Business Software for New Relic

Deductive AI is an innovative platform that transforms the way organizations address intricate system failures. By seamlessly integrating your entire codebase with telemetry data, which includes metrics, events, logs, and traces, it enables teams to identify the root causes of problems with remarkable speed and accuracy. This platform simplifies the debugging process, significantly minimizing downtime and enhancing overall system dependability. With its ability to integrate with your codebase and existing observability tools, Deductive AI constructs a comprehensive knowledge graph that is driven by a code-aware reasoning engine, effectively diagnosing root issues similar to a seasoned engineer. It rapidly generates a knowledge graph containing millions of nodes, revealing intricate connections between the codebase and telemetry data. Furthermore, it orchestrates numerous specialized AI agents to meticulously search for, uncover, and analyze the subtle indicators of root causes dispersed across all linked sources, ensuring a thorough investigative process. This level of automation not only accelerates troubleshooting but also empowers teams to maintain higher system performance and reliability.

Synergy serves as an AI-driven command center designed for enterprise IT operations, consolidating fragmented monitoring, ticketing, logging, and documentation into a cohesive interface. By continuously integrating data from tools such as Splunk, New Relic, Jira, ServiceNow, and Confluence, it transforms overwhelming alert storms into well-organized, prioritized insights. Its Smart Incident Workflows streamline routine processes, recommend subsequent actions, identify ownership gaps, and expedite resolutions, thereby reducing the average time for detection and repair. Additionally, Synergy’s proactive monitoring capabilities identify potential risks ahead of conventional alerts, highlight error surges and missed escalations, detect emerging trends, and respond to investigative inquiries using natural language. Furthermore, its integrated root cause analysis tracks incidents comprehensively across timelines, logs, metrics, tickets, and post-mortem evaluations, connecting to related events for immediate context and producing succinct summaries to aid in understanding. Overall, Synergy enhances operational efficiency and effectiveness for IT teams, ensuring they remain ahead of potential issues.

Luciq is an advanced mobile observability platform powered by AI, tailored for app developers and enterprises, enabling them to effectively monitor, diagnose, and enhance mobile applications with ease. This comprehensive solution integrates bug reporting, crash analytics, session replay, and performance monitoring within a single SDK that accommodates Android, iOS, web, and hybrid applications. Users can collect extensive device logs, network traces, annotated screenshots, videos, and user feedback, while machine learning automatically correlates events and errors to prioritize issues based on their impact. By offering developers insights into user sessions where problems occurred, they can replicate defects through replay and expedite issue resolution via integrations with tools like JIRA, Slack, Zapier, and Zendesk. Luciq's “Agentic Mobile Observability” methodology not only highlights the most pressing issues but also identifies potential root causes and suggests remediation strategies, empowering teams to boost their efficiency, enhance application stability, and improve the overall user experience. Ultimately, this platform transforms the way teams approach mobile app development and maintenance, ensuring they stay ahead of potential challenges.

The Glassbox digital analytics platform provides cutting-edge digital capabilities that allow you to create better user experiences to drive your business growth. It's more important than ever for businesses to ensure that their mobile apps and websites work well and provide great user experiences. They must also use the data generated by their business to analyze every user session and personalize customer journeys to drive engagement. Engineers need performance analytics in order to measure reliability. Product managers need to know how to increase engagement and conversion rates. Customer service representatives want to know the root cause of an issue so that they can resolve users' problems.

Introducing a versatile, open-source multi-cloud platform for contemporary data applications, built on Apache Cassandra™. Achieve global-scale performance with guaranteed 100% uptime while avoiding vendor lock-in. You have the flexibility to deploy on multi-cloud environments, on-premises infrastructures, or use Kubernetes. The platform is designed to be elastic and offers a pay-as-you-go pricing model to enhance total cost of ownership. Accelerate your development process with Stargate APIs, which support NoSQL, real-time interactions, reactive programming, as well as JSON, REST, and GraphQL formats. Bypass the difficulties associated with managing numerous open-source projects and APIs that lack scalability. This solution is perfect for various sectors including e-commerce, mobile applications, AI/ML, IoT, microservices, social networking, gaming, and other highly interactive applications that require dynamic scaling based on demand. Start your journey of creating modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Leverage REST, GraphQL, and JSON alongside your preferred full-stack framework. This platform ensures that your richly interactive applications are not only elastic but also ready to gain traction from the very first day, all while offering a cost-effective Apache Cassandra DBaaS that scales seamlessly and affordably as your needs evolve. With this innovative approach, developers can focus on building rather than managing infrastructure.

Apica offers a unified platform for efficient data management, addressing complexity and cost challenges. The Apica Ascent platform enables users to collect, control, store, and observe data while swiftly identifying and resolving performance issues. Key features include: *Real-time telemetry data analysis *Automated root cause analysis using machine learning *Fleet tool for automated agent management *Flow tool for AI/ML-powered pipeline optimization *Store for unlimited, cost-effective data storage *Observe for modern observability management, including MELT data handling and dashboard creation This comprehensive solution streamlines troubleshooting in complex distributed systems and integrates synthetic and real data seamlessly

MariaDB Platform is an enterprise-level open-source database solution. It supports transactional, analytical, and hybrid workloads, as well as relational and JSON data models. It can scale from standalone databases to data warehouses to fully distributed SQL, which can execute millions of transactions per second and perform interactive, ad-hoc analytics on billions upon billions of rows. MariaDB can be deployed on prem-on commodity hardware. It is also available on all major public cloud providers and MariaDB SkySQL, a fully managed cloud database. MariaDB.com provides more information.

HSQLDB, or HyperSQL DataBase, stands out as a premier SQL relational database system developed in Java. It boasts a compact, efficient multithreaded transactional engine that accommodates both in-memory and disk-based tables, functioning effectively in embedded and server configurations. Users can take advantage of a robust command-line SQL interface along with straightforward GUI query tools. HSQLDB is distinguished by its comprehensive support for a vast array of SQL Standard features, including the core language components from SQL:2016 and an impressive collection of optional features from the same standard. It provides full support for Advanced ANSI-92 SQL, with only two notable exceptions. Additionally, HSQLDB includes numerous enhancements beyond the Standard, featuring compatibility modes and functionalities that align with other widely used database systems. Its versatility and extensive feature set make it a highly adaptable choice for developers and organizations alike.

Oracle's database offerings provide clients with cost-effective and high-efficiency options, including the renowned multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. The Oracle Autonomous Database, which can be accessed on-premises through Oracle Cloud@Customer or within the Oracle Cloud Infrastructure, allows users to streamline their relational database systems and lessen management burdens. By removing the intricacies associated with operating and securing Oracle Database, Oracle Autonomous Database ensures customers experience exceptional performance, scalability, and reliability. Furthermore, organizations concerned about data residency and network latency can opt for on-premises deployment of Oracle Database. Additionally, clients who rely on specific versions of Oracle databases maintain full authority over their operational versions and the timing of any updates. This flexibility empowers businesses to tailor their database environments according to their unique requirements.

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.

A platform dedicated to fostering transparency. Ensure your users stay informed during service interruptions and maintenance periods. We take great pride in the robustness of our infrastructure. The systems that drive Status.io operate across various regions and service providers. You can align your brand identity using straightforward design tools or fully customize your experience by integrating your own code. We offer comprehensive support for intricate distributed systems and multi-tenant architectures. Our commitment to development means we are continually enhancing our services. With each status page, users can access a distinct API method, allowing API consumers to obtain the latest status information. It seamlessly integrates with services like Librato, New Relic, OpsGenie, PagerDuty, Pingdom, Pingometer, Twitter, and Uptime Robot, ensuring you have all the tools necessary for effective monitoring and communication.

Scalability of websites, apps, and APIs is guaranteed For the always-on enterprise. You can control the bandwidth and ramp of millions or thousands of virtual users around the world and simulate real-world dynamics. Integrate with Dynatrace, New Relic and AppDynamics to drill down and pinpoint the root-cause. You can measure the user experience quality by looking at real browser render times and screenshots as tests are running. You can get feedback in real-time, adjust parameters as you go, and determine the optimal concurrency points, breakage points, and peaks. Consumer expectations are high. Users expect a near instantaneous experience on all devices and at all times. Business and IT leaders must recognize that their mission-critical application stacks are growing and becoming more complex. Visitors are driven away by slow response times, performance bottlenecks, or full-blown website or application failures. This can lead to lost revenue and reputational damage.

Idobata is a dedicated platform designed to enhance team collaboration and software development, making the process enjoyable for developers. Crafted by developers specifically for their peers, it features a lightweight and familiar interface reminiscent of IRC. It seamlessly integrates with the tools widely utilized in the industry. Users can establish Organizations, which consist of various chat rooms tailored to different teams or projects. Members can either have full access to all rooms within an Organization or be restricted to specific chat spaces. Additionally, Idobata allows for the invitation of external users as guests, with customizable access limits to selected rooms. The Timeline view provides a comprehensive overview of all chat rooms across the Organization, ensuring that everyone stays updated. Idobata's webhooks facilitate the easy setup of notifications that connect with other development tools, offering well-crafted alerts for popular platforms like GitHub. You have the flexibility to customize which webhooks are employed for individual projects, and the option to create Custom Webhooks tailored to your specific needs. Moreover, Idobata supports Hubot integration, enabling users to develop and deploy bots that can perform a multitude of tasks within their chat rooms, enhancing overall productivity and efficiency. This innovative approach to team communication truly sets Idobata apart in the realm of software development tools.

Amazon DocumentDB, which is compatible with MongoDB, offers a rapid, scalable, highly reliable, and fully managed solution for document database needs, specifically catering to MongoDB workloads. This service simplifies the storage, querying, and indexing of JSON data, making it an ideal choice for developers. Built from the ground up as a non-relational database, Amazon DocumentDB ensures the performance, scalability, and availability crucial for handling mission-critical MongoDB workloads on a large scale. One of its key features is the separation of storage and compute, which allows each component to scale independently. Users can enhance read capacity to millions of requests per second in a matter of minutes by adding up to 15 low-latency read replicas, irrespective of data volume. Additionally, Amazon DocumentDB is engineered for 99.99% availability, maintaining six copies of data across three different AWS Availability Zones (AZs) to ensure redundancy and reliability. This architecture not only enhances data safety but also significantly improves the overall performance of applications that rely on it.

ConnectALL allows digital initiatives and IT to be aligned to business outcomes. It allows you to capture, visualize and analyze critical indicators of speed, quality, and efficiency in your software delivery value stream. ConnectALL automates the flow of product information throughout the value stream. This helps you to identify waste in people, tools, and processes, and improve cross-functional collaboration. ConnectALL tracks key performance indicators and metrics that drive speed, quality, and cost reductions. This allows you to identify growth opportunities and to understand your competitive advantages to stay ahead of the market. You can quickly identify roadblocks, missed release, bottlenecks, vulnerabilities, and constraints in processes, as well as trace the flow of work. ConnectALL allows you to identify and improve your value stream before it is too late. ConnectALL also offers tool integration and interoperability.

CodeIgniter serves as a versatile Application Development Framework, designed as a toolkit for developers creating websites with PHP. Its primary aim is to accelerate project development significantly compared to coding from the ground up, by offering an extensive array of libraries for frequently required tasks, complemented by a straightforward interface and a logical organization for accessing these resources. This framework encourages a creative focus on your project by reducing the amount of code necessary for various tasks. CodeIgniter prioritizes flexibility, allowing developers to choose their preferred working style without being constrained by rigid structures. Additionally, its core components can be easily modified or entirely substituted to tailor the system to specific needs, making it adaptable to individual projects. Ultimately, CodeIgniter stands out as a customizable framework that seeks to equip you with essential tools while maintaining a non-intrusive presence. Its balance of simplicity and extensibility makes it an appealing choice for many developers.

The Commanders Act Customer Data Platform empowers businesses to boost both sales and customer loyalty by fostering significant connections with their leads and clientele. As the expenses associated with acquiring new customers continue to escalate, conversion rates remain stagnant at around 2.5%-5%. To enhance marketing effectiveness, brands are increasingly gathering valuable data insights—including behavioral, demographic, and psychographic information—from every interaction with leads and customers. This highlights the necessity of collecting comprehensive data from all customer engagements. Additionally, it’s essential to cleanse, standardize, and securely store this information in a centralized database that is readily accessible to all marketing channels and utilized by sales and customer service teams within their CRM systems. To adopt a truly customer-centric approach, marketers must prioritize being data-driven, making it vital for them to access trustworthy data that allows for a thorough evaluation of their marketing strategies and techniques. By harnessing these insights, businesses can tailor their offerings more effectively to meet customer needs.

CentOS Linux is a community-driven distribution that is built from resources made available to the public through Red Hat or CentOS repositories for Red Hat Enterprise Linux (RHEL). Its primary goal is to maintain functional compatibility with RHEL, while the CentOS Project focuses on modifying packages to eliminate any upstream vendor branding and visual elements. CentOS Linux is available at no cost and can be freely redistributed. Each version of CentOS is supported until the corresponding RHEL version reaches the end of its general support lifecycle. New versions of CentOS are released following the rebuilding of new RHEL versions, typically occurring every 6-12 months for minor updates and spanning several years for major releases. The duration of the rebuild process can range from a few weeks for minor updates to several months for significant version changes. This approach ensures that users benefit from a secure, dependable, and easily maintainable Linux environment that remains predictable and reproducible over time, fostering a strong community around its use.

Consider it a temporary memory solution for your applications. Memcached enables you to reallocate memory from areas of your system that have an excess to those that are experiencing a shortfall. While the initial example shows a traditional deployment approach, it is inefficient because the total cache size only represents a small portion of your web farm's true capacity, and maintaining cache consistency across numerous nodes requires significant effort. With memcached, all servers draw from a unified virtual memory pool, simplifying operations. Furthermore, as your application's demand increases, necessitating the addition of more servers, there is typically a corresponding rise in the volume of frequently accessed data. A deployment strategy that allows these two components of your system to scale in tandem is a more logical and efficient approach. This synergy not only optimizes resource use but also enhances overall system performance.

Oracle WebLogic Server serves as a versatile and expandable framework for the creation, deployment, and operation of enterprise applications, including those based on Java, whether on local servers or in cloud environments. This platform delivers a solid, established, and scalable version of Java Enterprise Edition (EE) as well as Jakarta EE. Moreover, Oracle WebLogic Server is fully compatible with Kubernetes, facilitating the migration and development of modern containerized applications equipped with extensive Java services. Additionally, the WebLogic Kubernetes ToolKit is an all-encompassing suite of open-source resources designed to streamline operations on Kubernetes, regardless of whether they are executed on-premises or in the cloud. The integration of Java EE and Jakarta EE offers a formidable set of technologies and APIs aimed at simplifying the development and management of enterprise applications, thereby enhancing productivity and efficiency for developers. This combination not only fosters innovation but also addresses the evolving needs of businesses in a dynamic digital landscape.

tvOS applications can provide breathtaking experiences with exceptional picture quality thanks to 4K resolution, Dolby Vision, and HDR10, coupled with immersive audio powered by Dolby Atmos. The platform also supports Picture in Picture, multiuser functionality, and game controller integration, allowing for even more captivating gaming and interactive adventures. With tvOS, the television experience has been transformed, establishing a groundbreaking TV platform that challenges the traditional limitations of home entertainment. Apple TV now includes a built-in App Store, enhancing its entertainment value significantly. This allows developers to craft stunning and engaging apps and games for the large screen. By utilizing many familiar frameworks, technologies, and concepts akin to those in iOS, such as Metal, UIKit, CloudKit, and Game Center, developers have the tools necessary to design visually impressive games and applications for Apple TV. Additionally, the availability of TVMLKit templates that utilize XML and JavaScript provides a framework for tvOS apps, enabling developers to implement predefined layouts and JavaScript APIs for the efficient creation of aesthetically pleasing applications. This combination of features truly elevates the potential for creativity and innovation in app development on the Apple TV platform.

Welcome to H2, a Java SQL database designed for efficient data management. In its embedded mode, an application can access the database directly within the same Java Virtual Machine (JVM) using JDBC, making it the quickest and simplest connection method available. However, a drawback of this setup is that the database can only be accessed by one virtual machine and class loader at a time. Like other modes, it accommodates both persistent and in-memory databases without restrictions on the number of simultaneous database accesses or open connections. On the other hand, the mixed mode combines features of both embedded and server modes; the initial application that connects to the database operates in embedded mode while simultaneously launching a server to enable other applications in different processes or virtual machines to access the same data concurrently. This allows local connections to maintain the high speed of the embedded mode, whereas remote connections may experience slight delays. Overall, H2 provides a flexible and robust solution for various database needs.

Data is essential to improve the efficiency, profitability, and experience of streaming video. Datazoom allows video publishers to manage distributed architectures more efficiently by centralizing, standardizing and integrating data in real time. This creates a more powerful data pipeline, improves observability and adaptability, as well as optimizing solutions. Datazoom is a video data platform which continuously gathers data from endpoints such as a CDN or video player through an ecosystem of collectors. Once the data has been gathered, it is normalized with standardized data definitions. The data is then sent via available connectors to analytics platforms such as Google BigQuery, Google Analytics and Splunk. It can be visualized using tools like Looker or Superset. Datazoom is your key for a more efficient and effective data pipeline. Get the data you need right away. Do not wait to get your data if you have an urgent issue.

Are you looking to create a marketplace, an online learning platform, or a membership site? Discover a variety of tools, integrations, workflows, and comprehensive guides to kickstart your project. You can explore various applications, identify alternatives, compare features, and provide your feedback. If you're interested in automating repetitive tasks, access a centralized hub for integrations from platforms like Zapier, Integromat, Automateio, and more, allowing you to compare pricing and functionalities. Delve into resources such as guides and tutorials offered by both the community and vendors. Share your expertise and knowledge, and tap into the collaborative spirit of the nocode community. Establish your profile, select your preferred tools, and showcase your tech stack to connect with others. Engaging with this vibrant community can foster innovation and inspire creativity in your endeavors.

Empower your development team to significantly reduce time spent on tasks, streamline processes, and rapidly provide exceptional experiences using Canopy. Establish secure connections to top-tier SaaS platforms, relational databases, spreadsheets, and CSV files. Create new connectors to any dataset within minutes, accommodating internal data, niche and long-tail SaaS applications, as well as intricate integrations. Format your data precisely to suit any action or experience required. Distribute data via your tailored API, implementing the ideal communication and caching methods to ensure peak performance. Instantly monitor, manage, and resolve issues related to your priorities with real-time insights, actions, and controls at your fingertips. Designed to surpass enterprise requirements, Canopy offers unparalleled security, compliance, scalability, and rapid response times, making it an essential tool for modern businesses. With its robust features, Canopy ensures that your team can focus on innovation rather than getting bogged down by operational challenges.