Prometheus Integrations

Ensure clear visibility and the implementation of policies across every data endpoint in your system with this tailored solution designed to enhance your infrastructure-as-code workflows and orchestration. It is equipped to dynamically adapt to your workloads while ensuring response times remain below a millisecond. The solution integrates seamlessly with your current tools, requiring no adjustments to your applications. By establishing intricate data access policies and adopting a Zero Trust framework for the data cloud, you can significantly bolster your cloud security. This proactive approach helps protect your organization from potential data breaches, thereby fostering customer trust and delivering peace of mind. Addressing the unique challenges related to performance, deployment, and availability in the data cloud, Cyral offers a holistic perspective of your data ecosystem. The lightweight, stateless sidecar provided by Cyral functions as an interception service that grants real-time visibility into all activities occurring within the data cloud while ensuring stringent access controls. Its outstanding performance and scalability enable efficient interception, effectively thwarting threats and unauthorized access to your data that might otherwise go unnoticed. As the digital landscape continues to change rapidly, implementing such rigorous security measures is essential to uphold the integrity and confidentiality of your organization’s data. By prioritizing these strategies, businesses can navigate the complexities of data security with greater confidence and resilience.

Leveraging OpenEBS alongside Kubera represents the ideal approach for fulfilling storage requirements within Kubernetes ecosystems. OpenEBS is distinguished as the foremost open-source storage solution for Kubernetes, celebrated for its rapid performance and operational efficiency. Kubera amplifies the capabilities of OpenEBS Mayastor through an intuitive graphical interface, comprehensive APIs, automated health checks, customizable configurations, Active Directory integration, built-in performance metrics, and various operators that simplify upgrades and other processes. Offered at no charge by MayaData, Kubera also delivers continuous support, aiding customers in reducing operational costs and enhancing management processes. Furthermore, Kubera Propel is a cloud-native declarative data plane developed in Rust, constructed on the robust OpenEBS Mayastor framework. This state-of-the-art platform incorporates advanced technologies such as NVMe, SPDK, and emerging storage functionalities within the Linux kernel. Independent performance tests have shown that OpenEBS, when managed through Kubera Propel, consistently delivers exceptionally low latency for databases and diverse workloads on Kubernetes, making it a superb option for both developers and organizations. The synergy between these solutions not only boosts performance but also effectively responds to the growing need for dependable and efficient storage options in contemporary computing landscapes. As the demand for robust storage solutions continues to rise, this combination positions itself as a future-ready choice for businesses seeking to optimize their infrastructure.

Lower your cloud costs, strengthen security measures, and enhance developer productivity. Why pay more than necessary for cloud services? Our innovative solution enables you to track your spending and apply simple, machine learning-enhanced tactics to reduce expenses. Discover our collection of over 60 applications in the AWS Marketplace, crafted for easy installation at unbeatable prices. Protect your cloud setup and effectively manage EC2 instance updates across different regions from a single platform. With our user-friendly dashboard, you can thoroughly assess and optimize your AWS expenses. It proactively detects and removes unused AWS resources to assist in cost reduction. Gain from continuous machine learning evaluations aimed at consistently decreasing cloud expenditure. Rather than creating intricate application stacks, make use of our ready-to-use, secure images that are available right away. This allows you to concentrate on development instead of getting bogged down by operational tasks. Furthermore, our solution assesses your AWS environment for potential security threats and offers guidance on risk mitigation. With the ability to update servers across multiple regions from one centralized interface, managing your cloud infrastructure has never been simpler or more efficient. This streamlined approach ultimately empowers your team to focus on innovation and growth.

StackPulse revolutionizes incident response and management processes, ensuring a strong commitment to the reliability of software services. It provides Site Reliability Engineers, developers, and on-call personnel with vital context and the necessary authority to effectively analyze, tackle, and resolve incidents across the entire technology stack, regardless of size. By transforming the way engineering and operations teams approach software and infrastructure services, StackPulse presents a collaborative platform enriched with various incident management tools. Users can easily initiate teamwork through automated war room setups, streamlined data collection, and auto-generated postmortem reports. The insights gleaned during incidents lead to customized recommendations for playbooks and triggers, resulting in significant reductions in Mean Time to Recovery (MTTR) and improved compliance with Service Level Objectives (SLOs). Furthermore, StackPulse detects risks by examining distinct patterns within an organization’s monitoring, infrastructure, and operational data, providing tailored automated playbooks to meet specific organizational requirements. This innovative approach not only alleviates risks but also enhances team capabilities in managing operational challenges, ultimately fostering a more resilient software environment. As a result, organizations can achieve greater efficiency and reliability in their service delivery.

OpsLevel stands out as the most adaptable Internal Developer Portal, designed to assist teams in optimizing service ownership, automating catalog upkeep, and enhancing engineering performance. By leveraging AI-driven insights, automation, and self-service processes, OpsLevel removes obstacles, allowing developers to prioritize creation over administrative hurdles. In contrast to disjointed spreadsheets or custom-built applications, OpsLevel clarifies intricate architectures, enabling teams to uphold best practices, minimize incidents, and speed up deployment times. With features that streamline everything from onboarding to security, OpsLevel significantly enhances the speed, reliability, and scalability of software delivery, ultimately fostering a more efficient development environment. This comprehensive solution empowers teams to concentrate on innovation, transforming the way software is developed and maintained.

An enterprise-grade database designed for handling time series, documents, and vectors. It allows for the storage of diverse data types while merging the ease and scalability of NoSQL with the capabilities of SQL. CrateDB stands out as a distributed database that executes queries in mere milliseconds, no matter the complexity, data volume, or speed of incoming data. This makes it an ideal solution for organizations that require rapid and efficient data processing.

Beats is a free, open-source solution designed for the seamless transport of data from various devices and systems to Logstash or Elasticsearch. By installing these data shippers as agents on your servers, you can streamline the transfer of operational information directly to Elasticsearch. Elastic provides Beats to help capture diverse data streams and event logs effectively. Data can be either sent directly to Elasticsearch or processed through Logstash for further enrichment before being visualized in Kibana. If you're aiming for swift implementation of infrastructure monitoring and centralized log analytics, starting with the Metrics app and the Logs app in Kibana is highly recommended. For thorough understanding, consult the available resources on metrics analysis and log monitoring. Filebeat, in particular, simplifies the process of collecting data from security devices, cloud setups, containers, hosts, or operational technology, offering a lightweight solution for log and file centralization. This approach allows you to efficiently manage your data flow while avoiding unnecessary complexity, ultimately enhancing your operational efficiency. Additionally, utilizing Beats can lead to improved data insights and decision-making within your organization.

Cortex represents a cutting-edge open-source framework designed to boost horizontal scalability significantly. While Prometheus can efficiently process up to one million samples per second on a single server, Cortex allows for an almost infinite degree of horizontal expansion. In today's rapidly changing technological environment, exploring diverse strategies for monitoring individual virtual machines or servers becomes crucial. Prometheus offers a metrics system that is driven by service discovery and operates on a pull-based model, which effectively accommodates the dynamic nature of microservices. This feature ensures that monitoring can be conducted seamlessly across your entire infrastructure, no matter how many components are present. Users can modify their applications to produce specific metrics through the standard Prometheus client libraries, or take advantage of the extensive selection of Prometheus Exporters that can gather data from various software applications such as MySQL, Redis, Java, ElasticSearch, and more. By utilizing these powerful tools, organizations can achieve better oversight and management of their intricate infrastructures, which is essential in an era where technology is continuously evolving. This adaptability not only enhances operational efficiency but also empowers organizations to respond swiftly to emerging challenges.

Each module can function on its own or in combination to form a robust integrated pipeline that encompasses Continuous Integration (CI), Continuous Deployment (CD), and Feature Flags. All Harness modules leverage the capabilities of AI and machine learning to enhance their performance. Our algorithms are designed to verify deployments, pinpoint opportunities for test optimization, suggest recommendations for cloud cost savings, and restore the system to its previous state in the event of a rollback. They also play a crucial role in facilitating complex deployment patterns, identifying anomalies in cloud costs, and initiating a variety of other tasks. Staring at dashboards and logs post-deployment can be tedious; let us handle the monotonous tasks for you. Harness systematically evaluates the logs, metrics, traces, and other relevant data from your observability systems to assess the health and status of each deployment. If a problematic deployment is identified, Harness is capable of automatically reverting to the most recent stable version, ensuring a seamless experience for users. This automation not only saves time but also minimizes the risk of human error during critical deployment processes.

Elevate your production and staging environments by seamlessly integrating logs, metrics, and traces in real-time and on-demand from your integrated development environment (IDE) or command line interface. Utilizing Lightrun, you can enhance productivity and gain comprehensive visibility at the code level. The ability to instantly add logs and metrics while services are running simplifies the debugging of intricate architectures, including monoliths, microservices, Kubernetes, Docker Swarm, ECS, and serverless applications. You can swiftly insert any required log lines, implement essential metrics, or create snapshots as necessary without the need to recreate your production setup or redeploy your application. When you invoke instrumentation, the data is transmitted to your log analysis platform, IDE, or chosen APM tool, enabling an in-depth examination of code behavior to pinpoint bottlenecks and errors without halting the application. This capability allows for the seamless integration of extensive logs, snapshots, counters, timers, function durations, and more, all while preserving system stability. By adopting this efficient approach, you can concentrate on coding instead of being overwhelmed by debugging tasks, as it removes the need for frequent restarts or redeployments during troubleshooting. Ultimately, this leads to a more streamlined development workflow, empowering you to keep your projects progressing smoothly and effectively. Moreover, this innovative solution not only enhances operational efficiency but also fosters a more agile development environment, allowing teams to respond proactively to challenges as they arise.

Shoreline stands out as the sole cloud reliability platform that enables DevOps engineers to create automations in just minutes while permanently resolving issues. Its state-of-the-art "Operations at the Edge" architecture deploys efficient agents to run seamlessly in the background on every monitored host. These agents can function as a DaemonSet within Kubernetes or as an installed package on virtual machines (using apt or yum). Additionally, the Shoreline backend can either be hosted by Shoreline on AWS or set up in your own AWS virtual private cloud. With sophisticated tools designed for top-tier Site Reliability Engineers (SREs), along with Jupyter-style notebooks that cater to the wider team, troubleshooting and resolving issues becomes a straightforward task. The platform accelerates the automation creation process by an impressive 30 times, enabling operators to oversee their entire infrastructure as if it were a single entity. By handling the complex processes of establishing monitors and crafting repair scripts, Shoreline allows customers to focus on merely adjusting configurations to suit their specific environments. This comprehensive approach not only enhances efficiency but also empowers teams to maintain operational excellence with minimal effort.

Create customized monitoring solutions for your machine learning models with our intuitive monitor builder, which alerts you to potential issues like concept drift, decreases in model performance, biases, and more. Aporia seamlessly integrates with any machine learning setup, be it a FastAPI server on Kubernetes, an open-source solution like MLFlow, or cloud services such as AWS Sagemaker. You can dive into specific data segments to closely evaluate model performance, enabling you to detect unexpected biases, signs of underperformance, changing features, and data integrity problems. When your machine learning models encounter difficulties in production, it's essential to have the right tools to quickly diagnose the root causes. Beyond monitoring, our investigation toolbox provides an in-depth analysis of model performance, data segments, statistical information, and distribution trends, ensuring you have a comprehensive grasp of how your models operate. This thorough methodology enhances your monitoring capabilities and equips you to sustain the reliability and precision of your machine learning solutions over time, ultimately leading to better decision-making and improved outcomes for your projects.

The NGINX Service Mesh, available at no cost, seamlessly evolves from open-source initiatives into a powerful, secure, and scalable enterprise-level solution. This service mesh enables effective management of Kubernetes environments, utilizing a unified data plane for both ingress and egress through a single configuration interface. Notably, the NGINX Service Mesh features an integrated, high-performance data plane that capitalizes on the strengths of NGINX Plus, making it adept at managing highly available and scalable containerized systems. This data plane excels in delivering exceptional traffic management, performance, and scalability, significantly surpassing other sidecar solutions available in the industry. It comes equipped with critical functionalities like load balancing, reverse proxying, traffic routing, identity management, and encryption, all vital for the implementation of production-ready service meshes. Furthermore, when paired with the NGINX Plus-based version of the NGINX Ingress Controller, it establishes a cohesive data plane that streamlines management through a single configuration, thereby improving both efficiency and control. Ultimately, this synergy enables organizations to realize enhanced performance and reliability in their service mesh deployments while ensuring future adaptability. The comprehensive features and seamless integration make it an attractive choice for businesses looking to optimize their cloud-native applications.

Traefik Mesh is an intuitive and highly configurable service mesh that enhances the visibility and management of traffic flows within any Kubernetes cluster. By improving monitoring, logging, and visibility while also enforcing access controls, it empowers administrators to quickly and effectively strengthen the security of their clusters. This functionality allows for detailed monitoring and tracing of application communications in a Kubernetes setting, which enables administrators to refine internal communication pathways and boost overall application performance. The simplified learning curve, installation process, and configuration requirements significantly shorten the time required for deployment, leading to a quicker realization of benefits from the invested effort. Consequently, this allows administrators to focus more on their primary business applications without distraction. Additionally, as an open-source solution, Traefik Mesh eliminates vendor lock-in, being designed for opt-in use and promoting flexibility and adaptability in various deployments. This combination of advantageous features positions Traefik Mesh as an attractive option for organizations aiming to enhance their Kubernetes environments and optimize their operational efficiency. Organizations can leverage its capabilities to ensure they remain agile and responsive to changing demands in the cloud-native landscape.

Uncovering detailed insights into your Kubernetes infrastructure has become remarkably simple with the use of Sysdig Monitor's managed Prometheus service, which maintains full compatibility with Prometheus. This innovative service centralizes all essential Kubernetes data, allowing you to identify and rectify errors in your Kubernetes setup up to ten times more efficiently. With a managed Prometheus solution, expanding your monitoring capabilities is effortless, featuring ready-made dashboards, notifications, and smooth integrations. You can achieve an average reduction in unnecessary costs by 40%, while also enjoying the advantages of reasonably priced custom metrics. Moreover, our service enhances the troubleshooting process by supplying a prioritized list of issues along with comprehensive pod details, live logs, and actionable steps for remediation, ultimately saving you a significant amount of time. By utilizing our scalable data storage, automatic service discovery, and simplified integration deployment, you can optimize operational efficiency. You can continue using your existing PromQL and Grafana dashboards, with pre-configured options available alongside the flexibility to tailor any dashboard to meet your unique requirements. Additionally, our alerts are designed to be highly customizable, facilitating seamless integration into your current alert management system, which leads to enhanced overall performance. This ensures that you are always equipped with the best tools to keep your Kubernetes environment running smoothly.

Uptrace is an advanced observability platform leveraging OpenTelemetry that empowers users to effectively monitor, understand, and optimize complex distributed systems. Featuring a cohesive and intuitive dashboard, it enables efficient management of your entire application stack. This design allows for a quick overview of all services, hosts, and systems seamlessly in one interface. Its distributed tracing capability permits users to track the path of a request as it navigates through various services and components, detailing the timing of every operation alongside any logs and errors that occur in real-time. Utilizing metrics, you can rapidly assess, visualize, and keep an eye on a wide array of operations with analytical tools such as percentiles, heatmaps, and histograms. By receiving timely alerts regarding application downtimes or performance anomalies, you can act swiftly to address incidents. Additionally, the platform facilitates monitoring every aspect—spans, logs, errors, and metrics—through a cohesive query language, further streamlining the observability experience. This integrated approach guarantees that you gain all the essential insights needed to sustain peak performance across your distributed systems, thereby enhancing overall operational efficiency.

Gain seamless access to advanced machines outfitted with cutting-edge AI development tools, hosted in secure data centers at competitive prices. Apolo delivers an extensive suite of solutions, ranging from powerful computing capabilities to a comprehensive AI platform that includes a built-in machine learning development toolkit. This platform can be deployed in a distributed manner, set up as a dedicated enterprise cluster, or used as a multi-tenant white-label solution to support both dedicated instances and self-service cloud options. With Apolo, you can swiftly create a strong AI-centric development environment that comes equipped with all necessary tools from the outset. The system not only oversees but also streamlines the infrastructure and workflows required for scalable AI development. In addition, Apolo’s services enhance connectivity between your on-premises and cloud-based resources, simplify pipeline deployment, and integrate a variety of both open-source and commercial development tools. By leveraging Apolo, organizations have the vital resources and tools at their disposal to propel significant progress in AI, thereby promoting innovation and improving operational efficiency. Ultimately, Apolo empowers users to stay ahead in the rapidly evolving landscape of artificial intelligence.

Experience a comprehensive tracking system designed for ultimate optimization, clear insights, and enhanced visibility. With automation at its core, our end-to-end solution allows you to effortlessly monitor the location and movement of your assets, leading to increased profitability. This user-friendly platform guarantees that you'll never misplace your assets again, whether overseeing a fleet of transport vehicles, waste containers, high-value machinery, or a complex supply chain. Keep a close eye on asset utilization, pinpoint bottlenecks, and anticipate delays effectively. Sensolus empowers you with the knowledge needed to maximize your assets' potential. You can confidently manage inventory levels, ensuring that the ideal stock is always available. By automating your inventory management processes, you significantly decrease the chances of having excess stock and underutilized assets. Our automated activity log eliminates uncertainty and enhances transparency. Furthermore, customizable alerts allow you to hold third parties accountable for timely deliveries, location accuracy, and proper asset utilization, thereby improving overall efficiency. This comprehensive approach not only streamlines operations but also fosters a culture of accountability within your organization.

The AWS Marketplace acts as a meticulously organized online venue where users can discover, purchase, implement, and manage third-party software, data products, and services smoothly within the AWS framework. It showcases a wide selection of offerings across multiple categories, such as security, machine learning, enterprise applications, and DevOps solutions. By providing an array of pricing models, including pay-as-you-go options, annual subscriptions, and free trial opportunities, AWS Marketplace simplifies the purchasing and billing processes by merging expenses into a single AWS invoice. Additionally, it promotes rapid deployment through pre-configured software that can be easily activated within AWS infrastructure. This streamlined approach not only accelerates innovation and reduces time-to-market for organizations but also gives them more control over software usage and related expenditures. Consequently, businesses are able to allocate more resources towards strategic objectives rather than getting bogged down by operational challenges, ultimately leading to more efficient resource management and improved overall performance.

MooseFS introduces an innovative approach to the Big Data Storage sector by merging data storage with processing capabilities on standard hardware, leading to a remarkable return on investment. Our company specializes in providing expert consultation and professional services tailored to storage solutions, along with implementation and ongoing support for your operational needs. Established in 2008 as a spinoff from Gemius, a prominent European firm that conducts internet measurements across more than 20 nations, MooseFS has evolved into one of the most desirable data storage software options worldwide. It remains integral to Gemius' primary operations, managing an impressive volume of over 300,000 events analyzed each second, continuously around the clock. Each solution we propose to our clients is rigorously tested within a genuine Big Data Analytics environment, ensuring reliability and effectiveness. This commitment to quality and performance sets us apart in the ever-evolving landscape of data storage technology.

Doctor Droid is a groundbreaking platform powered by AI, designed to revolutionize the way engineering teams monitor and address technical issues. It simplifies complex investigations by following established protocols, analyzing data from multiple integrations, identifying root causes, and utilizing standardized runbooks for automated recovery processes. By continuously monitoring alerts, the platform provides teams with essential insights and data, significantly reducing on-call time by up to 80% and allowing engineers to respond swiftly to incidents. Moreover, it improves the onboarding process for new engineers by automating document searches, introducing them to new tools, and helping them comprehend data, which empowers them to take on primary on-call duties from their very first day. In addition, Doctor Droid can perform ad-hoc investigations, such as examining Kubernetes clusters or evaluating recent deployments, while also adjusting to develop new strategies based on user feedback and existing documentation. The platform integrates seamlessly with over 40 different tools across the technology stack, which greatly enhances both its functionality and adaptability. Ultimately, this innovative solution enables engineering teams to work more efficiently and effectively in an ever-changing technological landscape, fostering a culture of proactive problem-solving and continuous improvement.

Curity's identity server serves as a comprehensive platform for identity and API security that adheres to established standards, aimed at delivering strong authentication and authorization for various digital services. By integrating identity security with API security, it facilitates efficient customer identity and access management, thereby promoting digital transformation, fostering growth, and enhancing customer loyalty. The platform boasts an array of features, such as multi-factor authentication, user journey orchestration, decentralized identity, and secure access management. It is compatible with several identity-related standards, including OAuth, OpenID Connect, and SCIM, which helps ensure both interoperability and adherence to industry norms. The architecture of Curity is grounded in the principle of separating concerns, which significantly improves security, flexibility, and scalability. Additionally, it offers sophisticated configuration management capabilities, allowing for transaction-based changes, rollbacks, and backups, all of which can be managed through a user-friendly web interface, command-line interface, RESTCONF API, and XML configuration files. With these diverse tools and features, the Curity identity server stands out as a vital solution for organizations looking to enhance their digital security landscape.

Kubernetes, cloud, and container security solutions provide comprehensive coverage from inception to completion by identifying vulnerabilities and prioritizing them for action; they enable effective detection and response to threats and anomalies while managing configurations, permissions, and compliance. Users can monitor all activities across cloud environments, containers, and hosts seamlessly. By leveraging runtime intelligence, security alerts can be prioritized to remove uncertainty in threat responses. Additionally, guided remediation processes utilizing straightforward pull requests at the source significantly decrease resolution time. Monitoring extends to any activity across applications or services, regardless of the user or platform. Risk Spotlight enhances security by reducing vulnerability notifications by up to 95% with relevant runtime context, while the ToDo feature allows for the prioritization of the most pressing security concerns. Furthermore, it is essential to map production misconfigurations and excessive privileges back to infrastructure as code (IaC) manifests, ensuring a robust security posture in deployment. With a guided remediation workflow, initiating a pull request directly at the source not only streamlines the process but also fosters accountability in addressing vulnerabilities.

RethinkDB facilitates the instantaneous delivery of JSON data to applications, ensuring real-time functionality. Traditional methods of polling for updates can result in slow performance, scalability problems, and increased maintenance burdens. As a robust and open-source database solution, RethinkDB greatly eases the process of developing applications that require real-time capabilities. Industry leaders such as Google Docs, Trello, and Quora exemplify the ideal of real-time web interactions. With RethinkDB, developers can craft exceptional real-time applications with significantly reduced effort and complexity. In multiplayer gaming, for instance, it is essential for all players to see each other's actions without delay. RethinkDB enhances the data architecture needed for quick, high-volume real-time exchanges. Furthermore, it simplifies the construction of systems for real-time trading and optimization, which often require rapid data handling. The database allows for the broadcasting of live updates to numerous clients, facilitating pricing alterations within mere milliseconds. Moreover, RethinkDB supports the development of real-time dashboards with data push notifications, which can accelerate business decision-making processes. Collectively, these attributes position RethinkDB as an indispensable resource for developers focused on maximizing user interaction and responsiveness in their applications. Ultimately, its capabilities make it an ideal choice for any organization aiming to elevate its real-time performance.

An all-encompassing AIOps solution poised to transform IT operations is readily available to you. Interlink’s cutting-edge AIOps platform harnesses the power of machine learning to provide service-oriented visibility and practical insights, greatly boosting your organization’s capability to withstand disruptive incidents. This comprehensive platform is driven by data and meticulously crafted to illustrate service availability while enhancing IT operations throughout your entire technological framework. With solutions that are robust, highly scalable, and fortified with advanced security measures, which have been successfully implemented in some of the largest enterprises worldwide, Interlink guarantees an unmatched user experience. Adopting a flexible strategy allows you to integrate your preferred tools without the concern of being locked into a single vendor. Our pricing model is designed to be affordable, clear, and predictable, ensuring you see a quick return on your investment. In addition, we place a strong emphasis on outstanding support and cultivate authentic partnerships with our clients to promote long-term success. By embracing this unified, service-focused monitoring approach, you can significantly enhance your DevOps environment. Ultimately, Interlink’s AIOps platform not only empowers organizations to concentrate on innovation but also ensures they maintain peak operational efficiency while navigating the complexities of IT management. This dual focus on innovation and efficiency is what sets Interlink apart in the evolving landscape of IT operations.

Akamai revolutionizes digital experiences by bringing them closer to users while simultaneously shielding them from various attacks and threats. Leading the forefront of digital transformation, the Akamai Intelligent Edge Platform acts as a protective shield for every component of a digital environment, including websites, users, devices, data centers, and cloud services. This cutting-edge technology not only minimizes obstacles but also boosts user interaction. With an extensive network of 250,000 edge servers located in strategic positions worldwide, it handles an impressive 2.5 exabytes of data each year, engaging daily with 1.3 billion devices and 100 million IP addresses. Being just one network hop away from over 90% of the global Internet population, it is recognized as the sole global intelligent edge platform that combines scalability, resilience, and security, which are vital for contemporary enterprises. Additionally, it offers sophisticated threat intelligence that plays a crucial role in identifying security vulnerabilities and effectively countering cyber threats, thereby ensuring a safer digital environment for users and businesses alike. This comprehensive approach places Akamai at the forefront of digital security and user experience enhancement.

Deep.BI provides innovative solutions for industries such as Media, Insurance, E-commerce, and Banking, enabling them to increase their revenue by forecasting unique user behaviors and streamlining processes that transform these users into loyal customers. This customer data platform incorporates a real-time user scoring mechanism backed by Deep.BI's sophisticated enterprise data warehouse. By leveraging this cutting-edge technology, digital enterprises can refine their product offerings, content, and distribution tactics. The platform accumulates extensive information about product use and content interaction, generating immediate and practical insights. These insights are rapidly produced through the Deep.Conveyor data pipeline and can be thoroughly analyzed with the Deep.Explorer business intelligence tool, which is further enhanced by the Deep.Score event scoring engine that applies customized AI algorithms tailored to specific business needs. Moreover, these insights can seamlessly be automated with the high-speed API and advanced AI model serving features of Deep.Conductor, facilitating quick and effective implementation. Ultimately, Deep.BI presents a comprehensive strategy for comprehending and enhancing user engagement across a multitude of digital platforms. This not only improves decision-making but also fosters a deeper understanding of customer loyalty dynamics.

Real-time operations are tracked and visualized through key performance indicators (KPIs) and dashboards, while also encompassing trends, analytics, alert systems, and hierarchical data. It integrates data from various sources, including industrial systems, IoT, business metrics, and external inputs. This comprehensive system enables users to view real-time data on any device, eliminating the necessity of transferring information elsewhere. Such a setup enhances decision-making through immediate insights and streamlined data access.

Apache CouchDB™ provides the ability to access your data from any location where it is needed. The Couch Replication Protocol is employed in a wide variety of projects and products that accommodate all types of computing environments, from globally distributed server clusters to mobile devices and web browsers. Users can choose to securely store their data on their own servers or with leading cloud service providers. Both web-based and native applications leverage CouchDB's inherent JSON support and its proficiency in managing binary data for all storage demands. The Couch Replication Protocol ensures seamless data transfer among server clusters, mobile devices, and web browsers, creating an excellent offline-first user experience while maintaining high performance and reliability. Moreover, CouchDB is equipped with a developer-friendly query language and optional MapReduce capabilities, which enhance the process of efficient and comprehensive data retrieval. With such features, CouchDB emerges as a flexible option for developers aiming to create powerful applications that effectively handle a wide range of data requirements, making it a valuable tool in modern software development. As a result, it is well-suited for both simple projects and complex, data-intensive applications alike.

PostgreSQL is a robust and well-established open-source object-relational database system that has been under continuous development for over thirty years, earning a strong reputation for its dependability, rich features, and exceptional performance. The official documentation provides thorough resources for both installation and usage, making it an essential reference for newcomers and seasoned users alike. Moreover, the vibrant open-source community supports numerous forums and platforms where enthusiasts can deepen their understanding of PostgreSQL, explore its capabilities, and discover job openings in the field. Participating in this community can greatly enrich your knowledge while strengthening your ties to the PostgreSQL network. Recently, the PostgreSQL Global Development Group revealed updates for all currently supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which fix 25 bugs reported in recent months. It is important to note that this update represents the final release for PostgreSQL 10, which will no longer receive any security patches or bug fixes moving forward. Therefore, if you are still using PostgreSQL 10 in a production environment, it is strongly advised to organize an upgrade to a newer version to maintain support and security. Transitioning to a more recent version will not only help safeguard your data but also enable you to benefit from the latest features and enhancements introduced in newer updates. Furthermore, keeping your database system up-to-date can significantly improve overall performance and provide better compatibility with modern applications.

The Apache Hadoop software library acts as a framework designed for the distributed processing of large-scale data sets across clusters of computers, employing simple programming models. It is capable of scaling from a single server to thousands of machines, each contributing local storage and computation resources. Instead of relying on hardware solutions for high availability, this library is specifically designed to detect and handle failures at the application level, guaranteeing that a reliable service can operate on a cluster that might face interruptions. Many organizations and companies utilize Hadoop in various capacities, including both research and production settings. Users are encouraged to participate in the Hadoop PoweredBy wiki page to highlight their implementations. The most recent version, Apache Hadoop 3.3.4, brings forth several significant enhancements when compared to its predecessor, hadoop-3.2, improving its performance and operational capabilities. This ongoing development of Hadoop demonstrates the increasing demand for effective data processing tools in an era where data drives decision-making and innovation. As organizations continue to adopt Hadoop, it is likely that the community will see even more advancements and features in future releases.

Molecula functions as an enterprise feature store designed to simplify, optimize, and oversee access to large datasets, thereby supporting extensive analytics and artificial intelligence initiatives. By consistently extracting features and reducing data dimensionality at the source while delivering real-time updates to a centralized repository, it enables millisecond-level queries and computations, allowing for the reuse of features across various formats and locations without the necessity of duplicating or transferring raw data. This centralized feature store provides a single access point for data engineers, scientists, and application developers, facilitating a shift from merely reporting and analyzing conventional data to proactively predicting and recommending immediate business outcomes with comprehensive datasets. Organizations frequently face significant expenses when preparing, consolidating, and generating multiple copies of their data for different initiatives, which can hinder timely decision-making. Molecula presents an innovative approach for continuous, real-time data analysis that is applicable across all essential applications, thereby significantly enhancing the efficiency and effectiveness of data utilization. This evolution not only empowers businesses to make rapid and well-informed decisions but also ensures that they can adapt and thrive in a fast-changing market environment. Ultimately, the adoption of such advanced technologies positions organizations to leverage their data as a strategic asset.

Centreon stands as a worldwide leader in IT monitoring that emphasizes business awareness to ensure optimal performance and uninterrupted operations. The company's AIOps-ready platform is comprehensive and tailored to function effectively within the intricacies of modern hybrid cloud environments, adeptly addressing the challenges posed by distributed clouds. By monitoring every facet of IT infrastructure, from cloud services to edge devices, Centreon provides a detailed and all-encompassing perspective. It eradicates blind spots by overseeing all hardware, middleware, and applications integral to contemporary IT workflows. This monitoring encompasses legacy systems on-premises, as well as assets in private and public clouds, extending all the way to the network's edge where smart devices and customer interactions converge to generate business value. Always keeping pace with the latest developments, Centreon is adept at managing even the most fluid operational settings. Its auto-discovery features enable seamless tracking of Software Defined Networks (SDN), AWS or Azure cloud resources, Wi-Fi access points, and all other components vital to today’s flexible IT infrastructure. Through continuous innovation and a commitment to adaptability, Centreon ensures that organizations maintain a competitive edge in an ever-evolving digital landscape.

Set up your Kubernetes framework and leverage KubeGrid for efficient deployment, oversight, and enhancement of potentially thousands of clusters. KubeGrid simplifies the entire lifecycle management of Kubernetes in both on-premises and cloud settings, enabling developers to easily deploy, oversee, and upgrade multiple clusters. Functioning as a Platform as Code solution, KubeGrid allows for the declarative specification of all Kubernetes requirements in a code format, addressing everything from infrastructure—whether on-premises or cloud—to the particulars of clusters and autoscaling policies, with KubeGrid autonomously managing deployment and upkeep. Unlike conventional infrastructure-as-code tools that primarily focus on provisioning, KubeGrid enriches the experience by automating Day 2 operations, which include infrastructure monitoring, failover management for malfunctioning nodes, and updates for clusters and their operating systems. This groundbreaking approach ensures that Kubernetes excels at the automated provisioning of pods, promoting optimal resource utilization throughout your infrastructure. By implementing KubeGrid, you not only simplify the intricacies of Kubernetes management but also enhance operational efficiency, making it an invaluable asset for developers. Ultimately, KubeGrid empowers teams to focus on innovation rather than being bogged down by management complexities.

MicroK8s delivers a streamlined, low-maintenance Kubernetes platform specifically designed for developers engaging with cloud infrastructures, clusters, workstations, Edge, and IoT devices. It smartly identifies the best nodes for the Kubernetes datastore and effortlessly promotes another node if a database node fails, thus eliminating the need for manual oversight in maintaining strong edge deployments. With its compact structure and intuitive defaults, MicroK8s is crafted to function effectively immediately after installation, making tasks such as upgrades and security management both straightforward and efficient. Perfect for micro clouds and edge computing scenarios, it offers comprehensive enterprise support at no extra cost, along with options for 24/7 support and ten years of security updates. Whether used near cell towers, on racing vehicles, in satellites, or in common household gadgets, MicroK8s ensures a complete Kubernetes experience for IoT and micro cloud applications. Its fully containerized approach guarantees dependable operations, further enhanced by streamlined over-the-air updates. By default, MicroK8s applies security updates automatically, although users have the flexibility to postpone them if they choose, and upgrading to the newest Kubernetes version requires just a single command, simplifying the entire process. This blend of user-friendliness and powerful features positions MicroK8s as an essential asset for contemporary developers seeking efficiency and reliability in their deployments. Moreover, the capacity for integration into diverse environments showcases its versatility in meeting various developmental needs.

Aidbox is more than just a simple FHIR server; it is an all-encompassing FHIR-based platform that greatly simplifies the creation of Health IT solutions. By leveraging Aidbox, developers can build interoperable applications that integrate effortlessly into the connected healthcare landscape, enabling a focus on business logic while we help manage the intricacies of FHIR implementation. Additionally, you can develop a customized EHR system tailored to your medical practice's specific workflows, creating a centralized data repository that boosts your analytical capabilities. Furthermore, the platform allows for the creation of telehealth applications designed to enhance communication and enable remote patient monitoring, all while ensuring adherence to CMS interoperability standards through a solid FHIR infrastructure. With Aidbox, developers can craft FHIR-first applications that provide clients with better access to healthcare information, supported by a metadata-driven platform that prioritizes customization and data control. This level of flexibility guarantees that your solutions can evolve alongside the changing demands of the healthcare sector, fostering innovation and responsiveness in your projects. Ultimately, Aidbox serves as a catalyst for transforming healthcare delivery, making it easier for developers to create impactful solutions.

Implement governance policies that adeptly oversee cloud-native environments without sacrificing agility and speed. Allocate budgets to specific teams or projects, track expenditures, control resource usage, and issue prompt alerts when financial limits are surpassed. Manage the entire lifecycle of assets, from inception and ownership through changes to their eventual removal. Understand the complex consumption trends of resources and the related costs for decentralized development teams, all while motivating developers to maximize value with each deployment. It is crucial to guarantee that microservices, containers, pods, and Kubernetes clusters function with optimal resource efficiency, while also upholding reliability, availability, and performance benchmarks. Replex supports the right-sizing of Kubernetes nodes and cloud instances by utilizing both historical and current usage data, acting as a centralized repository for all vital performance metrics to improve decision-making. This holistic strategy not only helps teams stay informed about their cloud expenditures but also promotes ongoing innovation and operational efficiency. By thoroughly managing these aspects, organizations can better align their cloud strategies with business objectives.

The WSO2 integration runtime engine plays a crucial role in your organization’s system architecture by offering a diverse range of functionalities. It acts as both an Enterprise Service Bus (ESB) and a microservices integrator, fulfilling various integration needs. When deployed as an ESB, it meets your demands for message routing, transformation, mediation, orchestration, and the hosting of services and APIs. The engine utilizes several routing methods, such as header-based, content-based, rule-based, and priority-based routing strategies. Additionally, it proficiently implements Enterprise Integration Patterns (EIPs) and features robust capabilities for integrating with databases and event streams. You can alter messages with tools like XSLT 1.0/2.0, XPath, XQuery, and Smooks, supplemented by visual data mapping tools and connectors for converting formats like CSV, JSON, and XML. Widely compatible with various data sources, the engine supports any relational database management system (RDBMS), along with formats such as CSV, Excel, ODS, Cassandra, and Google spreadsheets. It also supports the OData v4 protocol, making it ideal for use with multiple RDBMS and Cassandra data sources. Its database compatibility covers a broad spectrum, including MSSQL, DB2, Oracle, OpenEdge, TerraData, MySQL, PostgreSQL/EnterpriseDB, H2, Derby, and any database utilizing a JDBC driver, facilitating seamless nested queries across diverse data sources. This comprehensive compatibility and functionality ultimately empower organizations to enhance their integration workflows, driving efficiency and effectiveness in their operations.

The Ozone platform enables businesses to efficiently and safely deploy contemporary applications. By streamlining DevOps tool management, Ozone simplifies the process of deploying applications on Kubernetes. It seamlessly integrates your current DevOps tools to enhance the automation of your application delivery workflow. With automated pipeline processes, deployments are expedited, and infrastructure management can be handled on-demand. Additionally, it enforces compliance policies and governance for large-scale app deployments to mitigate the risk of financial losses. This unified interface facilitates real-time collaboration among engineering, DevOps, and security teams during application releases, fostering a more cohesive workflow. Embracing this platform can significantly improve overall operational efficiency and enhance productivity across various teams.

HostAccess serves as a terminal emulator software for PC users, specifically designed for those running Microsoft Windows. It equips users with a variety of terminal emulator functionalities, enabling secure connections to platforms like Linux, Unix, and IBM systems. The primary goal of HostAccess is to facilitate connections to PICK (multivalue) databases, which include systems such as UniVerse, UniData, D3, and ONware, allowing users to leverage their custom applications developed in PICK Basic. These applications not only provide APIs for seamless data exchange but also come with robust graphical user interface features. Users can efficiently generate reports and integrate their data within Windows-based applications. Moreover, HostAccess enables connections to multiple systems from a unified interface. With all necessary terminal emulator capabilities consolidated on a single page, HostAccess stands out as a comprehensive solution, catering to varying needs such as asynchronous and synchronous connections, server-side administration, support for multiple concurrent users, and access to several sessions simultaneously. Thus, if you require a versatile terminal emulator, HostAccess is an excellent choice for enhancing your productivity.

In today’s interlinked environment, seamless system integration is an essential necessity for organizations. Nevertheless, companies still encounter difficulties when attempting to connect systems that employ different architectural approaches, such as microservices alongside centralized Enterprise Service Buses (ESBs), particularly in complex settings. This challenge is effectively addressed by YANTRA Connect, an API-driven hybrid enterprise commerce integration platform designed to aid in the integration of sophisticated enterprise systems, irrespective of their foundational architecture. By providing effortless any-to-any connectivity, it revolutionizes the integration process for businesses. This adaptability not only allows organizations to optimize their operations but also significantly boosts their overall productivity and effectiveness in a competitive market.

M3 emerges as the premier choice for Cloud Native organizations looking to optimize their Prometheus-based monitoring systems. As a Prometheus Remote Storage solution, M3 offers full compatibility with PromQL, enabling effortless integration into existing setups. Originally developed by Uber, M3 was intended to provide detailed visibility into the company's operations, microservices, and infrastructure. Its impressive horizontal scaling ability allows M3 to serve as a centralized storage solution for a variety of monitoring applications. The system safeguards data integrity by maintaining three replicas and utilizes quorum reads and writes to ensure consistency. M3 has proven its reliability in production scenarios, successfully processing over one billion data points per second and enabling more than two billion data point reads within the same period. Furthermore, it is open-sourced under the Apache 2 license and benefits from a dynamic and dedicated community that fosters its continuous development and enhancement. This makes M3 not only a powerful tool but also a collaborative project that thrives on community input and innovation, ensuring it remains at the forefront of monitoring solutions.

Establish connections between your systems to enable a smooth and instantaneous flow of data. Optimize your workflows to reduce the likelihood of human errors. With our pre-designed integration templates, you can effortlessly configure, modify, and activate your integrations within moments. Encourage teamwork by connecting different systems, allowing for the swift sharing of updates while guaranteeing that all comments, files, and relevant information are accurately transmitted to your systems in real time. By uniting your systems, you can automate numerous repetitive tasks, leading to considerable cost reductions in operational expenses. Furthermore, protect your data during any unforeseen system interruptions. ZigiOps functions without a database, ensuring none of the exchanged data is stored. Our integration solution also boasts advanced data mapping and filtering features, enabling users to link entities across any hierarchical level, which significantly boosts the efficiency of your operations. This robust tool not only makes integration straightforward but also enhances collaboration among teams, ultimately driving better results across all projects. As a result, your organization can achieve greater productivity and innovation through improved interconnectivity.

Elevate customer satisfaction by implementing full transparency through infrastructure-as-code solutions. Blotout's SDK empowers organizations with familiar analytics and remarketing tools while maintaining the highest standards of user privacy. Engineered to adhere to GDPR, CCPA, and COPPA from the ground up, this SDK utilizes on-device, distributed edge computing to perform analytics, messaging, and remarketing without sacrificing personal data, device identifiers, or IP addresses. Gain deep customer insights by measuring, attributing, optimizing, and activating customer data comprehensively. Unique in its ability to integrate the entire customer lifecycle, it unifies event data from both online and offline channels. Building a trustworthy relationship with data ensures customer loyalty and compliance with GDPR and other global privacy laws, ultimately bolstering your brand’s reputation and fostering a loyal user base. By prioritizing transparency and privacy, businesses can create a more engaged and satisfied customer experience.

CrowdSec is a collaborative and open-source intrusion prevention system that not only analyzes behavioral patterns but also effectively responds to attacks while sharing valuable intelligence within its community. With a larger presence than cybercriminals, it empowers users to develop personalized intrusion detection systems by employing behavioral scenarios to detect potential threats. Users can take advantage of a crowdsourced and curated cyber threat intelligence platform to enhance their security measures. Additionally, you can specify the types of remediation actions you want to implement and utilize the community's IP blocklist to automate your protective strategies. CrowdSec is versatile and can be deployed on various platforms, including containers, virtual machines, bare metal servers, or even directly through our API. By working together, our cybersecurity community is actively dismantling the anonymity of cybercriminals, which is a significant advantage we hold. Contributing to this effort is easy, as you can share IP addresses that have caused you trouble to help build and maintain an effective IP blocklist for everyone’s benefit. Notably, CrowdSec's capability to process extensive logs is remarkably efficient, outperforming Fail2ban by a factor of 60, which makes it an indispensable tool in the fight against cyber threats. Through collective effort and shared intelligence, we can create a safer digital environment for all users.

Selector's software-as-a-service utilizes advanced machine learning and natural language processing to provide self-service analytics that enable quick access to actionable insights, leading to a remarkable reduction in mean time to resolution (MTTR) by up to 90%. The groundbreaking Selector Analytics platform harnesses artificial intelligence alongside machine learning to execute three vital functions, providing network, cloud, and application operators with essential insights. It consolidates data from a vast array of sources, such as configurations, alerts, metrics, events, and logs, which can include information from router logs, device performance statistics, or the settings of devices across the network. After collecting this data, the system normalizes, filters, clusters, and correlates it through established workflows to produce actionable insights. Following this, Selector Analytics employs machine learning-based data analysis to scrutinize metrics and events, facilitating the automated identification of anomalies. This process allows operators to quickly pinpoint and resolve issues, thereby improving overall operational efficiency. By adopting this thorough methodology, organizations not only enhance their data processing capabilities but also gain the ability to make informed decisions driven by real-time analytics. Ultimately, this empowers teams to respond to challenges proactively and adapt swiftly to the dynamic landscape of their operations.

Unveiling groundbreaking data streaming functionalities that transform customer interactions, the Kafka API integrates seamlessly with Redpanda, which is engineered for consistent low latencies while guaranteeing no data loss. Redpanda claims to surpass Kafka's performance by as much as tenfold, delivering enterprise-grade support along with prompt hotfixes. The platform features automated backups to S3 or GCS, liberating users from the tedious management tasks typically linked to Kafka. Furthermore, it accommodates both AWS and GCP environments, making it an adaptable option for a variety of cloud infrastructures. Designed for straightforward installation, Redpanda facilitates the quick launch of streaming services. Once you experience its remarkable performance, you will be ready to leverage its sophisticated features in live environments with confidence. We handle the provisioning, monitoring, and upgrades without needing your cloud credentials, thus protecting your sensitive information within your own environment. Your streaming setup will be efficiently provisioned, managed, and maintained, with options for customizable instance types tailored to meet your unique demands. As your needs change, expanding your cluster is both easy and effective, ensuring you can grow sustainably while maintaining high performance. With Redpanda, businesses can fully focus on innovation without the burden of complex infrastructure management.

Begin your effortless journey into the cloud with NexClipper! Our managed Prometheus service streamlines the observability process for both Kubernetes and hybrid environments, allowing you to unwind while we tackle the intricacies. Experience a smooth transition with our migration and management solutions designed specifically for cloud-native frameworks. Even though we focus on ease of use, we never sacrifice security or scalability, ensuring that your solution adapts as your business grows. With all vital features readily available, you can concentrate on expansion without the stress of complex configurations. Take advantage of a managed service that harnesses the strengths of the open-source community, eliminating the need for custom-built architectures. NexClipper acts as your portal to a vast Prometheus ecosystem, supported by tried-and-true solutions and our own creative initiatives. Embrace the technology you know, while we manage the demanding tasks for you, crafting a monitoring experience that is both efficient and effective. Let us empower you to achieve your goals with minimal hassle!

Engineered with a focus on the needs of engineers, our Prometheus monitoring solution is remarkably easy to implement, set up, and begin relaying metrics. We handle the scaling aspects of your Prometheus infrastructure, allowing you to dedicate your attention solely to your projects without any worries. Our service ensures that your data is preserved long-term with triple redundancy, enabling you to gain insights without the hassle of managing databases. You will benefit from automatic updates and plugins, keeping your Prometheus and Grafana stack up-to-date without requiring extra effort from you. All the tools for effective management of your Prometheus metrics are readily available, and we emphasize your independence by avoiding vendor lock-in, providing you with complete data export options at any time. This model merges the strengths of an open-source solution with the dependability and security offered by a SaaS platform. We guarantee your data is well-secured with threefold redundancy and stored for a full year, allowing you to scale seamlessly as we manage all the complexities on your behalf. Furthermore, it gives you peace of mind knowing that Prometheus experts are available to provide assistance around the clock, ensuring that you can always count on specialized support when required. Thus, you're not only equipped with effective monitoring tools, but you also have the backing of professionals dedicated to your success.

KubeSphere functions as a distributed operating system specifically crafted for overseeing cloud-native applications, relying on Kubernetes as its foundational technology. Its design is modular, facilitating seamless incorporation of third-party applications within its ecosystem. As a distinguished multi-tenant, enterprise-grade, open-source platform for Kubernetes, KubeSphere boasts extensive automated IT operations alongside streamlined DevOps practices. The platform is equipped with an intuitive, wizard-driven web interface that enables organizations to enrich their Kubernetes setups with vital tools and capabilities essential for successful enterprise strategies. Being recognized as a CNCF-certified Kubernetes platform, it remains entirely open-source and benefits from community contributions for continuous improvement. KubeSphere is versatile, allowing deployment on existing Kubernetes clusters or Linux servers, and providing options for both online and air-gapped installations. This all-encompassing platform effectively offers a variety of features, such as DevOps support, service mesh integration, observability, application management, multi-tenancy, along with storage and network management solutions, making it an ideal choice for organizations aiming to enhance their cloud-native operations. Moreover, KubeSphere's adaptability empowers teams to customize their workflows according to specific requirements, encouraging both innovation and collaboration throughout the development lifecycle. Ultimately, this capability positions KubeSphere as a robust solution for organizations seeking to maximize their efficiency in managing cloud-native environments.