Business Software for Amazon EKS

CyberArk Secure Cloud Access offers a comprehensive solution to safeguard identities and access within multi-cloud environments such as AWS, Azure, and Google Cloud. It enables security teams to enforce granular, just-in-time access controls that eliminate standing privileges and reduce the risk of unauthorized access. The platform features automated approval workflows integrated with existing service desk and ChatOps tools to streamline access management. With a native user experience and centralized policy control, CyberArk Secure Cloud Access empowers cloud users to work efficiently while ensuring robust security and compliance.

MatosSphere offers a comprehensive solution for ensuring compliance in your cloud infrastructure. Our platform equips you with essential tools to safeguard your cloud environment while meeting various compliance standards. Featuring self-healing, self-secure, and intelligent remediation capabilities, MatosSphere stands out as the all-in-one cloud compliance and security solution you need to protect your infrastructure effectively. Reach out to us today to discover more about our offerings in cloud security and compliance. As the adoption of cloud services rises, governance around cloud security and compliance can become increasingly challenging for many businesses. With a growing number of companies transitioning their workloads to public cloud environments, managing and maintaining secure, compliant, and scalable infrastructures can become a daunting task. The rapid evolution of cloud resource footprints can complicate the establishment of a robust business continuity plan, necessitating innovative solutions to navigate these challenges.

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.

Currently, startups focus on intuition and gut feelings when making decisions rather than relying on data. This can lead to suboptimal decision-making and wasted resources. Because AI applications are COMPLEX, EXPENSIVE & TIME-CONSUMING - demanding army of data engineers & data scientists with domain knowledge… this is scary because they are just a few in numbers! Startups tend not to prioritize their data & analytics. This later becomes a challenging issue in cultivating Data- culture. The no-Code architecture of AI Surge helps startups to become data-driven from day one!

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.

Amazon Corretto is a free, multiplatform, production-ready distribution of the Open Java Development Kit (OpenJDK). It offers long-term support that encompasses ongoing performance improvements and essential security updates. Widely utilized within Amazon’s own production environment, Corretto operates seamlessly on a multitude of services and is certified for compatibility with the Java SE standard. Users can develop and deploy Java applications across various operating systems, such as Linux, Windows, and macOS. With Amazon Corretto, the long-term support is provided at no cost, allowing users to upgrade versions at their convenience. This commitment from Amazon highlights their confidence in Corretto’s reliability and performance. Moreover, Corretto acts as a drop-in substitute for several other Java SE distributions. To ensure users receive the best experience, Amazon issues quarterly updates that bring necessary enhancements and security improvements. This dedication to maintaining and improving Corretto guarantees its effectiveness for developers and enterprises alike.

Amazon EC2 Inf1 instances are specifically designed to provide efficient, high-performance machine learning inference at a competitive cost. They offer an impressive throughput that is up to 2.3 times greater and a cost that is up to 70% lower per inference compared to other EC2 offerings. Equipped with up to 16 AWS Inferentia chips—custom ML inference accelerators developed by AWS—these instances also incorporate 2nd generation Intel Xeon Scalable processors and boast networking bandwidth of up to 100 Gbps, making them suitable for large-scale machine learning applications. Inf1 instances are particularly well-suited for a variety of applications, including search engines, recommendation systems, computer vision, speech recognition, natural language processing, personalization, and fraud detection. Developers have the advantage of deploying their ML models on Inf1 instances through the AWS Neuron SDK, which is compatible with widely-used ML frameworks such as TensorFlow, PyTorch, and Apache MXNet, enabling a smooth transition with minimal adjustments to existing code. This makes Inf1 instances not only powerful but also user-friendly for developers looking to optimize their machine learning workloads. The combination of advanced hardware and software support makes them a compelling choice for enterprises aiming to enhance their AI capabilities.

The Amazon EC2 G5 instances represent the newest generation of NVIDIA GPU-powered instances, designed to cater to a variety of graphics-heavy and machine learning applications. They offer performance improvements of up to three times for graphics-intensive tasks and machine learning inference, while achieving a remarkable 3.3 times increase in performance for machine learning training when compared to the previous G4dn instances. Users can leverage G5 instances for demanding applications such as remote workstations, video rendering, and gaming, enabling them to create high-quality graphics in real time. Additionally, these instances provide machine learning professionals with an efficient and high-performing infrastructure to develop and implement larger, more advanced models in areas like natural language processing, computer vision, and recommendation systems. Notably, G5 instances provide up to three times the graphics performance and a 40% improvement in price-performance ratio relative to G4dn instances. Furthermore, they feature a greater number of ray tracing cores than any other GPU-equipped EC2 instance, making them an optimal choice for developers seeking to push the boundaries of graphical fidelity. With their cutting-edge capabilities, G5 instances are poised to redefine expectations in both gaming and machine learning sectors.

Amazon EC2 P4d instances are designed for optimal performance in machine learning training and high-performance computing (HPC) applications within the cloud environment. Equipped with NVIDIA A100 Tensor Core GPUs, these instances provide exceptional throughput and low-latency networking capabilities, boasting 400 Gbps instance networking. P4d instances are remarkably cost-effective, offering up to a 60% reduction in expenses for training machine learning models, while also delivering an impressive 2.5 times better performance for deep learning tasks compared to the older P3 and P3dn models. They are deployed within expansive clusters known as Amazon EC2 UltraClusters, which allow for the seamless integration of high-performance computing, networking, and storage resources. This flexibility enables users to scale their operations from a handful to thousands of NVIDIA A100 GPUs depending on their specific project requirements. Researchers, data scientists, and developers can leverage P4d instances to train machine learning models for diverse applications, including natural language processing, object detection and classification, and recommendation systems, in addition to executing HPC tasks such as pharmaceutical discovery and other complex computations. These capabilities collectively empower teams to innovate and accelerate their projects with greater efficiency and effectiveness.

Amazon FSx for Lustre is a fully managed service designed to deliver high-performance and scalable storage solutions tailored for compute-heavy tasks. Based on the open-source Lustre file system, it provides remarkably low latencies, exceptional throughput that can reach hundreds of gigabytes per second, and millions of input/output operations per second, making it particularly suited for use cases such as machine learning, high-performance computing, video processing, and financial analysis. This service conveniently integrates with Amazon S3, allowing users to connect their file systems directly to S3 buckets. Such integration facilitates seamless access and manipulation of S3 data through a high-performance file system, with the added capability to import and export data between FSx for Lustre and S3 efficiently. FSx for Lustre accommodates various deployment needs, offering options such as scratch file systems for temporary storage solutions and persistent file systems for long-term data retention. Additionally, it provides both SSD and HDD storage types, enabling users to tailor their storage choices to optimize performance and cost based on their specific workload demands. This flexibility makes it an attractive choice for a wide range of industries that require robust storage solutions.

Amazon S3 Express One Zone is designed as a high-performance storage class that operates within a single Availability Zone, ensuring reliable access to frequently used data and meeting the demands of latency-sensitive applications with single-digit millisecond response times. It boasts data retrieval speeds that can be up to 10 times quicker, alongside request costs that can be reduced by as much as 50% compared to the S3 Standard class. Users have the flexibility to choose a particular AWS Availability Zone in an AWS Region for their data, which enables the co-location of storage and computing resources, ultimately enhancing performance and reducing compute expenses while expediting workloads. The data is managed within a specialized bucket type known as an S3 directory bucket, which can handle hundreds of thousands of requests every second efficiently. Furthermore, S3 Express One Zone can seamlessly integrate with services like Amazon SageMaker Model Training, Amazon Athena, Amazon EMR, and AWS Glue Data Catalog, thereby speeding up both machine learning and analytical tasks. This combination of features makes S3 Express One Zone an attractive option for businesses looking to optimize their data management and processing capabilities.

Rapidly develop standard application architectures using infrastructure-as-code (IaC) templates that are scalable, secure, and ready for production. With a single command, you can automate the deployment process, seamlessly configuring the delivery pipeline from your code repository to the environment of your application. Utilize comprehensive workflows to build, release, and manage all of your microservices through one unified tool. AWS Copilot serves as a command line interface designed to facilitate the quick launch and management of containerized applications within the AWS ecosystem. It streamlines the execution of applications on services like Amazon Elastic Container Service (ECS), AWS Fargate, and AWS App Runner. By automatically handling infrastructure provisioning, resource scaling, and cost optimization, it allows you to concentrate on application development rather than the intricacies of cluster management. With just one command, you can create, release, and operate production-ready containerized applications and services on ECS and Fargate, enhancing your efficiency and productivity in the cloud. This integration empowers developers to streamline their workflows and achieve faster time-to-market for their applications.

AWS App2Container (A2C) serves as a command line utility designed to facilitate the migration and modernization of Java and .NET web applications into containerized formats. This tool systematically evaluates and catalogs applications that are hosted on bare metal servers, virtual machines, Amazon Elastic Compute Cloud (EC2) instances, or within cloud environments. By streamlining the development and operational skill sets, organizations can significantly reduce both infrastructure and training expenses. The modernization process is accelerated through the tool's capability to automatically analyze applications and generate container images without requiring code modifications. It enables the containerization of applications that reside in on-premises data centers, thereby enhancing deployment consistency and operational standards for legacy systems. Additionally, users can leverage AWS CloudFormation templates to set up the necessary computing, networking, and security frameworks. Moreover, A2C supports the utilization of pre-established continuous integration and delivery (CI/CD) pipelines for AWS DevOps services, further simplifying the deployment process and ensuring a more efficient workflow. Ultimately, AWS A2C empowers businesses to transition smoothly into the cloud, fostering innovation and agility in their application management.

AWS Marketplace serves as a carefully organized digital platform that allows users to explore, buy, implement, and oversee third-party software, data products, AI agents, and services seamlessly within the AWS environment. This marketplace offers a vast array of options spanning various categories, including security, machine learning, business applications, and DevOps tools. By featuring adaptable pricing structures like pay-as-you-go, annual subscriptions, and free trials, AWS Marketplace makes it easier for customers to manage procurement and billing by consolidating expenses into a single AWS invoice. Additionally, it facilitates quick deployment of pre-configured software that can be easily launched on AWS infrastructure. This efficient model not only empowers businesses to spur innovation and reduce time-to-market but also enhances their ability to control software utilization and costs effectively. Ultimately, AWS Marketplace stands as an essential tool for organizations looking to optimize their software management and procurement processes.

Doctor Droid is an innovative AI-powered platform aimed at transforming how engineering teams monitor and resolve issues. It streamlines intricate investigations by adhering to established procedures, analyzing data from various integrations, pinpointing root causes, and implementing standardized runbooks for automated recovery. By actively monitoring alerts, Doctor Droid equips teams with pertinent data and insights, thereby cutting down on-call time by as much as 80% and enabling quick responses from engineers. Additionally, it enhances the onboarding experience for new engineers by automating document searches, familiarizing them with new tools, and helping them understand data, which allows them to take on primary on-call responsibilities right from the start. Furthermore, Doctor Droid is capable of conducting spontaneous investigations, such as scrutinizing Kubernetes clusters or reviewing recent deployments, while also adapting to create new strategies based on user recommendations and existing documentation. It boasts seamless integration with over 40 different tools throughout the technology stack, which significantly enhances its functionality and versatility. As a result, engineering teams can operate more efficiently and effectively in a rapidly evolving environment.

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.

AWS Fargate serves as a serverless compute engine tailored for containerization, compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). By utilizing Fargate, developers can concentrate on crafting their applications without the hassle of server management. This service eliminates the necessity to provision and oversee servers, allowing users to define and pay for resources specific to their applications while enhancing security through built-in application isolation. Fargate intelligently allocates the appropriate amount of compute resources, removing the burden of selecting instances and managing cluster scalability. Users are billed solely for the resources their containers utilize, thus avoiding costs associated with over-provisioning or extra servers. Each task or pod runs in its own kernel, ensuring that they have dedicated isolated computing environments. This architecture not only fosters workload separation but also reinforces overall security, greatly benefiting application integrity. By leveraging Fargate, developers can achieve operational efficiency alongside robust security measures, leading to a more streamlined development process.

With more than ten years of experience in developing media technology, we have created a range of solutions aimed at elevating your media and content creation efforts. You can maintain control while utilizing your current tools and workflows, connecting with your audience in your envisioned manner. Production companies, editorial facilities, visual effects studios, audio houses, and finishing houses can collaborate with diverse vendors and securely exchange files across teams and various branch locations. Envoi, utilizing IBM Aspera on Cloud, Amazon S3, and Equinix, will automate the processing and delivery of these files through efficient workflows. You can upload files, request metadata, and collaborate with team members, storage options, and distribution partners seamlessly. By establishing ingest and distribution workflows, you can ensure that files are processed and transformed upon arrival, enhancing overall productivity and collaboration in your projects. This innovative approach not only streamlines operations but also fosters greater creativity and efficiency in media production.

AWS Hybrid Cloud services offer a seamless AWS experience tailored to your needs, whether in the cloud, on-premises, or at the edge. You can choose from an extensive array of services encompassing compute, networking, storage, security, identity, data integration, management, monitoring, and operations to design hybrid architectures that align with your unique requirements and use cases. By bringing cloud infrastructure and services to the locations you need, you can accelerate your digital transformation initiatives. Additionally, AWS enables you to modernize and manage all your applications, including those that must remain in specific locations due to data residency, local processing, and latency considerations. As a result, you can expect to see enhanced productivity and reduced costs. Furthermore, developers gain access to a unified platform for building, deploying, and managing applications, while IT teams benefit from consistent hardware, services, and tools for operating infrastructure across on-premises, cloud, and edge environments, ensuring a cohesive operational strategy. This integrated approach empowers organizations to respond swiftly to evolving business needs and technological advancements.

Amazon EKS Anywhere is a recently introduced option for deploying Amazon EKS that simplifies the process of creating and managing Kubernetes clusters on-premises, whether on your dedicated virtual machines (VMs) or bare metal servers. This solution offers a comprehensive software package designed for the establishment and operation of Kubernetes clusters in local environments, accompanied by automation tools for effective cluster lifecycle management. EKS Anywhere ensures a uniform management experience across your data center, leveraging the capabilities of Amazon EKS Distro, which is the same Kubernetes version utilized by EKS on AWS. By using EKS Anywhere, you can avoid the intricacies involved in procuring or developing your own management tools to set up EKS Distro clusters, configure the necessary operating environment, perform software updates, and manage backup and recovery processes. It facilitates automated cluster management, helps cut down support expenses, and removes the need for multiple open-source or third-party tools for running Kubernetes clusters. Furthermore, EKS Anywhere comes with complete support from AWS, ensuring that users have access to reliable assistance whenever needed. This makes it an excellent choice for organizations looking to streamline their Kubernetes operations while maintaining control over their infrastructure.

Effortlessly store, share, and deploy your containerized software wherever needed. You can push container images to Amazon ECR without the necessity of installing or managing infrastructure, while also retrieving images using any preferred management tool. Securely share and download images via Hypertext Transfer Protocol Secure (HTTPS), featuring built-in encryption and access controls. Enhance the speed of accessing and distributing your images, minimize download times, and boost availability with a robust and scalable architecture. Amazon ECR serves as a fully managed container registry that provides high-performance hosting, enabling you to reliably deploy application images and artifacts across various platforms. Additionally, ensure that your organization's image compliance security needs are met through insights derived from common vulnerabilities and exposures (CVEs) alongside the Common Vulnerability Scoring System (CVSS). Easily publish containerized applications with a single command and seamlessly integrate them into your self-managed environments for a more efficient workflow. This streamlined process enhances both collaboration and productivity across teams.

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.