Best IT Management Software for Apache Kafka - Page 4

Enterprises running real-time web and mobile apps struggle with latency, bandwidth, and scalability issues, which negatively impact the total cost of ownership as well as the real-time experience of their users. These issues are inherent to the traditional techniques, such as HTTP polling or long polling, employed to achieve real-time communication using web and application servers. To overcome these issues, we created MigratoryData, a real-time messaging technology leveraging the WebSockets standard, streaming data to and from users over persistent WebSocket connections in milliseconds and with minimal traffic overhead. Unlike other real-time messaging technologies, MigratoryData has been designed to scale to a large number of users. It has been benchmarked to stream real-time data to 10 million concurrent users from a single commodity server.

Isovalent Cilium Enterprise enables cloud-native networking, security, and observability. Your cloud-native infrastructure, powered by eBPF. Connect, secure, and observe cloud-native applications in multi-cluster, multi-cloud environments. A highly scalable CNI and a multi-cluster networking solution that offers high-performance load balancing, advanced network policy management, etc. Shifting security to a process behavior instead of packet header enabling. Open source is at the core of Isovalent. We think, innovate, and breathe open source and are fully committed to the principles and values of open source communities. Request a personalized live demo with an Isovalent Cilium Enterprise expert. Engage with the Isovalent sales team to assess an enterprise-grade deployment of Cilium. Step through our interactive labs in a sandbox environment. Advanced application monitoring. Runtime security, transparent encryption, compliance monitoring, and CI/CD & GitOps integration.

It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed. The Zipkin UI also presents a dependency diagram showing how many traced requests went through each application. This can help identify aggregate behavior including error paths or calls to deprecated services.

Baidu Messaging System (BMS) is a distributed and scalable hosting message queue service with high throughputs. It collects massive data from websites, devices, or applications for real-time analysis, such as user browsing, clicks, and searches. BMS is a hosted service based on Apache Kafka. Kafka is a distributed, multi-partition, and multi-replica messaging service. The producer asynchronously interacts with the consumer through the message queue without waiting for each other. Compared with the traditional messaging service. BMS encapsulates the Kafka cluster details and provides them in the form of a hosted service. You can directly use BMS to integrate with massively distributed applications without the consideration of cluster operations and pay-per-use only.

A simpler, more secure way to build fault-tolerant cloud applications, powered by the revolutionary cloud-native DBOS operating system. Based on 3 years of joint MIT-Stanford open source R&D, DBOS revolutionizes cloud-native architecture. DBOS is a cloud-native OS that builds on a relational database to radically simplify today's complex cloud application stacks. DBOS powers DBOS Cloud, a transactional serverless platform that provides fault-tolerance, observability, cyber-resilience, and easy cloud deployment to stateful TypeScript applications. OS services are implemented on top of a distributed DBMS. Built-in transactional, fault-tolerant state management that simplifies the stack, with no need for containers, cluster management, or workflow orchestration. Seamless scaling, high performance, and high availability. Metrics, logs, and traces are stored in SQL-accessible tables. Smaller cyber attack surface, cyberattack self-detection, and cyber-resilience.

Red Hat® Integration is a comprehensive set of integration and messaging technologies to connect applications and data across hybrid infrastructures. It is an agile, distributed, containerized, and API-centric solution. It provides service composition and orchestration, application connectivity and data transformation, real-time message streaming, change data capture, and API management, all combined with a cloud-native platform and toolchain to support the full spectrum of modern application development. Deploy enterprise integration patterns (EIPs) based integrations using 200+ pluggable connectors to connect new and existing data across the hybrid cloud. Create, deploy, monitor, and control APIs throughout their entire lifecycle. With an API-first approach, extend your integrations across hybrid and multi-cloud environments. Develop and manage services in popular container standards, as well as package and deploy lightweight containers in distributed environments.

​Observo AI is an AI-native data pipeline platform designed to address the challenges of managing vast amounts of telemetry data in security and DevOps operations. By leveraging machine learning and agentic AI, Observo AI automates data optimization, enabling enterprises to process AI-generated data more efficiently, securely, and cost-effectively. It reduces data processing costs by over 50% and accelerates incident response times by more than 40%. Observo AI's features include intelligent data deduplication and compression, real-time anomaly detection, and dynamic data routing to appropriate storage or analysis tools. It also enriches data streams with contextual information to enhance threat detection accuracy while minimizing false positives. Observo AI offers a searchable cloud data lake for efficient data storage and retrieval.

​Tenzir is a data pipeline engine specifically designed for security teams, facilitating the collection, transformation, enrichment, and routing of security data throughout its lifecycle. It enables users to seamlessly gather data from various sources, parse unstructured data into structured formats, and transform it as needed. It optimizes data volume, reduces costs, and supports mapping to standardized schemas like OCSF, ASIM, and ECS. Tenzir ensures compliance through data anonymization features and enriches data by adding context from threats, assets, and vulnerabilities. It supports real-time detection and stores data efficiently in Parquet format within object storage systems. Users can rapidly search and materialize necessary data and reactivate at-rest data back into motion. Tension is built for flexibility, allowing deployment as code and integration into existing workflows, ultimately aiming to reduce SIEM costs and provide full control.

100X is an AI-powered platform designed to troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to pinpoint problems and remediate issues. It operates through a multi-step process: connecting to your environment to build a comprehensive knowledge graph, automatically investigating every incoming alert or support ticket, dynamically querying telemetry and connecting signals across systems, isolating specific system issues with supporting evidence, suggesting proven fixes with relevant context, and learning from every resolution by capturing commands, fixes, and failure patterns discovered by your team. 100X integrates with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, and can be deployed within your cloud environment, ensuring data is accessed, processed, and stored entirely within your cloud boundary.

IBM Z System Automation is a NetView-based application that provides a single control point for a full range of system management functions. It plays a crucial role in supplying high-end automation solutions. IBM Z System Automation monitors, controls, and automates an extensive range of system elements spanning your enterprise's hardware and software resources. IBM Z System Automation is a policy-based, self-healing, high-availability solution designed to optimize the efficiency and availability of critical systems and applications. It reduces administrative and operational tasks, customization and programming effort, and automation implementation time and costs associated with Parallel Sysplex and policy-based automation. Using tight integration with Geographically Dispersed Parallel Sysplex (GDPS), IBM Z System Automation provides sophisticated disaster recovery capabilities for IBM Z systems.

The only real-time, analytics-driven multicloud monitoring solution for all environments (formerly SignalFx). Monitor any environment on a massively scalable streaming architecture. Open, flexible data collection and rapid visualizations of services in seconds. Purpose built for ephemeral and dynamic cloud-native environments at any scale (e.g., Kubernetes, container, serverless). Detect, visualize and resolve issues as soon as they arise. Monitor infrastructure performance in real-time at cloud scale through predictive streaming analytics. Over 200 pre-built integrations for cloud services and out-of-the-box dashboards for rapid visualization of your entire stack. Autodiscover, breakdown, group, and explore clouds, services and systems. Quickly and easily understand how your infrastructure behaves across different services, availability zones, Kubernetes clusters and more.

Accelerate your development by using a storage layer that works natively with your Kubernetes environment. Focus on running your application, while we make sure you have the persistent volumes that give you the scale and stability you need. Reduce complexity and increase efficiency in your app modernization journey by truly integrating stateful storage into Kubernetes. Run your database or any persistent workload in a Kubernetes environment without having to worry about managing the storage layer. Ondat gives you the ability to deliver a consistent storage layer across any platform. We give you the persistent volumes to allow you to run your own databases without paying for expensive hosted options. Take back control of your data layer in Kubernetes. Kubernetes-native storage with dynamic provisioning that works as it should. Fully API-driven, tight integration with your containerized applications.