Docker Integrations

View the health status of your applications as a comprehensive indicator of the entire application ecosystem, which includes everything from the physical infrastructure to the middleware and ultimately the user experience. Integrate health metrics across various technologies to gain a clearer picture. Implement proactive monitoring to identify stress points early on. Establish connections between performance metrics and application health status. Ensure that information is readily available to collaborate with other teams. Are you still relying on individual management consoles for each product to oversee your middleware platforms? This complexity is unnecessary. Access all of your middleware technologies through a singular, unified interface. Gather data efficiently without impacting performance. Relate performance metrics to hosts, networks, databases, and application servers. Begin with a small-scale approach and expand as your needs grow. Utilize our packaged solutions to monitor your applications and their underlying technologies in real-time, or create a tailored real-time monitoring system with our high-performance integrated development environment (IDE). This streamlined process can enhance your overall operational efficiency significantly.

Sonatype Lifecycle is a comprehensive SCA tool that integrates into development processes to provide security insights, automate dependency management, and ensure software compliance. It helps teams monitor open-source components for vulnerabilities, automate the remediation of risks, and maintain continuous security through real-time alerts. With its powerful policy enforcement, automated patching, and full visibility of software dependencies, Sonatype Lifecycle allows developers to build secure applications at speed, preventing potential security breaches and improving overall software quality.

Sonatype Nexus Repository is an essential tool for managing open-source dependencies and software artifacts in modern development environments. It supports a wide range of packaging formats and integrates with popular CI/CD tools, enabling seamless development workflows. Nexus Repository offers key features like secure open-source consumption, high availability, and scalability for both cloud and on-premise deployments. The platform helps teams automate processes, track dependencies, and maintain high security standards, ensuring efficient software delivery and compliance across all stages of the SDLC.

Caffe is a deep learning framework designed with a focus on expressiveness, efficiency, and modularity, developed by Berkeley AI Research (BAIR) alongside numerous community contributors. The project was initiated by Yangqing Jia during his doctoral studies at UC Berkeley and is available under the BSD 2-Clause license. For those interested, there is an engaging web image classification demo available for viewing! The framework’s expressive architecture promotes innovation and application development. Users can define models and optimizations through configuration files without the need for hard-coded elements. By simply toggling a flag, users can seamlessly switch between CPU and GPU, allowing for training on powerful GPU machines followed by deployment on standard clusters or mobile devices. The extensible nature of Caffe's codebase supports ongoing development and enhancement. In its inaugural year, Caffe was forked by more than 1,000 developers, who contributed numerous significant changes back to the project. Thanks to these community contributions, the framework remains at the forefront of state-of-the-art code and models. Caffe's speed makes it an ideal choice for both research experiments and industrial applications, with the capability to process upwards of 60 million images daily using a single NVIDIA K40 GPU, demonstrating its robustness and efficacy in handling large-scale tasks. This performance ensures that users can rely on Caffe for both experimentation and deployment in various scenarios.

Darktrace offers a cutting-edge cybersecurity solution with its ActiveAI Security Platform, which utilizes AI to ensure proactive and real-time defense against cyber threats. The platform continually monitors enterprise data, from emails and cloud infrastructure to endpoints and applications, providing a detailed, contextual understanding of the security landscape. Darktrace’s AI-driven system autonomously investigates alerts, correlates incidents, and responds to both known and unknown threats, ensuring that businesses stay one step ahead of adversaries. By automating investigations and recovery actions, Darktrace reduces the burden on security teams and speeds up incident response, driving efficiency and improving cyber resilience. With a significant reduction in containment time and faster SOC triage, Darktrace ensures businesses are better protected from ever-evolving threats.

A comprehensive AIOps solution designed to revolutionize IT operations is at your fingertips. Interlink’s innovative AIOps platform utilizes machine learning to deliver service-focused visibility and actionable insights, significantly enhancing your organization’s resilience against disruptive outages. This all-in-one platform is data-driven and specifically designed to visualize service availability while streamlining IT operations across your entire technology ecosystem. With robust, highly scalable, and security-enhanced solutions that have been validated in some of the world's largest enterprises, Interlink ensures a best-in-class experience. Embrace a flexible approach that allows you to utilize your favorite tools without the worry of vendor lock-in. Our pricing model is low-cost, transparent, and predictable, ensuring a swift return on your investment. Furthermore, we prioritize exceptional support and foster genuine partnerships with our clients for sustained success. By adopting this single-pane-of-glass, service-centric monitoring strategy, you can elevate your DevOps environment to new heights. Ultimately, Interlink's AIOps platform empowers organizations to focus on innovation while maintaining optimal operational efficiency.

Combining "app" (short for application) and "Ujo" (the Esperanto term for "container"), APPUiO.ch represents Switzerland's premier container platform. Utilizing technologies like OpenShift or Rancher, we provide this platform as a managed service across various infrastructures. Recognized as the foremost Kubernetes-based container solution in Switzerland, APPUiO is designed for the efficient design, development, and management of applications. It is built on dependable open-source principles, including Docker and Kubernetes, thereby supporting the DevOps methodology. Automation and self-service capabilities significantly speed up development, deployment, and operational workflows. Additionally, APPUiO fosters enhanced collaboration between software developers and business organizations, ensuring not only a seamless platform experience but also immediate access to experts for support, training, tailored modifications, and application management. The platform is offered in public, managed, or self-managed formats, catering to various user needs and preferences. By providing these versatile options, APPUiO ensures that users can choose the best fit for their operational requirements.

PVS-Studio can detect security flaws in source code of programs written in C++, C#, and Java. It can analyze source code for embedded ARM platforms, 32-bit, 64 bit, and Linux systems.

Commvault Cloud serves as an all-encompassing cyber resilience solution aimed at safeguarding, managing, and restoring data across various IT settings, which include on-premises systems, cloud infrastructures, and SaaS platforms. Utilizing the power of Metallic AI, it boasts cutting-edge functionalities such as AI-enhanced threat detection, automated compliance mechanisms, and accelerated recovery options like Cleanroom Recovery and Cloudburst Recovery. The platform guarantees ongoing data protection through proactive risk assessments, threat identification, and cyber deception tactics, all while enabling smooth recovery and business continuity through infrastructure-as-code automation. By providing a streamlined management interface, Commvault Cloud allows organizations to protect their vital data assets, ensure regulatory compliance, and quickly address cyber threats, which ultimately helps in reducing downtime and minimizing operational interruptions. Additionally, the platform's robust features make it an essential tool for businesses aiming to enhance their overall data security posture in an ever-evolving digital landscape.

Deep.BI empowers enterprises in sectors such as Media, Insurance, E-commerce, and Banking to boost their revenues by predicting distinct user behaviors and automating processes that convert these users into paying customers while ensuring their retention. This predictive customer data platform features a real-time user scoring system supported by Deep.BI's advanced enterprise data warehouse. By utilizing this technology, digital businesses and platforms can enhance their offerings, content, and distribution strategies. The platform gathers comprehensive data regarding product utilization and content engagement, delivering immediate, actionable insights. These insights are produced within moments via the Deep.Conveyor data pipeline and can be analyzed using the Deep.Explorer business intelligence platform, which is further enhanced by the Deep.Score event scoring engine that employs tailored AI algorithms specific to your requirements. Additionally, the insights are primed for automation through the high-speed API and AI model serving capabilities of Deep.Conductor, ensuring rapid and efficient implementation. Ultimately, Deep.BI provides a holistic approach to understanding and optimizing user interactions across various digital platforms.

Discover all the essential tools to construct dependable software with confidence through Chaos Engineering. Take advantage of Gremlin's extensive range of failure scenarios to conduct experiments throughout your entire infrastructure, whether it's bare metal, cloud platforms, containerized setups, Kubernetes, applications, or serverless architectures. You can manipulate resources by throttling CPU, memory, I/O, and disk usage, reboot hosts, terminate processes, and even simulate time travel. Additionally, you can introduce network latency, create blackholes for traffic, drop packets, and simulate DNS failures. Ensure your code is resilient by testing for potential failures and delays in serverless functions. Furthermore, you have the ability to limit the effects of these experiments to specific users, devices, or a certain percentage of traffic, enabling precise assessments of your system's robustness. This approach allows for a thorough understanding of how your software reacts under various stress conditions.

Supported application servers for production or containerized deployments that are compatible with Jakarta EE & MicroProfile

AWS Fargate serves as a serverless compute engine tailored for containerization, compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). By utilizing Fargate, developers can concentrate on crafting their applications without the hassle of server management. This service eliminates the necessity to provision and oversee servers, allowing users to define and pay for resources specific to their applications while enhancing security through built-in application isolation. Fargate intelligently allocates the appropriate amount of compute resources, removing the burden of selecting instances and managing cluster scalability. Users are billed solely for the resources their containers utilize, thus avoiding costs associated with over-provisioning or extra servers. Each task or pod runs in its own kernel, ensuring that they have dedicated isolated computing environments. This architecture not only fosters workload separation but also reinforces overall security, greatly benefiting application integrity. By leveraging Fargate, developers can achieve operational efficiency alongside robust security measures, leading to a more streamlined development process.

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.

VMware Workstation Pro is recognized as the leading solution for operating multiple virtual machines (VMs) on a single computer running either Linux or Windows. It is a go-to tool for IT professionals, developers, and organizations involved in creating, testing, or showcasing software across various devices, platforms, or cloud environments. With VMware Workstation Pro, users can simultaneously operate multiple operating systems on their Windows or Linux systems. The software enables the creation of authentic VMs for Linux and Windows, along with other desktop, server, and tablet environments, all equipped with customizable virtual networking and the ability to simulate different network conditions. This makes it ideal for a wide range of activities, including code development, architectural planning, application testing, and product demonstrations. Moreover, users can securely connect to vSphere, ESXi, or other Workstation servers, facilitating the management and control of both virtual machines and physical hosts. A unified VMware hypervisor not only enhances productivity but also simplifies the process of transferring VMs to and from local PCs, making it a versatile tool for professionals. Overall, VMware Workstation Pro stands out as an essential resource in the toolkit of anyone needing to work within virtualized environments.

Uncover, categorize, and safeguard your sensitive information with Nightfall™, which leverages machine learning technology to detect essential business data, such as customer Personally Identifiable Information (PII), across your SaaS platforms, APIs, and data systems, enabling effective management and protection. With the ability to integrate quickly through APIs, you can monitor your data effortlessly without the need for agents. Nightfall’s machine learning capabilities ensure precise classification of sensitive data and PII, ensuring comprehensive coverage. You can set up automated processes for actions like quarantining, deleting, and alerting, which enhances efficiency and bolsters your business’s security. Nightfall seamlessly connects with all your SaaS applications and data infrastructure. Begin utilizing Nightfall’s APIs for free to achieve sensitive data classification and protection. Through the REST API, you can retrieve organized results from Nightfall’s advanced deep learning detectors, identifying elements such as credit card numbers and API keys, all with minimal coding. This allows for a smooth integration of data classification into your applications and workflows utilizing Nightfall's REST API, setting a foundation for robust data governance. By employing Nightfall, you not only protect your data but also empower your organization with enhanced compliance capabilities.

Take control of your open-source software management. Your organization can manage open source software (OSS), and third-party components. FlexNet Code Insight assists development, legal, and security teams to reduce open-source security risk and ensure license compliance using an end-to-end solution. FlexNet Code Insight provides a single integrated solution to open source license compliance. Identify vulnerabilities and mitigate them while you are developing your products and throughout their lifecycle. You can manage open source license compliance, automate your processes, and create an OSS strategy that balances risk management and business benefits. Integrate with CI/CD, SCM tools, and build tools. Or create your own integrations with the FlexNet CodeInsight REST API framework. This will make code scanning simple and efficient.

PARASOFT SOATEST Artificial Intelligence and Machine Learning Power APIs and Web Service Testing Tools Parasoft SOAtest is based on artificial intelligence (AI), machine learning (ML), and simplifies functional testing across APIs and UIs. The API and web service testing tool is perfect for Agile DevOps environments because it uses continuous quality monitoring systems to monitor the quality of change management systems. Parasoft SOAtest is a fully integrated API and web-service testing tool that automates end-to-end functional API test automation. Automated testing is simplified with advanced functional test-creation capabilities. This applies to applications with multiple interfaces (REST and SOAP APIs as well as microservices, databases, etc.). These tools reduce security breaches and performance issues by turning functional testing artifacts in security and load equivalents. This allows for faster and more efficient testing, while also allowing continuous monitoring of API changes.

Seeker® is an advanced interactive application security testing (IAST) tool that offers exceptional insights into the security status of your web applications. It detects trends in vulnerabilities relative to compliance benchmarks such as OWASP Top 10, PCI DSS, GDPR, CAPEC, and CWE/SANS Top 25. Moreover, Seeker allows security teams to monitor sensitive information, ensuring it is adequately protected and not inadvertently recorded in logs or databases without the necessary encryption. Its smooth integration with DevOps CI/CD workflows facilitates ongoing application security assessments and validations. Unlike many other IAST tools, Seeker not only uncovers security weaknesses but also confirms their potential for exploitation, equipping developers with a prioritized list of verified issues that need attention. Utilizing its patented techniques, Seeker efficiently processes a vast number of HTTP(S) requests, nearly eliminating false positives and fostering increased productivity while reducing business risks. In essence, Seeker stands out as a comprehensive solution that not only identifies but also mitigates security threats effectively.

Customizable tables equipped with detailed controls enable your internal team to access, perform full-text searches, modify, remove, and add data entries within your systems. These adaptable tables support comprehensive viewing and searching, allowing users to quickly locate all occurrences of specific words, numbers, or dates within the dataset. You can effortlessly import or export CSV files to streamline data management and access. Additionally, you can rearrange and edit table columns to design layouts that best fit the needs of your team. The process for adding and updating records is straightforward and user-friendly. As demonstrated below, the configuration options are flexible, and we offer a software development kit (SDK) to facilitate data validation. Furthermore, you can merge data from various systems to generate robust unified views of customers, transactions, or other entities using our intuitive drag-and-drop builder. This builder allows you to create custom views while also enabling the triggering of external webhooks, inline field editing, and integration with VOIP services for enhanced functionality. Through these features, your organization can effectively manage and analyze data like never before.

When engaging in profiling, obtaining the most effective tool is essential, yet you also wish to avoid spending excessive time mastering it. JProfiler strikes the perfect balance between simplicity and power, making it an ideal choice. Setting up sessions is easy, and the integration with third-party tools facilitates a smooth start while presenting profiling data in an intuitive manner. JProfiler has been meticulously crafted at every level to assist you in addressing your challenges efficiently. Performance issues in business applications often stem from database calls, and JProfiler's JDBC and JPA/Hibernate probes, along with NoSQL probes for MongoDB, Cassandra, and HBase, pinpoint the causes of sluggish database access and identify how slow statements are invoked by your code. The tool offers a JDBC timeline view that illustrates all JDBC connections and their activities, a hot spots view that highlights slow statements, various telemetry views, and a compilation of individual events, all aimed at enhancing your troubleshooting capabilities. By utilizing JProfiler, you can significantly streamline the process of identifying and resolving performance bottlenecks in your applications.

OWASP ZAP, which stands for Zed Attack Proxy, is a freely available, open-source tool for penetration testing, managed by the Open Web Application Security Project (OWASP). This tool is specifically crafted for evaluating web applications, offering both flexibility and extensibility to its users. At its foundation, ZAP operates as a "man-in-the-middle proxy," allowing it to sit between the user's browser and the web application, enabling the interception and inspection of communications exchanged between the two, with the option to modify the content before relaying it to its final destination. It can function independently as a standalone application or run as a daemon process in the background. ZAP caters to various experience levels, making it suitable for developers, novices in security testing, and seasoned security testing professionals alike. Furthermore, it is compatible with major operating systems and Docker, ensuring users are not restricted to a single platform. Users can also enhance their ZAP experience by accessing additional features through a variety of add-ons found in the ZAP Marketplace, which can be conveniently accessed directly within the ZAP client. The continuous updates and community support further contribute to its robustness as a security testing solution.

Gilhari is a microservice framework that provides persistence for JSON objects in relational database. This microservice framework is available as a Docker image and can be configured according to an app-specific object or relational model. Gilhari exposes REST (Representational State Transfer) interface for APIs (POST/GET, PUT and DELETE ) to perform CRUD (Create. Retrieve. Update. Delete) operations on app-specific JSON objects. Here are some highlights from Gilhari: * Metadata driven, object model independent and database agnostic framework * Easily customizable/configurable to your JSON object model * JSON attributes can be mapped to table columns, allowing full query capabilities as well as optimizations * Supports complex object modeling, including 1-m, 1-m and m-m relationships * No code is required to handle REST APIs (POST/GET, PUT/DELETE), data exchange (CRUD), or database schema creation.

Kickstart your blockchain venture with OpenDAX, where we streamline your entry and facilitate your expansion through reliable technology, robust security, and comprehensive liquidity and market-making services tailored to the evolving demands of the blockchain ecosystem. Our full-service SaaS blockchain solutions can help you launch your project efficiently, while we also specialize in crafting bespoke enterprise blockchain solutions. We empower blockchain developers by providing essential components, tools, and resources to support their endeavors. Concentrate on your business objectives and choose between a fully managed solution or access to a complete open-source codebase to train your own in-house development team. The OpenDAX stack is designed with a keen focus on business requirements and a commitment to a holistic development culture. Stay ahead of the rapid changes in the blockchain market by defining your strategy and rolling out products while they’re still relevant. By joining our truly decentralized, community-driven global liquidity market, you can navigate any financial barriers and seize new opportunities. With OpenDAX, you're not just launching a project; you're becoming part of a vibrant ecosystem where innovation thrives.

Keep a close eye on your data health and the performance of your pipelines. Achieve comprehensive oversight for pipelines utilizing cloud-native technologies such as Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. This observability platform is specifically designed for Data Engineers. As the challenges in data engineering continue to escalate due to increasing demands from business stakeholders, Databand offers a solution to help you keep pace. With the rise in the number of pipelines comes greater complexity. Data engineers are now handling more intricate infrastructures than they ever have before while also aiming for quicker release cycles. This environment makes it increasingly difficult to pinpoint the reasons behind process failures, delays, and the impact of modifications on data output quality. Consequently, data consumers often find themselves frustrated by inconsistent results, subpar model performance, and slow data delivery. A lack of clarity regarding the data being provided or the origins of failures fosters ongoing distrust. Furthermore, pipeline logs, errors, and data quality metrics are often gathered and stored in separate, isolated systems, complicating the troubleshooting process. To address these issues effectively, a unified observability approach is essential for enhancing trust and performance in data operations.

Mayhem is an innovative fuzz testing platform that integrates guided fuzzing with symbolic execution, leveraging a patented technology developed at CMU. This sophisticated solution significantly minimizes the need for manual testing by autonomously detecting and validating defects in software. By facilitating the delivery of safe, secure, and reliable software, it reduces the time, cost, and effort typically required. One of Mayhem's standout features is its capability to gather intelligence about its targets over time; as its understanding evolves, it enhances its analysis and maximizes overall code coverage. Every vulnerability identified is an exploitable and confirmed risk, enabling teams to prioritize their efforts effectively. Furthermore, Mayhem aids in remediation by providing comprehensive system-level insights, including backtraces, memory logs, and register states, which expedite the diagnosis and resolution of issues. Its ability to generate custom test cases in real-time, based on target feedback, eliminates the need for any manual test case creation. Additionally, Mayhem ensures that all generated test cases are readily accessible, making regression testing not only effortless but also a continuous and integral part of the development process. This seamless integration of automated testing and intelligent feedback sets Mayhem apart in the realm of software quality assurance.

Akamai Guardicore Segmentation streamlines the segmentation process, minimizing your attack surface and hindering lateral movement through efficient and straightforward segmentation applicable across all environments. It offers granular visibility and control for data centers, cloud, and hybrid cloud setups. The Akamai Guardicore Segmentation Platform stands out as the easiest and most user-friendly solution for monitoring activities in both data center and cloud settings, allowing for the implementation of accurate segmentation policies, safeguarding against external threats, and swiftly identifying potential breaches. By utilizing a combination of agent-based sensors, network data collectors, and virtual private cloud (VPC) flow logs from various cloud providers, Akamai Guardicore Segmentation gathers comprehensive insights into an organization’s IT framework. Furthermore, this platform enhances the collected data with relevant context through a flexible and automated labeling system that integrates seamlessly with existing data sources, including orchestration tools and configuration management databases, ensuring a holistic view of security across the entire infrastructure. This capability not only strengthens security posture but also facilitates compliance with industry regulations.

Centurion is a deployment tool specifically designed for Docker, facilitating the retrieval of containers from a Docker registry to deploy them across a network of hosts while ensuring the appropriate environment variables, host volume mappings, and port configurations are in place. It inherently supports rolling deployments, simplifying the process of delivering applications to Docker servers within our production infrastructure. The tool operates through a two-stage deployment framework, where the initial build process pushes a container to the registry, followed by Centurion transferring the container from the registry to the Docker fleet. Integration with the registry is managed via the Docker command line tools, allowing compatibility with any existing solutions they support through conventional registry methods. For those unfamiliar with registries, it is advisable to familiarize yourself with their functionality prior to deploying with Centurion. The development of this tool is conducted openly, welcoming community feedback through issues and pull requests, and is actively maintained by a dedicated team at New Relic. Additionally, this collaborative approach ensures continuous improvement and responsiveness to user needs.

The latest iterations of Docker feature swarm mode, which allows for the native management of a cluster known as a swarm, composed of multiple Docker Engines. Using the Docker CLI, one can easily create a swarm, deploy various application services within it, and oversee the swarm's operational behaviors. The Docker Engine integrates cluster management seamlessly, enabling users to establish a swarm of Docker Engines for service deployment without needing any external orchestration tools. With a decentralized architecture, the Docker Engine efficiently manages node role differentiation at runtime rather than at deployment, allowing for the simultaneous deployment of both manager and worker nodes from a single disk image. Furthermore, the Docker Engine adopts a declarative service model, empowering users to specify the desired state of their application's service stack comprehensively. This streamlined approach not only simplifies the deployment process but also enhances the overall efficiency of managing complex applications.

Utilize the advanced container operating system to deploy and oversee your containers effectively. By leveraging immutable infrastructure, you can seamlessly deploy and scale your applications that are containerized. Project Atomic consists of several components, including Atomic Host, Team Silverblue, and a suite of container management tools designed for cloud-native environments. Atomic Host enables the establishment of immutable infrastructure across numerous servers, whether in a private or public cloud setting. With options such as Fedora Atomic Host, CentOS Atomic Host, and Red Hat Atomic Host, users can select the edition that best meets their platform and support requirements. To accommodate both stability and the introduction of new features, we offer various releases of Atomic Host for your selection. Additionally, Team Silverblue is dedicated to providing a consistent and immutable infrastructure for an enhanced desktop experience, ensuring that users enjoy a reliable and up-to-date system. This multifaceted approach allows for flexibility in how you manage your containerized applications across different environments.

Kubernetes can be run in production using the #1 Kubernetes platform. It offers persistent storage, backup, data security, capacity management, and DR. You can easily backup, restore, and migrate Kubernetes applications to any cloud or data centre. Portworx Enterprise Storage Platform provides end-to-end storage, data management, and security for all Kubernetes projects. This includes container-based CaaS and DBaaS as well as SaaS and Disaster Recovery. Container-granular storage, disaster recovery and data security will all be available to your apps. Multi-cloud migrations are also possible. You can easily solve enterprise requirements for Kubernetes data service. Your users can easily access a cloud-like DbaaS without losing control. Operational complexity is eliminated by scaling the backend data services that power your SaaS app. With a single command, add DR to any Kubernetes application. All your Kubernetes apps can be easily backed up and restored.

CloudMonitor is a service that gathers monitoring metrics for Alibaba Cloud resources as well as custom metrics tailored to your needs. This tool is designed to help you assess the availability of your services and enables you to configure alarms for specific performance indicators. With CloudMonitor, you can gain insights into the utilization of cloud resources, along with the overall health and status of your business, which empowers you to respond quickly when an alarm goes off to maintain application availability. The setup process requires no coding, allowing you to establish CloudMonitor and configure alarms easily through a user-friendly wizard in just a few steps. You have the flexibility to create alarms for various scenarios and can choose from multiple notification methods. This all-encompassing service not only tracks fundamental resources and application performance but also caters to unique business metrics, facilitating the management of cloud resources across different applications organized by groups for better oversight. Overall, CloudMonitor helps ensure that you stay informed and proactive in managing the health of your cloud infrastructure.

Eclipse Che simplifies Kubernetes development for teams by offering one-click workspaces and removing the need for local environment setups for everyone involved. This platform seamlessly integrates your Kubernetes applications into the development environment while providing an in-browser IDE that lets you code, build, test, and deploy applications in the same manner they operate in production, all from any device. With Eclipse Che running in containers, all developer tools, the IDE, and its plugins operate as containerized services. You can forget about the hassles of configuration, dependency installation, or maintenance since everything is conveniently packaged within the container. Additionally, Che enables the creation of a unified configuration for your team's development environments and technology stacks. The web-based IDE, built on Eclipse Theia, offers a VSCode-like experience while incorporating the latest tooling protocols to enhance productivity and collaboration. This comprehensive solution ultimately streamlines workflows and fosters better communication among team members.

Sphere 3D’s Glassware 2.0 platform is designed for simplicity, adaptability, and scalability, effectively removing the complicated processes involved in creating, executing, and managing application hosting environments, thereby providing secure and scalable server-based computing advantages to everyone. By separating the application from the underlying operating system, Glassware 2.0 enhances the longevity of applications. It has the capability to virtualize Microsoft Windows applications in 16, 32, and 64-bit formats*, delivering them with native performance to a wide range of end-user devices such as Chromebooks, Windows 10 systems, iPads, thin clients, and various tablets. Employing a container-based strategy for application virtualization on servers, Glassware 2.0 also features a remote presentation functionality that guarantees smooth application delivery to end-user devices. In contrast to hypervisor-based methods, Glassware 2.0 ensures that the application’s host operating system is never installed on the server, streamlining the entire process. This innovative approach not only simplifies deployment but also enhances user experience across multiple platforms.

Leverage the capabilities of biomedical data through the Polly Platform, which is designed to enhance the scalability of batch jobs, workflows, coding environments, and visualization tools. By facilitating resource pooling, Polly optimally allocates resources according to your specific usage needs and leverages spot instances whenever feasible. This functionality contributes to increased optimization, improved efficiency, quicker response times, and reduced costs associated with resource utilization. Additionally, Polly provides a real-time dashboard for monitoring resource consumption and expenses, effectively reducing the burden of resource management on your IT department. An essential aspect of Polly's framework is its commitment to version control, ensuring that your workflows and analyses maintain consistency through a strategic combination of dockers and interactive notebooks. Furthermore, we've implemented a system that enables seamless co-existence of data, code, and the computing environment, enhancing collaboration and reproducibility. With cloud-based data storage and project sharing capabilities, Polly guarantees that every analysis you conduct can be reliably reproduced and verified. Thus, Polly not only optimizes your workflow but also fosters a collaborative environment for continuous improvement and innovation.

Designed specifically for handling super large-scale graphs with latency measured in milliseconds, this graph database continues to engage with the community for its preparation, promotion, and popularization. Nebula Graph ensures that access is secured through role-based access control, allowing only authenticated users. The database supports various types of storage engines and its query language is adaptable, enabling the integration of new algorithms. By providing low latency for both read and write operations, Nebula Graph maintains high throughput, effectively simplifying even the most intricate data sets. Its shared-nothing distributed architecture allows for linear scalability, making it an efficient choice for expanding businesses. The SQL-like query language is not only user-friendly but also sufficiently robust to address complex business requirements. With features like horizontal scalability and a snapshot capability, Nebula Graph assures high availability, even during failures. Notably, major internet companies such as JD, Meituan, and Xiaohongshu have successfully implemented Nebula Graph in their production environments, showcasing its reliability and performance in real-world applications. This widespread adoption highlights the database's effectiveness in meeting the demands of large-scale data management.

Cayley is an open-source database tailored for Linked Data, drawing inspiration from the graph database that supports Google's Knowledge Graph, previously known as Freebase. This graph database is crafted for user-friendliness and adept at handling intricate data structures, featuring an integrated query editor, a visualizer, and a Read-Eval-Print Loop (REPL). It supports various query languages, including Gizmo, which is influenced by Gremlin, a GraphQL-like query language, and MQL, a streamlined version catering to Freebase enthusiasts. Cayley's modular architecture allows seamless integration with preferred programming languages and backend storage solutions, making it production-ready, thoroughly tested, and utilized by numerous companies for their operational tasks. Additionally, it is optimized for application use, demonstrating impressive performance metrics; for instance, testing has shown that it can effortlessly manage 134 million quads in LevelDB on consumer-grade hardware from 2014, with multi-hop intersection queries—such as finding films featuring both X and Y—executing in about 150 milliseconds. By default, Cayley is set up to operate in-memory, which is what the backend memstore refers to, thereby enhancing its speed and efficiency for data retrieval and manipulation. Overall, Cayley offers a powerful solution for those looking to leverage linked data in their applications.

AnzoGraph DB boasts an extensive array of analytical features that can significantly improve your analytical framework. Check out this video to discover how AnzoGraph DB operates as a Massively Parallel Processing (MPP) native graph database specifically designed for data harmonization and analytics. This horizontally scalable graph database is optimized for online analytics and tackling data harmonization issues. Addressing challenges related to linked data, AnzoGraph DB stands out as a leading analytical graph database in the market. It offers robust online performance suitable for enterprise-scale graph applications, ensuring efficiency and speed. AnzoGraph DB employs familiar SPARQL*/OWL for semantic graphs, while also accommodating Labeled Property Graphs (LPGs). Its vast array of analytical, machine learning, and data science tools empowers users to uncover new insights at remarkable speed and scale. By prioritizing context and relationships among data, you can enhance your analysis significantly. Additionally, the database enables ultra-fast data loading and execution of analytical queries, making it an invaluable asset for any data-driven organization.

To fully appreciate the significance of ever-changing business data, it is essential to grasp the intricate connections within that data on a deeper level. In contrast to traditional databases, a graph database prioritizes these relationships, employing Graph theory and Linear Algebra to navigate and illustrate the interconnections among complex data networks, sources, and points. The TIBCO® Graph Database empowers users to uncover, store, and transform intricate dynamic data into actionable insights. This platform enables users to swiftly create data and computational models that foster dynamic interactions across various organizational silos. By leveraging knowledge graphs, organizations can derive immense value by linking their diverse data assets and uncovering relationships that enhance the optimization of resources and workflows. Furthermore, the combination of OLTP and OLAP capabilities within a single, robust enterprise database provides a comprehensive solution. With optimistic ACID transaction properties integrated alongside native storage and access, businesses can confidently manage their data-driven operations. Ultimately, this advanced technology not only simplifies data management but also paves the way for innovative decision-making processes.

Centreon is a global provider for business-aware IT monitoring to ensure high performance and continuous operations. The company's AIOps-ready platform, which is holistic and ready for use in today's complex hybrid cloud infrastructures, is designed to meet the needs of these distributed clouds. Centreon monitors all aspects of the IT Infrastructure, from Cloud-to Edge for a clear and comprehensive view. Centreon eliminates blind spots by monitoring all equipment, middleware, and applications that are part modern IT workflows. This includes legacy assets on-premise, private and public clouds, and all the way to edge of the network where smart devices and customers come together to create business value. Centreon is always up-to-date and can support even the most dynamic environments. It has auto-discovery capabilities that allow it to keep track of Software Defined Network (SDN), AWS or Azure cloud assets and Wi-Fi access points, as well as any other component of today’s agile IT infrastructure.

Bosun is a monitoring and alerting solution released under the MIT license by Stack Exchange, designed to be open-source. It features a powerful domain-specific language that allows users to evaluate alerts and generate comprehensive notifications. The system enables users to test their alerts against historical data, thereby streamlining the development process significantly. Its flexible expression language facilitates precise evaluation of time series data, allowing for meticulous monitoring. By leveraging historical data for testing alerts, users can minimize alert fatigue and ensure only relevant notifications are triggered when the system goes live. Bosun is compatible with various operating systems, including Linux, Windows, and Mac, as well as any OS supported by Go. The system supports arbitrary dimensions beyond just host-based metrics, offers aggregation capabilities, and automatically integrates new tags as they become available. Additionally, Scollector identifies new services autonomously and begins transmitting metrics without delay, which means that well-designed alerts can extend to these new services with reduced administrative effort. Finally, users can employ the Scollector agent to monitor not only Windows and Linux systems but also a range of common applications, ensuring comprehensive coverage across their infrastructure.

Tokern offers an open-source suite designed for data governance, specifically tailored for databases and data lakes. This user-friendly toolkit facilitates the collection, organization, and analysis of metadata from data lakes, allowing users to execute quick tasks via a command-line application or run it as a service for ongoing metadata collection. Users can delve into aspects like data lineage, access controls, and personally identifiable information (PII) datasets, utilizing reporting dashboards or Jupyter notebooks for programmatic analysis. As a comprehensive solution, Tokern aims to enhance your data's return on investment, ensure compliance with regulations such as HIPAA, CCPA, and GDPR, and safeguard sensitive information against insider threats seamlessly. It provides centralized management for metadata related to users, datasets, and jobs, which supports various other data governance functionalities. With the capability to track Column Level Data Lineage for platforms like Snowflake, AWS Redshift, and BigQuery, users can construct lineage from query histories or ETL scripts. Additionally, lineage exploration can be achieved through interactive graphs or programmatically via APIs or SDKs, offering a versatile approach to understanding data flow. Overall, Tokern empowers organizations to maintain robust data governance while navigating complex regulatory landscapes.

Establish your Kubernetes infrastructure and utilize KubeGrid for the seamless deployment, monitoring, and optimization of potentially thousands of clusters. KubeGrid streamlines the complete lifecycle management of Kubernetes across both on-premises and cloud environments, allowing developers to effortlessly deploy, manage, and update numerous clusters. As a Platform as Code solution, KubeGrid enables you to declaratively specify all your Kubernetes needs in a code format, covering everything from your on-prem or cloud infrastructure to the specifics of clusters and autoscaling policies, with KubeGrid handling the deployment and management automatically. While most infrastructure-as-code solutions focus solely on provisioning, KubeGrid enhances the experience by automating Day 2 operations, including monitoring infrastructure, managing failovers for unhealthy nodes, and updating both clusters and their operating systems. Thanks to its innovative approach, Kubernetes excels in the automated provisioning of pods, ensuring efficient resource utilization across your infrastructure. By adopting KubeGrid, you transform the complexities of Kubernetes management into a streamlined and efficient process.

MLflow is an open-source suite designed to oversee the machine learning lifecycle, encompassing aspects such as experimentation, reproducibility, deployment, and a centralized model registry. The platform features four main components that facilitate various tasks: tracking and querying experiments encompassing code, data, configurations, and outcomes; packaging data science code to ensure reproducibility across multiple platforms; deploying machine learning models across various serving environments; and storing, annotating, discovering, and managing models in a unified repository. Among these, the MLflow Tracking component provides both an API and a user interface for logging essential aspects like parameters, code versions, metrics, and output files generated during the execution of machine learning tasks, enabling later visualization of results. It allows for logging and querying experiments through several interfaces, including Python, REST, R API, and Java API. Furthermore, an MLflow Project is a structured format for organizing data science code, ensuring it can be reused and reproduced easily, with a focus on established conventions. Additionally, the Projects component comes equipped with an API and command-line tools specifically designed for executing these projects effectively. Overall, MLflow streamlines the management of machine learning workflows, making it easier for teams to collaborate and iterate on their models.

Keyfactor Command for IoT is an end-to-end identity management solution that ensures the security and compliance of connected devices. By automating the process of provisioning, managing, and revoking device certificates, the platform helps businesses secure IoT devices throughout their entire lifecycle. With support for over-the-air provisioning and real-time visibility into device identity statuses, businesses can easily track and monitor their IoT deployments. Whether for automotive, medical devices, or industrial IoT, Keyfactor Command for IoT provides the tools needed to maintain a trusted, scalable IoT infrastructure. It integrates seamlessly with major IoT platforms, enhancing security with features like automated certificate renewal, revocation, and crypto-agility. This ensures that IoT systems remain secure, adaptable, and compliant with industry standards.

Enhance both productivity and security through the most sophisticated cloud solutions tailored for content management and collaboration. Trust Synergy to fulfill your IT support demands, offering a range from basic support to high-end services that feature round-the-clock assistance, a dedicated help desk for both Synergy and Office, engineering expertise, and strategic consulting. This system is meticulously crafted to comply with rigorous security and regulatory standards, particularly those relevant to sectors like financial services, legal firms, and consulting agencies. Utilizing cloud-native technologies such as Docker and Kubernetes, it ensures a cloud-agnostic infrastructure that seamlessly operates across both public and private cloud environments. You can securely store your documents and collaborate from any location, benefiting from advanced functionalities such as version control, straightforward sharing options, and robust search capabilities. Moreover, manage, track, and refine all your projects within a unified platform where discussions lead to actionable outcomes, timelines are adhered to, tasks are delegated appropriately, and all participants maintain clarity regarding their responsibilities and progress. This holistic approach not only boosts efficiency but also fosters a more cohesive work environment.

Boards serves as a visual collaboration platform that enables users to organize, manage, and share countless files and notes with their colleagues. It is an ideal solution whether you're aiming to present the latest website design to a client or gather creative concepts for an event like a wedding. The inception of this project arose from our team’s desire to easily share and provide feedback on the numerous designs we create for both our products and our clients. Our goal was to develop a straightforward and open-source tool that would enhance the sharing and commenting process. Recognizing the need for a visual interface, we worked towards ensuring that various file types could be previewed effectively, which eventually led to the creation of FilePreviews. Boards marked one of our initial offerings in the "single page app" format, and we focused on designing a visually appealing interface that is not only fast but also intuitive, while still delivering extensive functionality. The development of Boards has significantly improved our collaborative efforts and streamlined communication among team members.

Our security controls, driven by data science, facilitate the automation of advanced threat detection, remediation, and response. Gurucul’s Unified Security and Risk Analytics platform addresses the crucial question: Is anomalous behavior truly a risk? This unique capability sets us apart in the industry. We prioritize your time by avoiding alerts related to non-risky anomalous activities. By leveraging context, we can accurately assess whether certain behaviors pose a risk, as understanding the context is essential. Merely reporting what is occurring lacks value; instead, we emphasize notifying you when a genuine threat arises, which exemplifies the Gurucul advantage. This actionable information empowers your decision-making. Our platform effectively harnesses your data, positioning us as the only security analytics provider capable of seamlessly integrating all your data from the outset. Our enterprise risk engine can absorb data from various sources, including SIEMs, CRMs, electronic medical records, identity and access management systems, and endpoints, ensuring comprehensive threat analysis. We’re committed to maximizing the potential of your data to enhance security.

BMC Helix Remediate revolutionizes security vulnerability management with a speed of remediation that is 14 times faster than traditional methods. Utilizing sophisticated analytics and automation, it adeptly addresses security flaws and oversees compliance for both on-premises and cloud infrastructures. This solution not only bolsters security but also guarantees compliance, enhances productivity, and reduces expenses. It efficiently imports and scrutinizes data from various vulnerability scanners, correlates vulnerabilities to specific assets and patches, prioritizes them, and initiates automated corrective measures. Users gain immediate insight into existing security vulnerabilities, unpatched software, and misconfigured assets. The system simplifies patching processes for swift remediation of vulnerabilities across both on-premises systems and cloud environments. In addition, it harnesses automation to maintain adherence to external regulations and internal policies, while also automating configuration testing and remediation for resources in AWS, Azure, and GCP, ensuring consistent and secure management of cloud services and containers. Overall, BMC Helix Remediate empowers organizations to maintain a robust security posture while streamlining compliance efforts efficiently.

Waypoint simplifies the management and monitoring of deployments across various platforms like Kubernetes, Nomad, EC2, and Google Cloud Run by utilizing a single configuration file and a unified workflow. It supports application development in any programming language or framework, allowing for the use of Buildpacks for automatic building of standard frameworks or the option to employ custom Dockerfiles and other build tools for more specific control. During the build phase, your application and its assets are compiled, validated, and transformed into an artifact. This artifact can then either be published to a remote registry or directly handed off to the deploy phase. In the deployment phase, Waypoint efficiently transfers the artifacts generated during the build phase to diverse platforms, including Kubernetes, EC2, and static site hosts. It systematically configures the designated platform and ensures the new application version is ready for public access. Before officially launching, deployments can be reviewed through a preview URL, allowing for any necessary adjustments. Finally, Waypoint facilitates the release of your prepped deployments, making them available for the public to access and interact with. This streamlined approach enhances the overall deployment experience across different environments.