Alternatives to Yandex Managed Service for Elasticsearch

Kibana serves as a free and open user interface that enables the visualization of your Elasticsearch data while providing navigational capabilities within the Elastic Stack. You can monitor query loads or gain insights into how requests traverse your applications. This platform offers flexibility in how you choose to represent your data. With its dynamic visualizations, you can start with a single inquiry and discover new insights along the way. Kibana comes equipped with essential visual tools such as histograms, line graphs, pie charts, and sunbursts, among others. Additionally, it allows you to conduct searches across all your documents seamlessly. Utilize Elastic Maps to delve into geographic data or exercise creativity by visualizing custom layers and vector shapes. You can also conduct sophisticated time series analyses on your Elasticsearch data using our specially designed time series user interfaces. Furthermore, articulate queries, transformations, and visual representations with intuitive and powerful expressions that are easy to master. By employing these features, you can uncover deeper insights into your data, enhancing your overall analytical capabilities.

Gain access to the latest features and official releases of MongoDB that ensure complete compatibility with the platform. As your cluster experiences increased demand, you can seamlessly add new servers or enhance their existing capacity within minutes. Focus your efforts on your project while we manage the backend of your database, including software backups, monitoring, fault tolerance, and updates. Clusters running MongoDB version 4.0 or newer can enable sharding, allowing you to add and configure individual shards to optimize performance. All connections to the database management system are secured through TLS encryption, and backups are protected using GPG encryption. Your data complies with local regulations, GDPR, and ISO industry standards, ensuring its safety and privacy. Unlike traditional databases that utilize regular tables, MongoDB organizes data into collections of JSON-like documents, making it particularly advantageous for projects where data structures might evolve over time. This flexibility empowers developers to adapt their applications without extensive rework.

Beats serves as a free and accessible platform designed specifically for single-purpose data shippers that transport data from numerous machines and systems to Logstash or Elasticsearch. These open-source data shippers are installed as agents on your servers, enabling the seamless transfer of operational data to Elasticsearch. Elastic offers Beats to facilitate the collection of data and event logs efficiently. Data can be directed to Elasticsearch or routed through Logstash, allowing for additional processing and enhancement before visualization in Kibana. If you're eager to start monitoring infrastructure metrics and centralizing log analytics swiftly, the Metrics app and Logs app in Kibana are excellent resources to explore. For comprehensive guidance, refer to Analyze metrics and Monitor logs. Filebeat simplifies the process of collecting data from various sources, including security devices, cloud environments, containers, and hosts, by providing a lightweight solution to forward and centralize logs and files. This flexibility ensures that you can maintain an organized and efficient data pipeline regardless of the complexity of your infrastructure.

ClusterControl is a multi-cloud hybrid database ops orchestration platform that supports MongoDB and Elasticsearch as well as Redis, TimescaleDB and SQL Server on Linux. It also supports Galera Cluster, PostgreSQL and MySQL in cloud and on-premises environments. It can handle all aspects of the lifecycle, including deployment, failover, backup, and more. It allows organizations to implement the Sovereign DBaaS model with its full suite of databases and ops features. ClusterControl is the ideal solution for organizations who need to run large-scale, open source database operations reliably but don't want to be restricted by traditional DBaaS providers. It allows you to choose your environment, stability of licenses, and gives you DB access.

Experience a robust solution for managing OpenSearch clusters within the Yandex Cloud ecosystem. Leverage this widely adopted open-source technology to seamlessly incorporate rapid and scalable full-text search capabilities into your applications. You can launch a pre-configured OpenSearch cluster in mere minutes, with settings tailored for optimal performance based on your selected cluster size. We handle all aspects of cluster upkeep, including resource allocation, monitoring, fault tolerance, and timely software upgrades. Take advantage of our visualization tools to create analytical dashboards, monitor application performance, and establish alert systems. Additionally, you can integrate third-party authentication and authorization services like SAML to enhance security. The service also allows for detailed configurations regarding data access levels, ensuring that users can maintain control over their information. By utilizing open source code, we foster collaboration with the community, allowing us to deliver prompt updates and mitigate the risk of vendor lock-in. OpenSearch stands out as a highly scalable suite of open-source search and analytics tools, offering a comprehensive range of technologies for efficient search and analysis. With this system, organizations can not only enhance their data capabilities but also stay ahead in the competitive landscape of information retrieval.

In just a matter of minutes, you can launch a fully operational cluster and effortlessly configure automatic backups and replicas. Focus on your project while we handle essential database upkeep, including software backups, monitoring, fault tolerance, and updates. With Managed Service for MySQL®, you have the flexibility to create read replicas and design custom replication architectures. Your data is securely stored in an encrypted format, complying with local regulations, GDPR, and ISO industry standards. You can track your cluster's status and resource usage through the management console or export resource metrics using the API, ensuring that you are always informed about your database’s performance and health. This level of management allows you to concentrate on innovation without the burden of maintenance.

The Managed Service for PostgreSQL allows users to easily set up and manage PostgreSQL server clusters within the Yandex Cloud ecosystem. In mere minutes, you can have a fully functional cluster up and running. The database settings are tailored to fit the chosen cluster size, with the flexibility to modify them as needed. As your cluster experiences increased demand, you have the option to swiftly add additional servers or enhance their capacity. Featuring a straightforward interface with clear visualizations, monitoring the health and workload of your PostgreSQL cluster is a breeze. Security is a priority, as all database connections utilize TLS encryption, while backups are safeguarded with GPG encryption. Furthermore, data protection measures comply with local regulations, GDPR, and ISO industry standards, ensuring your information is both secure and trustworthy. This robust service provides peace of mind and efficiency for users managing critical database environments.

Concentrate on creating applications for processing data streams instead of spending time on infrastructure upkeep. The Managed Service for Apache Kafka takes care of Zookeeper brokers and clusters, handling tasks such as configuring the clusters and performing version updates. To achieve the desired level of fault tolerance, distribute your cluster brokers across multiple availability zones and set an appropriate replication factor. This service continuously monitors the metrics and health of the cluster, automatically replacing any node that fails to ensure uninterrupted service. You can customize various settings for each topic, including the replication factor, log cleanup policy, compression type, and maximum message count, optimizing the use of computing, network, and disk resources. Additionally, enhancing your cluster's performance is as simple as clicking a button to add more brokers, and you can adjust the high-availability hosts without downtime or data loss, allowing for seamless scalability. By utilizing this service, you can ensure that your applications remain efficient and resilient amidst any unforeseen challenges.

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

IIS Inspector provides a comprehensive solution for capturing detailed metrics for each request without relying on log files, opting for ETW instead. It records not just execution time but also the flush time, which is how long it takes to deliver a response to the client. Additionally, it tracks crucial performance indicators such as CPU usage, memory consumption, .NET exceptions, application pool recycles, bandwidth usage, and more. This tool allows users to thoroughly assess the performance of any website hosted on IIS, whether it runs on ASP.NET or PHP. The data collected by IIS Inspector is reported directly to Elasticsearch, facilitating visualization through Kibana. While it includes default visualizations, users have the flexibility to create their own tailored views. With Kibana's capabilities, users can effortlessly discover and visualize detailed request data collected by IIS Inspector. Moreover, it enables the creation of custom alerts utilizing Elasticsearch's watcher feature, and several predefined watch definitions are available to streamline the initial setup. In addition to performance metrics, IIS Inspector provides insights into what Microsoft IIS is caching and compressing, ensuring that you have a full understanding of your web server's operation. Overall, this tool empowers administrators to optimize their web applications effectively.

TKE seamlessly integrates with the full spectrum of Kubernetes features and has been optimized for Tencent Cloud's core IaaS offerings, including CVM and CBS. Moreover, Tencent Cloud's Kubernetes-driven products like CBS and CLB facilitate one-click deployments to container clusters for numerous open-source applications, significantly enhancing the efficiency of deployments. With the implementation of TKE, the complexities associated with managing large clusters and the operations of distributed applications are greatly reduced, eliminating the need for specialized cluster management tools or the intricate design of fault-tolerant cluster systems. You simply initiate TKE, outline the tasks you wish to execute, and TKE will handle all cluster management responsibilities, enabling you to concentrate on creating Dockerized applications. This streamlined process allows developers to maximize their productivity and innovate without being bogged down by infrastructure concerns.

Mesos operates on principles similar to those of the Linux kernel, yet it functions at a different abstraction level. This Mesos kernel is deployed on each machine and offers APIs for managing resources and scheduling tasks for applications like Hadoop, Spark, Kafka, and Elasticsearch across entire cloud infrastructures and data centers. It includes native capabilities for launching containers using Docker and AppC images. Additionally, it allows both cloud-native and legacy applications to coexist within the same cluster through customizable scheduling policies. Developers can utilize HTTP APIs to create new distributed applications, manage the cluster, and carry out monitoring tasks. Furthermore, Mesos features an integrated Web UI that allows users to observe the cluster's status and navigate through container sandboxes efficiently. Overall, Mesos provides a versatile and powerful framework for managing diverse workloads in modern computing environments.

You can set up a fully functional cluster in just a few minutes. The database configurations are pre-optimized based on the selected cluster size. Should the demand for your cluster rise, it’s easy to either add new servers or boost their existing capacity within minutes. Redis utilizes a key-value data storage format, accommodating various types such as strings, arrays, dictionaries, sets, and bitmasks, among others. Operating primarily in RAM, Redis is ideal for scenarios that demand rapid responses or involve executing numerous operations on a relatively small dataset. The contents of the database are secured with GPG encryption for backups. Additionally, data protection adheres to local regulations, GDPR, and ISO standards. You can also set a time limit for the Yandex Managed Service for Redis to automatically purge data, which helps in optimizing storage expenses. This feature allows for better management of resources while ensuring compliance and security.

rqlite is a lightweight and easy-to-use distributed relational database that leverages SQLite’s capabilities. It offers high availability and fault tolerance without the usual complexities. By merging SQLite's user-friendly design with a reliable, robust system, rqlite stands out as a developer-oriented solution. Its straightforward operations ensure that users can deploy it in mere seconds, avoiding intricate configurations. The database effortlessly fits into modern cloud environments and is built on SQLite, which is recognized as the most widely used database globally. It features full-text search, Vector Search, and support for JSON documents, catering to various data needs. Enhanced security is provided through access controls and encryption for secure deployments. The platform benefits from rigorous automated testing processes that guarantee its quality. Clustering capabilities further enhance its availability and fault tolerance, while automatic node discovery streamlines the clustering process, making it even more user-friendly. This combination of features makes rqlite an ideal choice for developers looking for simplicity without sacrificing reliability.

Designed specifically for cloud-native environments, EraSearch offers a versatile data fabric that utilizes separate storage and processing capabilities, a genuine zero-schema architecture, and smart indexing to provide a log management solution that scales infinitely while significantly lowering both cost and complexity. Unlike many log management tools built on Elasticsearch, EraSearch was developed from the ground up to address its major shortcomings. By adopting a stateless architecture for its essential components, EraSearch allows for seamless management through Kubernetes, making it a pleasure to operate. The innovative coordination-free ingest method enables EraSearch to manage data at a much lower cost, setting it apart from traditional solutions. Additionally, with EraSearch, you can enjoy a fully automated experience, eliminating any concerns about maintaining the health of your cluster. Ultimately, this cutting-edge approach redefines log management for modern applications.

Opster's AutoOps platform optimizes mapping, stabilizes operations, and improves resource utilization to reduce hardware costs and improve performance. Orchestration, management capabilities, and ticket-based support are not enough. AutoOps provides all the support you need, in real time. AutoOps can diagnose issues in all aspects of Elasticsearch operations. The system provides precise root cause analysis and also helps to resolve the problem. AutoOps can perform advanced optimizations, such as shard rebalancing and blocking heavy searches. It can also optimize templates. These optimizations will ensure your cluster operates at its peak performance and maximum resilience. Opster's AutoOps platform enables customers to dramatically reduce the hardware required for their deployment by optimizing mapping, stabilizing operations, and improving resource utilization.

Focus your efforts on your project, and we will manage the upkeep of the database, which includes software backups, continuous monitoring, ensuring fault tolerance, and applying updates. ClickHouse excels at processing large datasets in real-time, and its columnar storage approach significantly reduces storage requirements through efficient data compression. All database connections are secured with TLS encryption to maintain confidentiality. Additionally, we adhere to local regulations, GDPR, and ISO industry standards to protect your data. You can visualize the data architecture within your ClickHouse cluster and execute SQL queries directly from the management console. Furthermore, the service offers data replication across database hosts, both within and across availability zones, and seamlessly transitions the load to a backup replica in case of any failures, thus enhancing reliability. This comprehensive approach ensures that your data remains both accessible and secure during any unexpected incidents.

Apache Helix serves as a versatile framework for managing clusters, ensuring the automatic oversight of partitioned, replicated, and distributed resources across a network of nodes. This tool simplifies the process of reallocating resources during instances of node failure, system recovery, cluster growth, and configuration changes. To fully appreciate Helix, it is essential to grasp the principles of cluster management. Distributed systems typically operate on multiple nodes to achieve scalability, enhance fault tolerance, and enable effective load balancing. Each node typically carries out key functions within the cluster, such as data storage and retrieval, as well as the generation and consumption of data streams. Once set up for a particular system, Helix functions as the central decision-making authority for that environment. Its design ensures that critical decisions are made with a holistic view, rather than in isolation. Although integrating these management functions directly into the distributed system is feasible, doing so adds unnecessary complexity to the overall codebase, which can hinder maintainability and efficiency. Therefore, utilizing Helix can lead to a more streamlined and manageable system architecture.

Enhance your operational efficiency by leveraging a widely-used open-source solution managed by AWS. Implement auditing and data security measures with an architecture that includes built-in certifications for both data centers and networks. Proactively identify potential threats and respond to system conditions by utilizing machine learning, alert notifications, and visualization tools. Streamline your time and resources to focus on strategic initiatives. Gain secure access to real-time search capabilities, monitoring, and analysis of both business and operational data. Amazon OpenSearch Service simplifies the process of conducting interactive log analytics, monitoring applications in real-time, and enabling website search functionalities. As an open-source, distributed search and analytics suite that evolved from Elasticsearch, OpenSearch allows for extensive data exploration. Amazon OpenSearch Service provides users with the latest releases of OpenSearch, compatibility with 19 different versions of Elasticsearch (ranging from 1.5 to 7.10), and visualization features through OpenSearch dashboards and Kibana, ensuring a comprehensive toolkit for data management. This versatile service empowers organizations to harness data insights efficiently while maintaining a robust security posture.

Execute code within a secure, resilient, and automatically scalable framework without the need to create or manage virtual machines. As the demand for function executions rises, the service dynamically provisions extra instances of your function to handle the increased load. All functions operate concurrently, and the runtime environment is distributed across three availability zones to maintain service continuity even if one zone experiences issues. You can set up and ready function instances to handle incoming requests efficiently, which helps to eliminate cold starts and allows for the rapid processing of workloads of any magnitude. Grant your functions access to your Virtual Private Cloud (VPC) to enhance communication with private resources, including database clusters, virtual machines, and Kubernetes nodes. Additionally, Serverless Functions monitors and logs details about function executions, providing insights into operational flow and performance metrics; you also have the option to specify logging methods within your function's code. Furthermore, you can initiate cloud functions in both synchronized mode and with delayed execution capabilities for greater flexibility. This approach allows for streamlined processes that can adapt to varying workloads efficiently.

An innovative and more secure approach to developing fault-tolerant cloud applications is offered through the groundbreaking cloud-native DBOS operating system. Drawing from three years of collaborative open-source research and development between MIT and Stanford, DBOS transforms the landscape of cloud-native architecture. This cloud-native operating system leverages a relational database to significantly streamline the intricate application stacks commonly found today. DBOS underpins DBOS Cloud, which serves as a transactional serverless platform that ensures fault tolerance, observability, cyber resilience, and straightforward deployment for stateful TypeScript applications. The services of the operating system are built upon a distributed database management system, featuring integrated transactional and fault-tolerant state management that reduces complexity by eliminating the need for containers, cluster management, or workflow orchestration. It offers seamless scalability, outstanding performance, and consistent availability, while metrics, logs, and traces are conveniently stored in SQL-accessible tables. Additionally, the architecture minimizes the cyber attack surface, incorporates self-detection mechanisms for cyber threats, and enhances overall cyber resilience, making it a robust choice for modern cloud applications. Overall, the DBOS operating system represents a significant leap forward in simplifying cloud application development while ensuring high security and reliability.

Rocket iCluster's high availability and disaster recovery (HA/DR) solutions guarantee seamless operation for your IBM i applications, ensuring consistent access by actively monitoring, detecting, and automatically rectifying replication issues. The iCluster's administration console, which supports both traditional green screen and contemporary web interfaces, provides real-time monitoring of events. By implementing real-time, fault-tolerant, object-level replication, Rocket iCluster minimizes downtime caused by unforeseen IBM i system failures. Should an outage occur, you can quickly activate a “warm” mirror of a clustered IBM i system within minutes. The disaster recovery capabilities of iCluster create a high-availability environment, facilitating simultaneous access to both master and replicated data for business applications. This configuration not only enhances system resilience but also allows for the delegation of essential business operations, such as running reports, executing queries, and managing ETL, EDI, and web tasks, from the secondary system without compromising the primary system's performance. Such flexibility ultimately leads to improved operational efficiency and reliability across your business processes.

MasterDC, an IT infrastructure provider based in the Czech Republic, excels in managed services, cloud solutions, and high-quality hosting for enterprise clients. With modern data centers located in both Prague and Brno, the company has been a trusted partner for businesses and organizations for almost thirty years. Its extensive range of services includes dedicated servers, VPS hosting, cloud servers, server housing, and various managed services. MasterDC is equipped to handle a variety of technologies such as Kubernetes, Docker, Ceph, Hyper-V, and Proxmox VE, addressing a wide array of infrastructure requirements. The company also prioritizes strong networking and security measures, offering solutions like AWS Direct Connect, firewall protection, DDoS mitigation, log management, and SIEM services to ensure client safety. In terms of data storage, MasterDC provides options such as Nextcloud hosting, data replication, and server backup, making it easier for organizations to manage their information. Their database solutions include database as a service, Elasticsearch, Galera Cluster, and optimization services, ensuring efficient data handling and performance. Overall, MasterDC continues to adapt and innovate in the ever-evolving technology landscape to meet their clients' needs.

It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.

SCC MediaServer's solutions for digital asset management and multimedia archiving have empowered numerous clients to enhance efficiency and reduce expenses by centralizing their digital assets and media workflows in strategically located data centers. Offered in both Enterprise and Express Editions, SCC MediaServer boasts a comprehensive suite of tools for content planning and assignment, facilitating effective asset management and digital media archiving. Engineered for compatibility with Microsoft Cluster Server, the MediaServer system enhances scalability and fault tolerance through its support for parallel processing and failover functionalities across various cluster nodes. Additionally, the included SCC MediaFactory is designed to automatically oversee designated network directories, FTP servers, email accounts, RSS-enabled websites, and even Twitter feeds, ensuring that incoming media is seamlessly ingested and indexed for easy access within the MediaServer database. Overall, this combination of features allows organizations to maintain a robust and efficient media management system.

Evaluate the effectiveness of the Greenplum Database Management System (DBMS) by utilizing the monitoring and query management features available in the command center, which also allows for the viewing and downloading of query and session histories. The Hybrid Storage feature within Yandex Managed Service for Greenplum® seamlessly integrates with Object Storage, enabling users to efficiently manage hybrid storage with automatic transfers of data to cold storage. You can set up a fully functional cluster in a matter of minutes, with database settings tailored to the chosen cluster size, although adjustments can be made if needed. The integration with the DataLens Business Intelligence system facilitates the creation of reports, charts, and dashboards directly from the service using data stored in Greenplum. Furthermore, all connections to the DBMS are secured with encryption through the TLS protocol, ensuring data protection. Our infrastructure complies with local regulations, GDPR, industry-specific ISO standards, and PCI DSS security requirements, providing peace of mind regarding data safety and compliance. Overall, this setup not only enhances operational efficiency but also prioritizes security and regulatory adherence.

The Suricata engine excels in real-time intrusion detection (IDS), inline intrusion prevention (IPS), network security monitoring (NSM), and offline packet capture (pcap) processing. It analyzes network traffic using a robust and comprehensive set of rules and signature languages, complemented by advanced Lua scripting capabilities that allow for the identification of intricate threats. Its compatibility with standard input and output formats such as YAML and JSON simplifies the integration with various tools, including established SIEMs, Splunk, Logstash/Elasticsearch, Kibana, and other databases. The development of Suricata is driven by a vibrant community focused on enhancing security, usability, and efficiency. Additionally, the project is managed and endorsed by the Open Information Security Foundation (OISF), a non-profit organization dedicated to fostering the ongoing development and success of Suricata as an open-source initiative. This commitment not only ensures the software's reliability but also actively encourages community contributions and collaboration.

OpenSearch is an open-source search and analytics suite that is community-driven and based on the Apache 2.0 licensed versions of Elasticsearch 7.10.2 and Kibana 7.10.2. It includes the OpenSearch search engine daemon and the OpenSearch Dashboards for visualization and user interaction. This platform allows users to easily ingest, secure, search, aggregate, visualize, and analyze their data. It is particularly well-suited for various applications, including application search and log analytics. Users gain the advantage of an open-source solution that they can customize, enhance, monetize, and resell according to their needs. Furthermore, OpenSearch is committed to delivering a secure and high-quality search and analytics environment, continuously evolving with a promising roadmap of innovative features and enhancements to meet users' needs effectively.

Dqlite is a high-speed, embedded SQL database that offers persistent storage and utilizes Raft consensus, making it an ideal choice for resilient IoT and Edge devices. Known as "distributed SQLite," Dqlite expands SQLite's capabilities across multiple machines, ensuring automatic failover and high availability to maintain application uptime. It employs C-Raft, an optimized implementation of Raft in C, which provides exceptional performance in transactional consensus and fault tolerance while maintaining SQLite’s renowned efficiency and compact size. C-Raft is specifically designed to reduce transaction latency, enabling faster operations. Both C-Raft and Dqlite are implemented in C, ensuring they are portable across various platforms. Released under the LGPLv3 license with a static linking exception, it guarantees broad compatibility. The system features a standard CLI pattern for initializing databases and managing the joining or leaving of voting members. It also incorporates minimal, configurable delays for failover alongside automatic leader election processes. Additionally, Dqlite supports a disk-backed database option with in-memory capabilities and adheres to SQLite's transaction protocols. The blend of these features makes Dqlite a powerful solution for modern data storage needs.

A centralized hub for metrics and insights related to your key software development projects is available. Bitergia Analytics aggregates data from over 30 different platforms, allowing you to gain a comprehensive view of the software development initiatives that are significant to you. It serves as a singular source of information, eliminating the need to waste time toggling between various platforms for essential data and metrics. By identifying users, contributors, and maintainers, you can uncover influencers and recognize trends within your community. This tool also helps you grasp software development workflows, such as code review and issue management, thereby enhancing both efficiency and collaboration. Notably, Bitergia Analytics is completely free and is built on open-source software, leveraging existing tools like GrimoireLab, Elasticsearch, and Kibana. GrimoireLab remains firmly committed to being 100% free and open-source. Upholding the principles of community and collective growth, we foster an environment where collaboration thrives.

Ensure that every modification you implement is recorded. Utilize version history to easily switch between iterations, confirming that your API operates without issues. Our infrastructure, optimized for subgraph pre-caching, enables customers to experience indexing speeds that are up to three times faster, all without requiring any code alterations. You can create streams using SQL from subgraphs and other data streams, achieving persistent aggregations with zero latency, accessible through bridges. We offer sub-second, reorganization-aware ETL capabilities to various tools such as Hasura, Timescale, and Elasticsearch, among others. Combine subgraphs from different chains into a single stream, allowing you to perform costly aggregations in just milliseconds. Stack streams on top of one another, integrate with off-chain data, and establish a distinctive real-time perspective of the blockchain. Execute reliable webhooks, conduct analytical queries, and utilize fuzzy search features, among other functionalities. Furthermore, you can connect streams and subgraphs to databases like Timescale and Elasticsearch, or directly to a hosted GraphQL API, expanding your data handling capabilities. This comprehensive approach ensures that your data processing remains efficient and effective.

Bloq gives you a single interface to a growing set of infrastructure services that can be used to build on multiple blockchain networks. Blockchain APIs allow you to accelerate development by providing real-time connectivity to the most popular blockchain networks, indexed data, and additional services. You can create your own private, fully managed cluster of nodes to ensure your business has the strong, fault-tolerant data foundation the blockchain industry requires. Bloq provides the infrastructure that blockchain businesses require at all scales. Both blockchain-native and traditional businesses can grow with the advancements in blockchain networks. Your ecosystem needs vital infrastructure to enable it to develop innovative new applications, scale quickly and explore synergies with leading blockchain protocols.

As the utilization of Kubernetes continues to increase, organizations are discovering the necessity of managing and deploying several clusters in order to support essential capabilities such as geo-redundancy, scalability, and fault isolation for their applications. Submariner enables your applications and services to operate seamlessly across various cloud providers, data centers, and geographical regions. To initiate this process, the Broker must be set up on a singular Kubernetes cluster. It is essential that the API server of this cluster is accessible to all other Kubernetes clusters that are linked through Submariner. This can either be a dedicated cluster or one of the already connected clusters. Once Submariner is installed on a cluster equipped with the appropriate credentials for the Broker, it facilitates the exchange of Cluster and Endpoint objects between clusters through mechanisms such as push, pull, and watching, thereby establishing connections and routes to other clusters. It's crucial that the worker node IP addresses on all connected clusters reside outside of the Pod and Service CIDR ranges. By ensuring these configurations, teams can maximize the benefits of multi-cluster setups.

Elastic is a search company. Elasticsearch, Kibana Beats, Logstash, and Elasticsearch are the founders of the ElasticStack. These SaaS offerings allow data to be used in real-time and at scale for analytics, security, search, logging, security, and search. Elastic has over 100,000 members in 45 countries. Elastic's products have been downloaded more than 400 million times since their initial release. Today, thousands of organizations including Cisco, eBay and Dell, Goldman Sachs and Groupon, HP and Microsoft, as well as Netflix, Uber, Verizon and Yelp use Elastic Stack and Elastic Cloud to power mission critical systems that generate new revenue opportunities and huge cost savings. Elastic is headquartered in Amsterdam, The Netherlands and Mountain View, California. It has more than 1,000 employees in over 35 countries.

uCrawler, an AI-based cloud news scraping service, is called uCrawler. You can add the latest news to your website, app or blog via API, ElasticSearch or MySQL export. You can also use our news website template if you don't own a website. With uCrawler CMS, you can create a news website in just one day! You can create custom newsfeeds that are filtered by keywords to monitor and analyze news. Data scraping. Data extraction.

LogZEN is an application designed for monitoring syslog data that is archived in Elasticsearch. This tool features a Python-based backend that offers a ReST API, as well as a frontend interface for users. Currently, the project is undergoing a reorganization, resulting in the absence of a stable version available for installation. LogZEN is categorized as free software, allowing users the freedom to redistribute and modify it in accordance with the GNU General Public License endorsed by the Free Software Foundation. As the project evolves, users can look forward to future enhancements and features that will improve their experience.

This robust enterprise platform, built on Apache Ignite, delivers lightning-fast in-memory performance and extensive scalability for data-heavy applications, ensuring real-time access across various datastores and applications. Transitioning from Ignite to GridGain requires no code modifications, allowing for secure deployment of clusters on a global scale without experiencing any downtime. You can conduct rolling upgrades on your production clusters without affecting application availability, and replicate data across geographically dispersed data centers to balance workloads and mitigate the risk of outages in specific regions. Your data remains secure both at rest and in transit, while compliance with security and privacy regulations is guaranteed. Seamless integration with your organization’s existing authentication and authorization frameworks is straightforward, and comprehensive auditing of data and user activities can be enabled. Additionally, you can establish automated schedules for both full and incremental backups, ensuring that restoring your cluster to its most stable state is achievable through snapshots and point-in-time recovery. This platform not only promotes efficiency but also enhances resilience and security for all data operations.

Tungsten Clustering is the only fully-integrated, fully-tested, fully-tested MySQL HA/DR and geo-clustering system that can be used on-premises or in the cloud. It also offers industry-leading, fastest, 24/7 support for Percona Server, MariaDB and MySQL applications that are business-critical. It allows businesses that use business-critical MySQL databases to achieve cost-effective global operations with commercial-grade high availabilty (HA), geographically redundant disaster relief (DR), and geographically distributed multimaster. Tungsten Clustering consists of four core components: data replication, cluster management, and cluster monitoring. Together, they handle all of the messaging and control of your Tungsten MySQL clusters in a seamlessly-orchestrated fashion.

NetOwl TextMiner merges the acclaimed NetOwl Extractor with Elasticsearch to deliver an innovative text analytics solution. This software harnesses the full spectrum of NetOwl's functionalities, making it perfect for conducting "what if" analyses, performing discovery tasks, facilitating quick-response investigations, and carrying out thorough research. By incorporating all the text analytics features of the NetOwl Extractor—including entity extraction, relationship and event extraction, sentiment analysis, text categorization, and geotagging—TextMiner presents a comprehensive text mining platform. The results generated by the Extractor are stored within Elasticsearch, which offers a range of intelligent search and analytical capabilities. The synergy between Elasticsearch and NetOwl ensures rapid and scalable real-time text analysis suited for handling Big Data. Furthermore, the user-friendly web-based interface of TextMiner can be easily configured to accommodate various analytical needs, enabling users to swiftly access only the most valuable insights from extensive text datasets. This adaptability not only enhances usability but also allows for more tailored analysis across multiple domains.

Red Hat® Data Grid is a robust, in-memory distributed NoSQL database solution designed for high-performance applications. By enabling your applications to access, process, and analyze data at lightning-fast in-memory speeds, it ensures an exceptional user experience. With its elastic scalability and constant availability, users can quickly retrieve information through efficient, low-latency data processing that leverages RAM and parallel execution across distributed nodes. The system achieves linear scalability by partitioning and distributing data among cluster nodes, while also providing high availability through data replication. Fault tolerance is ensured via cross-datacenter geo-replication and clustering, making recovery from disasters seamless. Furthermore, the platform offers development flexibility and boosts productivity with its versatile and functionally rich NoSQL capabilities. Comprehensive data security features, including encryption and role-based access, are also included. Notably, the release of Data Grid 7.3.10 brings important security enhancements to address a known CVE. It is crucial for users to upgrade any existing Data Grid 7.3 installations to version 7.3.10 promptly to maintain security and performance standards. Regular updates ensure that the system remains resilient and up-to-date with the latest technological advancements.

Elastic Load Balancer (ELB) effectively manages the distribution of incoming traffic across multiple servers, which helps in balancing their workloads and enhances both the service capabilities and fault tolerance of applications. Capable of handling as many as 100 million concurrent connections, ELB meets the demands of managing large volumes of simultaneous requests. It operates in a cluster mode, ensuring continuous service availability. In cases where servers within an Availability Zone (AZ) are deemed unhealthy, ELB seamlessly redirects traffic to healthy servers located in other AZs. This functionality guarantees that applications consistently maintain adequate capacity to accommodate fluctuating workload levels. Furthermore, ELB works in conjunction with Auto Scaling, allowing for dynamic adjustments in server numbers while efficiently routing incoming traffic. With a wide array of protocols and routing algorithms at your disposal, you can tailor traffic management policies to fit your specific requirements, all while simplifying deployments. The integration of these features positions ELB as an essential tool for optimizing application performance and reliability.

Introducing Kubestone, the operator designed for benchmarking within Kubernetes environments. Kubestone allows users to assess the performance metrics of their Kubernetes setups effectively. It offers a standardized suite of benchmarks to evaluate CPU, disk, network, and application performance. Users can exercise detailed control over Kubernetes scheduling elements, including affinity, anti-affinity, tolerations, storage classes, and node selection. It is straightforward to introduce new benchmarks by developing a fresh controller. The execution of benchmark runs is facilitated through custom resources, utilizing various Kubernetes components such as pods, jobs, deployments, and services. To get started, refer to the quickstart guide which provides instructions on deploying Kubestone and running benchmarks. You can execute benchmarks via Kubestone by creating the necessary custom resources within your cluster. Once the appropriate namespace is created, it can be utilized to submit benchmark requests, and all benchmark executions will be organized within that specific namespace. This streamlined process ensures that you can easily monitor and analyze the performance of your Kubernetes applications.

Webair offers a comprehensive Database-as-a-Service (DBaaS) solution, ensuring that your business has reliable and secure access to its essential data at all times. Our experienced team excels in overseeing the implementation, configuration, administration, and optimization of various database clusters, such as business-critical, load-balanced, and replicated MySQL clusters, which include options like MariaDB, Galera, and NoSQL. With a focus on creating a high-performance database environment, our Database Administrators collaborate with you to tailor the ideal solution, aligning top-tier infrastructure with the appropriate database configuration to suit your specific needs. By entrusting us with routine database responsibilities—such as performance monitoring, configuration management, memory allocation, storage oversight, log file handling, sizing, and applying service updates—you can redirect your attention to more pressing business matters, particularly the management of vital data within your database. This partnership enables your organization to thrive without the burden of database maintenance tasks, allowing for greater efficiency and productivity.

Harness the power of NoCode, REST APIs, or JavaScript components to create highly sophisticated search experiences for your applications. Build your search functionalities on your preferred tech stack while accelerating delivery by tenfold. Tailor user intent detection, configure search parameters, manage user language preferences, incorporate synonyms, and establish business rules, all deployable within seconds. Gain immediate access to search analytics and insights that facilitate ongoing enhancements in relevance and user engagement. Appbase.io is fueled by the top-tier search engine, Elasticsearch, allowing you to utilize your own Elasticsearch instance or leverage appbase.io’s hosting services, which come with an application layer cache for unparalleled search performance. The service is available across 16 global regions and is designed with double failover protection for added reliability. Alternatively, you can opt for self-hosting through our Docker image. Implement detailed access controls based on routes or fields and generate multiple dedicated keys for various purposes. Built-in features allow you to enforce rate limits, restrict access by IPs, and more, ensuring a comprehensive out-of-the-box solution. Collaborate securely with your team by establishing specialized access policies on appbase.io, enhancing both teamwork and security. This flexibility and efficiency in managing search capabilities can significantly transform how users interact with your application.

If your expenditures exceed $2,000 on a blockchain API infrastructure and you are generating numerous requests each second, exploring avenues for cost efficiency could be beneficial. This is where our services come into play, offering rapid access to blockchain infrastructure via a JSON-RPC endpoint tailored to your secure environment. How can RPC Fast, a self-managed cluster featuring geo-distributed blockchain nodes, assist you in this endeavor? - Our infrastructure is exceptionally fast, boasting over 90 distributed zones with nodes that maintain a 100% health status. - We guarantee an impressive uptime of 99.99% and an average latency of just 85.6 milliseconds from virtually anywhere. - At the core of our service lies PredictKube, an AI-driven model designed to anticipate traffic patterns and automatically adjust infrastructure capabilities based on your historical data and business metrics. - Additionally, our self-hosted solution guarantees the utmost security for your blockchain infrastructure, ensuring that your operations remain protected while you optimize costs. With these features, you can enhance performance while effectively managing your expenses.