Alternatives to Leo

Epsagon allows teams to instantly visualize, understand, and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Epsagon can increase development speed and reduce application downtime.

Tyk is an Open Source API Gateway and Management Platform that is leading in Open Source API Gateways and Management. It features an API gateway, analytics portal, dashboard, and a developer portal. Supporting REST, GraphQL, TCP and gRPC protocols We facilitate billions of transactions for thousands of innovative organisations. Tyk can be installed on-premises (Self-managed), Hybrid or fully SaaS.

Microservices architecture enables efficient streaming and batch data processing specifically designed for platforms like Cloud Foundry and Kubernetes. By utilizing Spring Cloud Data Flow, users can effectively design intricate topologies for their data pipelines, which feature Spring Boot applications developed with the Spring Cloud Stream or Spring Cloud Task frameworks. This powerful tool caters to a variety of data processing needs, encompassing areas such as ETL, data import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server leverages Spring Cloud Deployer to facilitate the deployment of these data pipelines, which consist of Spring Cloud Stream or Spring Cloud Task applications, onto contemporary infrastructures like Cloud Foundry and Kubernetes. Additionally, a curated selection of pre-built starter applications for streaming and batch tasks supports diverse data integration and processing scenarios, aiding users in their learning and experimentation endeavors. Furthermore, developers have the flexibility to create custom stream and task applications tailored to specific middleware or data services, all while adhering to the user-friendly Spring Boot programming model. This adaptability makes Spring Cloud Data Flow a valuable asset for organizations looking to optimize their data workflows.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

DeltaStream is an integrated serverless streaming processing platform that integrates seamlessly with streaming storage services. Imagine it as a compute layer on top your streaming storage. It offers streaming databases and streaming analytics along with other features to provide an integrated platform for managing, processing, securing and sharing streaming data. DeltaStream has a SQL-based interface that allows you to easily create stream processing apps such as streaming pipelines. It uses Apache Flink, a pluggable stream processing engine. DeltaStream is much more than a query-processing layer on top Kafka or Kinesis. It brings relational databases concepts to the world of data streaming, including namespacing, role-based access control, and enables you to securely access and process your streaming data, regardless of where it is stored.

Achieve limitless data retention for Apache Kafka® with Confluent, empowering you to be infrastructure-enabled rather than constrained by outdated systems. Traditional technologies often force a choice between real-time processing and scalability, but event streaming allows you to harness both advantages simultaneously, paving the way for innovation and success. Have you ever considered how your rideshare application effortlessly analyzes vast datasets from various sources to provide real-time estimated arrival times? Or how your credit card provider monitors millions of transactions worldwide, promptly alerting users to potential fraud? The key to these capabilities lies in event streaming. Transition to microservices and facilitate your hybrid approach with a reliable connection to the cloud. Eliminate silos to ensure compliance and enjoy continuous, real-time event delivery. The possibilities truly are limitless, and the potential for growth is unprecedented.

Conductor serves as a cloud-based workflow orchestration engine designed to assist Netflix in managing process flows that rely on microservices. It boasts a number of key features, including an efficient distributed server ecosystem that maintains workflow state information. Users can create business processes where individual tasks may be handled by either the same or different microservices. The system utilizes a Directed Acyclic Graph (DAG) for workflow definitions, ensuring that these definitions remain separate from the actual service implementations. It also offers enhanced visibility and traceability for the various process flows involved. A user-friendly interface facilitates the connection of workers responsible for executing tasks within these workflows. Notably, workers are language-agnostic, meaning each microservice can be developed in the programming language best suited for its purposes. Conductor grants users total operational control over workflows, allowing them to pause, resume, restart, retry, or terminate processes as needed. Ultimately, it promotes the reuse of existing microservices, making the onboarding process significantly more straightforward and efficient for developers.

Cloudera DataFlow for the Public Cloud (CDF-PC) is a versatile, cloud-based data distribution solution that utilizes Apache NiFi, enabling developers to seamlessly connect to diverse data sources with varying structures, process that data, and deliver it to a wide array of destinations. This platform features a flow-oriented low-code development approach that closely matches the preferences of developers when creating, developing, and testing their data distribution pipelines. CDF-PC boasts an extensive library of over 400 connectors and processors that cater to a broad spectrum of hybrid cloud services, including data lakes, lakehouses, cloud warehouses, and on-premises sources, ensuring efficient and flexible data distribution. Furthermore, the data flows created can be version-controlled within a catalog, allowing operators to easily manage deployments across different runtimes, thereby enhancing operational efficiency and simplifying the deployment process. Ultimately, CDF-PC empowers organizations to harness their data effectively, promoting innovation and agility in data management.

Become part of the expanding network of integration experts utilizing Martini™ for quicker integration solutions. Gloop streamlines the tedious tasks involved in developing services for application and data integration, API creation, and data management, significantly reducing the workload. It simplifies various essential development functions, including data mapping and transformation, array iteration, implementation of if-else and switch-case logic, external code invocation, parallel job execution, and much more. Additionally, Flux serves as Martini’s event-driven workflow engine designed for orchestrating asynchronous workflows and triggering events in Gloop microservices. With Flux, you can call Gloop microservices either sequentially, passing outputs from one to the next, or concurrently, while Flux expertly tracks the state of each execution. The creation of Flux workflows is intuitive, allowing users to visually construct them by dragging states onto a canvas and selecting the Gloop microservices to be executed at each state invocation, fostering a user-friendly experience. This innovative approach not only enhances productivity but also encourages collaboration within the integration community.

Integrate your data, applications, and devices—essentially all the elements you require to accelerate innovation through the use of APIs and microservices. This approach allows for the rapid launch of new products and services, significantly speeding up your time to market! By leveraging APIs and microservices, you can introduce unique products and services that enhance customer engagement and foster loyalty, ultimately benefiting your financial performance. Whether it's developing new mobile apps, executing omnichannel strategies, or streamlining e-commerce and business operations, APIs and microservices drive differentiation and facilitate business expansion in rapidly evolving markets. Safeguard your APIs, data, and microservices with robust authentication and access controls, ensuring secure interactions. Implement thresholds and limits to effectively manage API consumption, and organize microservices in a manner similar to business applications. By reusing and governing these components, you can maintain control and prevent disorder. Enhance visibility by tracking who accesses your APIs and microservices, while measuring consumption to influence revenue both directly and indirectly. Additionally, establish an API portal to create a storefront for your APIs, making it easier for users to access and engage with them. This comprehensive approach not only streamlines operations but also positions your organization for long-term success.

Regardless of your current position in the digital commerce transformation process, our comprehensive microservices, development framework, and adaptable React.js storefront can meet your needs effectively. Say goodbye to the daunting task of completely replacing your legacy system with a cumbersome monolithic solution. Our extensive array of pre-built microservices can be implemented collectively or in a modular fashion, allowing for seamless integration with your existing system. You have the freedom to dictate the direction of your business and transition at a speed that suits you. If you are in the process of creating your own microservices, there's no need to start from scratch. Utilize our cutting-edge microservice framework, which includes essential features like orchestration, messaging, caching, monitoring, and authentication, all built on a top-tier technology stack. Our versatile React and Node storefront promotes a modular design and reusable coding practices, facilitating rapid development for Single Page Applications (SPA) and Progressive Web Apps (PWA), ensuring an incredibly fast user experience. Additionally, modifications made to the front end will not interfere with the back-end code, allowing for smooth and efficient updates. This streamlined approach empowers businesses to innovate and scale without the complexity traditionally associated with tech upgrades.

Effortlessly gather, manage, and scrutinize video and data streams as they occur. Amazon Kinesis simplifies the process of collecting, processing, and analyzing streaming data in real-time, empowering you to gain insights promptly and respond swiftly to emerging information. It provides essential features that allow for cost-effective processing of streaming data at any scale while offering the adaptability to select the tools that best align with your application's needs. With Amazon Kinesis, you can capture real-time data like video, audio, application logs, website clickstreams, and IoT telemetry, facilitating machine learning, analytics, and various other applications. This service allows you to handle and analyze incoming data instantaneously, eliminating the need to wait for all data to be collected before starting the processing. Moreover, Amazon Kinesis allows for the ingestion, buffering, and real-time processing of streaming data, enabling you to extract insights in a matter of seconds or minutes, significantly reducing the time it takes compared to traditional methods. Overall, this capability revolutionizes how businesses can respond to data-driven opportunities as they arise.

IBM Event Streams is a comprehensive event streaming service based on Apache Kafka, aimed at assisting businesses in managing and reacting to real-time data flows. It offers features such as machine learning integration, high availability, and secure deployment in the cloud, empowering organizations to develop smart applications that respond to events in real time. The platform is designed to accommodate multi-cloud infrastructures, disaster recovery options, and geo-replication, making it particularly suitable for critical operational tasks. By facilitating the construction and scaling of real-time, event-driven solutions, IBM Event Streams ensures that data is processed with speed and efficiency, ultimately enhancing business agility and responsiveness. As a result, organizations can harness the power of real-time data to drive innovation and improve decision-making processes.

Scale from zero to millions of events per second effortlessly. Arroyo is delivered as a single, compact binary, allowing for local development on MacOS or Linux, and seamless deployment to production environments using Docker or Kubernetes. As a pioneering stream processing engine, Arroyo has been specifically designed to simplify real-time processing, making it more accessible than traditional batch processing. Its architecture empowers anyone with SQL knowledge to create dependable, efficient, and accurate streaming pipelines. Data scientists and engineers can independently develop comprehensive real-time applications, models, and dashboards without needing a specialized team of streaming professionals. By employing SQL, users can transform, filter, aggregate, and join data streams, all while achieving sub-second response times. Your streaming pipelines should remain stable and not trigger alerts simply because Kubernetes has chosen to reschedule your pods. Built for modern, elastic cloud infrastructures, Arroyo supports everything from straightforward container runtimes like Fargate to complex, distributed setups on Kubernetes, ensuring versatility and robust performance across various environments. This innovative approach to stream processing significantly enhances the ability to manage data flows in real-time applications.

Aiven takes the reins on your open-source data infrastructure hosted in the cloud, allowing you to focus on what you excel at: developing applications. While you channel your energy into innovation, we expertly handle the complexities of managing cloud data infrastructure. Our solutions are entirely open source, providing the flexibility to transfer data between various clouds or establish multi-cloud setups. You will have complete visibility into your expenses, with a clear understanding of costs as we consolidate networking, storage, and basic support fees. Our dedication to ensuring your Aiven software remains operational is unwavering; should any challenges arise, you can count on us to resolve them promptly. You can launch a service on the Aiven platform in just 10 minutes and sign up without needing to provide credit card information. Simply select your desired open-source service along with the cloud and region for deployment, pick a suitable plan—which includes $300 in free credits—and hit "Create service" to begin configuring your data sources. Enjoy the benefits of maintaining control over your data while leveraging robust open-source services tailored to your needs. With Aiven, you can streamline your cloud operations and focus on driving your projects forward.

Informatica's AI-driven Data Engineering Streaming empowers data engineers to efficiently ingest, process, and analyze real-time streaming data, offering valuable insights. The advanced serverless deployment feature, coupled with an integrated metering dashboard, significantly reduces administrative burdens. With CLAIRE®-enhanced automation, users can swiftly construct intelligent data pipelines that include features like automatic change data capture (CDC). This platform allows for the ingestion of thousands of databases, millions of files, and various streaming events. It effectively manages databases, files, and streaming data for both real-time data replication and streaming analytics, ensuring a seamless flow of information. Additionally, it aids in the discovery and inventorying of all data assets within an organization, enabling users to intelligently prepare reliable data for sophisticated analytics and AI/ML initiatives. By streamlining these processes, organizations can harness the full potential of their data assets more effectively than ever before.

Data processing that integrates both streaming and batch operations while being serverless, efficient, and budget-friendly. It offers a fully managed service for data processing, ensuring seamless automation in the provisioning and administration of resources. With horizontal autoscaling capabilities, worker resources can be adjusted dynamically to enhance overall resource efficiency. The innovation is driven by the open-source community, particularly through the Apache Beam SDK. This platform guarantees reliable and consistent processing with exactly-once semantics. Dataflow accelerates the development of streaming data pipelines, significantly reducing data latency in the process. By adopting a serverless model, teams can devote their efforts to programming rather than the complexities of managing server clusters, effectively eliminating the operational burdens typically associated with data engineering tasks. Additionally, Dataflow’s automated resource management not only minimizes latency but also optimizes utilization, ensuring that teams can operate with maximum efficiency. Furthermore, this approach promotes a collaborative environment where developers can focus on building robust applications without the distraction of underlying infrastructure concerns.

WarpStream serves as a data streaming platform that is fully compatible with Apache Kafka, leveraging object storage to eliminate inter-AZ networking expenses and disk management, while offering infinite scalability within your VPC. The deployment of WarpStream occurs through a stateless, auto-scaling agent binary, which operates without the need for local disk management. This innovative approach allows agents to stream data directly to and from object storage, bypassing local disk buffering and avoiding any data tiering challenges. Users can instantly create new “virtual clusters” through our control plane, accommodating various environments, teams, or projects without the hassle of dedicated infrastructure. With its seamless protocol compatibility with Apache Kafka, WarpStream allows you to continue using your preferred tools and software without any need for application rewrites or proprietary SDKs. By simply updating the URL in your Kafka client library, you can begin streaming immediately, ensuring that you never have to compromise between reliability and cost-effectiveness again. Additionally, this flexibility fosters an environment where innovation can thrive without the constraints of traditional infrastructure.

The Streaming service is a real-time, serverless platform for event streaming that is compatible with Apache Kafka, designed specifically for developers and data scientists. It is seamlessly integrated with Oracle Cloud Infrastructure (OCI), Database, GoldenGate, and Integration Cloud. Furthermore, the service offers ready-made integrations with numerous third-party products spanning various categories, including DevOps, databases, big data, and SaaS applications. Data engineers can effortlessly establish and manage extensive big data pipelines. Oracle takes care of all aspects of infrastructure and platform management for event streaming, which encompasses provisioning, scaling, and applying security updates. Additionally, by utilizing consumer groups, Streaming effectively manages state for thousands of consumers, making it easier for developers to create applications that can scale efficiently. This comprehensive approach not only streamlines the development process but also enhances overall operational efficiency.

Begin developing your inaugural Eclipse ioFogTM application today. Eclipse ioFog is completely free and open source, and it will remain so indefinitely. By installing Eclipse ioFogTM on any device with a minimal processing capacity, you establish a distributed Edge Compute Network (ECN), which allows for the dynamic, secure, and remote execution of any microservice. It operates on each of your edge devices, creating a robust platform for microservices. The system grants you remote oversight of these microservices and facilitates communication between them across intricate networks. Envision a scenario where you can select self-sufficient code segments (known as microservices) and deploy them anywhere at the simple push of a button. Picture having the ability to remotely manage code that operates on dozens of iPhones in employees' pockets, numerous servers within a factory, and various computers situated in delivery trucks—all utilizing the same technological framework. With such capabilities, the possibilities for innovation and operational efficiency are boundless.

Simply put, our Point of Sale system is the ultimate solution compatible with any device, whether mobile, fixed, or handheld terminal. It supports various operating systems, including Windows, Android, Linux, and iOS, and is built on a single, highly configurable codebase. Developed through our Microservice Tools, it serves as a robust platform for Headless Commerce and seamless customer experiences. With a suite of specialized services such as Basket and Promotions, our system acts as the backbone for all sales channels, empowering businesses to utilize the full potential of Docker, SWARM, and Kubernetes on platforms like AWS or Azure. Our user-friendly Deployment Tools facilitate cloud setup in mere minutes, allowing you to manage it independently or have us handle it for you. We offer comprehensive and adaptable Omnichannel Order Management and Inventory solutions that cater to various business rules, integrations, and customer journeys, including options like Ship From Store. Move away from traditional monolithic systems; our applications and tools provide the flexibility that enables large retailers to innovate and operate differently. With straightforward configuration and integration, along with the option for self-sufficiency, everything you need is readily available to elevate your business operations to new heights. This flexibility allows retailers to respond quickly to market changes, ensuring they stay competitive in an ever-evolving landscape.

Engaging applications captivate users while motivating developers to innovate. To meet the growing demands of the digital landscape, consider utilizing the DataStax Astra Streaming service platform. This cloud-native platform for messaging and event streaming is built on the robust foundation of Apache Pulsar. With Astra Streaming, developers can create streaming applications that leverage a multi-cloud, elastically scalable architecture. Powered by the advanced capabilities of Apache Pulsar, this platform offers a comprehensive solution that encompasses streaming, queuing, pub/sub, and stream processing. Astra Streaming serves as an ideal partner for Astra DB, enabling current users to construct real-time data pipelines seamlessly connected to their Astra DB instances. Additionally, the platform's flexibility allows for deployment across major public cloud providers, including AWS, GCP, and Azure, thereby preventing vendor lock-in. Ultimately, Astra Streaming empowers developers to harness the full potential of their data in real-time environments.

Spark Streaming extends the capabilities of Apache Spark by integrating its language-based API for stream processing, allowing you to create streaming applications in the same manner as batch applications. This powerful tool is compatible with Java, Scala, and Python. One of its key features is the automatic recovery of lost work and operator state, such as sliding windows, without requiring additional code from the user. By leveraging the Spark framework, Spark Streaming enables the reuse of the same code for batch processes, facilitates the joining of streams with historical data, and supports ad-hoc queries on the stream's state. This makes it possible to develop robust interactive applications rather than merely focusing on analytics. Spark Streaming is an integral component of Apache Spark, benefiting from regular testing and updates with each new release of Spark. Users can deploy Spark Streaming in various environments, including Spark's standalone cluster mode and other compatible cluster resource managers, and it even offers a local mode for development purposes. For production environments, Spark Streaming ensures high availability by utilizing ZooKeeper and HDFS, providing a reliable framework for real-time data processing. This combination of features makes Spark Streaming an essential tool for developers looking to harness the power of real-time analytics efficiently.

TEM actively supports the Spring Cloud open source community and functions as a robust, scalable, and adaptable commercial platform for microservice technology based on components. This platform facilitates a seamless transition of Spring Cloud applications to an elastic microservice architecture without necessitating changes to the code, thereby significantly cutting down on both migration duration and operational expenses. TEM provides comprehensive application hosting services that oversee the complete lifecycle of cloud-native microservice applications. By leveraging TEM, users can easily create, deploy, scale, halt, deactivate, and monitor applications efficiently and securely, all while avoiding the complexities of underlying infrastructure management. Furthermore, TEM allows businesses to transition to the cloud effortlessly and swiftly, maintaining the integrity of their original code, which minimizes the learning curve, drastically lowers operational costs, and enhances overall business performance. In this way, TEM positions itself as a valuable ally for organizations looking to innovate and streamline their cloud operations.

Nussknacker allows domain experts to use a visual tool that is low-code to help them create and execute real-time decisioning algorithm instead of writing code. It is used to perform real-time actions on data: real-time marketing and fraud detection, Internet of Things customer 360, Machine Learning inferring, and Internet of Things customer 360. A visual design tool for decision algorithm is an essential part of Nussknacker. It allows non-technical users, such as analysts or business people, to define decision logic in a clear, concise, and easy-to-follow manner. With a click, scenarios can be deployed for execution once they have been created. They can be modified and redeployed whenever there is a need. Nussknacker supports streaming and request-response processing modes. It uses Kafka as its primary interface in streaming mode. It supports both stateful processing and stateless processing.

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.

Create a reliable and scalable gateway for the swift deployment of your applications worldwide. Seamlessly integrate your dispersed microservices into a unified global application through the use of HTTP load balancing and path-based routing configurations. Streamline the process of launching new regions and scaling operations with API-driven global actions, while ensuring independent fault tolerance for your backend microservices, whether they reside in Azure or elsewhere. Deliver and safeguard your global application near your end users with a robust service supported by Microsoft’s esteemed Global Network infrastructure. Consistently optimize your traffic flow to ensure the most efficient route to your application, enhance service capacity, minimize latency, and boost throughput for users around the globe utilizing edge load balancing and application acceleration techniques. Furthermore, effortlessly oversee domain mapping and manage traffic to your microservice backends through a singular, centralized global dashboard, allowing for greater control and visibility over your distributed architecture. This streamlined approach not only improves performance but also enhances the overall user experience across various regions.

The PivotData microservice provides an efficient solution for integrating self-service analytics and business intelligence reporting into web applications. By utilizing JSON configuration, users can easily set up their data sources to create pivot tables and chart reports via a web API. Acting as an analytics backend, PivotData converts reports defined by the cube model—consisting of dimensions, metrics, and parameters—into database queries. Its reporting engine handles various tasks, including caching, queuing, calculations, managing database connections, and facilitating exports to multiple formats. A standout feature is its ability to render HTML pivot tables, allowing them to be seamlessly displayed on any web page, enhancing user interaction and data comprehension. This microservice not only streamlines reporting processes but also empowers users with the tools they need to visualize their data effectively.

Effx offers an effortless approach to managing and navigating your microservices architecture. No matter if your setup consists of just a couple or a vast number of microservices, effx will monitor and assist you, whether you're using a public cloud, an orchestration system, or an on-premises solution. Handling incidents across a collection of microservices can often be complicated. With effx, you gain valuable context that allows you to pinpoint potential causes of outages in real-time effectively. You've made significant investments to be aware of any production disruptions. Our platform enhances your preparedness by evaluating services based on critical attributes that ensure their operational readiness, ultimately empowering your team to respond swiftly and efficiently.

Solace is a specialist in Event-Driven-Architecture (EDA), with two decades of experience providing enterprises with highly reliable, robust and scalable data movement technology based on the publish & subscribe (pub/sub) pattern. Solace technology enables the real-time data flow behind many of the conveniences you take for granted every day such as immediate loyalty rewards from your credit card, the weather data delivered to your mobile phone, real-time airplane movements on the ground and in the air, and timely inventory updates to some of your favourite department stores and grocery chains, not to mention that Solace technology also powers many of the world's leading stock exchanges and betting houses. Aside from rock solid technology, stellar customer support is one of the biggest reasons customers select Solace, and stick with them.

Establishing a cohesive logging framework is essential for ensuring that log data is both accessible and functional. Unfortunately, many current solutions are inadequate; traditional tools do not cater to the demands of modern cloud APIs and microservices, and they are not evolving at a sufficient pace. Fluentd, developed by Treasure Data, effectively tackles the issues associated with creating a unified logging framework through its modular design, extensible plugin system, and performance-enhanced engine. Beyond these capabilities, Fluentd Enterprise also fulfills the needs of large organizations by providing features such as Trusted Packaging, robust security measures, Certified Enterprise Connectors, comprehensive management and monitoring tools, as well as SLA-based support and consulting services tailored for enterprise clients. This combination of features makes Fluentd a compelling choice for businesses looking to enhance their logging infrastructure.

Facilitates seamless data exchange among components within microservice architectures. When utilized as a communication method for microservices, it not only streamlines integration but also enhances reliability and scalability. The system allows for reading and writing data in nearly real-time, while providing the flexibility to set data throughput and storage durations according to specific requirements. Users can finely configure resources for processing data streams, accommodating anything from small streams of 100 KB/s to more substantial ones at 100 MB/s. Additionally, Yandex Data Transfer enables the delivery of a single stream to various targets with distinct retention policies. Data is automatically replicated across multiple availability zones that are geographically distributed, ensuring redundancy and accessibility. After the initial setup, managing data streams can be done centrally through either the management console or the API, offering convenient oversight. It also supports continuous data collection from diverse sources, including website browsing histories and application logs, making it a versatile tool for real-time analytics. Overall, Yandex Data Streams stands out for its robust capabilities in handling various data ingestion needs across different platforms.

Accelerate the transition from concept to implementation by swiftly launching APIs with secure, low-code development and microservice creation. The Layer7 Live API Creator, which was previously known as CA Live API Creator, can function independently or in conjunction with Layer7 API Management. It allows developers to utilize a visual interface, facilitating quicker API development and microservice generation while enabling the creation of new data schemas or the integration of existing data sources and systems. This tool empowers business users to design APIs without requiring extensive technical expertise. By significantly reducing the time needed to establish data processing systems, it enhances agility. Additionally, the application of reactive logic rules across various data sources simplifies the enforcement of business policies and security measures. The integration of reactive logic is seamlessly ordered, chained, and executed through events and Webhooks, providing opportunities for enhancement and extension using JavaScript or Java. This results in improved data exploration and transaction processing capabilities. Furthermore, Layer7 Live API Creator offers a customizable user interface that is dynamically generated based on the data schema, allowing for a tailored experience that meets specific user needs. Ultimately, this solution not only streamlines API development but also empowers organizations to respond rapidly to changing business demands.

Lura is a high-performance API Gateway framework that is extendable, simple, and stateless, suitable for both cloud-native and on-premises environments. When working with REST APIs, particularly within microservices architectures, consumers often need to interact with backend services that were not originally designed with the user interface in mind. While this approach is beneficial, it can introduce significant complexity and strain on the UI consumers due to the varying sizes and structures of microservices responses. Lura effectively serves as a bridge between clients and source servers, simplifying interactions by delivering only the essential information required by the UI. It aggregates data from multiple sources into singular endpoints, enabling users to group, wrap, transform, and condense responses as needed. Furthermore, the framework offers robust support for a wide range of middlewares and plugins, which can enhance its functionality, including the integration of Oauth authentication and additional security measures. With Lura, developers can streamline their API interactions, significantly reducing overhead for front-end applications.

Pneuron™ allows for seamless connectivity and interaction with a wide variety of assets you possess, can access, and aim to obtain, enabling you to concentrate on deriving value from your data without the hassle of intricate application integrations. Envision a low-code environment where drag-and-drop functionality, microservices, and containers come together within a single platform! Pneuron is designed as a low-code solution that harmonizes various data sources across diverse technologies. This integration enables the orchestration of intricate application workflows, promoting a minimal-touch strategy to enterprise infrastructure. Instead of moving data, it effectively utilizes existing data sources and applications within a complex distributed ecosystem. For enterprises looking to swiftly harness value without disrupting ongoing initiatives, processes, and resources, Pneuron is an ideal choice. The platform's microservices-oriented architecture allows for the rapid connection of various assets into intelligent workflows, making it an essential tool for modern enterprises. By streamlining this process, organizations can enhance their operational efficiency and adapt to the evolving technological landscape more effectively.

Create cloud-native applications designed to streamline business decisions and processes. Red Hat® Process Automation Manager serves as a robust platform for crafting containerized microservices and applications aimed at automating these business functions. It encompasses various technologies, including business process management (BPM), business rules management (BRM), as well as business resource optimization and complex event processing (CEP). Additionally, it features a user experience platform that facilitates the development of interactive user interfaces for process and decision services with minimal coding efforts. This platform equips business users with essential tools for modeling flows and policies, utilizing Business Process Model and Notation (BPMN) models, Decision Model and Notation (DMN) models, and specialized rule languages tailored to specific domains. With a focus on cloud development, users can seamlessly deploy their finished models as containerized microservices on Red Hat OpenShift. Furthermore, it leverages the full power of Drools, a widely recognized open-source rules engine, ensuring flexible and effective automation solutions. Overall, this approach enhances operational efficiency and fosters innovation across various business sectors.

The quickest and simplest method to implement Open Policy Agent (OPA) within Kubernetes, Microservices, or Custom APIs caters to both developers and administrators alike. Are you looking to restrict pipeline access based on on-call personnel? It's straightforward. Do you need to regulate which microservices can interact with PCI data? We've got it covered. Is proving compliance with regulatory standards across your clusters a priority? No problem at all. Styra Declarative Authorization Service is built on open-source foundations and is designed to be declarative, providing you with an efficient OPA control plane to help reduce risks, minimize human errors, and speed up development processes. With an integrated library of policies derived from our OPA project, you can easily implement and tailor authorization policies as code. The pre-running functionality allows you to oversee and validate policy modifications prior to implementation, effectively lowering risks before deployment. Furthermore, the declarative model establishes the desired state to prevent security drift and eliminate potential errors before they arise, ensuring a more secure and reliable operational environment. This comprehensive approach empowers organizations to maintain strict security protocols while streamlining their workflows.

The infrastructure is fully equipped with capabilities built as microservices, which are containerized using Docker and managed through Kubernetes. It offers support for multiple protocols and remains hardware agnostic, allowing seamless connections between any device and various third-party applications. Secure connections are ensured through TLS and DTLS, alongside mutual TLS authentication that utilizes X.509 certificates. The Mainflux software stack encompasses all essential components and microservices needed for developing IoT solutions, projects, or products. This IoT platform is designed to enhance interoperability with existing enterprise applications and other IoT platforms. Furthermore, it supports bidirectional communication with a vast number of devices and gateways, employing diverse open protocols and data formats. The system normalizes messages to simplify integration with the overall infrastructure, promoting efficiency and ease of use. Ultimately, this comprehensive approach fosters a robust environment for innovative IoT applications.

Seneca serves as a toolkit for microservices within the Node.js ecosystem, designed to facilitate the creation of clean and organized code that can be easily scaled and deployed whenever necessary. This toolkit features plugins that manage the essential aspects of your application, allowing you to concentrate on developing the core business logic without the hassle of selecting databases, structuring components, or handling dependencies. You can dive straight into coding, as you express everything through commands that are triggered based on specific properties. The invoking code remains unaware of which command is performing the task, as it simply processes one JavaScript object input and produces another output in an asynchronous manner. If you need to enhance functionality, you can effortlessly add new microservices rather than altering existing ones, promoting a more scalable approach to adapting to evolving requirements without accruing technical debt. Additionally, execution scripts can be utilized to assemble your application in a cohesive manner, providing a structured way to manage its components effectively. This flexibility ensures that your development process remains efficient and straightforward.

JHipster serves as a comprehensive development platform designed for the rapid creation, development, and deployment of contemporary web applications and microservice architectures. It accommodates a variety of frontend technologies, such as Angular, React, and Vue, and also extends support to mobile applications using Ionic and React Native. On the backend, JHipster offers compatibility with Spring Boot (utilizing either Java or Kotlin), Micronaut, Quarkus, Node.js, and .NET frameworks. When it comes to deployment, the platform adheres to cloud-native principles via Docker and Kubernetes, providing deployment options for various environments including AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. The primary objective is to produce a comprehensive and modern web application or microservice architecture equipped with a high-performance and resilient server-side stack, showcasing excellent test coverage. The user interface is designed to be sleek, modern, and mobile-first, utilizing Angular, React, or Vue along with Bootstrap for styling. Moreover, the platform incorporates a powerful workflow for application building through tools like Webpack and Maven or Gradle, ensuring a resilient microservice architecture that remains focused on cloud-native methodologies. This holistic approach ensures that developers have all the resources they need to create scalable and efficient applications.

AWS X-Ray is a powerful tool that assists developers in analyzing and debugging distributed applications in production, particularly those constructed with a microservices architecture. This service enables you to gain insights into the performance of your applications and the services they rely on, helping to pinpoint the root causes of performance-related issues and errors. X-Ray offers a comprehensive view of requests as they move through your application, along with a visual representation of the various components involved. It is applicable for analyzing applications at different stages, whether in development or production, and it can handle everything from straightforward three-tier systems to intricate microservices architectures with thousands of interconnected services. By leveraging X-Ray, teams can enhance their understanding of application behavior, ultimately leading to more efficient troubleshooting and optimization processes.

Macaw serves as an advanced enterprise platform specifically designed to create and enhance applications suited for the digital era. It introduces a distinctive method for upgrading legacy applications, enabling them to leverage containerization and microservices technologies effectively. Additionally, Macaw presents a comprehensive solution that aids enterprises in the design, development, publication, execution, and management of microservices-based applications, all while remaining agnostic to the underlying infrastructure and cloud environments. This platform is ideal for organizations eager to expedite their modernization efforts through a hybrid-cloud approach and the adoption of cloud-native applications. With its array of integrated foundational services, operational features, and seamless Kubernetes integration, Macaw equips users with the essential runtime environment, tools, and services necessary for building, deploying, and overseeing microservices applications. Furthermore, it boasts a variety of core application services that are readily available, including database management, security protocols, messaging systems, and load balancing, facilitating quicker development cycles and streamlined operations. Ultimately, Macaw stands out as a versatile solution for enterprises aiming to thrive in a rapidly evolving technological landscape.

Temporal is an open-source platform designed for the orchestration of microservices, enabling the execution of mission-critical applications at any scale. It ensures that workflows, regardless of their size or complexity, are completed successfully, featuring integrated support for exponential retries and facilitating the definition of compensation logic through native Saga pattern capabilities. Users can specify mechanisms for retries, rollbacks, cleanup actions, and even steps for human intervention in case of errors. The platform allows workflows to be defined using general-purpose programming languages, which offers unparalleled flexibility for creating workflows of varying complexities, especially when contrasted with markup-based domain-specific languages. Temporal also grants comprehensive visibility into workflows that can traverse multiple services, thereby making the orchestration of complex microservices manageable while providing substantial insight into the state of each workflow. This level of visibility stands in stark contrast to ad-hoc orchestration approaches that rely on queues, where tracking the status of workflows becomes nearly impossible. Additionally, Temporal's robust features empower teams to maintain operational resilience and agility, ensuring smoother recovery from failures.

DeployHub is a microservice catalog that tames your microservice implementation by displaying them all in one place. Track deployment details, SBOMs, inventory, consumers, version history, and the teams that support them. We empower cloud-native teams to achieve business agility through a managed approach to a microservice architecture. DeployHub's microservice tracking and versioning is a DevOps breakthrough giving teams a simple way to leverage cloud-native application-level architecture. DeployHub integrates with your CI/CD pipeline. You can start using our free version at deployhub.com. DeployHub is based on the Ortelius.io open source project.

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