Prometheus Integrations

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

Introducing revolutionary data streaming features that enable unparalleled customer experiences. The Kafka API and its ecosystem are fully compatible with Redpanda, which boasts predictable low latencies and ensures zero data loss. Redpanda is designed to outperform Kafka by up to ten times, offering enterprise-level support and timely hotfixes. It also includes automated backups to S3 or GCS, providing a complete escape from the routine operations associated with Kafka. Additionally, it supports both AWS and GCP environments, making it a versatile choice for various cloud platforms. Built from the ground up for ease of installation, Redpanda allows for rapid deployment of streaming services. Once you witness its incredible capabilities, you can confidently utilize its advanced features in a production setting. We take care of provisioning, monitoring, and upgrades without requiring access to your cloud credentials, ensuring that sensitive data remains within your environment. Your streaming infrastructure will be provisioned, operated, and maintained seamlessly, with customizable instance types available to suit your specific needs. As your requirements evolve, expanding your cluster is straightforward and efficient, allowing for sustainable growth.

Embark on a seamless cloud-native journey with NexClipper! Our managed Prometheus service simplifies the observability process for Kubernetes and hybrid environments, allowing you to relax as we handle the complexities. Enjoy a hassle-free experience with our migration and management solutions tailored for cloud-native ecosystems. While we prioritize simplicity, we never compromise on security or scalability, ensuring that your solution evolves alongside your business needs. With all the essential features at your fingertips, you can focus on growth without the burden of intricate setups. Take advantage of a managed service that leverages the strengths of the open-source community, removing the necessity for custom architectures. NexClipper serves as your gateway to an expansive Prometheus ecosystem, backed by proven solutions and our own innovative projects. Utilize the technology you are familiar with, and let us take care of the heavy lifting for you, creating an efficient and effective monitoring experience!

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

KubeSphere serves as a distributed operating system designed for managing cloud-native applications, utilizing Kubernetes as its core. Its architecture is modular, enabling the easy integration of third-party applications into its framework. KubeSphere stands out as a multi-tenant, enterprise-level, open-source platform for Kubernetes, equipped with comprehensive automated IT operations and efficient DevOps processes. The platform features a user-friendly wizard-driven web interface, which empowers businesses to enhance their Kubernetes environments with essential tools and capabilities necessary for effective enterprise strategies. Recognized as a CNCF-certified Kubernetes platform, it is entirely open-source and thrives on community contributions for ongoing enhancements. KubeSphere can be implemented on pre-existing Kubernetes clusters or Linux servers and offers options for both online and air-gapped installations. This unified platform effectively delivers a range of functionalities, including DevOps support, service mesh integration, observability, application oversight, multi-tenancy, as well as storage and network management solutions, making it a comprehensive choice for organizations looking to optimize their cloud-native operations. Furthermore, KubeSphere's flexibility allows teams to tailor their workflows to meet specific needs, fostering innovation and collaboration throughout the development process.

Experience effortless migration of your existing VM workloads with just one click, enabling seamless application mobility across on-premises and cloud environments. Why limit yourself to a one-directional cloud migration when you can enjoy ongoing mobility? Transition your workloads from on-premises to the cloud, between different cloud providers, or back again with ease. Choose your cloud strategy according to your needs. For effective business continuity, a multi-cloud strategy and application mobility are essential. Say goodbye to protracted and costly VM migration projects; Instashift offers a solution that automates the process at the click of a button. There’s no requirement for complicated techniques—migrate your VMs along with their applications, databases, and states effortlessly. Your applications can enjoy continuous mobility, allowing for quick relocations to the cloud or back to on-premises with a simple click. If you have thousands of VMs to transfer, Instashift provides a seamless automated solution tailored for you. This innovative platform serves sovereign and emerging cloud providers, equipping them with the same capabilities and flexibility that users have come to expect from leading public cloud services, ensuring that you stay ahead in the evolving digital landscape.

JHipster serves as a comprehensive development platform designed for the rapid creation, development, and deployment of contemporary web applications and microservice architectures. It accommodates a variety of frontend technologies, such as Angular, React, and Vue, and also extends support to mobile applications using Ionic and React Native. On the backend, JHipster offers compatibility with Spring Boot (utilizing either Java or Kotlin), Micronaut, Quarkus, Node.js, and .NET frameworks. When it comes to deployment, the platform adheres to cloud-native principles via Docker and Kubernetes, providing deployment options for various environments including AWS, Azure, Cloud Foundry, Google Cloud Platform, Heroku, and OpenShift. The primary objective is to produce a comprehensive and modern web application or microservice architecture equipped with a high-performance and resilient server-side stack, showcasing excellent test coverage. The user interface is designed to be sleek, modern, and mobile-first, utilizing Angular, React, or Vue along with Bootstrap for styling. Moreover, the platform incorporates a powerful workflow for application building through tools like Webpack and Maven or Gradle, ensuring a resilient microservice architecture that remains focused on cloud-native methodologies. This holistic approach ensures that developers have all the resources they need to create scalable and efficient applications.

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

A comprehensive continuous delivery platform designed for various application types across multiple cloud environments, enabling engineers to deploy with increased speed and assurance. This GitOps tool facilitates deployment operations through pull requests on Git, while its deployment pipeline interface clearly illustrates ongoing processes. Each deployment benefits from a dedicated log viewer, providing clarity on individual deployment activities. Users receive real-time updates on the state of applications, along with deployment notifications sent to Slack and webhook endpoints. Insights into delivery performance are readily available, complemented by automated deployment analysis utilizing metrics, logs, and emitted requests. In the event of a failure during analysis or a pipeline stage, the system automatically reverts to the last stable state. Additionally, it promptly identifies configuration drift to alert users and showcase any modifications. A new deployment is automatically initiated upon the occurrence of specified events, such as a new container image being pushed or a Helm chart being published. The platform supports single sign-on and role-based access control, ensuring that credentials remain secure and are not exposed outside the cluster or stored in the control plane. This robust solution not only streamlines the deployment process but also enhances overall operational efficiency.

Flux is an open and extensible suite of continuous and progressive delivery solutions designed for Kubernetes. The newest iteration of Flux introduces numerous enhancements that increase its flexibility and adaptability. As a project incubated by the CNCF, Flux, along with Flagger, facilitates application deployments utilizing strategies such as canaries, feature flags, and A/B rollouts. It possesses the capability to manage any Kubernetes resource seamlessly. Built-in features allow for effective infrastructure and workload dependency management. Through automatic reconciliation, Flux enables continuous deployment (CD) and, with Flagger's assistance, supports progressive delivery (PD). Additionally, Flux can automate updates by pushing changes back to Git, including container image updates through image scanning and patching processes. It integrates smoothly with various Git providers, including GitHub, GitLab, and Bitbucket, and can also utilize s3-compatible buckets as a source. Furthermore, it is compatible with all major container registries and CI workflow providers. With support for Kustomize, Helm, RBAC, and policy-driven validation mechanisms such as OPA, Kyverno, and admission controllers, Flux ensures that deployment processes are streamlined and efficient. This combination of features not only simplifies management but also enhances operational reliability in Kubernetes environments.

Meltano offers unparalleled flexibility in how you can deploy your data solutions. Take complete ownership of your data infrastructure from start to finish. With an extensive library of over 300 connectors that have been successfully operating in production for several years, you have a wealth of options at your fingertips. You can execute workflows in separate environments, perform comprehensive end-to-end tests, and maintain version control over all your components. The open-source nature of Meltano empowers you to create the ideal data setup tailored to your needs. By defining your entire project as code, you can work collaboratively with your team with confidence. The Meltano CLI streamlines the project creation process, enabling quick setup for data replication. Specifically optimized for managing transformations, Meltano is the ideal platform for running dbt. Your entire data stack is encapsulated within your project, simplifying the production deployment process. Furthermore, you can validate any changes made in the development phase before progressing to continuous integration, and subsequently to staging, prior to final deployment in production. This structured approach ensures a smooth transition through each stage of your data pipeline.

The landscape of software deployment has become increasingly complicated due to Kubernetes, AWS, and various observability tools. Diego provides a streamlined solution to ease this burden. By automating the transition from code to cloud, Diego enables quicker software delivery: - Develop reliably on a robust cloud infrastructure, including ArgoCD, Kubernetes, and Prometheus. - Utilize fully operational environments and pipelines with zero configuration needed. - Significantly reduces months of DevOps efforts and shortens development cycles. With Diego, you have all the essential tools to deploy containerized applications that are secure, scalable, and resilient in a timely manner, enhancing overall productivity and efficiency.

Isovalent Cilium Enterprise delivers comprehensive solutions for cloud-native networking, security, and observability, leveraging the power of eBPF to enhance your cloud infrastructure. It facilitates the connection, security, and monitoring of applications across diverse multi-cluster and multi-cloud environments. This robust Container Network Interface (CNI) offers extensive scalability alongside high-performance load balancing and sophisticated network policy management. By shifting the focus of security to process behavior rather than merely packet header analysis, it redefines security protocols. Open source principles are fundamental to Isovalent's philosophy, emphasizing innovation and commitment to the values upheld by open source communities. Interested individuals can arrange a customized live demonstration with an expert in Isovalent Cilium Enterprise and consult with the sales team to evaluate a deployment tailored for enterprise needs. Additionally, users are encouraged to explore interactive labs in a sandbox setting that promote advanced application monitoring alongside features like runtime security, transparent encryption, compliance monitoring, and seamless integration with CI/CD and GitOps practices. Embracing such technologies not only enhances operational efficiency but also strengthens overall security capabilities.

Transform your Kubernetes autoscaling from a reactive approach to a proactive one with PredictKube, enabling you to initiate autoscaling processes ahead of anticipated load increases through our advanced AI predictions. By leveraging data over a two-week period, our AI model generates accurate forecasts that facilitate timely autoscaling decisions. The innovative predictive KEDA scaler, known as PredictKube, streamlines the autoscaling process, reducing the need for tedious manual configurations and enhancing overall performance. Crafted using cutting-edge Kubernetes and AI technologies, our KEDA scaler allows you to input data for more than a week and achieve proactive autoscaling with a forward-looking capacity of up to six hours based on AI-derived insights. The optimal scaling moments are identified by our trained AI, which meticulously examines your historical data and can incorporate various custom and public business metrics that influence traffic fluctuations. Furthermore, we offer free API access, ensuring that all users can utilize essential features for effective autoscaling. This combination of predictive capabilities and ease of use is designed to empower your Kubernetes management and enhance system efficiency.

Worldr provides robust protection for the data you share through Microsoft Teams, guarding it against external threats and preventing unauthorized organizations from accessing your most critical digital information. It is versatile enough to operate in both cloud and on-premise environments, and its streamlined architecture can be implemented within minutes, accommodating organizations of any scale. By maintaining complete ownership of your data, you ensure that no third party, including Microsoft, has access to it. All messages, user information, and metadata are securely stored in a database that features a transparent encryption layer, with encryption keys securely managed in Hashicorp Vault. You have the flexibility to store your data in any location worldwide, adhering to compliance and regulatory standards while fulfilling legal requirements. Additionally, Worldr ensures that you meet industry-specific regulations regarding data transfer and processing, helping you comply with the mandates set by various nations to uphold data sovereignty effectively. This comprehensive approach not only enhances security but also builds trust with your stakeholders by demonstrating a commitment to data protection.

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

Unlock the potential to turn your innovative concepts into AI applications within moments. Our no-code/low-code platform empowers everyone, from seasoned developers to everyday business users, to craft cutting-edge AI-based applications in just 10 minutes. Effortlessly connect with APIs such as ChatGPT, Dall-E 2, and Codex from OpenAI, along with the ability to implement custom machine learning models. You can create tailored admin clients and CRUD functionalities, enabling efficient management of sales, inventory, contracts, and beyond. Develop interactive dashboards that convert data into insightful actions, driving innovation within your organization. Additionally, easily set up a chatbot to enhance customer support and create a truly omnichannel experience through various integrations. This comprehensive cloud platform harmonizes low-code/no-code tools with advanced technologies, ensuring your web applications are scalable, secure, and straightforward to oversee. Revolutionize your software development journey with our versatile no-code/low-code platform, which is ideal for both business users and skilled developers, paving the way for limitless possibilities. Moreover, the user-friendly interface ensures that anyone can get started quickly, making technology accessible to all.

Fluent Bit is capable of reading data from both local files and network devices, while also extracting metrics in the Prometheus format from your server environment. It automatically tags all events to facilitate filtering, routing, parsing, modification, and output rules effectively. With its built-in reliability features, you can rest assured that in the event of a network or server failure, you can seamlessly resume operations without any risk of losing data. Rather than simply acting as a direct substitute, Fluent Bit significantly enhances your observability framework by optimizing your current logging infrastructure and streamlining the processing of metrics and traces. Additionally, it adheres to a vendor-neutral philosophy, allowing for smooth integration with various ecosystems, including Prometheus and OpenTelemetry. Highly regarded by prominent cloud service providers, financial institutions, and businesses requiring a robust telemetry agent, Fluent Bit adeptly handles a variety of data formats and sources while ensuring excellent performance and reliability. This positions it as a versatile solution that can adapt to the evolving needs of modern data-driven environments.

HPE OneView is a comprehensive IT infrastructure management solution that streamlines IT operations through automation, simplifying the management of computing, storage, and networking lifecycles. By transitioning to a software-defined infrastructure, organizations can leverage automation to enhance their modern data centers, transforming servers, storage, and networking for optimal efficiency. This platform employs a software-defined methodology to oversee IT infrastructure, featuring efficient workflow automation, a user-friendly dashboard, and a robust ecosystem of partners. The intelligence embedded in the software supports automated provisioning with consistent templates, ensuring high reliability and control, which subsequently reduces operating costs. With HPE OneView, users can effortlessly provision and manage physical infrastructure through software-defined templates and APIs, facilitating the automation of configuration and lifecycle operations. By adopting IT infrastructure automation, businesses can not only streamline their operations but also significantly boost employee productivity in the process. Ultimately, HPE OneView empowers organizations to achieve greater agility and responsiveness in their IT environments.

OES boasts high availability and scalability, making it suitable for managing growing deployment workloads, while also being adaptable enough to work seamlessly with various SDLC tool chains. It provides a user-friendly interface for defining custom stages that allow for simultaneous deployments across multiple targets, significantly reducing time spent on deployment. Actions such as rolling back, moving forward, or halting all parallel deployments can be performed effortlessly with just a click. Additionally, the platform enables automation of repetitive tasks within the SDLC process by allowing the creation of numerous child pipelines that can be triggered from a parent pipeline. With its modular design and API-based architecture, OES functions effectively as a central Continuous Delivery (CD) tool for numerous enterprises. This flexibility allows developers on different teams to easily connect external services with Spinnaker for streamlined deployment orchestration, enhancing overall productivity and collaboration. As a result, OES stands out as a powerful solution for optimizing deployment processes across various environments.

A specialized application performance monitoring tool tailored for distributed systems, particularly optimized for microservices, cloud-native environments, and containerized architectures like Kubernetes. One SkyWalking cluster has the capacity to collect and analyze over 100 billion pieces of telemetry data. It boasts capabilities for log formatting, metric extraction, and the implementation of diverse sampling policies via a high-performance script pipeline. Additionally, it allows for the configuration of alarm rules that can be service-centric, deployment-centric, or API-centric. The tool also has the functionality to forward alarms and all telemetry data to third-party services. Furthermore, it is compatible with various metrics, traces, and logs from established ecosystems, including Zipkin, OpenTelemetry, Prometheus, Zabbix, and Fluentd, ensuring seamless integration and comprehensive monitoring across different platforms. This adaptability makes it an essential tool for organizations looking to optimize their distributed systems effectively.

Blink serves as a powerful ROI enhancer for security teams and business executives aiming to efficiently secure an extensive range of scenarios. It provides comprehensive visibility and coverage of alerts throughout your organization and security infrastructure. By leveraging automated processes, it minimizes noise and decreases the incidence of false alarms in alerts. Additionally, it scans for attacks while proactively detecting insider threats and vulnerabilities. Users can establish automated workflows that incorporate pertinent context, simplify communication, and shorten mean time to resolution (MTTR). Alerts can be acted upon to bolster your cloud security posture through no-code automation and generative AI. The platform also facilitates shift-left access requests, streamlines approval processes, and allows developers to work without hindrance, all while ensuring application security. Furthermore, it enables ongoing monitoring of applications for compliance with SOC2, ISO, GDPR, and other standards, helping to enforce necessary controls. This comprehensive approach not only improves security but also enhances operational efficiency across the board.

Kops.dev enhances the simplicity of provisioning, administration, and monitoring of infrastructure across various cloud environments. It allows for effortless deployment and management of resources on platforms such as AWS, Google Cloud, and Azure, all through a unified interface. The platform features integrated monitoring solutions like Prometheus, Grafana, and FluentBit, providing users with real-time visibility and log oversight. With built-in support for distributed tracing, it facilitates comprehensive tracking and performance optimization of applications running on microservices. The system automatically configures container registries, manages permissions, and oversees credentials necessary for deploying images within your cluster. YAML configurations are seamlessly handled, minimizing the input required from users while managing service settings effectively. Additionally, it streamlines database setup, which encompasses creating data stores, managing firewalls, and securely linking credentials to service pods. Host attachments and TLS certificates are also automatically configured, ensuring that your services can be securely exposed. This comprehensive approach not only enhances efficiency but also significantly reduces the complexities associated with managing cloud infrastructure.

Functions independently to manage regular alerts and actions, thereby minimizing escalations and mitigating burnout. It intelligently modifies thresholds and dashboards to proactively avert incidents and updates runbooks with each new occurrence. This efficiency can save on-call engineers as much as 20 hours weekly, allowing them to focus on development tasks. It manages all alerts, conducts root cause analysis, resolves incidents, and ensures that the on-call experience is stress-free. By automating root cause analysis and incident response, it can reduce Mean Time to Resolution (MTTR) by up to 80%. With comprehensive incident summaries and hypotheses accessible prior to logging in, users will enjoy quicker response times and significantly enhanced uptime. Getting started is quick and easy with production-ready AI that is secure and adept in utilizing all necessary production tools just like a seasoned software engineer. Additionally, it automatically maps your production environment, comprehends code, and tracks modifications seamlessly without requiring any prior training. This innovative approach not only streamlines operations but also enhances overall productivity and efficiency within the team.

Streamline the management of service catalogs, alert audits, and SLI reporting throughout your observability platforms with Temperstack. This solution enhances visibility, identifies potential problems early, and fosters collaboration among all team members, from CTOs to SRE engineers. By managing metrics effectively, it helps avert downtimes, swiftly resolve issues, and bolster the reliability of your systems. It also allows for the visualization of dependencies, simplification of SLOs, and achievement of organizational goals. With comprehensive monitoring capabilities, automated alerting, and a focus on reducing operational fatigue, Temperstack measures, optimizes, and accelerates the resolution of incidents. It aids in conducting postmortems, refining configurations, and promoting excellence within teams. Moreover, Temperstack seamlessly integrates with leading monitoring tools, offering a centralized command interface for all observability needs and operates efficiently across a variety of cloud providers. It also facilitates the integration of various tools throughout the development toolchain while providing access to trained experts whenever needed, ensuring that no heavy lifting related to infrastructure is required for users. Ultimately, Temperstack empowers organizations to enhance their operational efficiency and resilience.

RAD Security develops distinctive behavioral profiles that capture your positive actions throughout the software supply chain, cloud-native infrastructure, workloads, and identity management to identify zero-day threats and enhance inputs for shift-left practices and posture management. This process involves recognizing malicious cloud-native identities and ensuring they are confined to the minimum level of access necessary. The risk assessment considers various factors such as runtime activities, excessive permissions, the status of identities (whether they are actively used or not), and their involvement in potential threat vectors. By integrating RBAC, misconfigurations, and image CVEs pertaining to the same workload with existing threat vectors, you can effectively prioritize risks. You can delve directly into the most concerning identities and examine detailed audit logs and their connections to other roles, service accounts, role bindings, and workloads. Leveraging Access IQ and AI-driven queries on Kubernetes API audit logs allows for a better understanding of how valid identities are utilized. Furthermore, the zero-trust Kubernetes RBAC policy generator simplifies the implementation of least privilege access, ensuring that security measures are both effective and manageable. This comprehensive approach not only enhances security posture but also streamlines operational efficiency across the entire cloud environment.

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.

The Nutanix Kubernetes Platform (NKP) streamlines platform engineering by minimizing operational challenges and ensuring uniformity across various environments. It offers all the necessary elements for a production-ready Kubernetes setup within a fully integrated, turnkey framework. You can deploy it in public cloud settings, on-premises, or at edge locations, with or without the Nutanix Cloud Infrastructure. The platform is built from upstream CNCF projects that are not only fully integrated and validated but also easily replaceable, preventing vendor lock-in. It simplifies the management of complex microservices while improving observability and security. Additionally, it provides robust multi-cluster management features for your public cloud Kubernetes deployments without necessitating a shift to a different runtime. By harnessing the power of AI, it helps users maximize their Kubernetes experience through anomaly detection paired with root cause analysis, as well as an intelligent chatbot that offers best practices and fosters consistency in operations. This comprehensive approach enables teams to focus more on innovation rather than being bogged down by operational hurdles.

Kubiya is an innovative internal developer platform powered by AI that utilizes conversational technology to optimize DevOps workflows. By seamlessly connecting with existing tools and platforms, it enables developers to engage with their systems through natural language, significantly decreasing the time required for automation and boosting overall productivity. This platform features AI-driven assistants that can efficiently manage routine functions such as overseeing Jira queues, provisioning infrastructure, and applying just-in-time cloud permissions, thereby empowering engineering teams to concentrate on more strategic tasks. With its agentic-native architecture, Kubiya guarantees reliable and secure operations, adhering to rigorous enterprise security standards and compliance with corporate policies. Additionally, the platform integrates effortlessly into communication tools, including Slack and Microsoft Teams, offering a user-friendly conversational interface for task delegation and automation. As a result, Kubiya not only enhances efficiency but also fosters a more collaborative environment for development teams.

The SAP Store serves as a vast online marketplace where companies can find, test, and buy more than 3,000 applications, extensions, and services provided by SAP and its reliable partners. This platform presents a diverse range of solutions aimed at helping organizations tackle various business challenges, including enterprise software and tools for finance, human resources, and analytics, in addition to innovative applications and enhancements. Users have the option to explore both complimentary trials and premium offerings, ensuring smooth access to SAP and partner solutions that enhance business operations. With user-friendly browsing and search functionalities, businesses can easily locate, acquire, and manage their desired solutions while enjoying seamless integration with their existing SAP technologies. This convenience ultimately empowers organizations to optimize their workflows and drive efficiency across all departments.

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

Cleric serves as an independent AI Site Reliability Engineer (SRE) that autonomously oversees, optimizes, and repairs software infrastructure without the need for human oversight. Acting as a collaborative AI partner, it seamlessly integrates with various existing tools, such as Kubernetes, Datadog, Prometheus, and Slack, to explore and diagnose production issues. By automatically managing alerts, Cleric enables engineers to dedicate more time to development rather than routine tasks. It efficiently evaluates systems simultaneously, providing insights in mere minutes, which would typically take hours to resolve manually. When faced with unfamiliar problems, Cleric formulates hypotheses and executes real-time queries with its integrated tools, only presenting conclusions once it is confident in its findings. With each investigation, Cleric enhances its capabilities by learning from actual outcomes and incidents. By the end of the first month, Cleric is equipped to manage approximately 20–30% of on-call responsibilities, empowering your team to prioritize problem-solving over monotonous alert triage. As a result, the overall efficiency and productivity of the engineering team can significantly improve.

Deductive AI is an innovative platform that transforms the way organizations address intricate system failures. By seamlessly integrating your entire codebase with telemetry data, which includes metrics, events, logs, and traces, it enables teams to identify the root causes of problems with remarkable speed and accuracy. This platform simplifies the debugging process, significantly minimizing downtime and enhancing overall system dependability. With its ability to integrate with your codebase and existing observability tools, Deductive AI constructs a comprehensive knowledge graph that is driven by a code-aware reasoning engine, effectively diagnosing root issues similar to a seasoned engineer. It rapidly generates a knowledge graph containing millions of nodes, revealing intricate connections between the codebase and telemetry data. Furthermore, it orchestrates numerous specialized AI agents to meticulously search for, uncover, and analyze the subtle indicators of root causes dispersed across all linked sources, ensuring a thorough investigative process. This level of automation not only accelerates troubleshooting but also empowers teams to maintain higher system performance and reliability.

Oracle's database offerings provide clients with cost-effective and high-efficiency options, including the renowned multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. The Oracle Autonomous Database, which can be accessed on-premises through Oracle Cloud@Customer or within the Oracle Cloud Infrastructure, allows users to streamline their relational database systems and lessen management burdens. By removing the intricacies associated with operating and securing Oracle Database, Oracle Autonomous Database ensures customers experience exceptional performance, scalability, and reliability. Furthermore, organizations concerned about data residency and network latency can opt for on-premises deployment of Oracle Database. Additionally, clients who rely on specific versions of Oracle databases maintain full authority over their operational versions and the timing of any updates. This flexibility empowers businesses to tailor their database environments according to their unique requirements.

CloudFX empowers IT departments to provide a seamless, platform-centric IT-as-a-Service experience for end-users. In order to boost employee efficiency and enhance customer satisfaction, organizations must ensure a cohesive experience for both staff and clients. This approach fosters business agility and innovation, underscoring the necessity for IT to adopt a platform-based model that avoids the constraints of vendor lock-in. The CloudFX platform is designed with open standards and state-of-the-art technologies, offering self-service catalogs to minimize cloud sprawl and shadow IT issues. It features advanced billing and analytics capabilities that analyze, aggregate, and optimize costs while ensuring better governance and compliance through improved policies. Additionally, it streamlines the procurement process for IT products and services, provides diverse options for vendor-neutral IT solutions, and automates the management and tracking of orders. Furthermore, the platform supports unified SaaS personalization and management, along with SaaSOps for effective SaaS service oversight. Ultimately, CloudFX equips organizations with the tools necessary to thrive in a rapidly evolving digital landscape.

Apache JMeter™ is an open source tool developed in pure Java, intended for conducting load tests to assess functional behavior and performance metrics. Initially created for web application testing, its capabilities have grown to encompass various testing functions. This versatile software can evaluate the performance of both static and dynamic resources, including web applications that are dynamic in nature. By simulating substantial loads on a single server or a network of servers, it allows users to examine the system's resilience and analyze its performance across different types of loads. As a result, Apache JMeter has become an essential tool for developers and testers seeking to ensure optimal performance and reliability in their applications.

Enhance on-demand accessibility to production, development, and testing environments, facilitating superior innovation, accelerating application delivery, and optimizing the transition to production. Our team focuses on crafting and deploying cloud infrastructure tailored to meet your current and future business requirements. We excel in creating web-scale architectures characterized by load balancing, automatic scaling, self-healing capabilities, and cost efficiency. You will only incur costs for the resources you utilize, while still being equipped to handle demand surges. Adopting the Infrastructure as Code approach allows us to create infrastructure that is self-documenting, version-controlled, and automated. This enables you to gain valuable insights into your applications, pinpoint performance bottlenecks, comprehend resource needs, automatically adjust scaling when necessary, and notify relevant stakeholders. Additionally, we collaborate closely with your developers to refine and enhance your application's build and deployment pipeline, ensuring seamless integration and improved workflow. By leveraging these strategies, you can achieve a more agile and responsive development cycle.

You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.

With Lens Autopilot, DevOps engineers from Mirantis create CI/CD pipelines tailored to your specific applications, development and approach. Our monitoring and alerting provides real time status of clusters and resources with access to logs for prompt troubleshooting and debugging of errors. Lens Autopilot combats security threats and detects vulnerabilities early with continuous monitoring and alerting which can be integrated with Slack or Microsoft Teams. View all of your logs and key metrics into a unified Grafana Loki dashboard. Combining the powerful capabilities of Lens with Mirantis’ world-class professional services expertise, Lens Autopilot delivers a ZeroOps, fully managed service for organizations that want to improve their application delivery on top of Kubernetes, significantly improving their return on investment. Mirantis is proud and confident to guarantee our technical capability to achieve the following outcomes with Lens Autopilot in 12 months or less.

Identify and prioritize your most critical business risks with actionable insights that can drive effective decision-making. Ensure your Kubernetes environment is consistently fortified for maximum availability. Gain knowledge from the experiences of others to sidestep common pitfalls. Proactively mitigate risks before they escalate into incidents. Maintain comprehensive visibility across all layers of your infrastructure to stay informed. Keep an organized inventory of containers, clusters, add-ons, and their dependencies. Aggregate insights from various clouds and on-premises environments for a unified view. Receive timely alerts regarding end-of-life (EOL) and incompatible versions to keep your systems updated. Say goodbye to spreadsheets and custom scripts forever. Chkk’s goal is to empower developers to avert incidents by learning from the experiences of others and avoiding previously established errors. Utilizing Chkk's collective learning technology, users can access a wealth of curated information on known errors, failures, and disruptions experienced within the Kubernetes community, which includes users, operators, cloud service providers, and vendors, thereby ensuring that history does not repeat itself. This proactive approach not only fosters a culture of continuous improvement but also enhances overall system resilience.

Google Cloud Observability is designed to give you full visibility into the health and performance of your applications. Through the collection of key telemetry data, such as metrics, logs, and traces, the platform empowers you to proactively detect and address issues, keeping your applications reliable and available. With tools for monitoring, troubleshooting, and debugging, Google Cloud's observability services make it easier to analyze complex, distributed systems and respond to unexpected changes efficiently. The ability to view performance patterns and gain actionable insights helps you optimize your strategies and maintain seamless operations across your environment.