New Relic Integrations

Pinecone Rerank V0 is a cross-encoder model specifically designed to enhance precision in reranking tasks, thereby improving enterprise search and retrieval-augmented generation (RAG) systems. This model processes both queries and documents simultaneously, enabling it to assess fine-grained relevance and assign a relevance score ranging from 0 to 1 for each query-document pair. With a maximum context length of 512 tokens, it ensures that the quality of ranking is maintained. In evaluations based on the BEIR benchmark, Pinecone Rerank V0 stood out by achieving the highest average NDCG@10, surpassing other competing models in 6 out of 12 datasets. Notably, it achieved an impressive 60% increase in performance on the Fever dataset when compared to Google Semantic Ranker, along with over 40% improvement on the Climate-Fever dataset against alternatives like cohere-v3-multilingual and voyageai-rerank-2. Accessible via Pinecone Inference, this model is currently available to all users in a public preview, allowing for broader experimentation and feedback. Its design reflects an ongoing commitment to innovation in search technology, making it a valuable tool for organizations seeking to enhance their information retrieval capabilities.

PagerTree is a cloud-based platform for managing incidents and on-call alerts, created to assist teams in swiftly and effectively addressing operational challenges. By consolidating alerts from various monitoring tools, it ensures that the correct responders are notified automatically through customizable on-call schedules, layered escalation processes, and smart routing rules. The platform offers real-time notifications via push notifications, emails, SMS, voice calls, chatbots, and mobile applications, guaranteeing prompt delivery of incidents to the designated team members. With PagerTree, organizations can establish simple on-call rotations and enhance their systems with escalation policies while monitoring performance through integrated analytics dashboards. Its sophisticated routing and notification protocols enable teams to align alerts with specific criteria, reduce unnecessary noise, and focus on urgent incidents, which ultimately lessens alert fatigue and enhances the accuracy of responses. Moreover, PagerTree's user-friendly interface allows for easy adjustments to notification preferences, promoting a more efficient incident management workflow.

Artillery is a comprehensive platform designed for performance and reliability testing, enabling teams to ensure their applications remain both fast and dependable through an integrated suite of load testing, scalable Playwright end-to-end testing, and production monitoring. This modern and powerful toolkit is user-friendly, easily adoptable, and designed to work seamlessly with various coding agents. Engineering teams leverage Artillery to enhance their applications' performance and resilience under heavy loads, employing their existing TypeScript and JavaScript expertise to test a wide range of components from APIs to complete browser experiences. Supporting various technologies, including HTTP APIs, WebSocket and Socket.io services, SOAP, GraphQL, and intricate web applications with real browsers, Artillery caters to diverse testing needs. Additionally, its built-in distributed load testing capability allows teams to conduct extensive, cloud-scale, and multi-region tests on platforms like AWS Lambda, AWS Fargate, or Azure Container Instances without the hassle of infrastructure management. By streamlining the testing process, Artillery empowers teams to focus on innovation while maintaining high-quality application performance.

xMatters serves as a smart communications platform aimed at enhancing critical business workflows, particularly within IT operations, DevOps, and the management of significant incidents. With a trusted base of more than 1000 international organizations, xMatters provides advanced communication solutions that facilitate efficient IT management, ensure business continuity, foster employee involvement, and improve customer interactions. The platform stands out for its exceptional reliability and cutting-edge features, making it an invaluable tool for modern enterprises. Its capabilities are continually evolving to meet the dynamic needs of businesses in a rapidly changing environment.

Are the standard Plug-N-Play Dashboards not sufficient for your needs? You can either utilize an instant dashboard or create one from the ground up. Slemma's robust editor empowers users to easily construct, filter, and modify charts as needed. The developers at Slemma have curated a collection of Dashboards tailored specifically to your data source integrations. Position yourself for success by designing your own dashboard templates that can be shared internally or with clients. With complete white-label capabilities, Slemma enables users to fully customize the application to reflect their brand, including colors, logos, dashboards, and custom URLs. One of Slemma’s standout features is its Dynamic Filtering, which enhances client reporting by allowing you to maintain a single dashboard or dataset accessible to all your clients. Each client will only view the information relevant to them, ensuring a completely personalized experience tailored to their business needs. This capability allows your users to enjoy a fully branded Slemma dashboard right from your website or application, enhancing their experience and engagement. Ultimately, Slemma's features aim to provide versatile solutions that cater to varying business requirements.

NPS Software for your business. Start collecting customer feedback by sending a simple Net Promoter Score® survey. Our automated survey platform will help increase response rates, collect actionable customer feedback, and maximize business growth. Multiple campaigns can be run to survey different audiences based on predefined schedules or events that were triggered in another application. You can combine email and in-app templates to reach customers on the channels that are most likely to respond to your surveys. You can personalize the survey templates' design and language and create a follow-up question that is based on the feedback. You can increase your response rate by using your domain and A/B testing subject lines. Also, have your audience verified for deliverability. Keep track of all the surveys sent to your audience. Workflows allow you to automate different processes and create unique scenarios.

CloudCheckr unites IT, security, and finance teams around cloud. It provides total visibility, deep insights, cloud automation, and governance. CloudCheckr is a cloud management tool that helps businesses manage their cloud environments and protect their cost. AWS Advanced Technology Partner with Security and Government competencies and a certified Silver Partner for Azure, we can support multi- and hybrid-cloud strategies.

JWP is a video platform boasting 40,000 broadcasters, publishers, and other video-driven brands whose business relies on video as users. JWP provides these companies with a way to accelerate and scale their video strategy and is a video platform that can be used to stream video, engage audiences on any screen, and monetize content.

Embark on your DevOps journey and streamline application delivery with a cohesive and robust workflow. The path to continuous delivery begins here. Clarive stands out as the pioneering tool that offers an integrated experience for both Development and Operations teams. Establish and plan your milestones, quality checkpoints, and releases in alignment with your product vision and objectives. Package your source code or any related artifacts into changesets that facilitate various review, testing, or deployment workflows. Track your release journey through various stages and environments, while fostering collaboration and iterative improvements using kanban boards and discussions. Automate your release pipelines to set up infrastructure, manage dependencies, and deploy components seamlessly. This solution is perfect for Development teams eager to adopt lean delivery practices and optimize their workflows. It also serves Operations teams aiming to unify all delivery processes, break down silos, and effectively manage application dependencies. By consolidating tools, you can save both time and resources, paving the way for a more efficient and productive DevOps environment. Embrace this opportunity to enhance your collaborative efforts and achieve your goals with greater efficiency.

NGINX Open Source is the web server that supports over 400 million websites globally. Built upon this foundation, NGINX Plus serves as a comprehensive software load balancer, web server, and content caching solution. By opting for NGINX Plus instead of traditional hardware load balancers, organizations can unlock innovative possibilities without being limited by their infrastructure, achieving cost savings of over 80% while maintaining high performance and functionality. It can be deployed in a variety of environments, including public and private clouds, bare metal, virtual machines, and container setups. Additionally, the integrated NGINX Plus API simplifies the execution of routine tasks, enhancing operational efficiency. For today's NetOps and DevOps teams, there is a pressing need for a self-service, API-driven platform that seamlessly integrates with CI/CD workflows, facilitating faster app deployments regardless of whether the application utilizes a hybrid or microservices architecture, which ultimately streamlines the management of the application lifecycle. In a rapidly evolving technological landscape, NGINX Plus stands out as a vital tool for maximizing agility and optimizing resource utilization.

Varnish Software's powerful caching technology allows the largest content providers in the world to deliver lightning-fast streaming and web experiences for large audiences without any downtime or loss of performance. Our solution combines open source flexibility with enterprise robustness to speed media streaming services, accelerate websites, APIs, and allow global businesses to create custom CDNs. This will unlock unbeatable content delivery performance, resilience, and customization. Varnish Enterprise is the core technology available: - on-premise - Cloud - Hybrid environments Hulu, Emirates, and Tesla are among our customers. Our technology is powered with a caching layer that's trusted worldwide by more than 10,000,000 websites.

Enhance team efficiency by directing alerts to the appropriate individuals, facilitating swift collaboration and resolution of issues. By ensuring that alerts reach the right recipients, you can minimize the time taken to acknowledge and rectify incidents. Our complete ChatOps experience seamlessly integrates with your existing tools, offering incident timelines and reporting functionalities that support blameless post-incident analysis. Foster engagement by meeting individuals in their work environments; our mobile-first solutions utilize machine learning to provide on-call accessibility from any location. Splunk On-Call streamlines incident management processes, alleviating alert fatigue and promoting higher uptime rates. Utilize Splunk On-Call to optimize your on-call schedules and escalation frameworks, automating everything from rotations to overrides. Our platform delivers contextual alert details, machine learning-based suggestions, and enhances collaboration to efficiently tackle issues, all while meticulously documenting crucial remediation information for future reference. This allows teams to not only resolve incidents promptly but also to learn from them to improve future responses.

OverOps immediately identifies at runtime the critical issues that break backend Java or.NET applications. This eliminates the need to search logs for duplicates. OverOps analyses code at runtime, unlike logs, static testing, or APM which require foresight. OverOps does not require code changes and integrates with your existing CI/CD tools. It continues to do so from pre-prod to production.

Effortlessly collaborate on your projects with Lighthouse, whether you're a small team of five or a larger studio of fifty. This tool streamlines project development, allowing you to maintain focus on what truly matters while eliminating unnecessary steps in your workflow. By simplifying your tasks, Lighthouse empowers you to concentrate on the job you were hired to perform. Start your journey with a free trial that requires no credit card. As you generate and label issues, they are automatically organized in the background for your convenience. Enjoy a hassle-free experience by creating and responding to tickets straight from your inbox. You can easily monitor the status of all your projects with a clear overview and stay updated through various feeds. Your team can also generate new Lighthouse tickets directly from Tender, our customer support platform, enhancing communication. Utilize milestones to strategically plan features and set release timelines. Additionally, you can attach relevant documents or images to tickets, ensuring that all team members have easy access to necessary resources. With Lighthouse, staying organized and efficient has never been easier.

All data sources, including topology, monitoring, change, and observation tools, are aggregated. BigPanda's Open Box Machine Learning will combine the data into a limited number of actionable insights. This allows incidents to be detected as they occur, before they become outages. Automatically identifying the root cause of problems can speed up incident and outage resolution. BigPanda identifies both root cause changes and infrastructure-related root causes. Rapidly resolve outages and incidents. BigPanda automates the incident response process, including ticketing, notification, tickets, incident triage, and war room creation. Integrating BigPanda and enterprise runbook automation tools will accelerate remediation. Every company's lifeblood is its applications and cloud services. Everyone is affected when there is an outage. BigPanda consolidates AIOps market leadership with $190M in funding and a $1.2B valuation

Contentsquare's digital analytics cloud for customer behavior helps companies to understand and implement strategies that will help them achieve more success. Conventional web analytics do not give you the whole picture. Traditional tools can be difficult to use and even more difficult to interpret, providing data that only specialists can understand. We make it easy. It's easy to see how customers use your website or app with our intuitive visual reporting. Contentsquare automatically highlights your most pressing issues and opportunities. It's like having a team of analysts to analyze your data and give you a smarter list. Identify the most important UX issues that are costing your online customers and prioritize them. Watch the exact sessions that cause friction and errors. Identify and prioritize errors based on revenue impact.

The newest advancement in predictive marketing analytics merges the identification of anonymous website visitors with B2B intent data. Company Surge® allows you to recognize web visitors who are currently exploring topics pertinent to your industry, thus establishing the quickest pathway from unidentified online visitors to valuable sales leads. VisitorTrack functions similarly to having Caller ID for your website, revealing anonymous business visitors, the pages they browse, and the related subjects they investigate, all without necessitating any form of registration. Company Surge® provides B2B Intent Data that highlights the most significant topics being researched by these web visitors. By utilizing intent scores, you can identify businesses indicating they are in an active purchasing phase. Moreover, VisitorTrack comes equipped with a vast contacts database that contains millions of precise business records, enabling you to save and export business emails and direct phone numbers linked to your targeted job titles. This powerful tool not only enhances your marketing strategy but also streamlines the lead generation process, making it easier to connect with potential clients.

Lytics, the customer-data platform designed for marketers, harnesses the power of first-party information to understand your customers' needs. Lytics' decision engine uses machine-learning to understand your customers' needs. This helps marketers deliver timely, relevant communications across multiple channels. Lytics AI will help you identify the levers that can be pulled to increase results and improve ROI. Engage customers with personalized messages and targeted campaigns that are tailored to their needs. Maximize your impact by predictive marketing strategies that are shaped by the actions of your customers, not your assumptions.

Container-based workloads, full GPU support and autoscaling. Custom built solutions. Worker will take care of your jobs so that you can concentrate on your application. Hosted background job solution that allows you to manage your containers with dynamic scale and detailed analytics. You can run short-term containers quickly or containers that need to be used over multiple days. We can help you with any job, no matter how small or large. You can confidently containerize your background tasks. Our shared infrastructure will allow you to run your containers. You can use dedicated hardware to support your workloads. This is a great option if you need consistent performance and throughput. Our autoscale technology allows you to scale up or down depending on your usage. We manage scheduling, authentication, and all other details. You can run workers on your hardware. This is a great option if you have your own infrastructure or have higher security requirements.

Leverage data and automation to safeguard your multi-cloud setup, accurately assess risks, and foster innovation with assurance. Accelerate your development process by integrating security from the very beginning of your coding journey. Acquire actionable security insights to efficiently build applications while proactively addressing potential issues before they enter production, all seamlessly integrated into your current workflows. Our advanced platform harnesses patented machine learning and behavioral analytics to intuitively understand the typical behavior of your environment, flagging any anomalies that arise. With comprehensive visibility, you can monitor every aspect of your multi-cloud ecosystem, identifying threats, vulnerabilities, misconfigurations, and any irregular activities. Data and analytics enhance precision to an unmatched degree, ensuring that only the most critical alerts are highlighted while eliminating unnecessary noise. As the platform continuously evolves, rigid rules become less necessary, allowing for more flexibility in your security approach. This adaptability empowers teams to focus on innovation without compromising safety.

Effortlessly scale your applications on Compute Engine from idle to peak performance using Cloud Load Balancing without the need for pre-warming. You can effectively distribute your load-balanced resources across one or several regions, ensuring proximity to your users while fulfilling high availability demands. With Cloud Load Balancing, your resources can be managed behind a single anycast IP, allowing for seamless scaling up or down through intelligent autoscaling features. The service offers various configurations and is integrated with Cloud CDN, enhancing application performance and content delivery. Moreover, Cloud Load Balancing employs a single anycast IP to manage all your backend instances globally. It also ensures cross-region load balancing and automatic multi-region failover, skillfully redirecting traffic in small increments if any backends experience issues. Unlike traditional DNS-based global load balancing solutions, Cloud Load Balancing provides immediate responses to fluctuations in user activity, network conditions, backend health, and more, adapting to ensure optimal performance. This rapid adaptability makes it an ideal choice for businesses requiring reliable and efficient resource management.

Azure Machine Learning Studio enables organizations to streamline the entire machine learning lifecycle from start to finish. Equip developers and data scientists with an extensive array of efficient tools for swiftly building, training, and deploying machine learning models. Enhance the speed of market readiness and promote collaboration among teams through leading-edge MLOps—akin to DevOps but tailored for machine learning. Drive innovation within a secure, reliable platform that prioritizes responsible AI practices. Cater to users of all expertise levels with options for both code-centric and drag-and-drop interfaces, along with automated machine learning features. Implement comprehensive MLOps functionalities that seamlessly align with existing DevOps workflows, facilitating the management of the entire machine learning lifecycle. Emphasize responsible AI by providing insights into model interpretability and fairness, securing data through differential privacy and confidential computing, and maintaining control over the machine learning lifecycle with audit trails and datasheets. Additionally, ensure exceptional compatibility with top open-source frameworks and programming languages such as MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R, thus broadening accessibility and usability for diverse projects. By fostering an environment that promotes collaboration and innovation, teams can achieve remarkable advancements in their machine learning endeavors.

Enhance financial accountability by leveraging smart resource allocation and precise monitoring of cloud metering and chargeback through NCM Cost Governance, previously known as Beam. By utilizing this system, organizations can gain improved visibility, optimize performance, and maintain control throughout public, private, and hybrid multi-cloud environments, ensuring that cloud expenditures remain manageable. Understanding spending across both public and private clouds streamlines the processes of cost management and governance in multi-cloud scenarios. Companies can realize savings by automating various tasks, adjusting resource sizes appropriately, and making informed decisions about reserved instance purchases. Resource costs can be allocated on a consumption basis, while a multifaceted chargeback approach reinforces governance efforts. The total cost of ownership accurately reflects the true expenses associated with operating a private cloud, incorporating all IT administrative costs as determined by customizable industry benchmarks. Furthermore, organizations can automatically generate reports detailing cloud consumption to assign untagged expenses to specific cost centers, and they can configure budget alerts to maintain costs within desired limits, ultimately fostering a culture of financial discipline. This proactive approach to cloud cost management not only enhances visibility but also drives strategic decision-making across the organization.

Torii is a SaaS platform for managing your SaaS business. It transforms how companies operate by creating an autonomous IT that allows IT to increase velocity and agility. Torii allows IT professionals to optimize and control SaaS costs and discover SaaS usage within their organizations. Torii provides instant visibility and control of all company-wide SaaS applications (cross G Suite, Okta and Dropbox), giving IT control over SaaS. Companies use Torii for: 1. Automated visibility of all SaaS app usage 2. SaaS apps waste and cost tracking 3. Automated, compliant employee on-boarding/off-boarding 4. SaaS License Management and Renewals Torii's customers include Pipedrive, Delivery Hero and Via.

IBM Cloud® Kubernetes Service offers a certified and managed Kubernetes platform designed for the deployment and management of containerized applications on IBM Cloud®. This service includes features like intelligent scheduling, self-healing capabilities, and horizontal scaling, all while ensuring secure management of the necessary resources for rapid deployment, updating, and scaling of applications. By handling the master management, IBM Cloud Kubernetes Service liberates users from the responsibilities of overseeing the host operating system, the container runtime, and the updates for the Kubernetes version. This allows developers to focus more on building and innovating their applications rather than getting bogged down by infrastructure management. Furthermore, the service’s robust architecture promotes efficient resource utilization, enhancing overall performance and reliability.

Mux Video is an API-centric platform crafted by video specialists, utilizing data to enable stunning video experiences for any development team. With just a few lines of code in your preferred programming language, you can seamlessly integrate streaming video. Mux is equipped to support video workflows of varying complexities. Its data-driven technology ensures that encoding and delivery are automatically optimized for flawless performance across all devices, every single time. Whether you’re working with the latest devices or different formats, Mux is capable of managing it all effortlessly. Benefit from over a decade of expertise in constructing video infrastructure to maintain your competitive edge. Instead of locking you into a specific player, we allow flexibility by enabling integration with any video player of your choice. If you’re still in the process of selecting a video player, our experience in creating a top-tier open-source web player enables us to assist you in choosing the best option for your application, whether it be web-based or native. Additionally, Mux's commitment to user satisfaction ensures that you receive continuous support and updates as technology evolves.

Anthos enables the creation, deployment, and management of applications in a secure and uniform way, regardless of location. It facilitates the modernization of legacy applications operating on virtual machines while simultaneously allowing for the launch of cloud-native applications utilizing containers in a complex hybrid and multi-cloud landscape. By offering a seamless development and operational experience across all deployments, Anthos significantly lowers operational burdens and enhances developer efficiency. Anthos GKE serves as a robust container orchestration and management solution, suitable for running Kubernetes clusters both in cloud environments and on-premises. Anthos Config Management allows organizations to define, automate, and enforce policies across various environments, ensuring adherence to specific security and compliance standards. Furthermore, Anthos Service Mesh alleviates the challenges faced by operations and development teams, enabling them to effectively manage and secure service traffic while also monitoring and optimizing application performance. This comprehensive platform thus supports businesses in navigating the complexities of modern application development and deployment.

Azure Cosmos DB offers a fully managed NoSQL database solution tailored for contemporary application development, ensuring single-digit millisecond response times and an impressive availability rate of 99.999 percent, all supported by service level agreements. This service provides automatic, instantaneous scalability and supports open-source APIs for MongoDB and Cassandra, allowing for rapid data operations. With its turnkey multi-master global distribution, users can experience swift read and write operations from any location around the globe. Additionally, Azure Cosmos DB enables organizations to accelerate their decision-making processes by facilitating near-real-time analytics and AI capabilities on the operational data housed within the database. Furthermore, Azure Synapse Link for Azure Cosmos DB integrates effortlessly with Azure Synapse Analytics, ensuring smooth performance without necessitating data movement or compromising the efficiency of the operational data store, enhancing the overall functionality of your data strategy. This integration not only streamlines workflows but also empowers users to derive insights more efficiently.

Amazon Neptune is an efficient and dependable graph database service that is fully managed, facilitating the development and operation of applications that handle intricate, interconnected datasets. At its heart, Amazon Neptune features a specialized, high-performance database engine tailored for the storage of billions of relationships while enabling rapid querying with latency measured in milliseconds. It accommodates widely-used graph models, including Property Graph and W3C's RDF, along with their associated query languages, Apache TinkerPop Gremlin and SPARQL, which simplifies the process of crafting queries for navigating complex datasets. This service supports various graph-based applications, including recommendation systems, fraud detection mechanisms, knowledge graphs, drug discovery initiatives, and enhanced network security protocols. With a proactive approach, it enables the detection and analysis of IT infrastructure threats through a multi-layered security framework. Furthermore, it allows users to visualize their entire infrastructure to effectively plan, forecast, and address potential risks, while also enabling the creation of graph queries for the near-real-time identification of fraudulent patterns in financial and purchasing activities, thereby enhancing overall security and efficiency.

IBM Db2 encompasses a suite of data management solutions, prominently featuring the Db2 relational database. These offerings incorporate AI-driven functionalities designed to streamline the management of both structured and unstructured data across various on-premises and multicloud settings. By simplifying data accessibility, the Db2 suite empowers businesses to leverage the advantages of AI effectively. Most components of the Db2 family are integrated within the IBM Cloud Pak® for Data platform, available either as additional features or as built-in data source services, ensuring that nearly all data is accessible across hybrid or multicloud frameworks to support AI-driven applications. You can easily unify your transactional data repositories and swiftly extract insights through intelligent, universal querying across diverse data sources. The multimodel functionality helps reduce expenses by removing the necessity for data replication and migration. Additionally, Db2 offers enhanced flexibility, allowing for deployment on any cloud service provider, which further optimizes operational agility and responsiveness. This versatility in deployment options ensures that businesses can adapt their data management strategies as their needs evolve.

Terraform is a powerful open-source tool for managing infrastructure as code, offering a consistent command-line interface to interact with numerous cloud services. By translating cloud APIs into declarative configuration files, Terraform enables users to define their infrastructure requirements clearly. Infrastructure can be written using these configuration files, leveraging the HashiCorp Configuration Language (HCL), which provides a straightforward way to describe resources through blocks, arguments, and expressions. Before making any changes to your infrastructure, executing the command terraform plan allows you to verify that the proposed execution plan aligns with your expectations. To implement the desired configuration, you can use terraform apply, which facilitates the application of changes across a wide range of cloud providers. Furthermore, Terraform empowers users to manage the entire lifecycle of their infrastructure — from creating new resources to overseeing existing ones and eventually removing those that are no longer necessary, ensuring efficient management of cloud environments. This holistic approach to infrastructure management helps streamline operations and reduces the risk of errors during deployment.

A comprehensive multi-cloud service networking solution designed to link and secure services across various runtime environments and both public and private cloud infrastructures. It offers real-time updates on the health and location of all services, ensuring progressive delivery and zero trust security with minimal overhead. Users can rest assured that all HCP connections are automatically secured, providing a strong foundation for safe operations. Moreover, it allows for detailed insights into service health and performance metrics, which can be visualized directly within the Consul UI or exported to external analytics tools. As many contemporary applications shift towards decentralized architectures rather than sticking with traditional monolithic designs, particularly in the realm of microservices, there arises a crucial need for a comprehensive topological perspective on services and their interdependencies. Additionally, organizations increasingly seek visibility into the health and performance metrics pertaining to these various services to enhance operational efficiency. This evolution in application architecture underscores the importance of robust tools that facilitate seamless service integration and monitoring.

Internet Information Services (IIS) on Windows® Server serves as a versatile, secure, and easily manageable web server suitable for a wide array of online hosting needs. Whether it's media streaming or complex web applications, IIS boasts a scalable and open framework designed to meet even the highest demands with efficiency. Its robust features allow for seamless integration and performance across various internet-based services.

Amazon Connect is a user-friendly omnichannel cloud contact center that enables organizations to deliver exceptional customer service while reducing expenses. Over a decade ago, the retail division of Amazon sought a contact center solution that would offer our customers personalized, engaging, and natural interactions, but we could not find one that fulfilled our requirements, so we decided to create our own. This innovative platform is now accessible to all businesses, and currently, thousands of companies with agent counts ranging from ten to tens of thousands utilize Amazon Connect to assist millions of customers each day. Built from its inception to be omnichannel, Amazon Connect ensures a cohesive experience across voice and chat for both customers and agents alike. It offers a unified set of tools for skills-based routing, robust real-time and historical analytics, and easy-to-navigate management features—all under a pay-as-you-go pricing model. This approach not only streamlines contact center operations but also enhances agent efficiency while significantly cutting costs. With its comprehensive features, Amazon Connect is revolutionizing the way businesses interact with their customers.

Appvance IQ (AIQ), delivers transformative productivity gains and lower costs for both test creation and execution. It offers both AI-driven (fully automated tests) and 3rd-generation codeless scripting for test creation. These scripts are then executed using data-driven functional and performance, app-pen, and API testing -- both for web and mobile apps. AIQ's self healing technology allows you to cover all code with only 10% of the effort required by traditional testing systems. AIQ detects important bugs automatically and with minimal effort. No programming, scripting, logs, or recording are required. AIQ can be easily integrated with your existing DevOps tools, processes, and tools.

Massive amounts data can be moved as messages between services, applications and systems at any one time. If an application isn’t available or a service interruption occurs, messages and transactions may be lost or duplicated. This can cost businesses time and money. IBM has refined IBM MQ over the past 25 years. MQ allows you to hold a message in a queue until it is delivered. MQ moves data once, even file data, to avoid competitors delivering messages twice or not at the right time. MQ will never lose a message. IBM MQ can be run on your mainframe, in containers, in public or private clouds or in containers. IBM offers an IBM-managed cloud service (IBM MQ Cloud), hosted on Amazon Web Services or IBM Cloud, as well as a purpose-built Appliance (IBM MQ Appliance), to simplify deployment and maintenance.

Amazon Simple Queue Service (SQS) is a fully managed message queuing platform designed to help you decouple and scale microservices, distributed systems, and serverless applications. By removing the complexity and overhead typically associated with message-oriented middleware, SQS allows developers to concentrate on more impactful tasks. With SQS, you can effortlessly send, store, and receive messages between various software components at any scale, ensuring message integrity and independence from other services. You can quickly begin using SQS in just minutes through the AWS console, Command Line Interface, or your preferred SDK, executing three straightforward commands. This service enables the transmission of any data volume at any throughput level while maintaining message reliability and service independence. Additionally, SQS facilitates the decoupling of application components, which allows them to operate and fail independently, ultimately enhancing the fault tolerance of the overall system. By leveraging SQS, organizations can achieve greater resilience and adaptability in their application architecture.

Amazon Simple Notification Service (SNS) is a comprehensive messaging platform designed for both system-to-system and app-to-person (A2P) communications. It facilitates interaction between systems through a publish/subscribe (pub/sub) model, allowing messages to flow seamlessly between independent microservice applications or directly to users via SMS, mobile push notifications, and email. The pub/sub capabilities for system-to-system interactions support topics that enable high-throughput, push-based, many-to-many messaging. By leveraging Amazon SNS topics, your publishing systems can efficiently distribute messages to a wide array of subscriber systems or customer endpoints, including Amazon SQS queues, AWS Lambda functions, and HTTP/S, thus allowing for concurrent processing. Additionally, the A2P messaging feature empowers you to send messages to users on a large scale, utilizing either a pub/sub model or direct-publish messages through a unified API. This flexibility enhances communication strategies for businesses aiming to engage their users effectively.

Managed Service for Apache Spark is a unified Google Cloud platform designed to run Apache Spark workloads with greater ease, performance, and scalability. It offers both serverless and fully managed cluster deployment options, allowing users to choose the best model for their needs. The platform eliminates the need for infrastructure management, enabling teams to focus on data processing and analytics. With Lightning Engine, it delivers up to 4.9x faster performance than open-source Spark, improving efficiency for large-scale workloads. It integrates AI-powered tools like Gemini to assist with code generation, debugging, and workflow optimization. The service supports open data formats such as Apache Iceberg and connects seamlessly with Google Cloud services like BigQuery and Knowledge Catalog. It is designed for a wide range of use cases, including ETL pipelines, machine learning, and lakehouse architectures. Built-in security features and IAM integration ensure strong data governance. Flexible pricing models allow users to pay based on job execution or cluster uptime. Overall, it helps organizations modernize their data infrastructure and accelerate analytics workflows.

Google Cloud Pub/Sub offers a robust solution for scalable message delivery, allowing users to choose between pull and push modes. It features auto-scaling and auto-provisioning capabilities that can handle anywhere from zero to hundreds of gigabytes per second seamlessly. Each publisher and subscriber operates with independent quotas and billing, making it easier to manage costs. The platform also facilitates global message routing, which is particularly beneficial for simplifying systems that span multiple regions. High availability is effortlessly achieved through synchronous cross-zone message replication, coupled with per-message receipt tracking for dependable delivery at any scale. With no need for extensive planning, its auto-everything capabilities from the outset ensure that workloads are production-ready immediately. In addition to these features, advanced options like filtering, dead-letter delivery, and exponential backoff are incorporated without compromising scalability, which further streamlines application development. This service provides a swift and dependable method for processing small records at varying volumes, serving as a gateway for both real-time and batch data pipelines that integrate with BigQuery, data lakes, and operational databases. It can also be employed alongside ETL/ELT pipelines within Dataflow, enhancing the overall data processing experience. By leveraging its capabilities, businesses can focus more on innovation rather than infrastructure management.

AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.

Amazon MQ is a cloud-based managed message broker service that utilizes Apache ActiveMQ, simplifying the process of establishing and running message brokers. These brokers facilitate communication and information exchange between various software systems, which may be built with different programming languages and operate on distinct platforms. By managing the provisioning, setup, and upkeep of ActiveMQ, a widely-used open-source message broker, Amazon MQ significantly eases your operational burden. Integrating your existing applications with Amazon MQ is straightforward, as it supports industry-standard APIs and messaging protocols such as JMS, NMS, AMQP, STOMP, MQTT, and WebSocket. This adherence to standards often eliminates the need to alter existing messaging code when transitioning to AWS. With just a few clicks in the Amazon MQ Console, you can provision your broker while ensuring compatibility with version upgrades, allowing you to utilize the latest version supported by Amazon MQ. After the broker is set up, your applications will be able to seamlessly produce and consume messages, streamlining your workflow and enhancing overall efficiency. Additionally, this service provides scalability, allowing you to adjust resources based on your application's needs, ensuring optimal performance at all times.

AWS X-Ray is a powerful tool that assists developers in analyzing and debugging distributed applications in production, particularly those constructed with a microservices architecture. This service enables you to gain insights into the performance of your applications and the services they rely on, helping to pinpoint the root causes of performance-related issues and errors. X-Ray offers a comprehensive view of requests as they move through your application, along with a visual representation of the various components involved. It is applicable for analyzing applications at different stages, whether in development or production, and it can handle everything from straightforward three-tier systems to intricate microservices architectures with thousands of interconnected services. By leveraging X-Ray, teams can enhance their understanding of application behavior, ultimately leading to more efficient troubleshooting and optimization processes.

Scale effortlessly and without constraints: This globally distributed database, compliant with ACID principles, automatically manages replicas, sharding, and transaction processing, allowing you to rapidly adapt to varying usage patterns and drive your product's success. Built on Google's robust and reliable infrastructure, Cloud Spanner has been proven through its extensive use by numerous Google services that cater to billions of users. It boasts an impressive availability rate of up to 99.999%, ensuring zero downtime during planned maintenance or schema updates. By simplifying tasks that often go unappreciated, Cloud Spanner provides a more straightforward experience for IT administrators and database administrators, who frequently find themselves overwhelmed with database management. Now, with just a few clicks, you can create or scale a globally replicated database, significantly lowering your database maintenance costs. As a result, teams can focus more on innovation rather than routine operational challenges.

cPacket provides network-aware application performance for distributed hybrid-IT environments and security assurance. Our single-pane of-glass analytics enable machine learning-based AIOps. cPacket allows you to manage, secure, and future-proof your network, enabling digital transformation. This industry's most comprehensive, yet simple network visibility stack offers all you need to manage your hybrid network across branch and data center, as well as the cloud.

Efficiently distribute both internet and private network traffic to achieve optimal performance with minimal latency. Instantly enhance the scalability of your applications while ensuring consistent high availability. The Load Balancer operates seamlessly across virtual machines, virtual machine scale sets, and various IP addresses. It is specifically designed to manage network layer traffic, catering to situations where exceptional performance and ultra-low latency are essential. The Standard Load Balancer directs traffic not only within regions but also across them, including availability zones, ensuring robust resiliency. You can develop highly available and scalable applications in just minutes thanks to the integrated application load balancing feature for cloud services and virtual machines. Furthermore, the Load Balancer supports a variety of protocols, including TCP/UDP-based ones like HTTP, HTTPS, and SMTP, as well as those utilized in real-time voice and video communication applications. It also allows for effective traffic management between virtual machines within your private virtual networks or can be leveraged to build complex multi-tier hybrid applications, providing flexibility and control over your network architecture.

Amazon ElastiCache enables users to effortlessly establish, operate, and expand widely-used open-source compatible in-memory data stores in the cloud environment. It empowers the development of data-driven applications or enhances the efficiency of existing databases by allowing quick access to data through high throughput and minimal latency in-memory stores. This service is particularly favored for various real-time applications such as caching, session management, gaming, geospatial services, real-time analytics, and queuing. With fully managed options for Redis and Memcached, Amazon ElastiCache caters to demanding applications that necessitate response times in the sub-millisecond range. Functioning as both an in-memory data store and a cache, it is designed to meet the needs of applications that require rapid data retrieval. Furthermore, by utilizing a fully optimized architecture that operates on dedicated nodes for each customer, Amazon ElastiCache guarantees incredibly fast and secure performance for its users' critical workloads. This makes it an essential tool for businesses looking to enhance their application's responsiveness and scalability.

StatusTicker enables you to keep track of and oversee the performance of your essential services from a single platform. You can display your Ticker on an office screen, while also receiving instant alerts through various channels such as email, SMS, Slack, and webhook for you and your team. This ensures that everyone stays informed and can respond promptly to any issues that may arise.

NServiceBus is the most user-friendly service bus for.NET. NServiceBus is used by more than 50,000 developers every day. NServiceBus is backed by a solid distributed development methodology and a global community of experts, consultants, and contributors. It offers enterprise-grade scalability for your workflows. NServiceBus is used extensively in mission-critical systems, business domains, and usage scenarios. NServiceBus' performance and scalability are proven and ready to take on the most difficult assignments. Reliable integration with automatic restarts. Reliable by default. With configurable mechanisms to retry failures using best practices in messaging and lessons learned from thousands production usage scenarios. Workflow and background task scheduling.

Elastic Load Balancing efficiently directs incoming application traffic to various destinations, including Amazon EC2 instances, containers, IP addresses, Lambda functions, and virtual appliances. It allows you to manage the fluctuating load of your application traffic across a single zone or multiple Availability Zones. With four distinct types of load balancers, Elastic Load Balancing ensures that your applications maintain high availability, automatic scalability, and robust security, making them resilient to faults. As an integral part of the AWS ecosystem, it is designed with an understanding of fault limits, such as Availability Zones, which ensures your applications remain operational within a single region without the need for Global Server Load Balancing (GSLB). Additionally, ELB is a fully managed service, enabling you to concentrate on application delivery rather than the complexities of deploying numerous load balancers. Furthermore, capacity is dynamically adjusted based on the demand for the underlying application servers, optimizing resource utilization effectively. This intelligent scaling capability allows businesses to better respond to varying traffic levels and enhances overall application performance.