Google Cloud Pub/Sub Integrations

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.

Engineered for peak performance and efficient resource use, KrakenD can manage a staggering 70k requests per second on just one instance. Its stateless build ensures hassle-free scalability, sidelining complications like database upkeep or node synchronization. In terms of features, KrakenD is a jack-of-all-trades. It accommodates multiple protocols and API standards, offering granular access control, data shaping, and caching capabilities. A standout feature is its Backend For Frontend pattern, which consolidates various API calls into a single response, simplifying client interactions. On the security front, KrakenD is OWASP-compliant and data-agnostic, streamlining regulatory adherence. Operational ease comes via its declarative setup and robust third-party tool integration. With its open-source community edition and transparent pricing model, KrakenD is the go-to API Gateway for organizations that refuse to compromise on performance or scalability.

Bloomreach transforms the e-commerce landscape through personalization. Its innovative data engine consolidates real-time information about customers and products, enabling businesses to gain insights into true customer desires. By linking this insight across various channels, the e-commerce experience becomes boundless, adapting to customers’ evolving preferences as they shop. Powered by Loomi, Bloomreach's AI platform for e-commerce, this approach opens up countless new avenues for making purchases. The suite of Bloomreach products encompasses Engagement, a marketing automation tool; Discovery, an advanced e-commerce search solution; Content, a headless content management system; and Clarity, which offers AI-driven conversational shopping experiences. With numerous AI patents to its name, the company caters to a diverse array of global brands, including Williams-Sonoma, Bosch, Puma, and Marks & Spencer, illustrating its broad market impact. This comprehensive approach ensures that businesses remain competitive in a rapidly changing digital marketplace.

Deploy sophisticated applications using a secure and managed Kubernetes platform. GKE serves as a robust solution for running both stateful and stateless containerized applications, accommodating a wide range of needs from AI and ML to various web and backend services, whether they are simple or complex. Take advantage of innovative features, such as four-way auto-scaling and streamlined management processes. Enhance your setup with optimized provisioning for GPUs and TPUs, utilize built-in developer tools, and benefit from multi-cluster support backed by site reliability engineers. Quickly initiate your projects with single-click cluster deployment. Enjoy a highly available control plane with the option for multi-zonal and regional clusters to ensure reliability. Reduce operational burdens through automatic repairs, upgrades, and managed release channels. With security as a priority, the platform includes built-in vulnerability scanning for container images and robust data encryption. Benefit from integrated Cloud Monitoring that provides insights into infrastructure, applications, and Kubernetes-specific metrics, thereby accelerating application development without compromising on security. This comprehensive solution not only enhances efficiency but also fortifies the overall integrity of your deployments.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

Easily scale your applications from the ground up to a global level without the burden of infrastructure management. With the ability to evolve rapidly, you can utilize a variety of popular programming languages and an array of development tools. Quickly construct and deploy applications using well-known languages or introduce your preferred language runtimes and frameworks. Additionally, you can handle resource management via the command line, troubleshoot source code, and seamlessly run API back ends. This allows you to concentrate on coding while leaving the management of the underlying infrastructure behind. Enhance the security of your applications with features like firewall protections, identity and access management rules, and automatically managed SSL/TLS certificates. Operate within a serverless framework, alleviating concerns about over or under provisioning. App Engine intelligently scales according to your application's traffic and utilizes resources solely when your code is active, ensuring efficiency and cost-effectiveness. This streamlined approach empowers developers to innovate without the constraints of traditional infrastructure challenges.

Transforming data into actionable insights is made simple with Splunk, which is securely and reliably managed as a scalable service. By entrusting your IT backend to our Splunk specialists, you can concentrate on leveraging your data effectively. The infrastructure, provisioned and overseen by Splunk, offers a seamless, cloud-based data analytics solution that can be operational in as little as 48 hours. Regular software upgrades guarantee that you always benefit from the newest features and enhancements. You can quickly harness the potential of your data in just a few days, with minimal prerequisites for translating data into actionable insights. Meeting FedRAMP security standards, Splunk Cloud empowers U.S. federal agencies and their partners to make confident decisions and take decisive actions at mission speeds. Enhance productivity and gain contextual insights with the mobile applications and natural language features offered by Splunk, allowing you to extend the reach of your solutions effortlessly. Whether managing infrastructure or ensuring data compliance, Splunk Cloud is designed to scale effectively, providing you with robust solutions that adapt to your needs. Ultimately, this level of agility and efficiency can significantly enhance your organization's operational capabilities.

HighByte Intelligence Hub is an Industrial DataOps software solution designed specifically for industrial data modeling, delivery, and governance. The Intelligence Hub helps mid-size to large industrial companies accelerate and scale the use of operational data throughout the enterprise by contextualizing, standardizing, and securing this valuable information. Run the software at the Edge to merge and model real-time, transactional, and time-series data into a single payload and deliver contextualized, correlated information to all the applications that require it. Accelerate analytics and other Industry 4.0 use cases with a digital infrastructure solution built for scale.

RudderStack is the smart customer information pipeline. You can easily build pipelines that connect your entire customer data stack. Then, make them smarter by pulling data from your data warehouse to trigger enrichment in customer tools for identity sewing and other advanced uses cases. Start building smarter customer data pipelines today.

Dasera is a Data Security Posture Management (DSPM) solution that provides comprehensive security and governance for structured and unstructured data across cloud and on-premises environments. It uniquely monitors data-in-use, offering continuous visibility and automated remediation to prevent data breaches at every data lifecycle stage. Dasera facilitates continuous risk detection and mitigation, ensuring seamless integration and regulation compliance. With a deep understanding of data infrastructure, attributes, users, and usage, Dasera empowers organizations to pursue a secure, data-driven growth strategy, minimizing risks and maximizing value in the digital era.

Camunda helps organizations coordinate and automate processes involving people, systems, and devices—removing complexity, improving efficiency, and making AI workflows operational. Designed for both business and IT teams, Camunda’s platform runs any process with the speed and scale needed to stay competitive while meeting security and governance standards. More than 700 companies, including Atlassian, ING, and Vodafone, use Camunda to design, automate, and optimize core business processes. Learn more at camunda.com.

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

Efficient, large-scale log management and analysis in real time. Securely store, search, analyze, and receive alerts for all your log data and events effortlessly. Ingest custom logs from any origin. This is a fully managed service capable of handling exabyte-scale application and infrastructure logs. Experience real-time analysis of your log data. It is compatible with Google Cloud services and seamlessly integrates with Cloud Monitoring, Error Reporting, and Cloud Trace, enabling you to swiftly diagnose issues throughout your applications and infrastructure. With ingestion latency measured in sub-seconds and an impressive ingestion rate of terabytes per second, you can safely accumulate all logs from various sources without any management burden. Enhance your capabilities by merging Cloud Logging with BigQuery for in-depth analysis, and utilize log-based metrics to create real-time dashboards in Cloud Monitoring. Additionally, this comprehensive management solution simplifies the process of maintaining data integrity while optimizing system performance.

Experience an advanced, fully managed service for data discovery and metadata management that scales efficiently. New customers can enjoy $300 in complimentary credits for Google Cloud services during their Free Trial period. All users receive up to 1 MiB of free storage for business or ingested metadata and can make 1 million API calls at no cost. Utilize an intuitive yet robust faceted-search interface to locate your data with ease. Automatically synchronize technical metadata while generating organized tags for business-related metadata. Ensure the protection of sensitive information with automatic tagging through integration with Cloud Data Loss Prevention (DLP). Gain immediate access and easily scale your operations without the need for infrastructure setup or maintenance. Enable any team member to discover or tag data using a user-friendly interface, powered by the same search technology as Gmail, or through API access. With Data Catalog being fully managed, you can effortlessly initiate and expand your usage. Uphold data security measures and adhere to compliance requirements with the help of Cloud IAM and Cloud DLP integrations, ensuring a solid foundation for your data management needs. This service not only simplifies data handling but also enhances collaboration and efficiency across your organization.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

Transmit only the modified data to the target location to eliminate latency issues and minimize resource consumption. Change data capture (CDC) serves as an effective strategy for synchronizing information efficiently. Utilizing log-based replication offers a seamless method for real-time data duplication without hindering the performance of the primary database. You can establish the complete solution swiftly, requiring no ongoing pipeline management. This allows your data teams to focus on more valuable initiatives. Implementing Artie is a straightforward process that involves just a few easy steps. Artie takes care of backfilling historical records and will consistently relay new modifications to the designated table as they happen. The system guarantees data consistency and exceptional reliability. Should an outage occur, Artie uses offsets in Kafka to resume operations from the last point, ensuring high data integrity while eliminating the need for complete re-synchronization. This robust approach not only streamlines data management but also enhances overall operational efficiency.

Harness the advantages of contract-driven development to accelerate the creation and deployment of your microservices and micro frontends with confidence. By shifting left and eliminating the need for traditional integration tests, you can utilize API specifications as executable contracts to catch compatibility issues among your microservices early in the development process. This approach allows for parallel development, significantly reducing cycle times and enabling you to bring products to market at unprecedented speeds. As your project undergoes integration testing, potential integration problems are greatly reduced, leading to a more seamless, robust, and efficient workflow. Foster collaboration between your frontend and backend teams by easily aligning on API designs and specifications. Quickly transform your API specifications into tests at no cost and without writing code, running them against your services to catch integration issues proactively. Additionally, our innovative “no code” method allows you to detect backward incompatible changes simply by comparing two API specification versions, streamlining your development efforts even further. Ultimately, this approach not only enhances team collaboration but also contributes to a more agile and responsive development environment.

Mazaal is an innovative no-code AI platform designed to empower individuals with varying levels of technical expertise to effortlessly create and launch AI models. By offering a straightforward and intuitive interface along with pre-constructed templates, our platform demystifies the intricate process of AI development. Consequently, organizations can avoid the high costs associated with hiring specialized data scientists and save valuable time and resources in the development phase. Additionally, Mazaal features robust functionalities such as automated data preprocessing, optimization of models, seamless deployment, and real-time monitoring and evaluation. This accessibility allows a wider range of businesses to harness the transformative potential of AI, driving their growth and fostering innovation. Furthermore, our platform equips organizations to swiftly adapt to the fast-evolving market trends and customer demands, providing a quick and budget-friendly solution for their AI needs. Ultimately, Mazaal makes it simple for businesses to integrate AI technology into their operations, enhancing efficiency and competitive edge.

GlassFlow is an innovative, serverless platform for building event-driven data pipelines, specifically tailored for developers working with Python. It allows users to create real-time data workflows without the complexities associated with traditional infrastructure solutions like Kafka or Flink. Developers can simply write Python functions to specify data transformations, while GlassFlow takes care of the infrastructure, providing benefits such as automatic scaling, low latency, and efficient data retention. The platform seamlessly integrates with a variety of data sources and destinations, including Google Pub/Sub, AWS Kinesis, and OpenAI, utilizing its Python SDK and managed connectors. With a low-code interface, users can rapidly set up and deploy their data pipelines in a matter of minutes. Additionally, GlassFlow includes functionalities such as serverless function execution, real-time API connections, as well as alerting and reprocessing features. This combination of capabilities makes GlassFlow an ideal choice for Python developers looking to streamline the development and management of event-driven data pipelines, ultimately enhancing their productivity and efficiency. As the data landscape continues to evolve, GlassFlow positions itself as a pivotal tool in simplifying data processing workflows.

Activepieces is an intuitive, open-source automation platform that enables teams to build powerful AI-driven workflows without any coding. With 280+ pre-built automation pieces (MCPs), users can easily integrate various applications, streamline repetitive tasks, and automate business processes. The platform offers no-code tools for creating chat interfaces, automating approvals, and generating AI-powered agents. Whether for small businesses or large corporations, Activepieces supports decentralized innovation and seamless collaboration, empowering teams to automate daily operations, improve productivity, and unlock the full potential of AI in their workflows.

Utilihive, a cloud-native big-data integration platform, is offered as a managed (SaaS) service. Utilihive, the most popular Enterprise-iPaaS (iPaaS), is specifically designed for utility and energy usage scenarios. Utilihive offers both the technical infrastructure platform (connectivity and integration, data ingestion and data lake management) and preconfigured integration content or accelerators. (connectors and data flows, orchestrations and utility data model, energy services, monitoring and reporting dashboards). This allows for faster delivery of data-driven services and simplifies operations.

Knative, initially developed by Google and supported by contributions from more than 50 companies, provides a vital suite of components for creating and operating serverless applications on Kubernetes. It includes capabilities such as scale-to-zero, autoscaling, in-cluster builds, and a robust eventing framework tailored for cloud-native environments. Knative effectively standardizes best practices gleaned from successful Kubernetes-based frameworks, whether deployed on-premises, in the cloud, or within third-party data centers. This platform empowers developers, allowing them to concentrate on writing code and innovating without getting bogged down by the challenging yet mundane aspects of application development, deployment, and management. Additionally, Knative's design fosters a more efficient development process, making it easier to integrate and utilize modern technologies.

Google Cloud Source Repositories provides a centralized platform for teams to store, manage, and monitor their code effectively. It's more than just a private Git repository; it allows for the design, development, and secure management of your code. Teams can collaborate seamlessly within a fully featured, scalable, and private Git environment. Additionally, you can enhance your Git workflow by integrating with various Google Cloud services, such as Cloud Build, App Engine, Pub/Sub, along with operational tools like Cloud Monitoring and Cloud Logging. With a robust code search capability, you can utilize advanced regular expressions to conduct searches across multiple directories, providing the ability to narrow down your inquiries or execute focused searches across various projects, files, and repositories. To boost developer efficiency, you'll receive prompt feedback on code modifications thanks to the built-in continuous integration features. Setting up automated triggers to build and test your changes using Cloud Build is straightforward when you push updates to Cloud Source Repositories, streamlining the development process even further. This comprehensive approach not only enhances collaboration but also ensures a more efficient workflow for development teams.

The managed features of Cloud Composer, along with its compatibility with Apache Airflow, enable you to concentrate on crafting, scheduling, and overseeing your workflows rather than worrying about resource provisioning. Its seamless integration with various Google Cloud products such as BigQuery, Dataflow, Dataproc, Datastore, Cloud Storage, Pub/Sub, and AI Platform empowers users to orchestrate their data pipelines effectively. You can manage your workflows from a single orchestration tool, regardless of whether your pipeline operates on-premises, in multiple clouds, or entirely within Google Cloud. This solution simplifies your transition to the cloud and supports a hybrid data environment by allowing you to orchestrate workflows that span both on-premises setups and the public cloud. By creating workflows that interconnect data, processing, and services across different cloud platforms, you can establish a cohesive data ecosystem that enhances efficiency and collaboration. Additionally, this unified approach not only streamlines operations but also optimizes resource utilization across various environments.

A low-code, no-code strategy enhances data quality management. This software-as-a-service (SaaS) model offers flexibility, cost-effectiveness, seamless integration, and robust support options. It maintains rigorous standards for encryption, identity management, role-based access control, data governance, and compliance. Utilizing advanced machine learning algorithms, it identifies anomalies in row-value data, with the capability to evolve alongside the unique requirements of users' businesses and datasets. Users can incorporate numerous data sources, records, and attributes effortlessly, making the platform resilient to unexpected increases in data volume. It accommodates both batch and streaming processing, ensuring that data is consistently monitored to provide real-time alerts without affecting pipeline performance. The platform offers a smooth onboarding, integration, and investigation process, making it accessible to data teams aiming to proactively spot and analyze anomalies as they arise. With a no-code onboarding process, users can simply connect to their data sources and set their alerting preferences. Telmai intelligently adapts to data patterns, notifying users of any significant changes, ensuring that they remain informed and prepared for any data fluctuations.

Save your security teams from drowning in noise and hassle! With Abstract, they can focus on what truly matters without worrying about vendor lock-ins, SIEM migration costs or compromise on speed of access over storage! Abstract Security is an AI driven security data management platform that streamlines your data operations with noise reduction, AI based normalization and advanced threat analytics performed on live streaming data so you can analyze insights before routing it to any storage destination.

Achieve unparalleled security observability by leveraging insightful data from your logs. Enhance the visibility of your infrastructure while bolstering threat prevention through a flexible, multi-platform solution. With compatibility spanning over 100 operating system versions and more than 120 customizable modules, you can obtain extensive insights and strengthen your overall security posture. Significantly lower the expenses associated with your SIEM solution by effectively minimizing noisy and redundant log data. By filtering events, truncating unnecessary fields, and eliminating duplicates, you can substantially improve the quality of your logs. Unify the collection and aggregation of logs from all systems within your organization using a single, comprehensive tool. This approach simplifies the management of security-related events and accelerates both detection and response times. Additionally, empower your organization to fulfill compliance obligations by centralizing specific logs within a SIEM while archiving others for long-term retention. The NXLog Platform serves as an on-premises solution designed for streamlined log management, offering versatile processing capabilities to meet diverse needs. This powerful tool not only enhances security efficiency but also provides a streamlined approach to managing extensive log data.

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

Our industry-leading, comprehensive solution accommodates any master data domain, implementation method, and use case, whether in the cloud or on-premises. It seamlessly integrates top-tier data integration, data quality, business process management, and data privacy features. Address intricate challenges directly with reliable insights into essential master data. Automatically establish connections between master, transactional, and interaction data across various domains. Enhance the precision of data records through verification services and enrichment for both B2B and B2C contexts. Effortlessly update numerous master data records, dynamic data models, and collaborative workflows with a single click. Streamline maintenance costs and accelerate deployment through AI-driven match tuning and rule suggestions. Boost productivity by utilizing search functions along with pre-configured, detailed charts and dashboards. In doing so, you can generate high-quality data that significantly enhances business outcomes by providing trusted and pertinent information. This multifaceted approach ensures that organizations can make data-driven decisions with confidence.

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

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

Achieve seamless and secure access to your cloud infrastructure without the need for passwords. Experience passwordless authentication for major cloud platforms and a multitude of cloud resources, as we integrate smoothly with AWS, GCP, Azure, and various other cloud-native tools. Prevent overprivileged access by implementing just-in-time access specifically for developers. DevOps professionals can easily request access to cloud resources with a 'just enough privileges' approach, ensuring they have time-limited permissions. This setup helps to eliminate the productivity issues that arise from relying on a centralized administrator. You can configure approval policies tailored to different criteria, and you'll have the ability to view a comprehensive catalog of both granted and unaccessed resources. Mitigate the risks of credential sprawl and the anxiety surrounding credential theft. Developers are empowered to gain passwordless access to cloud resources using advanced Trusted Platform Module (TPM) technology. Additionally, you can uncover potential vulnerabilities today with our complimentary assessment tool, gaining insights into how Procyon can effectively address these issues in a matter of hours. By leveraging TPM, you can ensure strong identification of both users and their devices, thus enhancing overall security. This innovative approach not only streamlines access but also fortifies your cloud security posture significantly.

Software for modern sales teams that automates commissions. Automate any commission plan. The easy-to-use design tool for sales incentive plans allows you to automate any sales commission structure. Welcome to the world transparent sales commission plans that are updated with real-time sync. Are you looking for custom fields in your CRM? No problem. Complex workflow with multiple logical conditions. You can walk in the park. All thanks to the intuitive sales incentive plan creator at your disposal. All the tools you use in one touch. CRMs, Invoicing, Accounting, Prospecting, Payroll, etc. A powerful commission tracking software allows you to design highly nuanced sales incentives plans. You can set up automated workflows for commission approval, tracking, and payment. They will run like clockwork. Just a few clicks and you can make any changes.

Infometry's Google Connectors facilitate the seamless integration of Google Applications with Informatica Cloud IDMC, previously recognized as IICS. Their Google Sheets Connectors are fully certified by Informatica and offer native interfaces for users. By utilizing Infometry's Connectors, organizations can achieve smooth integration and access real-time data analytics. The Google Connector for Informatica simplifies application integration, data extraction for downstream systems, and ETL processes for Enterprise Data Warehouses. Customers who utilize Informatica Cloud Connectors often store various datasets in Google Sheets, including Sales Forecasts, Goals, Product Master records, SKU data, Lab Results, Headcount estimates, and OpEx Budgets, which all need to be efficiently transferred to Enterprise Data Warehouses, Cloud Applications, and Data Lakes. Infometry developed a Google Sheet connector that leverages Informatica’s native interface, encompassing comprehensive API operations such as reading, writing, updating, deleting, and searching among other functionalities, ensuring a robust solution for data management needs. This integration empowers businesses to leverage their existing data in Google Sheets for enhanced analytics and decision-making capabilities.

Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively.

Select either an inbound assistant that responds to events, such as new lead submissions, or an outbound assistant that operates on a predetermined schedule. Integrate your assistant with our various tools and specify the features you want. Your AI phone assistant will be ready to make and receive calls in no time. You can create as many assistants as you wish, easily implementing your workflows and having everything set up in under two minutes. Each phone agent comes equipped with a customized knowledge base and tools specifically designed to meet your individual requirements. Say goodbye to lengthy training periods for representatives. Enjoy the flexibility of complete customization, from choosing different voices and defining prompts to selecting specific language models. Our phone agents are operational 24/7/365, efficiently managing both incoming and outgoing calls. Callers also have the option to request a transfer to a human representative at any point during their conversation. Additionally, every call is recorded by default (unless you choose otherwise), enabling you to revisit and assess any interaction at your convenience. This ensures that you maintain a high standard of service and customer satisfaction.

Salesforce Data Cloud serves as a real-time data platform aimed at consolidating and overseeing customer information from diverse sources within a business, facilitating a unified and thorough perspective of each client. This platform empowers organizations to gather, synchronize, and evaluate data in real time, thereby creating a complete 360-degree customer profile that can be utilized across various Salesforce applications, including Marketing Cloud, Sales Cloud, and Service Cloud. By merging data from both online and offline avenues, such as CRM data, transactional records, and external data sources, it fosters quicker and more personalized interactions with customers. Additionally, Salesforce Data Cloud is equipped with sophisticated AI tools and analytical features, enabling businesses to derive deeper insights into customer behavior and forecast future requirements. By centralizing and refining data for practical application, it enhances customer experiences, allows for targeted marketing efforts, and promotes effective, data-driven decisions throughout different departments. Ultimately, Salesforce Data Cloud not only streamlines data management but also plays a crucial role in helping organizations stay competitive in a rapidly evolving marketplace.

In today's fast-paced market, capturing customer attention is increasingly challenging, forcing marketing and customer experience (CX) leaders to drive growth while managing limited time and resources. Pendula harnesses the vast capabilities of generative AI to equip teams with the tools necessary to foster adaptive and impactful two-way customer interactions, ultimately inspiring, engaging, and retaining customers on a larger scale. Positioned as a central figure in the dialogue between businesses and their clientele worldwide, Pendula offers intuitive drag-and-drop features that enable teams to maximize their productivity. By facilitating intelligent action based on real-time data, Pendula activates your entire data ecosystem, making it a cornerstone of next-generation customer engagement and retention strategies. Through its innovative workflow studio, the only constraints are those of your imagination, allowing users to select data sources that highlight crucial moments for their customers, thus enhancing the overall experience. This approach not only streamlines communication but also cultivates deeper relationships between brands and their audiences.

Equinix Smart View serves as a comprehensive Data Center Infrastructure Management (DCIM) software platform, designed to facilitate real-time monitoring of your International Business Exchange data center environment within the Platform Equinix ecosystem. This tool allows for immediate access to crucial data tailored to your specific Equinix setup at various levels, including local zones, cages, and cabinets, enabling swift responses to significant events and empowering proactive planning through customizable reports and alerts. The platform excels in business integration, offering versatile APIs that operate over both public and private cloud channels, which streamlines the process of accessing and overseeing operations across your colocated sites. Among its essential features are detailed power draw data specific to trended AC circuits, nearly instantaneous temperature and humidity tracking, customizable system alerts, integrated REST and streaming APIs, tailored and scheduled reporting capabilities, and permissions that can be adjusted across the organization. By utilizing these features, users can enhance their operational efficiency and ensure a robust infrastructure management strategy.

Google Cloud's Eventarc is a comprehensive, managed solution that empowers developers to establish event-driven architectures by channeling events from multiple sources to designated endpoints. It captures events generated within a system and forwards them to chosen destinations, promoting the development of loosely connected services that respond aptly to changes in state. Supporting events from a range of Google Cloud services, bespoke applications, and external SaaS providers, Eventarc offers significant versatility in designing event-driven applications. Developers have the capability to set up triggers that direct events to various endpoints, such as Cloud Run services, which enhances the responsiveness and scalability of application structures. Furthermore, Eventarc guarantees secure event transmission by incorporating Identity and Access Management (IAM), which facilitates meticulous access control over the processes of event ingestion and handling. This robust security feature ensures that only authorized users can manage events, thereby maintaining the integrity and confidentiality of the data involved.

Observo AI is an innovative platform tailored for managing large-scale telemetry data within security and DevOps environments. Utilizing advanced machine learning techniques and agentic AI, it automates the optimization of data, allowing companies to handle AI-generated information in a manner that is not only more efficient but also secure and budget-friendly. The platform claims to cut data processing expenses by over 50%, while improving incident response speeds by upwards of 40%. Among its capabilities are smart data deduplication and compression, real-time anomaly detection, and the intelligent routing of data to suitable storage or analytical tools. Additionally, it enhances data streams with contextual insights, which boosts the accuracy of threat detection and helps reduce the occurrence of false positives. Observo AI also features a cloud-based searchable data lake that streamlines data storage and retrieval, making it easier for organizations to access critical information when needed. This comprehensive approach ensures that enterprises can keep pace with the evolving landscape of cybersecurity threats.

Onum serves as a real-time data intelligence platform designed to equip security and IT teams with the ability to extract actionable insights from in-stream data, thereby enhancing both decision-making speed and operational effectiveness. By analyzing data at its origin, Onum allows for decision-making in mere milliseconds rather than taking minutes, which streamlines intricate workflows and cuts down on expenses. It includes robust data reduction functionalities that smartly filter and condense data at the source, guaranteeing that only essential information is sent to analytics platforms, thus lowering storage needs and related costs. Additionally, Onum features data enrichment capabilities that convert raw data into useful intelligence by providing context and correlations in real time. The platform also facilitates seamless data pipeline management through effective data routing, ensuring that the appropriate data is dispatched to the correct destinations almost instantly, and it accommodates a variety of data sources and destinations. This comprehensive approach not only enhances operational agility but also empowers teams to make informed decisions swiftly.

Tenzir is a specialized data pipeline engine tailored for security teams, streamlining the processes of collecting, transforming, enriching, and routing security data throughout its entire lifecycle. It allows users to efficiently aggregate information from multiple sources, convert unstructured data into structured formats, and adjust it as necessary. By optimizing data volume and lowering costs, Tenzir also supports alignment with standardized schemas such as OCSF, ASIM, and ECS. Additionally, it guarantees compliance through features like data anonymization and enhances data by incorporating context from threats, assets, and vulnerabilities. With capabilities for real-time detection, it stores data in an efficient Parquet format within object storage systems. Users are empowered to quickly search for and retrieve essential data, as well as to reactivate dormant data into operational status. The design of Tenzir emphasizes flexibility, enabling deployment as code and seamless integration into pre-existing workflows, ultimately seeking to cut SIEM expenses while providing comprehensive control over data management. This approach not only enhances the effectiveness of security operations but also fosters a more streamlined workflow for teams dealing with complex security data.

Excel and Google Sheets are often delicate and susceptible to mistakes, leading to collaboration that frequently requires tedious and repetitive tasks. Files that hold significant information can break unexpectedly, frequently without anyone noticing, resulting in decisions based on inaccurate data. Highly compensated employees end up wasting countless hours on monotonous tasks, while workflows necessitate constant manual oversight, draining essential cognitive resources. You can selectively share portions of your file, whether that be specific cell ranges or entire sheets. With Layer, you can offload all these repetitive tasks efficiently. Every change is clearly marked for you, eliminating the need to search for updates. You will have access to a comprehensive record of modifications, spreadsheet iterations, and all communications. We are transforming the way teams collaborate on spreadsheets by adding a productivity layer to both Excel and Google Sheets. In truth, we have grown weary of the conventional perks that businesses provide today, as they often fall short of addressing the real challenges faced in collaborative work environments. By focusing on enhancing efficiency and reducing errors, we aim to redefine how teams interact with data.