Business Software for Google Cloud Platform

Say goodbye to the hassle of organizing your files into folders or giving them individual names, as FileShadow simplifies document and photo management through advanced content and metadata scanning, along with automatic tagging based on geolocation and custom settings for effortless organization and retrieval. You can connect one or more of your Slack Workspaces as sources for FileShadow, enabling the archiving of files from your channels—regardless of the sender—into your secure FileShadow Vault. Any attachments exchanged in your Slack conversations can be seamlessly archived, categorized, and protected within FileShadow's system. Utilizing machine learning (ML) and artificial intelligence (AI), FileShadow enhances your indexing and searching experience, allowing you to quickly locate your files with sophisticated search capabilities, including file content, OCR for PDFs, GPS/geolocation data, and image recognition. Sharing files stored in your FileShadow vault is straightforward; all that is required is for the recipient to have a FileShadow account! You retain full control over access permissions, enabling you to determine which files can be viewed or modified by others, ensuring both security and flexibility in how you manage your digital assets. With FileShadow, organizing your digital life becomes not only simpler but also more efficient, paving the way for a smoother workflow.

Komodor simplifies the troubleshooting process for Kubernetes, equipping you with all the essential tools to resolve issues confidently. It oversees your entire Kubernetes ecosystem, detects problems, reveals their underlying causes, and provides the necessary context for effective and independent troubleshooting. The platform automatically identifies anomalies, deployment failures, misconfigurations, bottlenecks, and various health-related issues. It enables you to recognize potential problems before they escalate and impact end-users. By utilizing pre-designed playbooks, you can enhance root cause analysis, avoid disruptive escalations, and conserve valuable developer time. Moreover, it offers clear remediation guidance that empowers every team member to act like a seasoned troubleshooting expert, fostering a more resilient operational environment. This proactive approach not only enhances team efficiency but also significantly improves overall system reliability.

Launch production-ready Kubernetes clusters within just a few days and facilitate the swift onboarding of users and applications. Tackle the complexities of Kubernetes using a robust and user-friendly DevOps solution that minimizes friction among teams, fosters better collaboration, and increases overall productivity. With Nirmata's Kubernetes Policy Manager, you can ensure the appropriate security measures, compliance, and governance for Kubernetes, enabling you to scale operations smoothly. Manage all your Kubernetes clusters, policies, and applications seamlessly in a single platform, while optimizing operations through the DevSecOps Platform. Nirmata’s DevSecOps platform is designed to integrate effortlessly with various cloud providers such as EKS, AKS, GKE, OKE, and offers support for infrastructure solutions like VMware, Nutanix, and bare metal. This solution effectively addresses the operational challenges faced by enterprise DevOps teams, providing them with comprehensive management and governance tools tailored for Kubernetes environments. By implementing Nirmata, organizations can improve their workflow efficiency and streamline their Kubernetes operations.

Ascend provides data teams with a streamlined and automated platform that allows them to ingest, transform, and orchestrate their entire data engineering and analytics workloads at an unprecedented speed, achieving results ten times faster than before. This tool empowers teams that are often hindered by bottlenecks to effectively build, manage, and enhance the ever-growing volume of data workloads they face. With the support of DataAware intelligence, Ascend operates continuously in the background to ensure data integrity and optimize data workloads, significantly cutting down maintenance time by as much as 90%. Users can effortlessly create, refine, and execute data transformations through Ascend’s versatile flex-code interface, which supports the use of multiple programming languages such as SQL, Python, Java, and Scala interchangeably. Additionally, users can quickly access critical metrics including data lineage, data profiles, job and user logs, and system health indicators all in one view. Ascend also offers native connections to a continually expanding array of common data sources through its Flex-Code data connectors, ensuring seamless integration. This comprehensive approach not only enhances efficiency but also fosters stronger collaboration among data teams.

Cardina serves as a dynamic customer engagement platform aimed at improving both support and sales interactions by providing real-time visual guidance directly on users' screens without the need for downloads or meeting links. Through its innovative co-browsing technology, agents can view, annotate, and even take control of customers' screens, which leads to quicker problem resolution and enhanced customer satisfaction. The platform integrates effortlessly with existing tools, featuring capabilities such as session recording, data masking for enhanced security, and cross-device compatibility across various web technologies. Trusted by prominent customer experience teams, it has proven to cut handle times by as much as 41% and increase first-contact resolutions by 47%. Additionally, Cardina presents a range of flexible pricing options that accommodate businesses of all sizes, from emerging startups to large enterprises. Overall, Cardina is committed to transforming customer interactions into seamless experiences that foster lasting relationships.

Saasment addresses security vulnerabilities to minimize human errors in managing digital assets. We streamline security protocols to safeguard your company's sensitive information effectively. Our services include fraud deterrence and comprehensive protection against emerging threats that specifically target e-commerce platforms such as Shopify and Wix. With our automated cloud Chief Information Security Officer (CISO) services, you can concentrate on expanding your business while securing valuable partnerships. We help you pinpoint risks to gain insights into the security vulnerabilities present within your cloud and SaaS applications. You can then create a tailored security strategy that aligns with the identified risks in your environment. Once the strategy is developed, we assist in implementing the necessary solutions, elevating your business to achieve top-tier security through our SaaS security platform. Our commitment includes ongoing monitoring to ensure your organization remains devoid of vulnerabilities and risks. Additionally, we support businesses in identifying and rectifying misconfigurations across over 40 applications, while also facilitating continuous compliance tracking to uphold regulatory standards. By partnering with us, you can ensure a robust security posture that evolves alongside your business needs.

Quickly generate interactive cloud diagrams from various cloud providers in just minutes. Uncover the current configurations and operations, examine security settings, check open ports, and analyze traffic flows. The process is fully automated, eliminating the need for tedious manual drawing. After securely connecting Hava to your cloud accounts, you'll have a comprehensive set of logically organized infrastructure diagrams categorized by VPCs or resource zones in no time, showcasing all resources and their interconnections. By selecting individual resources, you can access detailed attributes such as security groups, connections, subnets, and ingress/egress IPs, making it simple to identify anomalies, assess cost forecasts, and produce diagrams for onboarding, management, auditing, and compliance needs. Experience the convenience of live interactive diagrams that can be exported in mere seconds, freeing you from the hassle of navigating through various consoles and spending countless hours with drag-and-drop tools. Effortlessly visualize configured resources, security groups, route tables, resource connections, and subnets, all in one cohesive platform. This ensures that you have a clear and comprehensive understanding of your cloud infrastructure at all times.

Obtain insights into user actions, including who performed them, when they occurred, and their locations on the Google Cloud Platform. Cloud Audit Logs are invaluable for security teams aiming to uphold comprehensive audit trails within Google Cloud Platform (GCP). This functionality enables organizations to achieve transparency over administrative operations and data access similar to what is available in traditional on-premises setups. Every administrative action is logged on a secure, continuous audit trail that remains impervious to tampering by malicious entities. Furthermore, data access logs can be tailored to align with the specific monitoring and compliance requirements of your organization. Users benefit from receiving audit event notifications in near-real-time, often within seconds of the event taking place. This capability allows for swift assessment and response to any detected activities in a manner that aligns with your organization’s protocols. Additionally, the Cloud Audit Logs are stored in highly secure environments, ensuring a robust, immutable, and extremely durable audit trail that enhances overall security and compliance. Overall, these features make Cloud Audit Logs an essential tool for maintaining oversight in cloud environments.

configure8 is an internal developer portal that helps helps your developers move faster and build better software with self-serve access to the knowledge and functionality they need. configure8 is built around a universal catalog that easily organizes all of the sociotechnical knowledge about your team and applications, services, environments, and resources. Customize the data model to integrate any tool and present custom views and calculations. Easy to set-up and maintain, and delivers value. configure8 uses knowledge in the universal catalog to power Scorecards and Self-Serve Actions. Scorecards by configure8 feature the largest library of pre-built checks and the ability to scorecard any custom data as well as create standards tripwires. Self-Serve Actions feature dynamic forms that are contextually aware to minimize developer cognitive load for day 2 operations. We even offer starter templates + custom actions. Deploy configure8 on-premise or use our SaaS hosted version. We offer white glove support to ensure your success and high internal adoption rates.

PostgreSQL offers unparalleled performance and endless possibilities. PostgreSQL Data Access Components is a collection of components that provide native connectivity to PostgreSQL using C++Builder and Delphi. It also includes Lazarus (and Free Pascal), for 32-bit and 64 bit platforms. PgDAC was created to allow programmers to create lightweight, faster and cleaner PostgreSQL databases applications without having to deploy additional libraries. PgDAC is an alternative to standard PostgreSQL connectivity solutions. It offers an efficient alternative to standard dbExpress drivers and the Borland Database Engine. It allows direct access to PostgreSQL with no need for the PostgreSQL client. PgDAC allows developers optimize their database applications and take advantage of the full capabilities offered by PostgreSQL.

Luminoth is an open-source framework designed for computer vision applications, currently focusing on object detection but with aspirations to expand its capabilities. As it is in the alpha stage, users should be aware that both internal and external interfaces, including the command line, are subject to change as development progresses. For those interested in utilizing GPU support, it is recommended to install the GPU variant of TensorFlow via pip with the command pip install tensorflow-gpu; alternatively, users can opt for the CPU version by executing pip install tensorflow. Additionally, Luminoth offers the convenience of installing TensorFlow directly by using either pip install luminoth[tf] or pip install luminoth[tf-gpu], depending on the desired TensorFlow version. Overall, Luminoth represents a promising tool in the evolving landscape of computer vision technology.

Kuma provides an enterprise service mesh that seamlessly operates across multiple clouds and clusters, whether on Kubernetes or virtual machines. With just a single command, users can deploy the service mesh and automatically connect to other services through its integrated service discovery features, which include Ingress resources and remote control planes. This solution is versatile enough to function in any environment, efficiently managing resources across multi-cluster, multi-cloud, and multi-platform settings. By leveraging native mesh policies, organizations can enhance their zero-trust and GDPR compliance initiatives, thereby boosting the performance and productivity of application teams. The architecture allows for the deployment of a singular control plane that can effectively scale horizontally to accommodate numerous data planes, or to support various clusters, including hybrid service meshes that integrate both Kubernetes and virtual machines. Furthermore, cross-zone communication is made easier with Envoy-based ingress deployments across both environments, coupled with a built-in DNS resolver for optimal service-to-service interactions. Built on the robust Envoy framework, Kuma also offers over 50 observability charts right out of the box, enabling the collection of metrics, traces, and logs for all Layer 4 to Layer 7 traffic, thereby providing comprehensive insights into service performance and health. This level of observability not only enhances troubleshooting but also contributes to a more resilient and reliable service architecture.

Finout streamlines the billing from Cloud Providers, Data Warehouses, and CDNs into a comprehensive single invoice, providing an exceptional overview of your cloud expenses without the need for extensive setup. You can easily track irregularities, access tailored suggestions, and anticipate costs as your business expands. Unlike AWS, which bills based on instances, Finout allows you to focus on the actual costs associated with your pods. By integrating seamlessly without agents, you can leverage your current Datadog or Prometheus setups to gain detailed insights into pod-level spending quickly. Move beyond simply understanding total cloud expenses; instead, focus on the costs tied to your actual usage rather than just payments made. For instance, instead of analyzing EC2 instances and DynamoDB indexes, you can directly observe Kubernetes pods. Moreover, Finout fosters a shared vocabulary across your organization, benefiting not just the DevOps team but the entire company as well. This unified approach enhances collaboration and understanding across departments, leading to more informed financial decisions.

Effortlessly import marketing data into your preferred data warehouse or cloud storage solution, including BigQuery, Snowflake, Redshift, Azure SQL, AWS S3, Azure Data Lake, and Google Cloud Storage, through our fully-managed ETL pipelines hosted in the cloud. Our comprehensive marketing data warehouse consolidates all your marketing information and delivers valuable insights, such as advertising performance, cross-channel attribution, content analysis, competitor intelligence, and much more. Additionally, our customer data platform facilitates real-time identity resolution across various data sources, providing a cohesive view of the customer and their journey. Electrik.AI serves as a cloud-driven marketing analytics software and an all-encompassing service platform designed to optimize your marketing efforts. Moreover, Electrik.AI’s Google Analytics Hit Data Extractor is capable of enhancing and retrieving the un-sampled hit-level data transmitted to Google Analytics from your website or application, routinely transferring it to your specified destination database, data warehouse, or data lake for further analysis. This ensures you have access to the most accurate and actionable data to drive your marketing strategies effectively.

Advancements in machine learning have led to significant breakthroughs in both business applications and research, impacting areas such as network security and medical diagnostics. To empower a broader audience to achieve similar innovations, we developed the Tensor Processing Unit (TPU). This custom-built machine learning ASIC is the backbone of Google services like Translate, Photos, Search, Assistant, and Gmail. By leveraging the TPU alongside machine learning, companies can enhance their success, particularly when scaling operations. The Cloud TPU is engineered to execute state-of-the-art machine learning models and AI services seamlessly within Google Cloud. With a custom high-speed network delivering over 100 petaflops of performance in a single pod, the computational capabilities available can revolutionize your business or lead to groundbreaking research discoveries. Training machine learning models resembles the process of compiling code: it requires frequent updates, and efficiency is key. As applications are developed, deployed, and improved, ML models must undergo continuous training to keep pace with evolving demands and functionalities. Ultimately, leveraging these advanced tools can position your organization at the forefront of innovation.

A comprehensive open-source session replay suite designed specifically for developers, enabling self-hosting for optimal data control. Gain insights into every issue as if it were occurring in your own browser, allowing you to delve deep while observing user interactions. This all-in-one platform empowers developers to effectively address problems, replay sessions, track web app performance, and provide exceptional customer support. Experience your users' journey firsthand, identify their challenges, expose hidden issues, and create outstanding experiences. With the ability to self-host, your customer data remains within your own infrastructure, eliminating the need to share sensitive information with third parties. Maintain complete authority over the data captured and eliminate the hassle of extensive compliance and security protocols. Our suite also includes advanced privacy features for user data sanitization. If self-deployment isn't your preference, you can easily opt for our cloud solution and start benefiting from the service in just a few minutes. This flexibility ensures that developers can choose the deployment method that best suits their needs while still prioritizing user privacy and data security.

Gemini Enterprise Agent Platform Notebooks offer an integrated solution for managing the full lifecycle of data science and machine learning projects. By combining Colab Enterprise and Agent Platform Workbench, the platform delivers both ease of use and advanced customization capabilities. Users can seamlessly explore data, write code, and train models within a single environment connected to Google Cloud services like BigQuery and Spark. The notebooks support rapid experimentation through scalable compute resources and AI-powered coding tools that reduce repetitive tasks. Teams can transition smoothly from prototyping to production with built-in workflows for training and deployment. The fully managed infrastructure eliminates the need for manual setup while optimizing performance and cost efficiency. Enterprise security features, including authentication and access management, ensure safe handling of sensitive data. Integration with MLOps tools allows for continuous training, deployment, and monitoring of models. Visualization and data catalog tools provide deeper insights and easier data exploration. The platform enhances collaboration by enabling sharing and reporting through notebook outputs. Overall, it empowers organizations to accelerate AI development while maintaining control, scalability, and security.

The Media Translation API provides instantaneous translation of speech for your content and applications, directly utilizing your audio files. By harnessing the power of Google’s advanced machine learning technologies, this API ensures superior accuracy and seamless integration, while also offering a robust suite of features to optimize your translation outcomes. Enhance the user experience with fast, low-latency streaming translation and easily expand your reach with straightforward internationalization options. Google Cloud’s renowned translation and speech recognition capabilities are a testament to its high quality, stemming from years of expertise in machine learning. By integrating innovative technologies, the Media Translation API delivers top-tier audio translation, combining the capabilities of both the popular Translation API and the speech-to-text API. You can now translate audio data directly, and the Media Translation API significantly boosts the precision of interpretation by refining the integration of models from audio to text. With its state-of-the-art features and reliable performance, this API is poised to transform how you approach audio translation tasks.

Advanced video analysis technology can identify more than 20,000 different objects, locations, and activities within video content. It allows for the extraction of comprehensive metadata across various levels, including the entire video, individual shots, or specific frames. Users have the capability to define custom entity labels through AutoML Video Intelligence, tailoring the tool to their needs. Additionally, it offers the ability to gather insights in near real-time, using streaming video annotation alongside object-based event triggers. This functionality enables the creation of captivating customer experiences through highlight reels and personalized recommendations. Furthermore, it supports the recognition of over 20,000 objects, places, and actions in both stored and live video feeds. Users can search their video libraries in a manner similar to document searches, facilitating easier access to specific content. The rich metadata extracted can also serve to index, organize, and filter video assets, ensuring that the most relevant content is highlighted. With these features, organizations can leverage video data more effectively to enhance their operations and engage their audiences.

Accelerate computational tasks such as those found in machine learning and high-performance computing (HPC) with a diverse array of GPUs suited for various performance levels and budget constraints. With adaptable pricing and customizable machines, you can fine-tune your setup to enhance your workload efficiency. Google Cloud offers high-performance GPUs ideal for machine learning, scientific analyses, and 3D rendering. The selection includes NVIDIA K80, P100, P4, T4, V100, and A100 GPUs, providing a spectrum of computing options tailored to meet different cost and performance requirements. You can effectively balance processor power, memory capacity, high-speed storage, and up to eight GPUs per instance to suit your specific workload needs. Enjoy the advantage of per-second billing, ensuring you only pay for the resources consumed during usage. Leverage GPU capabilities on Google Cloud Platform, where you benefit from cutting-edge storage, networking, and data analytics solutions. Compute Engine allows you to easily integrate GPUs into your virtual machine instances, offering an efficient way to enhance processing power. Explore the potential uses of GPUs and discover the various types of GPU hardware available to elevate your computational projects.

Manage and optimize models throughout the entire ML lifecycle. This includes experiment tracking, monitoring production models, and more. The platform was designed to meet the demands of large enterprise teams that deploy ML at scale. It supports any deployment strategy, whether it is private cloud, hybrid, or on-premise servers. Add two lines of code into your notebook or script to start tracking your experiments. It works with any machine-learning library and for any task. To understand differences in model performance, you can easily compare code, hyperparameters and metrics. Monitor your models from training to production. You can get alerts when something is wrong and debug your model to fix it. You can increase productivity, collaboration, visibility, and visibility among data scientists, data science groups, and even business stakeholders.

Our platform for data discovery and scanning operates without the need for agents, making it simple to integrate with any cloud accounts, including AWS, Azure, and GCP. You won't have to handle any deployments or management tasks. We are compatible with all native cloud data repositories, whether structured or unstructured, across these three major cloud providers. Normalyze efficiently scans both types of data within your cloud environments, collecting only metadata to enhance the Normalyze graph, ensuring that no sensitive information is gathered during the process. The platform visualizes access and trust relationships in real-time, offering detailed context that encompasses fine-grained process names, data store fingerprints, and IAM roles and policies. It enables you to swiftly identify all data stores that may contain sensitive information, uncover every access path, and evaluate potential breach paths according to factors like sensitivity, volume, and permissions, highlighting vulnerabilities that could lead to data breaches. Furthermore, the platform allows for the categorization and identification of sensitive data according to industry standards, including PCI, HIPAA, and GDPR, providing comprehensive compliance support. This holistic approach not only enhances data security but also empowers organizations to maintain regulatory compliance efficiently.

Marsview APIs are relied upon by numerous developers and customer experience teams who are embedding conversation intelligence within voice, video, and chat applications. By collaborating, we can redefine the landscape of digital conversation together. Let’s propel your business into the future by spearheading innovation that provides exceptional conversational intelligence and analytics to our users. Our intelligent virtual agents perform tasks and respond to inquiries in a way that feels natural and human-like. They can seamlessly detect user intents to offer in-call support, initiate on-screen actions, manage call dispositions, and summarize conversation notes. Furthermore, these APIs generate actionable insights from every interaction across various channels, ensuring that no customer engagement goes unnoticed. With Marsview's comprehensive suite of language, speech, vision, and empathy APIs, you can quickly implement tailored AI solutions at scale with remarkable confidence. Additionally, our system ensures that the most relevant responses are provided to inquiries, as well as suggesting the next optimal actions to take.

Shipyard is an Environments as a Service (EaaS) platform. It hosts fully-managed ephemeral environments on every pull request. Shipyard's ephemeral environments use Docker Compose as an application definition and integrate with your existing CI/CD platform, ensuring you can run your automated testing suite before merge. Share SSO-protected environments between teams for asynchronous review.

Sionic is pioneering the introduction of real-time payment solutions within the U.S. commerce sector. Our platform facilitates instantaneous bank-to-bank digital cash transactions from consumers to merchants across various platforms, including mobile, online, in-store, and even in vehicles. Merchants benefit from receiving immediate cash deposits in their bank accounts while avoiding the burden of high credit card processing fees. The financial strain of these fees has ensnared merchants of all sizes, with total costs exceeding $110 billion annually in the U.S. as of 2020. Meanwhile, consumers are grappling with mounting late fees and a staggering $15.2 trillion in debt, along with the pitfalls of questionable reward programs that exacerbate existing financial inequalities. With the introduction of immediate digital bank payments, a new opportunity arises to fairly distribute value back to both merchants and consumers, who form the foundation of the U.S. economy. To enhance this experience, we provide three user-friendly mobile tools that make bank payments swift, secure, and convenient for consumers. Additionally, users can seamlessly integrate with our ready-to-use microsite via customizable QR codes or URLs, further simplifying the payment process.