To make use of this feature, just ensure that you check the DDoS protection option during the setup of your VM or while reserving IP addresses. Yandex DDoS Protection effectively filters all incoming traffic directed towards the protected IPs, even when there isn't an ongoing DDoS attack, and it operates at OSI Layers 3 and 4. This comprehensive defense is applicable to public IP addresses tied to VMs, network balancers, and database hosts, providing a well-rounded shield against various threats. Furthermore, such a proactive security measure not only helps in defending against attacks but also plays a crucial role in ensuring the consistent availability and reliability of your resources. Hence, implementing DDoS Protection can significantly enhance the overall resilience of your online services.

The adaptable cloud infrastructure enables the creation of as many virtual desktops as needed, allowing for on-demand scaling of desktop availability. Yandex Cloud's infrastructure adheres to Russian Federal Law as well as various international and national standards such as ISO, GDPR, PCI DSS, and GOST R 57580. Users can take advantage of these remote desktops, utilizing robust cloud-based environments right from their standard personal computers. Regardless of the size of your organization, establishing cloud desktops is a straightforward process. Yandex Cloud Desktop provides your team with extensive access to cloud computing resources and secure data storage solutions. This flexibility not only improves operational efficiency but also empowers your workforce to work from any location, thereby enhancing overall productivity. Furthermore, the seamless integration of these cloud services ensures that your team can collaborate effectively, regardless of geographical barriers.

API requests are processed swiftly to minimize any delays experienced by users. In times of increased demand, the service automatically adapts, effectively reducing response times. When using the API, you have the choice to incorporate domains from Certificate Manager, which utilizes a domain-associated certificate to create a secure TLS connection. Enhancing your specifications is simple with a single click in the management console, making it easier to integrate your applications with Yandex Cloud services seamlessly. Moreover, the API Gateway features canary releases, allowing for gradual implementation of updates to the OpenAPI specifications, thereby enabling a controlled rollout to a limited number of requests. To protect against DDoS attacks and optimize the use of cloud resources, it is wise to impose limits on the number of requests directed to the API gateway within a given timeframe. This proactive strategy not only ensures stability but also bolsters both security and performance, creating a more resilient system for users. Ultimately, maintaining these measures contributes to an enhanced user experience and trust in the service.

Load Balancers function by utilizing technologies linked to Layer 4 of the OSI model, which allows them to process network packets efficiently and with low latency. They set specific rules for TCP or HTTP checks and constantly monitor the status of cloud resources, ensuring that any resources that do not meet these criteria are excluded from use. Costs are determined by the number of load balancers in operation and the volume of incoming traffic, while outgoing traffic is charged in a manner similar to other services offered by Yandex Cloud. The load distribution is regulated based on the client's address and port, resource availability, and the network protocol in use. When modifications occur in the instance group parameters or its members, the load balancer can automatically adjust to maintain smooth performance. Moreover, during unexpected changes in incoming traffic, there is no need to reconfigure the load balancers, leading to a more streamlined and efficient experience. This capability for dynamic adjustment not only boosts the overall reliability of cloud infrastructure but also significantly enhances its performance, making it a valuable asset for any organization. The seamless integration of these features allows businesses to focus on their core operations without the worry of network management interruptions.

An Application Load Balancer functions at the OSI Layer 7 level, using HTTP request attributes to efficiently control traffic flow and modify HTTP responses as necessary. Each engagement with your applications is meticulously recorded, allowing for thorough review and analysis through the load balancer’s access logs. By strategically distributing cloud resources across a range of geographically diverse availability zones, you ensure that your applications maintain accessibility even in the event of an outage in one zone. It is recommended to deploy distinct load balancers that cater to the unique requirements of different applications. When leveraging the Yandex Cloud framework to deploy multiple applications, configuring both Layer 4 and Layer 7 load balancers is crucial for achieving optimal service performance. Furthermore, you have the option to create backends for newer versions of your applications, which enables dynamic traffic management within the HTTP router by adjusting the traffic share between old and new backends, smoothly facilitating the transition. This approach not only strengthens the resilience of your application deployments but also significantly improves the efficiency of resource utilization. In addition, regularly monitoring the performance of these load balancers can provide insights that drive continuous improvement in application responsiveness and reliability.

Quickly establish preconfigured virtual machines that come with load generators right from the console. The test parameters can be easily set up using either an intuitive form or a configuration file. Once tests are conducted, results will be automatically saved to your chosen storage solution, ensuring seamless access to data. You can view in-depth test reports at any time, which will offer valuable insights into your testing activities. The process of configuring test parameters is user-friendly, allowing for easy adjustments through both the form and the configuration file. An agent is launched within your cloud environment to generate load on your service without the need for extra permissions, ensuring you retain complete control over its operations. This service is specifically designed for the cloud, which means there's no need to alter or tweak any existing tools, thus simplifying your workflow. Furthermore, this method guarantees a more streamlined and effective testing experience, avoiding any unnecessary complications. By leveraging this service, you can focus more on optimizing your applications rather than getting bogged down by technical hurdles.

Improve the speed at which your service delivers media assets by employing content caching across a network of globally positioned CDN servers. These worldwide CDN servers are designed to fetch, store, and deliver your content to users as required. To enhance load balancing and speed up content distribution, arrange servers that host duplicate content strategically. It is also essential to utilize content caching for both the CDN servers and user browsers, specify how long file copies should be stored, and prepare large files ahead of user requests. Within Yandex Cloud CDN, you can assess various metrics related to the amount of traffic you have both received and transmitted, along with monitoring the number of requests and errors over the past month, which provides valuable insights into your service's performance. This detailed analysis not only aids in identifying potential issues but also supports you in making well-informed choices for future enhancements to your service.

Yandex Cloud's Cloud DNS operates on a strong and effective architecture that guarantees exceptional performance and dependability. This service improves the DNS query routing process, ensuring users experience consistent access characterized by minimal latency and rapid record updates. Users are empowered to create both public and private DNS zones that cater specifically to their requirements. Moreover, it supports the setup of various environments for development, testing, and debugging, which can be accessed solely from the user's virtual networks (VPC) via internal zones within a single project. Cloud DNS is readily available through multiple platforms, including the Yandex Cloud console, API, CLI, and Terraform interfaces. Users can easily link friendly domain names to their cloud applications and websites without the hassle of managing their own DNS servers or installing additional software. In addition to this, these domain zones contain resource records that connect the IP addresses of virtual machines to their respective domain names, enhancing both connectivity and organization. By utilizing this service, businesses can streamline their cloud infrastructure while retaining full control over their DNS settings. Furthermore, the flexibility offered by Cloud DNS enables users to efficiently adapt to changing demands and scale their operations as needed.

Yandex Cloud Backup offers a robust solution for protecting application data by utilizing the Cloud Backup agent installed within the guest operating system, ensuring high reliability. Users have the ability to extract specific files from their backups and correctly position them within the current virtual machine's directory structure. Furthermore, backup policies can be developed for virtual machines throughout the cloud environment via the console, and these policies are applicable during the virtual machine's setup phase. All backup operations occur within the cloud, requiring merely the configuration and implementation of policies on the selected virtual machines. Unlike a standard disk snapshot, this service creates copies of all disks associated with the virtual machine, which includes network SSDs, HDDs, non-replicated disks, and local disks on dedicated hosts. Should the need arise to revert the current virtual machine to a previous state be impractical, users can opt to restore their backup to a newly established virtual machine, thus providing both flexibility and resilience in data management practices. This comprehensive functionality positions Yandex Cloud Backup as an essential tool for not only managing backups but also maintaining the overall application integrity in a cloud setting, allowing businesses to operate with confidence and security.

Yandex Monitoring efficiently collects metrics related to your cloud resources without requiring any additional input from you. You can choose to generate separate charts for distinct metrics or combine all your application's metrics into one detailed dashboard. Furthermore, notifications can be configured to alert you when specific metric thresholds are exceeded. These alerts can be sent through email or SMS, and you have the option to include other users in these notifications as well. The service provides visualization for exported metrics and allows you to oversee both your cloud and on-premise infrastructure from a single, integrated platform. You have the flexibility to upload metrics from applications running on Yandex Cloud or to monitor local data sources. These metrics capture variations in specific values over time, such as the operational status of a Yandex Cloud service, covering aspects like used disk space and network data transfer rates. This extensive monitoring feature guarantees that you remain updated on the performance and condition of your resources consistently. Additionally, the ability to customize your monitoring setup enhances your capability to respond promptly to any issues that may arise.

The service aggregates runtime data from different sources into a cohesive log group. You can choose to use pre-existing log groups or create new ones that cater to particular services and applications. Filtering entries is achievable via queries. When using Cloud Logging, you can apply logical operators, filter by designated parameters, or perform searches within JSON structures. This service is structured to collect, process, and store logs for up to 31 days. Each log group is allocated its own distinct data storage area. Access rights for reading and writing can be managed through role assignments. Furthermore, it is possible to merge data from Cloud Logging with diagnostic information from other systems that work with Grafana, all on one dashboard, facilitating a more organized analysis. This integration not only improves oversight but also makes monitoring across various platforms much more efficient, thereby enhancing overall operational effectiveness.

Serverless computing is ideally designed for applications that face varying levels of demand. By automating tasks such as storage scaling, query execution, and backup processes, it greatly reduces the complexity of management. The compatibility of service APIs in a serverless architecture facilitates easy integration with AWS SDKs across multiple programming languages, including Java, JavaScript, Node.js, .NET, PHP, Python, and Ruby. YDB is strategically deployed across three availability zones, guaranteeing persistent availability even if a node or zone fails. In the event of hardware malfunctions or data center complications, the system is engineered to recover autonomously, ensuring ongoing operational continuity. YDB excels in high-performance scenarios, adeptly processing hundreds of thousands of transactions per second without compromising on latency. Moreover, its architecture is tailored to efficiently manage extensive data volumes, accommodating hundreds of petabytes with ease. This robust framework positions it as an outstanding solution for enterprises that demand both reliability and speed in their data processing operations, making it a vital asset in today's data-driven landscape. Further, its resilient infrastructure provides peace of mind, allowing businesses to focus on innovation rather than infrastructure management.

In mere minutes, you can establish a fully operational cluster that is tailored to your needs. The configurations for the database are automatically optimized according to the cluster size you choose. If your cluster experiences increased demand, you can quickly add new servers or enhance the capacity of existing ones without any hassle. Redis employs a key-value data storage system, which supports a variety of formats including strings, arrays, dictionaries, sets, and bitmasks. Functioning mainly in RAM, Redis is particularly suited for applications requiring swift responses or for handling a large number of operations on relatively small datasets. To ensure the safety of your database content, GPG encryption is used for backups, and data protection measures comply with local laws, GDPR, and ISO standards. Moreover, you have the option to set a time limit for the Yandex Managed Service for Redis to automatically remove data, which assists in minimizing storage costs. This functionality not only enhances resource management but also upholds compliance and security measures effectively. Overall, this streamlined approach makes it easier to maintain a balance between performance and regulatory requirements.

Access the newest features and official versions of MongoDB that guarantee full compatibility with the platform. When your cluster faces higher demand, you can effortlessly scale up by adding new servers or boosting the capacity of existing ones within mere minutes. Concentrate on advancing your project while we take care of the backend aspects of your database, including software backups, monitoring, fault tolerance, and updates to keep your system running smoothly. Clusters operating on MongoDB version 4.0 or later can activate sharding, enabling the addition and configuration of individual shards to enhance performance. Every connection to the database management system is safeguarded with TLS encryption, and backups are secured through GPG encryption for added protection. Your data adheres to local regulations, GDPR, and ISO industry standards, ensuring its security and confidentiality. In contrast to conventional databases that rely on standard tables, MongoDB structures data in collections of JSON-like documents, offering significant advantages for projects where data schemas may change over time. This adaptability allows developers to modify their applications with minimal rework, fostering innovation and efficiency in your development process. As your project grows, this approach can lead to both time and cost savings, making MongoDB a valuable asset for any evolving application.

Focus on developing applications that handle data streams while leaving infrastructure management behind. The Managed Service for Apache Kafka takes charge of Zookeeper brokers and clusters, managing essential tasks like cluster configuration and version upgrades. To maintain a robust level of fault tolerance, it's advisable to spread your cluster brokers across several availability zones and establish a suitable replication factor. This service proactively tracks the metrics and overall health of the cluster, automatically replacing any failing nodes to provide continuous service. You have the flexibility to adjust various configurations for each topic, including replication factors, log cleanup policies, compression types, and maximum message limits, ensuring optimal utilization of computing, networking, and storage resources. Furthermore, boosting your cluster's performance is effortless; simply click a button to add brokers, and you can modify the high-availability hosts without any downtime or data loss. This capability allows for seamless scalability as your needs evolve. By leveraging this service, you can guarantee that your applications will remain both efficient and resilient, ready to tackle unexpected challenges that may arise. As a result, you can concentrate on innovation rather than maintenance, maximizing your overall productivity.

Assess the performance of the Greenplum Database Management System (DBMS) by leveraging its monitoring and query management capabilities found in the command center, which facilitates the observation and retrieval of both query and session logs. The Hybrid Storage functionality in Yandex Managed Service for Greenplum® works in harmony with Object Storage, allowing for effective hybrid storage management and the automatic migration of data to cold storage options. Users can establish a fully operational cluster within minutes, with the database configuration adjusted based on the selected cluster size, although modifications can be made if necessary. The integration with the DataLens Business Intelligence platform empowers users to generate reports, charts, and dashboards directly from the service leveraging the data housed in Greenplum. Additionally, all DBMS connections are safeguarded through encryption using the TLS protocol, which guarantees the security of data transmission. Our infrastructure adheres to local laws, GDPR, specific ISO standards relevant to the industry, and PCI DSS security mandates, ensuring that data integrity and compliance are upheld. This comprehensive setup not only boosts operational effectiveness but also emphasizes the importance of security and adherence to regulatory frameworks, ultimately fostering a trustworthy data management environment. By combining these features, organizations can significantly enhance their data handling capabilities while ensuring robust protection and compliance at every level.