Top Cortex Alternatives

Redis Labs serves as the official home of Redis, showcasing its leading product, Redis Enterprise, which is recognized as the most advanced version of Redis. Offering much more than mere caching capabilities, Redis Enterprise is accessible for free in the cloud, delivering NoSQL solutions and utilizing the fastest in-memory database available. The platform is designed for scalability and enterprise-level resilience, enabling massive scaling along with user-friendly administration and operational efficiency. Notably, Redis in the Cloud has gained popularity among DevOps professionals due to its capabilities. Developers benefit from advanced data structures and a broad range of modules, empowering them to foster innovation and achieve quicker time-to-market. Chief Information Officers appreciate the robust security and reliable expert support that Redis provides, ensuring an impressive uptime of 99.999%. For scenarios involving active-active configurations, geodistribution, and conflict resolution with read/write operations across multiple regions on the same dataset, relational databases are recommended. Furthermore, Redis Enterprise facilitates various flexible deployment options, making it adaptable to different environments. The ecosystem also includes Redis JSON, Redis Java, and Python Redis, along with best practices for Redis on Kubernetes and GUI management, solidifying its versatility in modern application development.

Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored forenterprise teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.

VictoriaMetrics Cloud enables users to deploy VictoriaMetrics Enterprise on AWS seamlessly, eliminating the need for traditional DevOps tasks such as configuration, monitoring, log collection, security management, software updates, protection, or backups. By utilizing AWS for our VictoriaMetrics Cloud, we offer user-friendly endpoints designed for efficient data ingestion, while VictoriaMetrics handles all aspects of software upkeep and ensures optimal settings are in place. Key features of VictoriaMetrics Cloud include its ability to seamlessly integrate with Prometheus; users can configure Prometheus, Vmagent, or VictoriaMetrics to send data to the Managed VictoriaMetrics, and then utilize the provided endpoint as a Prometheus source in Grafana. Each instance of VictoriaMetrics Cloud operates within its own isolated environment, preventing any potential interference between instances. Furthermore, scaling instances up or down can be accomplished in just a few clicks, providing users with flexibility based on their needs. Additionally, the service incorporates automated backups, offering peace of mind and data security.

Elevate your monitoring and alerting strategies by utilizing a leading open-source tool known as Prometheus. This powerful platform organizes its data in the form of time series, which are essentially sequences of values linked to specific timestamps, metrics, and labeled dimensions. Beyond the stored time series, Prometheus can generate temporary derived time series based on the results of queries, enhancing versatility. Its querying capabilities are powered by PromQL (Prometheus Query Language), which enables users to real-time select and aggregate data from time series. The results from these queries can be visualized as graphs, presented in a table format via Prometheus's expression browser, or retrieved by external applications through its HTTP API. To configure Prometheus, users can employ both command-line flags and a configuration file, where flags define unchangeable system parameters such as storage locations and retention thresholds for disk and memory. This combination of configuration methods offers a customized monitoring experience that can accommodate a variety of user requirements. If you’re keen on delving deeper into this feature-rich tool, additional information is available at: https://sourceforge.net/projects/prometheus.mirror/. With Prometheus, you can achieve a level of monitoring sophistication that optimizes performance and responsiveness.

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.

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.

Engineers have a deep affection for open-source solutions. We enhanced leading open-source monitoring tools like Jaeger, Prometheus, and ELK, merging them into a robust and scalable SaaS platform. This allows you to gather and analyze all your logs, metrics, traces, and additional data in a single location for comprehensive monitoring. With our user-friendly and customizable dashboards, you can easily visualize your data. Logz.io employs an AI/ML human-coach that automatically identifies and rectifies errors or exceptions in your logs. Our system can alert you via Slack, PagerDuty, Gmail, and other channels, ensuring you can swiftly address new incidents. You can centralize your metrics at any level through our Prometheus-as-a-service offering. By unifying logs and traces, we simplify the monitoring process. Getting started is easy—just add three lines of code to your Prometheus configuration file to initiate the forwarding of your metrics and data to Logz.io, streamlining your monitoring experience even further. This integration ultimately enhances your operational efficiency and response times.

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.

A specialized performance monitoring solution designed for distributed systems, particularly fine-tuned for microservices, cloud-native setups, and containerized platforms like Kubernetes, is capable of processing and analyzing more than 100 billion telemetry data points from a single SkyWalking cluster. This advanced tool allows for efficient log formatting, metric extraction, and the implementation of various sampling strategies through a robust script pipeline. It also makes it possible to establish alarm configurations based on service-focused, deployment-focused, and API-focused methodologies. Moreover, it enables the transmission of alerts and all telemetry data to external third-party services, enhancing its utility. In addition, the tool integrates seamlessly with established ecosystems such as Zipkin, OpenTelemetry, Prometheus, Zabbix, and Fluentd, thereby ensuring thorough monitoring across multiple platforms. Its versatility and range of features make it an invaluable resource for organizations aiming to optimize performance and reliability in their distributed environments. The ability to adapt and respond to varying monitoring needs further solidifies its importance in today's technology landscape.

Prometheus, a consulting firm with over 25 years of experience in the oil refining industry, provides an array of products and services specifically aimed at improving refinery management, profitability, operations, and marketing strategies. Founded in 1985 by Alberto Ferrucci, a former vice president at ERG, Italy's largest private oil company, Prometheus operates out of its headquarters in Genoa, Italy. The company specializes in Industrial Consulting tailored to the oil processing sector, offering a variety of services including refinery evaluations, energy efficiency studies, assessments of plant capacity, and improvements in product quality along with process design and operational support. While primarily serving clients in Italy and other Mediterranean countries, Prometheus is also home to a Software Sector that develops an advanced Decision Support System (DSS) designed to optimize the technical and economic dimensions of logistics, processing, marketing, and transportation within the oil and petrochemical industries. This extensive range of offerings not only establishes Prometheus as a vital contributor to enhancing efficiency and innovation in the oil refining sector but also highlights its commitment to adapting to the evolving needs of the market. As the industry faces new challenges, Prometheus remains poised to lead in providing strategic solutions that foster growth and sustainability.

Our remarkable success in EDI can provide a substantial advantage for your organization. At the heart of all Promethean B2B Integration services is our Prometheus MANAGED EDI solution, which has been leading the industry since its launch over two decades ago. This solution surpasses the functionality, dependability, and customization options of every other EDI provider currently available. It is designed as a single-source, hosted, multi-tenant, cloud-based EDI software solution specifically tailored to your requirements. For businesses that prefer to manage all EDI systems and processes internally, the ON DEMAND feature of Prometheus offers an exciting and transformative opportunity. This groundbreaking offering integrates translation software, communication technologies, and strategic services into a cohesive, hosted, multi-tenant, cloud-based EDI solution accessible on demand. Operating on a subscription basis, Prometheus ON DEMAND ensures prompt access, budget-friendly pricing, and scalability, as well as the flexibility to meet your mapping needs. By opting for this innovative solution, you can optimize your operations and significantly improve your efficiency in handling EDI processes, ultimately leading to better business outcomes. Embracing such advanced technology will not only support your current needs but also position you for future growth and adaptability in the ever-evolving market landscape.

Tailored specifically to meet the unique monitoring requirements of cloud-native systems, this innovative solution has been meticulously crafted to handle the vast quantities of monitoring data produced by cloud-native applications. It functions as a cohesive platform that unites business stakeholders, application developers, and infrastructure engineers, allowing them to efficiently address issues across the entire technology stack. The platform is designed to cater to a variety of use cases, from real-time data collection for ongoing deployments to hourly analytics for capacity management. With a convenient one-click deployment feature, it supports both Prometheus and StatsD ingestion protocols effortlessly. The solution provides comprehensive storage and indexing capabilities for both Prometheus and Graphite data types within a unified framework. In addition, it boasts integrated Grafana-compatible dashboards that are fully equipped to handle PromQL and Graphite queries, complemented by a dependable alerting engine that can interface with services such as PagerDuty, Slack, OpsGenie, and webhooks. Capable of ingesting and querying billions of metric data points every second, the system facilitates swift alert triggering, immediate dashboard access, and prompt issue detection within merely one second. To further enhance its reliability, it maintains three consistent copies of data across different failure domains, significantly strengthening its resilience in the realm of cloud-native monitoring. This ensures that users can trust the system during critical operations and rely on its performance even during peak loads.

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!

The Prometheus platform enables organizations utilizing SAP, IBM Maximo, or Oracle to achieve innovative digital transformation for their maintenance and operational needs. With user-friendly, role-specific workflows, Prometheus solutions cater to every aspect of enterprise asset management. Whether connected to the internet or not, all options within the Prometheus platform are accessible across various devices. Our offerings encompass a wide range of functionalities, including planning and scheduling, permitting and safety processes, STO management, mobility solutions, master data handling, as well as comprehensive reporting and analytics capabilities. As a result, organizations can streamline their operations and enhance efficiency across the board.

Helidon is a collection of open-source Java libraries designed specifically for the development of microservices, built on a high-performance web core powered by Netty. The launch of Helidon Níma represents a groundbreaking advancement, being the first Java microservices framework to utilize virtual threads for improved efficiency. Prioritizing ease of use, Helidon provides extensive tooling and numerous examples to ensure a smooth onboarding experience for developers. By functioning as a suite of libraries that runs on a fast Netty core, Helidon minimizes unnecessary overhead and maintains a lightweight structure. It offers full support for MicroProfile and incorporates popular APIs like JAX-RS, CDI, and JSON-P/B. The Helidon Reactive WebServer acts as the foundation for our implementation, featuring a modern functional programming model built on Netty. This lightweight, flexible, and reactive web server delivers an efficient and user-friendly platform for building microservices. Furthermore, Helidon is equipped with crucial features such as health checks, metrics, tracing, and fault tolerance, providing developers with all the essential tools needed to construct cloud-ready applications that integrate seamlessly with systems like Prometheus and Jaeger/Zipkin. With its robust capabilities and exceptional performance, Helidon stands out as an optimal choice for developers aiming to build efficient, scalable, and cloud-native applications that can adapt to evolving technological demands.

Fluent Bit is proficient in accessing data from both local files and networked devices while also pulling metrics in the Prometheus format from your server environment. It automatically applies tags to all events, which aids in effective filtering, routing, parsing, modification, and application of output rules. With built-in reliability features, it guarantees that operations can be resumed smoothly without data loss in the face of network or server disruptions. Instead of merely serving as a replacement, Fluent Bit significantly enhances your observability framework by refining your existing logging infrastructure and optimizing the processing of metrics and traces. It embraces a vendor-neutral approach, which ensures easy integration with various ecosystems, such as Prometheus and OpenTelemetry. Highly trusted by major cloud service providers, financial institutions, and enterprises in need of a robust telemetry agent, Fluent Bit skillfully manages numerous data formats and sources while maintaining top-notch performance and reliability. This adaptability makes it an ideal solution for the ever-changing demands of modern data-driven environments. Moreover, its continuous evolution and community support further solidify its position as a leading choice in telemetry solutions.

Marathon is a powerful container orchestration tool that works in harmony with Mesosphere’s Datacenter Operating System (DC/OS) and Apache Mesos to provide exceptional high availability through its active/passive clustering and leader election strategies, ensuring uninterrupted service. It is compatible with multiple container runtimes, offering seamless integration for Mesos containers that utilize cgroups and Docker, making it suitable for a variety of development ecosystems. Furthermore, Marathon enables the deployment of stateful applications by allowing users to attach persistent storage volumes to their applications, which proves advantageous for running data-driven databases like MySQL and Postgres under Mesos management. The platform features a user-friendly and robust interface, alongside an array of service discovery and load balancing solutions tailored to meet different requirements. Health checks are conducted to assess application performance through HTTP or TCP protocols, thereby enhancing reliability. Additionally, users can establish event subscriptions by supplying an HTTP endpoint to receive notifications, facilitating integration with external load balancers. Metrics can be accessed in JSON format at the /metrics endpoint and can also be integrated with popular monitoring systems such as Graphite, StatsD, DataDog, or scraped by Prometheus, thereby allowing for thorough monitoring and evaluation of application performance. This array of capabilities makes Marathon an adaptable and effective solution for managing containerized applications, ensuring that developers have the tools they need for efficient orchestration and management. Ultimately, its features not only streamline operational processes but also enhance the overall deployment experience for various applications.

The complexity of software deployment has risen sharply with the advent of Kubernetes, AWS, and an array of observability tools, making the process quite challenging. Diego steps in to provide a seamless solution that alleviates these difficulties. By automating the migration from code to cloud, Diego accelerates the software delivery process: - Build with confidence on a reliable cloud infrastructure that includes ArgoCD, Kubernetes, and Prometheus. - Access fully functional environments and pipelines without any required configurations. - Drastically cuts down on months of DevOps work and decreases development timelines. With Diego, you gain access to all the vital tools necessary for deploying containerized applications that are not only secure and scalable but also resilient, ultimately boosting both productivity and efficiency. This innovative approach allows teams to focus on development rather than deployment challenges, paving the way for more agile workflows.

Dash0 acts as a holistic observability platform based on OpenTelemetry, integrating metrics, logs, traces, and resources within an intuitive interface that promotes rapid and context-driven monitoring while preventing vendor dependency. It merges metrics from both Prometheus and OpenTelemetry, providing strong filtering capabilities for high-cardinality attributes, coupled with heatmap drilldowns and detailed trace visualizations to quickly pinpoint errors and bottlenecks. Users benefit from entirely customizable dashboards powered by Perses, which allow code-based configuration and the importation of settings from Grafana, alongside seamless integration with existing alerts, checks, and PromQL queries. The platform incorporates AI-driven features such as Log AI for automated severity inference and pattern recognition, enriching telemetry data effortlessly and enabling users to leverage advanced analytics without being aware of the underlying AI functionalities. These AI capabilities enhance log classification, grouping, inferred severity tagging, and effective triage workflows through the SIFT framework, ultimately elevating the monitoring experience. Furthermore, Dash0 equips teams with the tools to proactively address system challenges, ensuring that their applications maintain peak performance and reliability while adapting to evolving operational demands. This comprehensive approach not only streamlines the observability process but also empowers organizations to make informed decisions swiftly.

Kops.dev simplifies the processes involved in provisioning, managing, and monitoring infrastructure across multiple cloud platforms. This tool enables smooth deployment and oversight of resources on major services like AWS, Google Cloud, and Azure, all accessible through a single interface. It incorporates built-in monitoring tools such as Prometheus, Grafana, and FluentBit, which grant users immediate insights and control over logs. Additionally, with its support for distributed tracing, Kops.dev allows for thorough performance tracking and optimization of applications built on microservices architectures. The platform takes care of container registry configurations, permission management, and credential oversight required for image deployment within your cluster. It adeptly manages YAML configurations, thus minimizing the user input needed while effectively handling service settings. Furthermore, it simplifies database initialization, which includes establishing data stores, managing firewall settings, and securely connecting credentials to service pods. Automatic configuration of host attachments and TLS certificates ensures that your services are securely accessible. By adopting this comprehensive method, Kops.dev not only enhances operational efficiency but also alleviates many of the challenges tied to cloud infrastructure management, empowering users to focus on their core applications instead of infrastructure hurdles. Overall, its user-friendly features make it an invaluable resource for developers and IT professionals alike.

Nutanix's Karbon Platform Services (KPS) is a versatile multicloud Platform-as-a-Service (PaaS) that leverages Kubernetes to accelerate the development and deployment of microservices-based applications across diverse cloud platforms. The platform features a rich selection of managed services, including Container-as-a-Service for Kubernetes deployments, Functions-as-a-Service for serverless applications, global data pipelines, and streaming services like Kafka-aaS and NATS-aaS. In addition, it offers AI capabilities through services such as Tensorflow-aaS and Openvino-aaS, alongside ingress controllers and service mesh options (nginx/traefik-aaS and Istio-aaS), application monitoring and alerting with Prometheus-aaS, and log forwarding functionalities. KPS enhances multicloud operations via a SaaS model that boosts operational efficacy and ensures uniform management of applications, data, and security across various cloud infrastructures. This enables developers to write their applications once and deploy them effortlessly across any cloud environment, thereby simplifying the overall application lifecycle. Moreover, KPS allows organizations to prioritize innovation while reducing the intricacies associated with managing cloud resources, ultimately fostering a more agile development environment. By streamlining cloud management, KPS not only increases productivity but also supports the rapid scaling of applications in response to changing business needs.

The NVIDIA Triton™ inference server delivers powerful and scalable AI solutions tailored for production settings. As an open-source software tool, it streamlines AI inference, enabling teams to deploy trained models from a variety of frameworks including TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, and Python across diverse infrastructures utilizing GPUs or CPUs, whether in cloud environments, data centers, or edge locations. Triton boosts throughput and optimizes resource usage by allowing concurrent model execution on GPUs while also supporting inference across both x86 and ARM architectures. It is packed with sophisticated features such as dynamic batching, model analysis, ensemble modeling, and the ability to handle audio streaming. Moreover, Triton is built for seamless integration with Kubernetes, which aids in orchestration and scaling, and it offers Prometheus metrics for efficient monitoring, alongside capabilities for live model updates. This software is compatible with all leading public cloud machine learning platforms and managed Kubernetes services, making it a vital resource for standardizing model deployment in production environments. By adopting Triton, developers can achieve enhanced performance in inference while simplifying the entire deployment workflow, ultimately accelerating the path from model development to practical application.

Proficy Historian emerges as a leading software solution tailored for the collection of industrial time-series and alarms & events data, operating at exceptional speeds to guarantee safe and efficient storage, distribution, and quick access for analysis, ultimately increasing business value. With extensive experience and a proven record of thousands of successful global implementations, Proficy Historian revolutionizes the operational and competitive landscape for organizations by providing easy access to vital data for assessing asset and process performance. The newest iteration of Proficy Historian boasts enhanced usability, configurability, and maintainability, driven by significant improvements in its underlying architecture. Users can harness the solution's powerful yet user-friendly functionalities to extract fresh insights from their machinery, process data, and business tactics. Moreover, the inclusion of remote collector management greatly improves the user experience, while its horizontal scalability ensures thorough data visibility throughout the enterprise, establishing it as a critical resource for contemporary businesses. By integrating Proficy Historian into their operations, companies can unlock hidden potential, drive operational excellence, and foster a culture of continuous improvement. This transformative software not only enhances efficiency but also positions organizations to stay ahead in a competitive market.

VictoriaMetrics is an economical and scalable option for monitoring that also functions as a time series database. Additionally, it is suitable for the long-term storage of Prometheus data. This solution operates as a standalone executable without requiring any external dependencies. Configuration is managed through clear command-line flags along with sensible defaults. Notably, it offers a global query view, enabling multiple Prometheus instances or other data sources to input data into VictoriaMetrics. Users can later retrieve this data with a single query. It effectively addresses challenges related to high cardinality and high churn rates by implementing a series limiter, ensuring optimal performance and reliability. Furthermore, its user-friendly setup makes it accessible for a wide range of applications.

Finout simplifies the billing process for Cloud Providers, Data Warehouses, and CDNs into a single, detailed invoice, offering an outstanding view of your cloud expenditures without requiring extensive configuration. It enables you to monitor discrepancies, receive personalized recommendations, and forecast expenses as your business grows. In contrast to AWS, which charges based on instances, Finout empowers you to concentrate on the true costs related to your pods. By integrating smoothly without the need for agents, you can utilize your existing Datadog or Prometheus frameworks to quickly obtain insights into pod-level expenses. This tool allows you to shift from merely grasping total cloud costs to understanding the expenses linked to your actual usage rather than simply payments made. For example, rather than evaluating EC2 instances and DynamoDB indexes, you can focus directly on your Kubernetes pods. Furthermore, Finout cultivates a common language throughout your organization, benefiting not only the DevOps team but the entire workforce. This cohesive strategy promotes collaboration and clarity across various departments, resulting in more informed financial choices and fostering a culture of cost awareness within the company. Ultimately, Finout bridges the gap between technical insights and strategic financial planning.

Amazon Managed Grafana is a robust service aimed at simplifying the visualization and analysis of large-scale operational data. This platform allows users to create isolated workspaces that consist of dedicated Grafana servers, which can be automatically set up, configured, scaled, and maintained with ease. These specialized workspaces enhance the ability to visualize and analyze operational data derived from various sources, including AWS services like Amazon CloudWatch, AWS X-Ray, and Amazon Managed Service for Prometheus, alongside data from external providers. The service incorporates AWS security features, ensuring compliance with organizational security standards. Additionally, migrating from self-hosted Grafana systems is made straightforward with Amazon Managed Grafana, allowing users to retain their existing dashboards and configurations. The platform also offers collaborative features such as real-time dashboard sharing and editing, version control, and enhanced sharing capabilities, thereby significantly improving team productivity. Ultimately, Amazon Managed Grafana distinguishes itself by not only easing the complexities of data management but also fostering enhanced collaboration among team members, making it an invaluable tool for organizations.

Cortex Onboard is a free application that accompanies your Cortex system, intended to assist you in setting up your Cortex Hub and downloading vital updates for your Cortex devices, which include the most recent enhancements. This app enables you to manage alerts, access AIS data, and keep track of instrument readings from any location on your boat. You can effortlessly view standard sensors or instruments that are connected through the NMEA 2000 network. By using the Cortex Onboard app, the process of configuring and updating your devices is made easier, and you can receive alerts directly to your device concerning AIS information. Furthermore, the Cortex Hub is equipped with integrated sensors that monitor essential metrics such as battery status, barometric pressure, and the vessel's location. To further improve your monitoring capabilities, you can connect your Cortex Hub to NMEA 2000 or add external sensors that track wind, depth, bilge high water levels, temperature, shore power, and overall security. With these extensive features, Cortex Onboard guarantees a thorough management and monitoring experience for your time on the water, ensuring that you can enjoy your boating adventures with confidence.

OpenCost represents a collaborative open-source project that remains impartial to vendors, aimed at tracking and distributing costs related to cloud infrastructure and containers in real time. Crafted by specialists in Kubernetes and supported by industry professionals, OpenCost sheds light on the frequently unclear expenditure patterns tied to Kubernetes usage. It provides various adaptable options for monitoring and allocating costs associated with cloud resources, thereby enabling precise showback, chargeback, and ongoing reporting capabilities. With its real-time cost allocation, users can trace expenses down to the level of individual containers, ensuring meticulous oversight of financial flows. The tool proficiently manages cost distribution for in-cluster resources, such as CPU, GPU, memory, load balancers, and persistent volumes, making it a versatile asset. OpenCost also incorporates dynamic asset pricing through integration with billing APIs from major cloud providers like AWS, Azure, and GCP, while offering customized pricing solutions for on-premises Kubernetes clusters. In addition to monitoring Kubernetes cluster expenditures, it has the capability to track costs from various cloud services related to object storage, databases, and other managed offerings. Moreover, it effortlessly works in conjunction with other open-source applications, facilitating the export of pricing data to systems such as Prometheus, which amplifies its effectiveness in cost management. As such, OpenCost emerges as an all-encompassing tool for organizations aiming to exercise robust oversight over their cloud expenditures while optimizing resource allocation strategies.

Cortex Cloud, created by Palo Alto Networks, is a cutting-edge platform designed to deliver immediate security for cloud infrastructures throughout the entire software delivery process. By merging Cloud Detection and Response (CDR) with an advanced Cloud Native Application Protection Platform (CNAPP), Cortex Cloud offers extensive visibility and proactive protection for code, cloud environments, and Security Operations Center (SOC) configurations. This platform enables teams to quickly thwart and resolve threats with the help of AI-driven risk prioritization, runtime defense techniques, and automated remediation strategies. Furthermore, Cortex Cloud's seamless integration across various cloud environments ensures adaptable and robust protection for modern cloud-native applications, all while keeping pace with the ever-changing landscape of security threats. Organizations can thus rely on Cortex Cloud to not only enhance their security posture but also to streamline their operations in a rapidly evolving digital world.

Cleric functions as a self-sufficient AI Site Reliability Engineer (SRE) that independently monitors, enhances, and resolves issues in software infrastructure without requiring human intervention. This collaborative AI partner integrates smoothly with a range of existing tools like Kubernetes, Datadog, Prometheus, and Slack, allowing it to investigate and troubleshoot production problems effectively. By autonomously handling alerts, Cleric allows engineers to focus their efforts on development tasks instead of repetitive duties. It has the capability to assess multiple systems at once, delivering insights in just minutes—an endeavor that would normally take hours if done manually. When confronted with new challenges, Cleric generates hypotheses and conducts real-time queries using its built-in tools, sharing its conclusions only when it is certain of its results. Each investigation further refines Cleric's abilities by learning from real-world outcomes and incidents. After just one month, Cleric can take on around 20–30% of on-call duties, allowing your team to emphasize solving complex issues rather than dealing with routine alert management. Consequently, this not only enhances the overall productivity of the engineering team but also fosters a work environment where creativity and innovation can thrive more freely.