Business Software for Kubernetes

We utilize cutting-edge cloud technologies such as OpenStack, Kubernetes, and VMware, tailoring them to ensure your IT infrastructure gains a significant competitive edge. Whether you seek the affordability of a public cloud or the robustness of a private cloud, CoreSpace is equipped to deliver a fully customized, managed, and modernized cloud solution leveraging OpenStack, Kubernetes, and/or VMware. Share your unique story with us, and we'll develop a cloud solution meticulously crafted to meet the specific requirements of your business. You can access any cloud option while ensuring the utmost levels of performance, consistency, and security for both users and developers. A public cloud consists of a shared pool of computing resources accessible to multiple clients, allowing them to pay solely for the resources they consume, which are virtually limitless during peak demand. In contrast, a private cloud offers a dedicated pool of computing resources exclusively for the client, providing enhanced control and security over their data and applications. By choosing the right cloud solution, your business can achieve not only operational efficiency but also drive innovation and growth.

Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

Cilium is an open-source tool designed to enhance, secure, and monitor network interactions among container workloads and cloud-native environments, leveraging the groundbreaking Kernel technology known as eBPF. Unlike traditional setups, Kubernetes does not inherently include a Load Balancing solution, which is often left to cloud providers or the networking teams in private cloud settings. By utilizing BGP, Cilium can manage incoming traffic effectively, while also using XDP and eBPF to optimize performance. These combined technologies deliver a powerful and secure load balancing solution. Operating at the kernel level, Cilium and eBPF allow for informed decisions regarding the connectivity of various workloads, whether they reside on the same node or across different clusters. Through the integration of eBPF and XDP, Cilium significantly enhances latency and performance, replacing the need for Kube-proxy altogether, which streamlines operations and improves resource usage. This not only simplifies the network architecture but also empowers developers to focus more on application development rather than infrastructure concerns.

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.

Google Distributed Cloud encompasses a comprehensive suite of managed hardware and software offerings that expand Google Cloud’s capabilities to both edge locations and on-premises data centers. Powered by Anthos, this solution is particularly suited for local data processing, edge computing, and modernization of on-site infrastructure, while also addressing strict requirements for data sovereignty, security, and privacy. With the advantages of Google’s advanced AI, data analytics, and database solutions, users can gain valuable insights and overcome traditional limitations related to scale, performance, and costs when handling data, regardless of its location. You can sustain control and independence over your infrastructure and data, ensuring compliance with stringent regulations, all the while leveraging cloud-native services tailored to your specific environment. This flexibility allows organizations to innovate rapidly while maintaining the highest standards of data management and security.

Achieve detailed insight into engineering technologies, systems, and processes, all the way from the initial code to the final deployment. Effortlessly link Cider to your existing ecosystem while integrating security measures without disrupting engineering workflows. Enhance the security of your CI/CD pipeline by focusing on a customized set of prioritized risks and actionable recommendations suited to your specific environment. Cider flawlessly integrates with every component of your CI/CD process, delivering a thorough and precise evaluation of all technologies, frameworks, and integrations present in your setup. By mapping every intelligent connection in your environment, Cider offers complete visibility throughout the entire CI/CD journey, from source code management users to artifacts that are deployed in production. Evaluate the security posture of your engineering systems and processes comprehensively. Conduct an analysis of your environment against plausible attack scenarios to pinpoint necessary controls that will help minimize your CI/CD attack surface, ensuring a robust development cycle. This thorough assessment enables teams to proactively strengthen their defenses in an ever-evolving threat landscape.

Runtime threat assessment, runtime attack analysis, and targeted protection of your infrastructure and applications. Zero-day attacks can be stopped by staying ahead of attackers. Observe attack behavior. ThreatStryker monitors, correlates, learns, and acts to protect your applications. Deepfence ThreatStryker displays a live, interactive, color-coded view on the topology and all processes and containers running. It inspects hosts and containers to find vulnerable components. It also interrogates configuration to identify file system, processes, and network-related misconfigurations. ThreatStryker uses industry and community standards to assess compliance. ThreatStryker conducts a deep inspection of network traffic, system behavior, and application behavior and accumulates suspicious events over time. The events are classified and correlated with known vulnerabilities and suspicious patterns.

Open source, multi-cloud platform to scan, map, and rank vulnerabilities in containers, images hosts, repositories, and running containers. ThreatMapper detects threats to your applications in production across clouds, Kubernetes and serverless. You cannot secure what you can't see. ThreatMapper automatically discovers your production infrastructure. It can identify and interrogate cloud instances, Kubernetes nodes and serverless resources. This allows you to discover the applications and containers, and map their topology in real time. ThreatMapper allows you to visualize and discover the external and internal attack surfaces for your applications and infrastructure. Bad actors can gain access to your infrastructure by exploiting vulnerabilities in common dependencies. ThreatMapper scans hosts and containers for known vulnerable dependencies. It also takes threat feeds from more than 50 sources.

Crossplane is an open-source add-on for Kubernetes that allows platform teams to create infrastructure from various providers while offering higher-level self-service APIs for application teams to utilize, all without requiring any coding. You can provision and oversee cloud services and infrastructure using kubectl commands. By enhancing your Kubernetes cluster, Crossplane delivers Custom Resource Definitions (CRDs) for any infrastructure or managed service. These detailed resources can be combined into advanced abstractions that are easily versioned, managed, deployed, and utilized with your preferred tools and existing workflows already in place within your clusters. Crossplane was developed to empower organizations to construct their cloud environments similarly to how cloud providers develop theirs, utilizing a control plane approach. As a project under the Cloud Native Computing Foundation (CNCF), Crossplane broadens the Kubernetes API to facilitate the management and composition of infrastructure. Operators can define policies, permissions, and other protective measures through a custom API layer generated by Crossplane, ensuring that governance and compliance are maintained throughout the infrastructure lifecycle. This innovation paves the way for streamlined cloud management and enhances the overall developer experience.

Cluster.dev serves as the ultimate management solution for cloud-native infrastructures, seamlessly integrating the diverse capabilities of your existing infrastructure tools. It empowers teams to develop platform-as-a-service environments tailored to their specific needs, while providing the ability to customize both projects and infrastructures. By consolidating all changes and the overall status of your infrastructure in one location—your Git repository—you can monitor everything effortlessly. This platform eliminates the need for tedious manual runbooks and complex CI/CD processes, ensuring that you maintain a clear overview of your infrastructure. With Cluster.dev, you can confidently implement infrastructure changes, knowing that your tools will function as anticipated. Every element within Cluster.dev, from scripts to Kubernetes manifests, is tracked and maintained with precision. The platform ensures security and independence from external vendors, allowing you to transmit secrets to third-party applications even when they do not support your secret storage solution. Additionally, the remarkable template engine of Cluster.dev offers unparalleled customization options for all aspects of your infrastructure, enabling you to tailor configurations, scripts, manifests, and Terraform code to meet your unique requirements. In an ever-evolving technological landscape, having such a versatile tool is invaluable for maintaining control and flexibility.

Calamu Protect ensures the automatic fragmentation of data across diverse storage locations while it is stored, within an environment termed a data harbor, effectively mitigating the repercussions of data breaches and ransomware incidents. This system not only safeguards against data theft and extortion but also renders fragmented data virtually useless to cybercriminals. Additionally, it possesses the capability to autonomously recover from cyber attacks, ensuring that data availability remains uninterrupted. The solution adheres to various data privacy regulations, with geo-fragmented storage facilitating compliance with international laws and standards. Calamu Drive integrates effortlessly with current employee data and document workflows via Windows File Explorer or macOS Finder, making the protective measures invisible to users and allowing them to operate as if nothing has changed. Furthermore, Calamu Connectors offer extensive access to the data harbor, whether the data is secured in an Amazon S3 bucket, on local servers, or in database snapshots, thereby enhancing flexibility in data protection. This comprehensive approach ensures organizations can operate securely and efficiently in a rapidly evolving digital landscape.

The need to choose between the ease of a graphical user interface and the robustness of infrastructure as code is now a thing of the past. With Kubestack, you can effortlessly create your Kubernetes platform using an intuitive graphical user interface and subsequently export your tailored stack into Terraform code, ensuring dependable provisioning and ongoing operational sustainability. Platforms built with Kubestack Cloud are transitioned into a Terraform root module grounded in the Kubestack framework. All components of this framework are open-source, significantly reducing long-term maintenance burdens while facilitating continuous enhancements. You can implement a proven pull-request and peer-review workflow to streamline change management within your team. By minimizing the amount of custom infrastructure code required, you can effectively lessen the long-term maintenance workload, allowing your team to focus on innovation and growth. This approach ultimately leads to increased efficiency and collaboration among team members, fostering a more productive development environment.

CloudVision represents a sophisticated, multi-faceted network management system that adheres to cloud networking principles, focusing on telemetry, analytics, and automation. It is tailored for diverse environments such as data centers, wired and wireless campuses, multi-cloud infrastructures, and routing scenarios, offering a uniform operational framework that aids enterprises in streamlining network management by dismantling conventional silos. By abstracting the physical network into a comprehensive, network-wide viewpoint, CloudVision enhances the efficiency of various operational tasks and telemetry functions. The platform features turn-key automation capabilities through CloudVision Studios for both initial setup and ongoing management, including Zero Touch Provisioning (ZTP) as-a-Service, configuration oversight, and holistic change control processes, which encompass automated updates, network rollbacks, and snapshots. Additionally, it facilitates real-time state streaming for telemetry and analytics, presenting a contemporary alternative to outdated polling methods that operate on a per-device basis. This modernized approach not only improves operational efficiency but also empowers organizations to respond more dynamically to network conditions.

Experience fully managed Linkerd directly within your cluster. Operating a service mesh shouldn’t necessitate a dedicated engineering team. With Buoyant Cloud, Linkerd is expertly managed so you can focus on other priorities. Say goodbye to tedious tasks. Buoyant Cloud ensures that both your Linkerd control plane and data plane are consistently updated with the latest releases, while also managing installations, trust anchor rotations, and additional configurations. Streamline upgrades and installations with ease. Ensure that your data plane proxy versions are always aligned. Rotate TLS trust anchors effortlessly, without any hassle. Stay ahead of potential issues. Buoyant Cloud actively monitors the health of your Linkerd deployments and provides proactive notifications about possible problems before they become critical. Effortlessly track the health of your service mesh. Gain a comprehensive, cross-cluster perspective on Linkerd's performance. Stay informed about best practices for Linkerd through monitoring and reporting. Dismiss overly complex solutions that add unnecessary layers of difficulty. Linkerd operates seamlessly, and with the support of Buoyant Cloud, managing Linkerd has never been simpler or more efficient. Experience peace of mind knowing that your service mesh is in capable hands.

The product's documentation aims to utilize language that is free from bias. Within this context, bias-free language is characterized as terminology that avoids any form of discrimination related to age, disability, gender, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality. However, there may be instances in the documentation where exceptions occur, such as when language is embedded in the product's software user interfaces, derived from request for proposal (RFP) documents, or quoted from third-party products. For further insights, explore how Cisco is committed to implementing Inclusive Language practices. As digital transformation accelerates, organizations are increasingly embracing cloud-native architectures. Applications that utilize a microservices approach distribute software functions across several independently deployable services, allowing for more efficient maintenance, testing, and faster updates. This shift not only enhances operational agility but also supports the evolving needs of modern businesses.

Fermyon makes cloud application building much easier, simpler, and more cost-effective by providing a WebAssembly-based execution platform with an easy-to-use web interface. WebAssembly allows you to build and run microservices as well as web applications. Spin CLI makes it easy to get up and running in minutes. Spin makes it easy to create apps from functions and components. Bindle allows for powerful versioning and release management. The web dashboard allows you to manage auto-deployments and view logs. You can easily run your WebAssembly containers and services side-by-side. We are creating open-source, WebAssembly powered cloud tools with the goal of simplifying and unlocking new technologies. You can quickly create and run microservices and web apps with startup times of less than a second. You can also scale up and down in a matter of seconds and execute in a safe, sandboxed environment. WebAssembly is a faster and more efficient way to run your services in cloud.

OctoData is implemented at a more economical rate through Cloud hosting and provides tailored assistance that spans from identifying your requirements to utilizing the solution effectively. Built on cutting-edge open-source technologies, OctoData is flexible enough to adapt and embrace future opportunities. Its Supervisor feature provides a user-friendly management interface that enables the swift collection, storage, and utilization of an expanding array of data types. With OctoData, you can develop and scale your large-scale data recovery solutions within the same ecosystem, even in real-time scenarios. By leveraging your data effectively, you can generate detailed reports, discover new opportunities, enhance productivity, and improve profitability. Additionally, OctoData's adaptability ensures that as your business evolves, your data solutions can grow alongside it, making it a future-proof choice for enterprises.

CtrlStack oversees a diverse array of operational functions and change sources to mitigate risks, assess the impact of changes, and swiftly identify the root causes of production problems. In observability, relationship mapping involves uncovering significant connections and interactions among various data types—such as metrics, events, logs, and traces. We employ a native graph database to efficiently encapsulate this “data between the data” at both speed and scale. Achieve comprehensive visibility of all changes related to commits, configuration files, and feature flags with a single click. Gather all pertinent information regarding an incident at the precise moment it arises, as well as throughout the process of diagnosis and resolution, to prevent the overwriting of one another's changes. Gain valuable insights into what alterations were made, when they occurred, who initiated them, and the subsequent effects on operations. Foster collaboration among teams by leveraging shared data knowledge through a DevOps graph, enhancing overall operational efficiency and communication. This approach not only improves incident response times but also strengthens the team's ability to work together effectively.

By shifting testing to the left, issues can be identified sooner, making them cheaper and easier to resolve. This practice empowers developers to enhance their integration testing, which in turn reduces development cycles and boosts overall productivity. With more efficient and comprehensive integration feedback loops, products become significantly more reliable. Testcontainers Cloud simplifies the process for developers to execute dependable integration tests, utilizing real dependencies that are specified in code, seamlessly transitioning from personal laptops to team continuous integration (CI) systems. As an open-source framework, Testcontainers offers ephemeral, lightweight instances of databases, message brokers, web browsers, and virtually any application compatible with Docker containers. This eliminates the need for complicated mocks or environment setups, allowing developers to define their test dependencies in code; they can then execute their tests, automatically creating and subsequently removing the necessary containers. Ultimately, this approach fosters a more agile development environment, ensuring that teams can deliver high-quality software more efficiently.

Creating AI solutions necessitates a robust engineering strategy that emphasizes resilience, openness, and repeatability to attain the required quality and agility. Up until now, these initiatives have lacked a solid foundation to tackle these issues amidst a multitude of specialized tools and the rapidly evolving landscape of models and data. A collaborative development platform is essential for automating the creation and management of AI applications that cater to various user roles. By extracting highly detailed customer profiles from organizational data, businesses can forecast behaviors in real-time and on a large scale. AI-driven models can be generated to facilitate continuous learning and to meet specific business objectives. This approach also allows organizations to clarify and demonstrate their compliance with relevant laws and regulations. CognitiveScale's Cortex AI Platform effectively addresses enterprise AI needs through a range of modular offerings. Customers can utilize and integrate its functionalities as microservices within their broader AI strategies, enhancing flexibility and responsiveness to their unique challenges. This comprehensive framework supports the ongoing evolution of AI development, ensuring that organizations can adapt to future demands.

CloudKnit is a progressive delivery platform that is open-source and designed for the management of cloud environments. It features user-friendly dashboards that facilitate the visualization and monitoring of these environments. Users can define entire environments in a clear and straightforward YAML format, allowing for a declarative approach to configuration. By using this declarative format, organizations can efficiently provision their environments, identify and address any drift, and dismantle resources when they are no longer necessary. The platform includes a control plane that oversees the state of the environment, ensuring proper management of resource dependencies as well as drift detection and reconciliation. Furthermore, the Environment as Code (EaC) abstraction simplifies the utilization of cloud-native tools, making the entire process more streamlined. With CloudKnit, users benefit from a powerful tool that enhances the management and organization of their cloud environments.

Integrating observability with automated orchestration enables the development of self-managed and resilient applications on a large scale. Every moment, vast amounts of data pour in from observability and monitoring systems, collecting metrics, logs, and traces from all elements of intricate and changing applications. However, the challenge remains for humans to interpret and troubleshoot this information. They find themselves in a continuous loop of addressing alerts, pinpointing root issues, and deciding on effective remediation strategies. This traditional approach has not fundamentally evolved over the decades, remaining labor-intensive, reactive, and expensive. Causely transforms this scenario by eliminating the need for human intervention in troubleshooting, as it captures causality within software, effectively bridging the divide between observability and actionable insights. For the first time, the entire process of detecting, analyzing root causes, and resolving application defects is entirely automated. With Causely, issues are detected and addressed in real-time, ensuring that applications can scale while maintaining optimal performance. Ultimately, this innovative approach not only enhances efficiency but also redefines how software reliability is achieved in modern environments.

Plerion simplifies cloud-based security, protects the environment and offers complete transparency with a single platform. With a single view, you can get clarity on your infrastructure and work more efficiently together. Plerion is a platform that replaces them all. Plerion's Security Graph allows customers to prioritize the most important risks based on their business impact. This allows for a reduction in alert fatigue, and an acceleration of threat detection and response. Our platform reduces the MTTD (mean detection time) and MTTR(mean response time) by using contextualized, enriched data. This allows for better and faster decisions. Plerion manages and tracks your security position using a platform which can grow with you.

Calico Enterprise offers a comprehensive security platform designed for full-stack observability specifically tailored for containers and Kubernetes environments. As the sole active security solution in the industry that integrates this capability, Calico Enterprise leverages Kubernetes' declarative approach to define security and observability as code, ensuring that security policies are consistently enforced and compliance is maintained. This platform also enhances troubleshooting capabilities across various deployments, including multi-cluster, multi-cloud, and hybrid architectures. Furthermore, it facilitates the implementation of zero-trust workload access controls that regulate traffic to and from individual pods, bolstering the security of your Kubernetes cluster. Users can also create DNS policies that enforce precise access controls between workloads and the external services they require, such as Amazon RDS and ElastiCache, thereby enhancing the overall security posture of the environment. In addition, this proactive approach allows organizations to adapt quickly to changing security requirements while maintaining seamless connectivity.

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.