Amazon CloudWatch Integrations

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.

Amazon GuardDuty serves as a proactive threat detection solution that consistently observes for harmful activities and unauthorized actions to safeguard your AWS accounts, workloads, and data housed in Amazon S3. While the cloud facilitates the effortless collection and aggregation of both account and network activities, security teams often find it labor-intensive to continuously sift through event log data in search of potential threats. GuardDuty offers a smart and budget-friendly alternative for ongoing threat detection within the AWS environment. Utilizing machine learning, anomaly detection, and built-in threat intelligence, this service effectively identifies and ranks potential threats. It scrutinizes tens of billions of events across various AWS data sources, including AWS CloudTrail event logs, Amazon VPC Flow Logs, and DNS logs. Enabling GuardDuty requires just a few clicks in the AWS Management Console, and there is no need to deploy or manage any software or hardware. This streamlined process allows organizations to focus more on their core activities, knowing that their cloud infrastructure is being continuously monitored for security risks.

Amazon Macie is an entirely managed service focused on data security and privacy that leverages machine learning and pattern recognition to locate and safeguard sensitive information within AWS. As organizations grapple with the increasing amounts of data they generate, the task of identifying and securing sensitive information can become more complex, costly, and labor-intensive. By automating the process of discovering sensitive data at scale, Amazon Macie helps reduce the financial burden associated with data protection. It generates an inventory of Amazon S3 buckets, highlighting unencrypted buckets, those that are publicly accessible, and those shared with AWS accounts outside your designated AWS Organizations. Additionally, Macie utilizes machine learning and pattern matching methods on the selected buckets to pinpoint and notify you about sensitive data, including personally identifiable information (PII), ensuring that your organization remains compliant and secure. Furthermore, by streamlining this process, Macie enables businesses to focus more on their core operations while maintaining robust data security practices.

Centralize, transform, and store your data seamlessly. Logstash serves as a free and open-source data processing pipeline on the server side, capable of ingesting data from numerous sources, transforming it, and then directing it to your preferred storage solution. It efficiently handles the ingestion, transformation, and delivery of data, accommodating various formats and levels of complexity. Utilize grok to extract structure from unstructured data, interpret geographic coordinates from IP addresses, and manage sensitive information by anonymizing or excluding specific fields to simplify processing. Data is frequently dispersed across multiple systems and formats, creating silos that can hinder analysis. Logstash accommodates a wide range of inputs, enabling the simultaneous collection of events from diverse and common sources. Effortlessly collect data from logs, metrics, web applications, data repositories, and a variety of AWS services, all in a continuous streaming manner. With its robust capabilities, Logstash empowers organizations to unify their data landscape effectively. For further information, you can download it here: https://sourceforge.net/projects/logstash.mirror/

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.

The AWS Personal Health Dashboard is a suite of technologies and tools designed to oversee, manage, and enhance your AWS ecosystem. This dashboard offers alerts and remediation advice whenever AWS encounters events that might influence your operations. In contrast to the Service Health Dashboard, which shows the overall status of AWS services, the Personal Health Dashboard provides a tailored perspective on the performance and availability of the AWS services that support your resources. It presents pertinent and timely data to assist you in handling ongoing events and offers proactive notifications to facilitate planning for upcoming activities. With this dashboard, alerts are generated based on modifications in the health of AWS resources, granting you visibility into events and guidance to swiftly identify and resolve problems. Additionally, the AWS Personal Health Dashboard allows for granular access control, enabling you to establish permissions that are based on specific event metadata, which can help enhance security and operational efficiency. By utilizing this tool, you can ensure a more robust management approach for your AWS environment.

Empower individuals to explore and analyze streaming data effectively. By sharing, documenting, and organizing your data, you can boost productivity by as much as 95%. Once you have your data, you can create applications tailored for real-world use cases. Implement a security model focused on data to address the vulnerabilities associated with open source technologies, ensuring data privacy is prioritized. Additionally, offer secure and low-code data pipeline functionalities that enhance usability. Illuminate all hidden aspects and provide unmatched visibility into data and applications. Integrate your data mesh and technological assets, ensuring you can confidently utilize open-source solutions in production environments. Lenses has been recognized as the premier product for real-time stream analytics, based on independent third-party evaluations. With insights gathered from our community and countless hours of engineering, we have developed features that allow you to concentrate on what generates value from your real-time data. Moreover, you can deploy and operate SQL-based real-time applications seamlessly over any Kafka Connect or Kubernetes infrastructure, including AWS EKS, making it easier than ever to harness the power of your data. By doing so, you will not only streamline operations but also unlock new opportunities for innovation.

Zesty’s cloud infrastructure optimization platform offers solutions for databases, storage and compute. It also helps companies reduce cloud spending. Zesty, powered by machine learning and automation, provides FinOps/DevOps teams actionable insights to fit real-time applications and achieve optimal utilization of cloud resources. Zesty Commitment Manager optimizes EC2 discount plans and RDS automatically, ensuring maximum coverage with deeper savings. This is done with minimal financial risk. Zesty Disk automatically scales EBS volumes up or down to match real-time applications needs. This optimizes storage utilization, eliminates the risk of downtime and reduces costs by up 70%. Zesty Insights gives you a clear view of your potential savings, unused resources and offers actionable suggestions that will help you focus on saving the most money.

Beats serves as a free and accessible platform designed specifically for single-purpose data shippers that transport data from numerous machines and systems to Logstash or Elasticsearch. These open-source data shippers are installed as agents on your servers, enabling the seamless transfer of operational data to Elasticsearch. Elastic offers Beats to facilitate the collection of data and event logs efficiently. Data can be directed to Elasticsearch or routed through Logstash, allowing for additional processing and enhancement before visualization in Kibana. If you're eager to start monitoring infrastructure metrics and centralizing log analytics swiftly, the Metrics app and Logs app in Kibana are excellent resources to explore. For comprehensive guidance, refer to Analyze metrics and Monitor logs. Filebeat simplifies the process of collecting data from various sources, including security devices, cloud environments, containers, and hosts, by providing a lightweight solution to forward and centralize logs and files. This flexibility ensures that you can maintain an organized and efficient data pipeline regardless of the complexity of your infrastructure.

Designed specifically for cloud-native environments, EraSearch offers a versatile data fabric that utilizes separate storage and processing capabilities, a genuine zero-schema architecture, and smart indexing to provide a log management solution that scales infinitely while significantly lowering both cost and complexity. Unlike many log management tools built on Elasticsearch, EraSearch was developed from the ground up to address its major shortcomings. By adopting a stateless architecture for its essential components, EraSearch allows for seamless management through Kubernetes, making it a pleasure to operate. The innovative coordination-free ingest method enables EraSearch to manage data at a much lower cost, setting it apart from traditional solutions. Additionally, with EraSearch, you can enjoy a fully automated experience, eliminating any concerns about maintaining the health of your cluster. Ultimately, this cutting-edge approach redefines log management for modern applications.

DisruptOps is a comprehensive platform for cloud security operations that continuously monitors, alerts, and addresses security vulnerabilities in real-time within your public cloud environment. By eliminating the divides between development, security, and operations teams, DisruptOps fosters a collaborative atmosphere where all team members can actively contribute to safeguarding your cloud infrastructure using the tools they are already familiar with. The platform efficiently directs critical security issues to the appropriate responders through familiar applications such as Slack, Teams, and Jira, allowing individuals to engage in defense strategies even if it isn't their primary role. Additionally, DisruptOps seamlessly integrates security operations into your DevOps practices, equipping teams to identify and resolve potential problems before they escalate into significant incidents. With instant visibility into potential risks and threats, vital issues are promptly assigned to the correct personnel, providing security context and expert advice for effective remediation. The platform also offers meaningful insights for planning and monitoring risk reduction efforts, along with pre-designed playbooks that streamline response actions and enhance efficiency. By facilitating these processes, DisruptOps not only strengthens your security posture but also promotes a culture of shared responsibility among all team members.

LOGIQ.AI's LogFlow offers a unified management system for your observability data pipelines. As data streams are received, they are efficiently categorized and optimized to serve the needs of your business teams and knowledge workers. XOps teams can streamline their data flow management, enhancing data EPS control while also improving the quality and relevance of the data. LogFlow’s InstaStore, built on any object storage solution, provides limitless data retention and allows for on-demand data playback to any observability platform you prefer. This enables the analysis of operational metrics across various applications and infrastructure, yielding actionable insights that empower you to scale confidently while ensuring consistent high availability. By collecting, transforming, and analyzing behavioral data and usage trends from business systems, you can enhance business decisions and improve user experiences. Furthermore, in an ever-evolving threat landscape, it's essential to stay ahead; with LogFlow, you can identify and analyze threat patterns coming from diverse sources, automating both threat prevention and remediation processes effectively. This proactive approach not only strengthens security but also fosters a resilient operational environment.

Klera is a company specializing in software products and services that aims to provide innovative solutions for extracting intelligence from data. We empower organizations to operate transparently, collaboratively, and cohesively, eliminating the barriers of data silos. Our fast, no-code platform for developing intelligent applications streamlines the processes of data collection, analysis, and synchronization, making it easier for businesses to harness their data effectively. With Klera, enterprises can transform their data landscape, fostering a more integrated approach to decision-making and operational efficiency.

The easiest way to begin your journey is through Healthcare Blocks, which offers a cloud-based application hosting environment built on Linux that complies with HIPAA and the NIST cybersecurity framework. Our dedicated team takes care of ensuring the security and scalability of this platform, allowing your organization to concentrate on developing and deploying applications effectively. For healthcare entities either currently utilizing or intending to adopt Amazon Web Services (AWS), our innovative solution removes the uncertainty and labor associated with meeting the obligations of AWS's "shared responsibility model." This offering effectively connects the dots between being "HIPAA eligible" and achieving "HIPAA compliant" status. The infrastructure features Ubuntu security-enhanced virtual machines that come equipped with auto-scaling capabilities, encrypted storage, and automated security updates. Additionally, it utilizes Amazon S3 for the secure storage of uploaded files, backups, and archived datasets, ensuring data integrity and availability. Support is provided through a standard help desk portal, with options for upgraded premium support available as needed. Furthermore, it includes support for Docker engines and Dokku PaaS, enabling seamless application deployment and management. This comprehensive solution empowers healthcare organizations to innovate without compromising on security or compliance.

Minimize false positives and leverage machine learning (ML) to effectively identify anomalies in business performance indicators. Investigate the underlying causes of these anomalies by clustering similar outliers together for analysis. Provide a summary of these root causes and prioritize them based on their impact. Ensure a smooth integration with AWS databases, storage services, and external SaaS platforms for comprehensive metrics monitoring and anomaly detection. Set up automated alerts and responses tailored to the detection of anomalies. Utilize Lookout for Metrics, which employs ML to both discover and analyze anomalies in business and operational datasets. The challenge of recognizing unexpected anomalies is compounded by the limitations of traditional manual methods that are prone to errors. Lookout for Metrics simplifies the detection and diagnosis of data inconsistencies without requiring any expertise in artificial intelligence (AI). Monitor irregular fluctuations in subscriptions, conversion rates, and revenue to remain vigilant about sudden market shifts, ultimately enhancing strategic decision-making capabilities. By adopting these advanced techniques, businesses can improve their overall performance management and response strategies.

Enhancing service and support efficiency, alongside business satisfaction, begins with the ability to foresee and prevent downtime. EV Observe serves as a comprehensive monitoring platform tailored for networks, IoT devices, IT infrastructure, cloud environments, and application monitoring, ensuring a seamless end-to-end service experience. Our solution empowers organizations to adopt a proactive and predictive stance towards service support, delivery, and observability, facilitating collaborative self-help and self-healing capabilities, as well as providing in-depth insights into performance and availability. This approach enables teams to concentrate on delivering value and fostering innovation that propels business success, ultimately leading to greater employee engagement, enriched customer experiences, heightened productivity, and enhanced resiliency. Specifically designed for SaaS monitoring in a multi-client and multi-site environment, it also integrates a comprehensive software production tool that encompasses the entire range of software processes while promoting the implementation of DevOps practices for optimized operational efficiency. The holistic nature of our platform ensures that organizations can adapt swiftly to changing demands in the digital landscape.

Quickwork is used by enterprises to create simple and complex workflows. It also allows them to create and publish APIs that are secure, and to manage conversational interactions between employees, customers, and partners. This helps to provide an excellent user experience. Quickwork is an all-in one platform that provides the tools and services needed to build powerful and scalable integrations. It also offers serverless APIs and conversational experiences. Drag and drop applications to create powerful integrations. No need to write a line of code. You can choose from 1000s of apps for business, consumer, analytics, messaging and IoT. Quickwork's API Management allows you to convert any workflow into an REST API in a single click. Our serverless infrastructure allows you to scale your APIs elastically and securely. Create and manage real-time messaging and conversational workflows across multiple channels with human agents, IoT devices, and chatbots.

Uptrace is an observability platform built on OpenTelemetry that enables users to track, comprehend, and enhance intricate distributed systems effectively. With a single, streamlined dashboard, you can oversee your entire application stack efficiently. This setup provides a swift view of all services, hosts, and systems in one place. The distributed tracing feature allows you to follow the journey of a request as it flows through various services and components, highlighting the timing of each operation along with any logs and errors that arise in real-time. Through metrics, you can swiftly gauge, visualize, and monitor a variety of operations using tools such as percentiles, heatmaps, and histograms. By receiving alerts when your application experiences downtime or when a performance issue is detected, you can respond to incidents more promptly. Moreover, the platform allows you to monitor all aspects—spans, logs, errors, and metrics—using a unified query language, simplifying the observability process further. This comprehensive approach ensures that you have all the necessary insights to maintain optimal performance in your distributed systems.

Snow Commander serves as a robust hybrid cloud management solution that harnesses automation to enhance business responsiveness, control, and operational effectiveness. This innovative tool allows IT departments to remove tedious manual approval workflows, granting end users a rapid self-service option for accessing both public and private cloud resources, which is essential for maintaining the pace of agile development teams. By streamlining hybrid cloud management, organizations can significantly boost their agility and efficiency. Snow Commander facilitates a seamless experience for end users seeking quick access to cloud resources while providing IT with crucial visibility for monitoring resource utilization. The self-service portal, complemented by automation for provisioning, ensures that development teams remain uninterrupted in their workflow. Additionally, its advanced workload engine supports change orchestration, integrating cost analysis, governance frameworks, and automation features. With its adaptable capabilities, Snow Commander not only enhances operational processes but also encourages innovation across the organization.

SaaSConstruct is an all-in-one template that accelerates the creation of SaaS applications on the AWS cloud platform. It features a complete, pre-configured codebase that integrates cloud infrastructure alongside both frontend and backend elements, facilitating the quick deployment of SaaS websites with essential functionalities like user authentication, payment processing, and customizable AI chatbots. Built upon AWS services, the infrastructure allows for easy scalability and integration with other AWS tools as required. By providing these ready-to-use components, SaaSConstruct enables developers to efficiently test and launch their projects, allowing them to concentrate on core features rather than getting bogged down by initial setup tasks. This template includes code for the majority of standard SaaS processes such as payments and authentication, significantly reducing your AWS expenses during the development phase. Additionally, it supports the integration of AI models like those from AWS Bedrock. With SaaSConstruct, you can save countless hours of development time, ensuring you have everything necessary to launch your SaaS product today while maintaining a focus on innovation.

Amazon FinSpace streamlines the deployment of kdb Insights applications on AWS, making the process significantly easier. By automating the routine tasks necessary for provisioning, integrating, and securing the infrastructure needed for kdb Insights, Amazon FinSpace simplifies operations for its users. Furthermore, it offers intuitive APIs that enable customers to set up and initiate new kdb Insights applications in just a matter of minutes. This platform allows users the flexibility to transition their existing kdb Insights applications to AWS, harnessing the advantages of cloud computing without the burden of managing complex and expensive infrastructure. KX's kdb Insights serves as a robust analytics engine, tailored for the examination of both real-time and extensive historical time-series data. Frequently utilized by clients in Capital Markets, kdb Insights supports essential business functions such as options pricing, transaction cost analysis, and backtesting. Additionally, it eliminates the need to integrate more than 15 AWS services for the deployment of kdb, streamlining the entire process further. Overall, Amazon FinSpace empowers organizations to focus on their analytics while minimizing operational overhead.

AWS Marketplace serves as a carefully organized digital platform that allows users to explore, buy, implement, and oversee third-party software, data products, AI agents, and services seamlessly within the AWS environment. This marketplace offers a vast array of options spanning various categories, including security, machine learning, business applications, and DevOps tools. By featuring adaptable pricing structures like pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace makes it easier for customers to manage procurement and billing by consolidating expenses into a single AWS invoice. Additionally, it facilitates quick deployment of pre-configured software that can be easily launched on AWS infrastructure. This efficient model not only empowers businesses to spur innovation and reduce time-to-market but also enhances their ability to control software utilization and costs effectively. Ultimately, AWS Marketplace stands as an essential tool for organizations looking to optimize their software management and procurement processes.

Doctor Droid is an innovative AI-powered platform aimed at transforming how engineering teams monitor and resolve issues. It streamlines intricate investigations by adhering to established procedures, analyzing data from various integrations, pinpointing root causes, and implementing standardized runbooks for automated recovery. By actively monitoring alerts, Doctor Droid equips teams with pertinent data and insights, thereby cutting down on-call time by as much as 80% and enabling quick responses from engineers. Additionally, it enhances the onboarding experience for new engineers by automating document searches, familiarizing them with new tools, and helping them understand data, which allows them to take on primary on-call responsibilities right from the start. Furthermore, Doctor Droid is capable of conducting spontaneous investigations, such as scrutinizing Kubernetes clusters or reviewing recent deployments, while also adapting to create new strategies based on user recommendations and existing documentation. It boasts seamless integration with over 40 different tools throughout the technology stack, which significantly enhances its functionality and versatility. As a result, engineering teams can operate more efficiently and effectively in a rapidly evolving environment.

All Quiet offers a complete incident management solution that helps businesses automate workflows, improve response times, and optimize team performance. With built-in integrations to platforms like AWS, Grafana, and Microsoft Teams, it centralizes incident tracking, alerting, and resolution on a single dashboard. All Quiet’s flexible on-call management, automated escalation features, and real-time status pages provide visibility and ensure fast, efficient handling of critical incidents. It’s a scalable solution for companies looking to enhance operational resilience and streamline incident resolution.

AWS Site-to-Site VPN is a comprehensive service designed to create secure links between your on-premises networks and AWS resources via IPsec tunnels. Each VPN connection is equipped with two tunnels that terminate in separate availability zones, enhancing the availability of your Virtual Private Cloud (VPC). In the event of a failure in one tunnel, the connection seamlessly switches to the alternate tunnel, ensuring uninterrupted access. For applications distributed globally, the enhanced Site-to-Site VPN feature offers superior performance by collaborating with AWS Global Accelerator, which intelligently directs your traffic to the nearest AWS network endpoint for optimal performance. Additionally, AWS Site-to-Site VPN accommodates both static and dynamic routing options, including BGP peering, allowing for greater flexibility in your routing setup. It also facilitates NAT traversal, enabling the use of private IP addresses within private networks that are behind routers utilizing a single public IP address. This versatility makes AWS Site-to-Site VPN a robust solution for diverse network configurations and requirements.

Amazon Bedrock AgentCore allows for the secure deployment and management of advanced AI agents at scale, featuring infrastructure specifically designed for dynamic agent workloads, robust tools for agent enhancement, and vital controls for real-world applications. It is compatible with any framework and foundation model, whether within or outside of Amazon Bedrock, thus eliminating the burdensome need for specialized infrastructure. AgentCore ensures complete session isolation and offers industry-leading support for prolonged workloads lasting up to eight hours, with seamless integration into existing identity providers for smooth authentication and permission management. Additionally, a gateway is utilized to convert APIs into tools that are ready for agents with minimal coding required, while built-in memory preserves context throughout interactions. Furthermore, agents benefit from a secure browser environment that facilitates complex web-based tasks and a sandboxed code interpreter, which is ideal for functions such as creating visualizations, enhancing their overall capability. This combination of features significantly streamlines the development process, making it easier for organizations to leverage AI technology effectively.

TierZero Production Agents actively monitor incidents, manage alerts, and autonomously resolve production issues, enabling your engineering teams to release updates more swiftly. When an incident occurs, TierZero immediately engages, conducting a thorough investigation that spans your entire stack, including logs, traces, metrics, deployments, code alterations, and historical incidents. Unlike conventional AI SRE tools that merely handle triage, Production Agents encompass the entire post-merge process, which includes investigation, remediation, support Q&A, and proactive discovery. The Context Engine from TierZero integrates signals from code, infrastructure, discussions, and documentation into a dynamic knowledge graph that evolves and improves with each resolved issue. Installation within your environment can be accomplished in less than an hour, and every AI-driven investigation is fully auditable. This solution is specifically designed for highly regulated industries, such as fintech, healthcare, and cryptocurrency, where maintaining security is imperative. Furthermore, with its continuous learning capabilities, TierZero not only addresses current incidents but also anticipates potential future challenges.

Monitoring and visualization of real-time operations, including KPIs and dashboards. Also includes trends, analytics, hierarchy, alerts, and analytics. All data sources (industrial and IoT, business, and external) are gathered. It displays data in real-time on any device, without the need to move it.

Amazon Elastic Kubernetes Service (EKS) is a comprehensive Kubernetes management solution that operates entirely under AWS's management. High-profile clients like Intel, Snap, Intuit, GoDaddy, and Autodesk rely on EKS to host their most critical applications, benefiting from its robust security, dependability, and ability to scale efficiently. EKS stands out as the premier platform for running Kubernetes for multiple reasons. One key advantage is the option to deploy EKS clusters using AWS Fargate, which offers serverless computing tailored for containers. This feature eliminates the need to handle server provisioning and management, allows users to allocate and pay for resources on an application-by-application basis, and enhances security through inherent application isolation. Furthermore, EKS seamlessly integrates with various Amazon services, including CloudWatch, Auto Scaling Groups, IAM, and VPC, ensuring an effortless experience for monitoring, scaling, and load balancing applications. This level of integration simplifies operations, enabling developers to focus more on building their applications rather than managing infrastructure.

Execute your code without having to worry about server management, paying solely for the computational resources you actually use. AWS Lambda allows you to run your code without the need for provisioning or overseeing servers, charging you exclusively for the time your code is active. With Lambda, you can deploy code for nearly any kind of application or backend service while enjoying complete freedom from administrative tasks. Simply upload your code, and AWS Lambda handles everything necessary for running and scaling it with exceptional availability. You have the flexibility to set your code to automatically respond to triggers from other AWS services or invoke it directly from any web or mobile application. Furthermore, AWS Lambda efficiently runs your code without the need for you to manage server infrastructure. Just write your code and upload it, and AWS Lambda will take care of the rest. It also automatically scales your application by executing your code in response to each individual trigger, processing them in parallel and adapting precisely to the workload's demands. This level of automation and scalability makes AWS Lambda a powerful tool for developers seeking to optimize their application's performance.

AWS Storage Gateway is a hybrid cloud storage solution that allows on-premises users to tap into virtually limitless cloud storage options. It is utilized by clients to streamline storage management while also cutting costs across various hybrid cloud scenarios. Such scenarios encompass transferring tape backups to the cloud, minimizing local storage by leveraging cloud-based file shares, and offering quick access to AWS data for on-site applications, in addition to serving numerous migration, archiving, processing, and disaster recovery needs. To facilitate these functions, the service offers three distinct gateway types: Tape Gateway, File Gateway, and Volume Gateway, which all provide a smooth connection between local applications and cloud storage while caching data locally to ensure rapid access. Applications interact with the service via either a virtual machine or a dedicated hardware gateway appliance, utilizing standard storage protocols like NFS, SMB, and iSCSI. This versatility enables businesses to adapt their storage solutions to meet varying needs and optimize performance.

Manage and view your security alerts from a central location while automating security assessments. AWS Security Hub provides an all-encompassing perspective on your security alerts and overall security standing across various AWS accounts. You have access to a variety of robust security tools, including firewalls, endpoint protection solutions, and scanners for vulnerabilities and compliance. This often results in your team navigating between multiple tools to address the numerous security alerts that can reach into the hundreds or even thousands each day. With Security Hub, you have a unified platform that collects, categorizes, and prioritizes your security findings from numerous AWS services like Amazon GuardDuty, Amazon Inspector, Amazon Macie, AWS Identity and Access Management (IAM) Access Analyzer, and AWS Firewall Manager, in addition to offerings from AWS Partner solutions. AWS Security Hub also ensures your environment is under constant surveillance by executing automated security checks based on established AWS best practices and recognized industry standards. This streamlined approach not only enhances efficiency but also significantly improves your overall security management.

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

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

AWS IoT Core enables seamless connectivity between IoT devices and the AWS cloud, eliminating the need for server provisioning or management. Capable of accommodating billions of devices and handling trillions of messages, it ensures reliable and secure processing and routing of communications to AWS endpoints and other devices. This service empowers applications to continuously monitor and interact with all connected devices, maintaining functionality even during offline periods. Furthermore, AWS IoT Core simplifies the integration of various AWS and Amazon services, such as AWS Lambda, Amazon Kinesis, Amazon S3, Amazon SageMaker, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, Amazon QuickSight, and Alexa Voice Service, facilitating the development of IoT applications that collect, process, analyze, and respond to data from connected devices without the burden of infrastructure management. By utilizing AWS IoT Core, you can effortlessly connect an unlimited number of devices to the cloud and facilitate communication among them, streamlining your IoT solutions. This capability significantly enhances the efficiency and scalability of your IoT initiatives.

It is a Unified Reporting & Predictive Analytics Software. It empowers decision-makers with the clarity they need to drive continuous operational improvements, optimize costs, and minimize risk.

Utilize a single platform to ensure that your asset, operational, and business data can seamlessly interact. We enable organizations across diverse sectors to simplify processes, eliminate obstacles, and enhance the speed of value realization through integrated solutions that effectively merge Physical (IoT/IIoT/OT) and Application (IT) data. With our platform, you can securely handle the ingestion of OT, IoT, IIoT, and business application data from a variety of disconnected systems, protocols, networks, and formats. Moreover, you can enrich contextual information, manage metadata, conduct transformations, and employ data mapping to work with standardized data models and schemas. This integration allows for the flow of data to various endpoints, supporting application and process logic, storage, data analysis, and both physical and digital automation efforts. Reekoh Accelerate™ stands out as a hybrid integration platform that treats data from both physical and digital assets with utmost importance. It equips users with a robust and flexible toolset for managing devices and data, as well as streamlining business workflows and automation processes to drive efficiency. By leveraging these capabilities, organizations can unlock the full potential of their data assets.

AWS Hybrid Cloud services offer a seamless AWS experience tailored to your needs, whether in the cloud, on-premises, or at the edge. You can choose from an extensive array of services encompassing compute, networking, storage, security, identity, data integration, management, monitoring, and operations to design hybrid architectures that align with your unique requirements and use cases. By bringing cloud infrastructure and services to the locations you need, you can accelerate your digital transformation initiatives. Additionally, AWS enables you to modernize and manage all your applications, including those that must remain in specific locations due to data residency, local processing, and latency considerations. As a result, you can expect to see enhanced productivity and reduced costs. Furthermore, developers gain access to a unified platform for building, deploying, and managing applications, while IT teams benefit from consistent hardware, services, and tools for operating infrastructure across on-premises, cloud, and edge environments, ensuring a cohesive operational strategy. This integrated approach empowers organizations to respond swiftly to evolving business needs and technological advancements.

Panaseer's continuous control monitoring platform is a powerful tool that can monitor and monitor all aspects of your organization. It provides trusted, automated insight into the organisation's security and risk posture. We create an inventory of all entities in your organization (devices and apps, people, accounts, and databases). The inventory identifies assets that are missing from different sources and identifies security risks. The platform provides metrics and measures that will help you understand your compliance and security status at all levels. The platform can ingest data from any source, cloud or on-premises. Data can be accessed across security, IT, and business domains using out-of-the box data connectors. It uses entity resolution to clean and normalise, aggregate and de-duplicate this data. This creates a continuous feed with unified assets and controls insights across devices and applications, people, database and accounts.

An advanced machine learning monitoring system is designed to simplify the oversight and troubleshooting of numerous models. With unmatched explainability accuracy and exclusive analytical capabilities, data scientists can effectively navigate challenges without encountering false alarms or dead ends, enabling them to swiftly tackle critical issues. This ensures that your machine learning models remain fine-tuned, ultimately optimizing your business performance. TruEra's solution is powered by a state-of-the-art explainability engine that has been honed through years of meticulous research and development, showcasing a level of accuracy that surpasses contemporary tools. The enterprise-grade AI explainability technology offered by TruEra stands out in the industry. The foundation of the diagnostic engine is rooted in six years of research at Carnegie Mellon University, resulting in performance that significantly exceeds that of its rivals. The platform's ability to conduct complex sensitivity analyses efficiently allows data scientists as well as business and compliance teams to gain a clear understanding of how and why models generate their predictions, fostering better decision-making processes. Additionally, this robust system not only enhances model performance but also promotes greater trust and transparency in AI-driven outcomes.

Circonus IRONdb simplifies the management and storage of limitless telemetry data, effortlessly processing billions of metric streams. It empowers users to recognize both opportunities and challenges in real time, offering unmatched forensic, predictive, and automated analytics capabilities. With the help of machine learning, it automatically establishes a "new normal" as your operations and data evolve. Additionally, Circonus IRONdb seamlessly integrates with Grafana, which natively supports our analytics query language, and is also compatible with other visualization tools like Graphite-web. To ensure data security, Circonus IRONdb maintains multiple copies across a cluster of IRONdb nodes. While system administrators usually oversee clustering, they often dedicate considerable time to its upkeep and functionality. However, with Circonus IRONdb, operators can easily configure their clusters to run autonomously, allowing them to focus on more strategic tasks rather than the tedious management of their time series data storage. This streamlined approach not only enhances efficiency but also maximizes resource utilization.

Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.

This approach effectively manages incoming user requests to your website during periods of high traffic influx. It establishes a cloud-based system that temporarily diverts incoming traffic, offering customizable features to incorporate a virtual waiting room. This waiting room serves as a temporary holding space for website visitors, allowing them to access the site once there is sufficient capacity. Common scenarios for utilizing this solution include ticket sales for concerts or sporting events, significant retail sales like Black Friday, major product launches with extensive marketing campaigns, as well as online testing and class attendance for educational purposes. Additionally, it can be employed during the release of medical appointment slots or when introducing a new direct-to-consumer service that necessitates account registration and payment processing. Upon entering the waiting room, users receive a queue number that ensures they retain their spot; they are allowed to proceed to the main site only when it's their turn in line, thereby streamlining the flow of traffic and enhancing the user experience. This method ensures that all visitors have a fair chance to access the website without overwhelming the system.

Designed by engineers specifically for engineers, our Prometheus monitoring solution is incredibly simple to set up, configure, and start transmitting metrics. We manage the scaling of your Prometheus infrastructure, so you can concentrate on your work without any concerns. With our service, your data is stored long-term with triple redundancy, allowing you to leverage insights without the burden of database management. You’ll receive automatic updates and plugins, ensuring your Prometheus and Grafana stack remains current without any additional effort on your part. Everything necessary for effective management of your Prometheus metrics is at your disposal. We prioritize your autonomy, steering clear of vendor lock-in, and you can obtain a complete data export whenever you need it. This approach combines the advantages of an open-source solution with the reliability and security of a SaaS platform. We ensure your data is securely backed up with threefold redundancy and stored safely for a full year. Scale effortlessly, as we take care of all the complexities for you, and rest assured that Prometheus specialists are ready to assist you around the clock. In this way, you can consistently rely on expert support whenever you need it.

Visualize your microservices from your CDN to your databases, with external dependencies. Automately measure baselines and receive recommendations for SLIs or SLOs. Measure and understand the impact across microservices. Every change creates ripples in your connected system. Login API was affected by a security group's change? Last9 makes it easy for you to find the 'last change' that caused an incident. Last9 is a modern reliability platform. It leverages your existing observation tricks and allows you to build and enforce mental model on top of your data. This will help you cover infrastructure, service, product metrics with minimal effort. We love reliability and make it fun and embarrassingly simple to run systems at scale. Last9 uses the knowledge graph to automatically generate maps of all known infrastructure and service components.

Simplifying AWS cloud audits, our solution supports over 60 AWS services, automatically identifying misconfigurations and security issues in your cloud setup while providing explanations for any deviations from AWS best practices. This application operates as an independent CloudFormation stack in your AWS account, ensuring that you maintain complete ownership of your data within your VPC. By installing it, you can consistently monitor and secure your AWS environment while simultaneously educating your team on best practices. Each alert is meticulously documented, drawing from official AWS documentation, AWS CLI, and relevant Re:Invent videos available on AWS's YouTube channels. Additionally, Cloud Assessor serves as a valuable resource for training your team and raising awareness about AWS best practices, with the assurance that all your data and configurations remain solely in your control and never leave your VPC. This guarantees that you make no data compromises while leveraging powerful tools for cloud governance.

Eliminate the need to constantly monitor alerts and proactively avert incidents before they occur with the premier XDR platform that transforms how threats are detected, logs are managed, and responses are coordinated. Bridge existing gaps and empower your team with our top-tier, integrated XDR solution that not only ensures compliance but also streamlines security operations. Cybraics nLighten™ stands out as more than just a standard security tool; it emerged from advanced AI and machine learning initiatives conducted alongside the U.S. Department of Defense, serving as a key resource for extracting actionable insights from the dispersed and isolated data, logs, and alerts generated by various security tools within your infrastructure. With Cybraics, achieving robust threat detection is accessible and doesn’t have to strain your budget. Equipped with Adaptive Analytic Detection (AAD) and Persistent Behavior Tracing (PBT), this platform enhances the effectiveness of your security team by automating 96% of actionable case creation while significantly cutting false positives by 95%. Consequently, the time required for detection and response is dramatically reduced from months to mere minutes, allowing your organization to respond swiftly to potential threats. This innovative approach not only strengthens your security posture but also optimizes resource allocation across your team.

QueryPie serves as a unified platform that consolidates diverse data sources and security protocols into a single interface. Accelerate your company's journey toward achievement without altering your current data infrastructure. In an era driven by data, effective data governance has become essential. Make certain that you adhere to data governance regulations while simultaneously granting multiple users access to an increasing volume of essential data. Formulate data access policies by incorporating crucial factors such as IP addresses and time of access. You can create various privilege types based on SQL commands categorized into DML, DCL, and DDL, allowing for secure data analysis and modifications. Effortlessly monitor SQL event details and analyze user behavior along with potential security threats by examining logs filtered by permissions. Furthermore, all historical data can be exported for comprehensive reporting, ensuring that you have a clear view of your data usage and security practices. This holistic approach not only enhances oversight but also supports informed decision-making for future strategies.

Enhance machine learning model performance by capturing real-time training metrics and issuing alerts for any detected anomalies. To minimize both time and expenses associated with the training of ML models, the training processes can be automatically halted upon reaching the desired accuracy. Furthermore, continuous monitoring and profiling of system resource usage can trigger alerts when bottlenecks arise, leading to better resource management. The Amazon SageMaker Debugger significantly cuts down troubleshooting time during training, reducing it from days to mere minutes by automatically identifying and notifying users about common training issues, such as excessively large or small gradient values. Users can access alerts through Amazon SageMaker Studio or set them up via Amazon CloudWatch. Moreover, the SageMaker Debugger SDK further enhances model monitoring by allowing for the automatic detection of novel categories of model-specific errors, including issues related to data sampling, hyperparameter settings, and out-of-range values. This comprehensive approach not only streamlines the training process but also ensures that models are optimized for efficiency and accuracy.

Tessell simplifies the deployment of cloud databases with elegance and ease. Our comprehensive managed database service handles all your data infrastructure and management requirements efficiently. Transform high-performance computing into a robust framework that guarantees zero data loss. Ensure enterprise-grade protection for your database with features like multi-AZ high availability, cross-region disaster recovery, and business continuity planning. Enjoy policy-driven, consumer-grade data management across various environments such as Production, UAT, QA, and Development, all centralized in one platform. Managed and hosted by Tessell, you can set up a fully-managed database service in less than ten minutes with just a few straightforward steps. Whether you choose to use your own data or opt for sample data, you can fully utilize the data applications available. Modernizing your databases is a breeze with just a single click using Tessell, which also guarantees optimal performance at a fraction of the cost. Safeguard your production database with continuous backups of transactional data and logs, while also enabling the creation and storage of diverse data types, including table dumps and anonymized data, for use in secondary environments. This innovative approach not only enhances data management but also streamlines operational efficiency across your organization.