Google Kubernetes Engine (GKE) Integrations

Accelerate the development of your deep learning project on Google Cloud: Utilize Deep Learning Containers to swiftly create prototypes within a reliable and uniform environment for your AI applications, encompassing development, testing, and deployment phases. These Docker images are pre-optimized for performance, thoroughly tested for compatibility, and designed for immediate deployment using popular frameworks. By employing Deep Learning Containers, you ensure a cohesive environment throughout the various services offered by Google Cloud, facilitating effortless scaling in the cloud or transitioning from on-premises setups. You also enjoy the versatility of deploying your applications on platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, giving you multiple options to best suit your project's needs. This flexibility not only enhances efficiency but also enables you to adapt quickly to changing project requirements.

Prisma™ Cloud provides extensive security throughout the entire development lifecycle across any cloud platform, empowering you to confidently create cloud-native applications. As organizations transition to the cloud, the application development lifecycle undergoes significant transformations, with security emerging as a critical concern. Security and DevOps teams encounter an increasing array of elements to safeguard as cloud-native strategies become more prevalent. The dynamic nature of cloud environments pushes developers to innovate and deploy rapidly, yet security teams must ensure the protection and compliance of every stage in the lifecycle. Insights and testimonials from our pleased customers highlight Prisma Cloud’s exceptional cloud security features. This feedback underscores the importance of having robust security measures in place to support the ongoing evolution of application development in the cloud.

TENGU is a Data orchestration platform that serves as a central workspace for all data profiles to work more efficiently and enhance collaboration. Allowing you to get the most out of your data, faster. It allows complete control over your data environment in an innovative graph view for intuitive monitoring. Connecting all necessary tools in one workspace. It enables self-service, monitoring and automation, supporting all data roles and operations from integration to transformation.

Automated management of cloud security posture is now a reality. Tailored for the cloud environment, BMC Helix Cloud Security alleviates the difficulties associated with safeguarding and ensuring compliance for cloud assets and containers. It offers security scoring and remediation solutions for public cloud IaaS and PaaS platforms from leading providers such as AWS, Azure, and GCP. With automated remediation processes that require no coding skills, it simplifies security management. This solution also encompasses container configuration security for platforms like Docker, Kubernetes, OpenShift, and GKE. Additionally, it enhances automated ticketing through ITSM integration, making incident response seamless. Users can access ready-to-implement policies such as CIS, PCI DSS, and GDPR, while also having the flexibility to create custom policies as needed. Furthermore, it provides automated security management for cloud servers, including AWS EC2 and Microsoft Azure virtual machines. As your cloud infrastructure continues to change, you need a solution that boosts agility without sacrificing security or compliance, and BMC Helix Cloud Security meets that demand head-on. It delivers continuous automated security assessments and remediation for IaaS and PaaS offerings from AWS, Azure, and GCP, ensuring peace of mind in your cloud operations.

The security and risk management solution for Google Cloud enables you to gain insights into the number of projects you manage, oversee the resources in use, and control the addition or removal of service accounts. This platform helps you detect security misconfigurations and compliance issues within your Google Cloud infrastructure, providing actionable recommendations to address these concerns. It also allows you to identify potential threats targeting your resources through log analysis and utilizes Google's specialized threat intelligence, employing kernel-level instrumentation to pinpoint possible container compromises. In addition, you can monitor your assets in near real-time across various services such as App Engine, BigQuery, Cloud SQL, Cloud Storage, Compute Engine, Cloud Identity and Access Management, and Google Kubernetes Engine. By reviewing historical discovery scans, you can track new, altered, or deleted assets, ensuring a comprehensive understanding of the security posture of your Google Cloud environment. Furthermore, the platform helps detect prevalent web application vulnerabilities, including cross-site scripting and the use of outdated libraries, thereby enhancing your overall security strategy. This proactive approach not only safeguards your assets but also streamlines compliance efforts in an ever-evolving digital landscape.

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

Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.

Assessing the performance of production systems is widely recognized as a challenging task. Efforts to evaluate performance in testing environments often fail to capture the true strain present in a production setting. While micro-benchmarking certain components of your application can sometimes be done, it generally does not reflect the actual workload and behavior of a production system effectively. Continuous profiling of production environments serves as a valuable method for identifying how resources such as CPU and memory are utilized during the service's operation. However, this profiling process introduces its own overhead: to be a viable means of uncovering resource usage patterns, the additional burden must remain minimal. Cloud Profiler emerges as a solution, offering a statistical, low-overhead profiling tool that continuously collects data on CPU usage and memory allocations from your live applications. This tool effectively connects that data back to the specific source code that produced it, allowing for better insights into resource utilization. By utilizing such a profiler, developers can optimize their applications while maintaining system performance.

The NGINX Service Mesh, which is always available for free, transitions effortlessly from open source projects to a robust, secure, and scalable enterprise-grade solution. With NGINX Service Mesh, you can effectively manage your Kubernetes environment, utilizing a cohesive data plane for both ingress and egress, all through a singular configuration. The standout feature of the NGINX Service Mesh is its fully integrated, high-performance data plane, designed to harness the capabilities of NGINX Plus in managing highly available and scalable containerized ecosystems. This data plane delivers unmatched enterprise-level traffic management, performance, and scalability, outshining other sidecar solutions in the market. It incorporates essential features such as seamless load balancing, reverse proxying, traffic routing, identity management, and encryption, which are crucial for deploying production-grade service meshes. Additionally, when used in conjunction with the NGINX Plus-based version of the NGINX Ingress Controller, it creates a unified data plane that simplifies management through a single configuration, enhancing both efficiency and control. Ultimately, this combination empowers organizations to achieve higher performance and reliability in their service mesh deployments.

Modern cloud-native applications running on Kubernetes environments require assistance with scaling, securing, and monitoring. Gloo Mesh, utilizing the Istio service mesh, streamlines the management of service mesh for multi-cluster and multi-cloud environments. By incorporating Gloo Mesh into their platform, engineering teams can benefit from enhanced application agility, lower costs, and reduced risks. Gloo Mesh is a modular element of Gloo Platform. The service mesh allows for autonomous management of application-aware network tasks separate from the application, leading to improved observability, security, and dependability of distributed applications. Implementing a service mesh into your applications can simplify the application layer, provide greater insights into traffic, and enhance application security.

Traefik Mesh is a user-friendly and easily configurable service mesh that facilitates the visibility and management of traffic flows within any Kubernetes cluster. By enhancing monitoring, logging, and visibility while also implementing access controls, it enables administrators to swiftly and effectively bolster the security of their clusters. This capability allows for the monitoring and tracing of application communications in a Kubernetes environment, which in turn empowers administrators to optimize internal communications and enhance overall application performance. The streamlined learning curve, installation process, and configuration requirements significantly reduce the time needed for implementation, allowing for quicker realization of value from the effort invested. Furthermore, this means that administrators can dedicate more attention to their core business applications. Being an open-source solution, Traefik Mesh ensures that there is no vendor lock-in, as it is designed to be opt-in, promoting flexibility and adaptability in deployments. This combination of features makes Traefik Mesh an appealing choice for organizations looking to improve their Kubernetes environments.

Optimize and simplify the management of Kubernetes (north-south) network traffic to ensure reliable, consistent performance at scale, all while maintaining the speed of your applications. Employ advanced application-centric configurations by utilizing role-based access control (RBAC) alongside self-service options to establish security guardrails, allowing your teams to manage their applications with both security and agility. This approach fosters multi-tenancy and reusability while offering simpler configurations and additional benefits. With a native, type-safe, and indented configuration style, you can streamline functionalities such as circuit breaking, advanced routing, header manipulation, mTLS authentication, and WAF. Furthermore, if you're currently utilizing NGINX, the NGINX Ingress resources facilitate a seamless transition of your existing configurations from other environments, enhancing your overall operational efficiency. This not only simplifies your network management but also empowers your development teams to innovate faster.

Orchestra serves as a Comprehensive Control Platform for Data and AI Operations, aimed at empowering data teams to effortlessly create, deploy, and oversee workflows. This platform provides a declarative approach that merges coding with a graphical interface, enabling users to develop workflows at a tenfold speed while cutting maintenance efforts by half. Through its real-time metadata aggregation capabilities, Orchestra ensures complete data observability, facilitating proactive alerts and swift recovery from any pipeline issues. It smoothly integrates with a variety of tools such as dbt Core, dbt Cloud, Coalesce, Airbyte, Fivetran, Snowflake, BigQuery, Databricks, and others, ensuring it fits well within existing data infrastructures. With a modular design that accommodates AWS, Azure, and GCP, Orchestra proves to be a flexible option for businesses and growing organizations looking to optimize their data processes and foster confidence in their AI ventures. Additionally, its user-friendly interface and robust connectivity options make it an essential asset for organizations striving to harness the full potential of their data ecosystems.

Artifact Registry serves as Google Cloud's comprehensive and fully managed solution for storing packages and containers, focusing on efficient artifact storage and dependency oversight. It provides a central location for hosting various types of artifacts, including container images (Docker/OCI), Helm charts, and language-specific packages such as Java/Maven, Node.js/npm, and Python, ensuring quick, scalable, reliable, and secure operations, complemented by integrated vulnerability scanning and access control based on IAM. The platform integrates effortlessly with Google Cloud's CI/CD solutions, which include Cloud Build, Cloud Run, GKE, Compute Engine, and App Engine, while also enabling the creation of regional and virtual repositories fortified with finely-tuned security protocols through VPC Service Controls and encryption keys managed by customers. Developers gain from the standardized support of the Docker Registry API alongside extensive REST/RPC interfaces and options for transitioning from Container Registry. Furthermore, the platform is backed by continuously updated documentation that covers essential topics, including quickstart guides, repository management, access configuration, observability tools, and detailed instructional materials, ensuring users have the resources they need to maximize their experience. This robust support infrastructure not only aids in efficient artifact management but also empowers developers to streamline their workflows effectively.

Digital.ai Release, previously known as XebiaLabs XL Release, serves as a specialized tool for release management within Continuous Delivery (CD) workflows. This platform empowers teams throughout an organization to design and oversee releases, streamline IT tasks through automation, and enhance release durations by scrutinizing and refining their processes. By facilitating automation and orchestration, it provides comprehensive visibility into release pipelines, even on an enterprise scale. Users can efficiently manage complex release pipelines while planning, automating, and analyzing every aspect of the software delivery process. It allows for the control and enhancement of software delivery efforts, ensuring that users are always informed about the status of both automated and manual tasks within the release pipeline. The tool helps identify potential bottlenecks, minimize errors, and mitigate the risks associated with release failures. Additionally, it offers the capability to monitor the entire release process, providing up-to-date status information across various tools and systems, from code development to production deployment. Users can also personalize dashboards to emphasize the most crucial data for each specific release, enhancing the overall management experience. This level of customization ensures that teams can focus on what matters most, leading to more efficient and successful releases.

Comprehensive security throughout the entire lifecycle of containerized and serverless applications, spanning from the CI/CD pipeline to operational environments, is essential. Aqua can be deployed either on-premises or in the cloud, scaling to meet various needs. The goal is to proactively prevent security incidents and effectively address them when they occur. The Aqua Security Team Nautilus is dedicated to identifying emerging threats and attacks that focus on the cloud-native ecosystem. By investigating new cloud security challenges, we aim to develop innovative strategies and tools that empower organizations to thwart cloud-native attacks. Aqua safeguards applications from the development phase all the way to production, covering VMs, containers, and serverless workloads throughout the technology stack. With the integration of security automation, software can be released and updated at the rapid pace demanded by DevOps practices. Early detection of vulnerabilities and malware allows for swift remediation, ensuring that only secure artifacts advance through the CI/CD pipeline. Furthermore, protecting cloud-native applications involves reducing their potential attack surfaces and identifying vulnerabilities, embedded secrets, and other security concerns during the development process, ultimately fostering a more secure software deployment environment.

Identity and Data Protection for AWS and Azure, Google Cloud, and Kubernetes. Sonrai's cloud security platform offers a complete risk model that includes activity and movement across cloud accounts and cloud providers. Discover all data and identity relationships between administrators, roles and compute instances. Our critical resource monitor monitors your critical data stored in object stores (e.g. AWS S3, Azure Blob), and database services (e.g. CosmosDB, Dynamo DB, RDS). Privacy and compliance controls are maintained across multiple cloud providers and third-party data stores. All resolutions are coordinated with the relevant DevSecOps groups.

Tanzu Observability by Broadcom is an advanced observability solution designed to provide businesses with deep visibility into their cloud-native applications and infrastructure. The platform aggregates metrics, traces, and logs to deliver real-time insights into application performance and operational health. By leveraging AI and machine learning, Tanzu Observability automatically detects anomalies, accelerates root cause analysis, and offers predictive analytics to optimize system performance. With its scalable architecture, the platform supports large deployments, enabling businesses to manage and improve the performance of their digital ecosystems efficiently.

Reliable and predictable performance is a hallmark of Filestore, which ensures a uniform perspective of your filesystem data along with consistent performance over time. Capable of delivering up to 480K IOPS and 16 GB/s, you can have confidence that your infrastructure will support even the most demanding workloads. Additionally, with its High Scale feature, Filestore adapts to the substantial computational requirements of your high-performance business, allowing you to easily adjust your instances through the Google Cloud Console GUI, gcloud command line, or API controls as your needs evolve. Provisioning is straightforward, and mounting is hassle-free, as Filestore operates as a fully managed, NoOps service. It allows for effortless mounting of file shares on Compute Engine VMs and is seamlessly integrated with Google Kubernetes Engine, enabling containers to access shared data effortlessly. Furthermore, you only pay for the resources you actually use, as Filestore automatically adjusts capacity in response to your applications' demands, ensuring efficient resource utilization. This combination of features makes Filestore an optimal choice for organizations looking to streamline their data management processes.

Enhance the security of your container environment on GCP, GKE, or Anthos, as containerization empowers development teams to accelerate their workflows, deploy applications effectively, and scale operations to unprecedented levels. With the growing number of containerized workloads in enterprises, it becomes essential to embed security measures at every phase of the build-and-deploy lifecycle. Infrastructure security entails that your container management platform is equipped with the necessary security functionalities. Kubernetes offers robust security features to safeguard your identities, secrets, and network communications, while Google Kubernetes Engine leverages native GCP capabilities—such as Cloud IAM, Cloud Audit Logging, and Virtual Private Clouds—as well as GKE-specific tools like application layer secrets encryption and workload identity to provide top-notch Google security for your workloads. Furthermore, ensuring the integrity of the software supply chain is critical, as it guarantees that container images are secure for deployment. This proactive approach ensures that your container images remain free of vulnerabilities and that the images you create are not tampered with, thereby maintaining the overall security of your applications. By investing in these security measures, organizations can confidently adopt containerization without compromising on safety.

Enhance performance by utilizing a scalable, secure, and highly available in-memory service tailored for Redis and Memcached. Memorystore simplifies complex procedures associated with open source Redis and Memcached, such as ensuring high availability, managing failover, conducting patching, and monitoring, allowing developers to focus more on coding. You can begin with the most basic tier and smallest configuration, gradually expanding your instance with minimal disruption. Memorystore for Memcached has the capacity to manage clusters up to 5 TB, delivering millions of queries per second at remarkably low latency. In contrast, Memorystore for Redis instances are designed to be replicated across two zones, offering a service level agreement of 99.9% availability. Continuous monitoring and automatic failover mechanisms ensure that applications face minimal interruptions. You can select from two of the most widely used open source caching solutions to develop your applications. Memorystore provides full protocol compatibility for both Redis and Memcached, enabling you to choose the caching engine that best aligns with your budget and availability needs while maximizing your application's performance. By leveraging these features, developers can significantly improve their operational efficiency.

Ozone platform allows enterprises to quickly and securely ship modern applications. Ozone eliminates the need to manage too many DevOps tools, making it easy to deploy applications on Kubernetes. Integrate all your existing DevOps tools to automate your application delivery process. Automated pipeline workflows make deployments faster and allow for on-demand infrastructure management. Enforce compliance policies and governance for app deployments at scale to prevent business losses. One pane of glass, where engineering, DevOps, and security teams can collaborate on app releases in realtime.

Ternary stands out as the first native FinOps tool designed specifically for optimizing cloud costs within Google Cloud. It empowers users to make informed financial choices, ensuring a culture of accountability, collaboration, and trust between finance and engineering departments. FinOps serves as a framework for overseeing the fluctuating expenses associated with cloud services, incorporating a blend of systems, best practices, and cultural shifts that maximize the value derived from every dollar allocated to the cloud. Ternary is equipped to assist organizations at any phase of their FinOps journey, developing tools that bridge the gap between finance and engineering through features rooted in FinOps principles. This innovative platform provides essential visibility and context, fostering collaboration between teams, while its workflows are designed to promote accountability. By enabling organizations to easily monitor, prioritize, and track cost optimizations to completion, Ternary enhances overall financial management efficiency across the board. As businesses increasingly rely on cloud solutions, Ternary’s role in facilitating effective financial practices becomes ever more critical.

Select the tools that best suit your needs, and we will handle everything else. Create an ideal CI/CD stack tailored to your organization's objectives without the worry of vendor lock-in. By eliminating the need for manual scripts and complex toolchain automation, your engineers can concentrate on your main business activities. Our pipeline workflows utilize a declarative approach, allowing you to prioritize essential tasks over the methods used to achieve them, covering aspects such as software builds, security assessments, unit testing, and deployment processes. With the help of Blueprints, you can troubleshoot any issues directly within Opsera, thanks to a detailed console output for each step of your pipeline's execution. Gain a holistic view of your CI/CD journey with extensive software delivery analytics, tracking metrics like Lead Time, Change Failure Rate, Deployment Frequency, and Time to Restore. Additionally, benefit from contextualized logs that facilitate quicker resolutions while enhancing auditing and compliance measures, ensuring that your operations remain efficient and transparent. This streamlined approach not only promotes better productivity but also empowers teams to innovate more freely.

CloudNatix has the capability to connect seamlessly to any infrastructure, whether it be in the cloud, a data center, or at the edge, and supports a variety of platforms including virtual machines, Kubernetes, and managed Kubernetes clusters. By consolidating your distributed resource pools into a cohesive planet-scale cluster, this service is delivered through a user-friendly SaaS model. Users benefit from a global dashboard that offers a unified perspective on costs and operational insights across various cloud and Kubernetes environments, such as AWS, EKS, Azure, AKS, Google Cloud, GKE, and more. This comprehensive view enables you to explore the intricacies of each resource, including specific instances and namespaces, across diverse regions, availability zones, and hypervisors. Additionally, CloudNatix facilitates a unified cost-attribution framework that spans multiple public, private, and hybrid clouds, as well as various Kubernetes clusters and namespaces. Furthermore, it automates the process of attributing costs to specific business units as you see fit, streamlining financial management within your organization. This level of integration and oversight empowers businesses to optimize resource utilization and make informed decisions regarding their cloud strategies.

Manage and connect applications seamlessly across various clusters, cloud environments, and data centers. Facilitate application connectivity across diverse infrastructures using a unified management platform. Incorporate traditional workloads into your cloud-native application framework effectively. Establish tenants within your organization to implement detailed access controls and editing permissions for teams sharing the infrastructure. Keep track of the change history for services and shared resources from the very beginning. Streamline traffic management across failure domains, ensuring your customers remain unaware of any disruptions. TSB operates at the application edge, functioning at cluster ingress and between workloads in both Kubernetes and traditional computing environments. Edge and ingress gateways efficiently route and balance application traffic across multiple clusters and clouds, while the mesh framework manages service connectivity. A centralized management interface oversees connectivity, security, and visibility for your entire application network, ensuring comprehensive oversight and control. This robust system not only simplifies operations but also enhances overall application performance and reliability.

Opal is a cutting-edge security platform designed to help organizations implement least privilege principles while introducing innovative methods for teams to enhance their productivity. We advocate for access that is decentralized, self-service, and seamlessly integrated with existing technologies utilized by your team. By eliminating bottlenecks, we empower teams to delegate access requests to the individuals who possess the most relevant context, resulting in quicker and more informed decisions. With intelligent automation, Opal takes care of the entire access process—granting permissions when they're crucial, sending out automated reminders, and revoking access when it’s no longer necessary. Transparency is key; it’s essential to have clarity regarding who approves access, who holds permissions, the status of requests, and other vital details to avoid the confusion often caused by miscommunication. Many organizations often provide excessive access with a coarse approach that lacks precision and typically lasts indefinitely. Additionally, the majority of companies rely on cumbersome and inconsistent methods to manage just-in-time access, which can hinder operational efficiency. By streamlining this process, Opal ensures organizations can maintain security while empowering their teams to work effectively.

Outline your cloud-native infrastructure and manage it as a systematic approach. Create a configuration for your service mesh alongside the deployment of workloads. Implement smart canary strategies and performance profiles while managing the service mesh pattern. Evaluate your service mesh setup based on deployment and operational best practices utilizing Meshery's configuration validator. Check the compliance of your service mesh with the Service Mesh Interface (SMI) standards. Enable dynamic loading and management of custom WebAssembly filters within Envoy-based service meshes. Service mesh adapters are responsible for provisioning, configuration, and management of their associated service meshes. By adhering to these guidelines, you can ensure a robust and efficient service mesh architecture.

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.

Empower both developers and operations teams with the self-service capabilities and automation they crave, while maintaining an optimal balance of standardization and governance that the organization necessitates. Manage and define configurations centrally using Git for clusters that include security policies and software enhancements like service mesh, ingress controllers, monitoring, logging, and backup and recovery solutions. The management of blueprints and the lifecycle of add-ons can be seamlessly implemented for both new and existing clusters from a central point. Additionally, blueprints can be shared among various teams, ensuring centralized oversight of the add-ons utilized throughout the organization. In dynamic environments that demand rapid development cycles, users can transition from a Git push to an updated application on managed clusters in mere seconds, achieving this over 100 times daily. This approach is especially advantageous for development settings where changes are made with high frequency, thus fostering a more agile workflow. By streamlining these processes, organizations can significantly enhance their operational efficiency and responsiveness.

Achieve seamless and secure access to your cloud infrastructure without the need for passwords. Experience passwordless authentication for major cloud platforms and a multitude of cloud resources, as we integrate smoothly with AWS, GCP, Azure, and various other cloud-native tools. Prevent overprivileged access by implementing just-in-time access specifically for developers. DevOps professionals can easily request access to cloud resources with a 'just enough privileges' approach, ensuring they have time-limited permissions. This setup helps to eliminate the productivity issues that arise from relying on a centralized administrator. You can configure approval policies tailored to different criteria, and you'll have the ability to view a comprehensive catalog of both granted and unaccessed resources. Mitigate the risks of credential sprawl and the anxiety surrounding credential theft. Developers are empowered to gain passwordless access to cloud resources using advanced Trusted Platform Module (TPM) technology. Additionally, you can uncover potential vulnerabilities today with our complimentary assessment tool, gaining insights into how Procyon can effectively address these issues in a matter of hours. By leveraging TPM, you can ensure strong identification of both users and their devices, thus enhancing overall security. This innovative approach not only streamlines access but also fortifies your cloud security posture significantly.

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.

Entitle integrates a security-centric strategy for provisioning and governance while also prioritizing business facilitation across all departments, including R&D, sales, HR, and finance. Accelerate the provisioning process to enable security policies that adapt automatically to the evolving infrastructure and the varying needs of employees. Assign permissions to designated resources such as Google Drive directories, database tables, Git repositories, and more to maintain control. Protect sensitive resources and roles by allowing access only when necessary and revoking it when it is no longer needed. Empower colleagues, managers, and resource owners to authorize access requests, ensuring that the permissions granted are reliable. With automated access requests and a zero-touch provisioning approach, DevOps, IT, and other teams can significantly enhance efficiency and resource management. Users have the convenience of requesting access through platforms like Slack, Teams, Jira, or email, facilitating a smooth approval experience. Additionally, quickly grant bulk permissions to streamline the onboarding and offboarding processes, effectively adapting to the dynamics of the organization. This comprehensive approach not only safeguards data but also fosters a collaborative environment where teams can thrive.

ModelOp stands at the forefront of AI governance solutions, empowering businesses to protect their AI projects, including generative AI and Large Language Models (LLMs), while promoting innovation. As corporate leaders push for swift integration of generative AI, they encounter various challenges such as financial implications, regulatory compliance, security concerns, privacy issues, ethical dilemmas, and potential brand damage. With governments at global, federal, state, and local levels rapidly establishing AI regulations and oversight, organizations must act promptly to align with these emerging guidelines aimed at mitigating AI-related risks. Engaging with AI Governance specialists can keep you updated on market dynamics, regulatory changes, news, research, and valuable perspectives that facilitate a careful navigation of the benefits and hazards of enterprise AI. ModelOp Center not only ensures organizational safety but also instills confidence among all stakeholders involved. By enhancing the processes of reporting, monitoring, and compliance across the enterprise, businesses can foster a culture of responsible AI usage. In a landscape that evolves quickly, staying informed and compliant is essential for sustainable success.

Utilize the Apono cloud-native access governance platform to enhance both the speed and security of your operations through self-service, secure, and scalable access designed for contemporary enterprises in the cloud. Gain insights into who has access to specific resources with contextual awareness. Assess and identify access risks by utilizing enriched identity data and cloud resource information from your environment. Implement access guardrails effectively at scale. Apono intelligently proposes dynamic policies tailored to your organizational requirements, simplifying the cloud access lifecycle and strengthening control over cloud-privileged access. By leveraging Apono’s AI capabilities, you can enhance your environmental access controls by identifying high-risk, unused, over-provisioned, and shadow access. Furthermore, eliminate unnecessary standing access to thwart potential lateral movements within your cloud infrastructure. Organizations can also establish robust authentication, authorization, and audit measures for these critical accounts, significantly mitigating the risk of insider threats, data breaches, and unauthorized access while fostering a more secure cloud environment for all users. This proactive approach to access governance not only streamlines operations but also builds trust among stakeholders by ensuring compliance and security.

Actian Ingres is a highly dependable SQL-standard transactional database known for its exceptional reliability and performance. Now, it has evolved into a hybrid database that seamlessly integrates transactional and analytical processing, boasting the remarkable X100 analytics engine. By supporting both row-based and columnar storage formats, Ingres enables organizations to conduct transaction processing and operational analytics within a single platform efficiently. This solution is recognized as the most reliable transactional database in the industry, offering a low total cost of ownership alongside round-the-clock global support and outstanding customer satisfaction. With a solid history of success, it underpins thousands of enterprises that manage billions of transactions across years of updates and migrations, ensuring that businesses can rely on it for their critical operations. Its continuous innovation and commitment to excellence solidify its position as a leader in the database market.

Google Cloud Deploy is a comprehensive continuous delivery service that streamlines the deployment of applications to various platforms such as Google Kubernetes Engine (GKE), Cloud Run, and Anthos. Users can easily create delivery pipelines and oversee the flow of releases through different environments, including testing, staging, and production. The service provides convenient one-click promotion and rollback options for releases, which can be accessed through the web console, command-line interface, or API. As a fully managed service, it eliminates the need for users to set up any infrastructure and dynamically scales to enhance both cost-efficiency and performance. Moreover, it integrates smoothly with Google Cloud's Identity and Access Management (IAM), Cloud Logging, and Cloud Audit Logs, creating a cohesive platform for monitoring and managing release candidates throughout an organization. It also allows for seamless connections with widely-used DevOps tools, such as continuous integration systems and ticketing platforms, enhancing collaboration and efficiency within development teams. Overall, Google Cloud Deploy is designed to facilitate a more effective and agile deployment process, making it an invaluable resource for teams looking to optimize their application delivery workflows.

Nutanix Enterprise AI makes it simple to deploy, operate, and develop enterprise AI applications through secure AI endpoints that utilize large language models and generative AI APIs. By streamlining the process of integrating GenAI, Nutanix enables organizations to unlock extraordinary productivity boosts, enhance revenue streams, and realize the full potential of generative AI. With user-friendly workflows, you can effectively monitor and manage AI endpoints, allowing you to tap into your organization's AI capabilities. The platform's point-and-click interface facilitates the effortless deployment of AI models and secure APIs, giving you the flexibility to select from Hugging Face, NVIDIA NIM, or your customized private models. You have the option to run enterprise AI securely, whether on-premises or in public cloud environments, all while utilizing your existing AI tools. The system also allows for straightforward management of access to your language models through role-based access controls and secure API tokens designed for developers and GenAI application owners. Additionally, with just a single click, you can generate URL-ready JSON code, making API testing quick and efficient. This comprehensive approach ensures that enterprises can fully leverage their AI investments and adapt to evolving technological landscapes seamlessly.

Google Cloud's Eventarc is a comprehensive, managed solution that empowers developers to establish event-driven architectures by channeling events from multiple sources to designated endpoints. It captures events generated within a system and forwards them to chosen destinations, promoting the development of loosely connected services that respond aptly to changes in state. Supporting events from a range of Google Cloud services, bespoke applications, and external SaaS providers, Eventarc offers significant versatility in designing event-driven applications. Developers have the capability to set up triggers that direct events to various endpoints, such as Cloud Run services, which enhances the responsiveness and scalability of application structures. Furthermore, Eventarc guarantees secure event transmission by incorporating Identity and Access Management (IAM), which facilitates meticulous access control over the processes of event ingestion and handling. This robust security feature ensures that only authorized users can manage events, thereby maintaining the integrity and confidentiality of the data involved.

Spinnaker is an open-source platform designed for multi-cloud continuous delivery, enabling rapid and confident software deployment. Initially developed by Netflix, it has proven its reliability in production environments across numerous teams and millions of deployments. The platform boasts a robust pipeline management system along with seamless integrations with major cloud service providers. Users can deploy applications across a variety of cloud infrastructures such as AWS EC2, Kubernetes, Google Compute Engine, Google Kubernetes Engine, Google App Engine, Microsoft Azure, Openstack, Cloud Foundry, and Oracle Cloud Infrastructure, with support for DC/OS on the horizon. It allows for the creation of deployment pipelines that can conduct integration and system testing, manage server groups dynamically, and provide monitoring for rollout processes. Pipelines can be triggered through various events, including git actions, Jenkins, Travis CI, Docker, CRON jobs, or even other Spinnaker pipelines. Furthermore, Spinnaker enables the creation and deployment of immutable images, which can lead to quicker rollouts and simpler rollbacks, while also addressing issues related to configuration drift that are often difficult to troubleshoot. Overall, Spinnaker empowers teams to streamline their software delivery processes and embrace a more agile and efficient deployment strategy.

All public and private environments can be managed from one platform with a single CI/CD plug-in that connects to ALL automation toolchains. This plugin supports Jenkins, Kubernetes and Terraform as well as Cloud Formation, Azure ARm, Cloud Formation, Cloud Formation, and many other automation toolchains. No installation, no downloading... and free on us for the first thirty days. Integration with infrastructure orchestration domains such as AWS Cloud formation and Azure ARM, Ansible, Terraform, and Terraform. Service Composition Domain-Specific Language - This simplifies the relationship between services and handles cascading workflows. Shared resources, distributed life-cycle management, and more. Orchestration of cloud native Kubernetes service across multiple clusters using OpenShift and KubeSpray. A blueprint is available to automate the configuration and setup of clusters. Integration with Jenkins and other CI/CD platforms. This integration provides a 'one stop-shop' for all orchestration domains that can be integrated to your CI/CD pipeline.

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.

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.

Utilize playbooks to achieve rapid value realization and facilitate seamless scaling as your organization expands. Tackle typical everyday issues such as phishing and ransomware by implementing ready-to-use use cases, which include playbooks, simulated alerts, and instructional tutorials. Develop playbooks that integrate the various tools essential to your operations through an intuitive drag-and-drop interface. Furthermore, streamline repetitive processes to enhance response times, allowing team members to focus on more strategic tasks. Ensure effective lifecycle management of your playbooks by maintaining, optimizing, troubleshooting, and refining them through features like run analytics, reusable components, version tracking, and rollback options. Incorporate threat intelligence throughout each phase while visualizing crucial contextual information for each threat, detailing who took action, when it occurred, and how all the involved entities relate to an event, product, or source. Innovative technology automatically consolidates contextually linked alerts into a unified threat-centric case, empowering a single analyst to conduct thorough investigations and effectively respond to threats. Additionally, this approach fosters continuous improvement of security protocols, ensuring they remain robust in the face of evolving challenges.

Levo.ai provides enterprises with unparalleled visibility into their APIs, while discovering and documenting all internal, external, and partner/third party APIs. Enterprises can see the risk posed by their apps, and can prioritize it based upon sensitive data flows and AuthN/AuthZ usage. Levo.ai continuously tests all apps and APIs for vulnerabilities as early as possible in the SDLC.

Clutch is tackling the increasingly vital issue of securing non-human identities in today’s enterprises. As digital frameworks grow and evolve, the oversight and safeguarding of non-human identities—including API keys, secrets, tokens, and service accounts—has become a crucial yet frequently overlooked element of cybersecurity. Acknowledging this oversight, Clutch is creating a specialized platform aimed at the thorough protection and management of these identities. Our innovative solution is intended to strengthen the digital infrastructure of organizations, promoting a secure, resilient, and reliable environment for their operations. The proliferation of non-human identities is staggering, outpacing human ones at a ratio of 45 to 1, and these identities hold significant privileges and extensive access that are indispensable for vital automated processes. Moreover, they often lack essential security measures like multi-factor authentication and conditional access policies, which makes their protection even more crucial. Addressing these vulnerabilities is key to ensuring the integrity of automated systems within enterprises.

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.

Only StackRox offers an all-encompassing view of your cloud-native environment, covering everything from images and container registries to Kubernetes deployment settings and container runtime activities. With its robust integration into Kubernetes, StackRox provides insights specifically tailored to deployments, equipping security and DevOps teams with a thorough understanding of their cloud-native systems, which includes images, containers, pods, namespaces, clusters, and their respective configurations. You gain quick insights into potential risks within your environment, your compliance standing, and any suspicious traffic that may be occurring. Each overview allows you to delve deeper into specifics. Furthermore, StackRox simplifies the process of identifying and scrutinizing container images in your environment, thanks to its native integrations and support for nearly all types of image registries, making it a vital tool for maintaining security and efficiency.