Business Software for Amazon EKS

Elastic Load Balancing efficiently directs incoming application traffic to various destinations, including Amazon EC2 instances, containers, IP addresses, Lambda functions, and virtual appliances. It allows you to manage the fluctuating load of your application traffic across a single zone or multiple Availability Zones. With four distinct types of load balancers, Elastic Load Balancing ensures that your applications maintain high availability, automatic scalability, and robust security, making them resilient to faults. As an integral part of the AWS ecosystem, it is designed with an understanding of fault limits, such as Availability Zones, which ensures your applications remain operational within a single region without the need for Global Server Load Balancing (GSLB). Additionally, ELB is a fully managed service, enabling you to concentrate on application delivery rather than the complexities of deploying numerous load balancers. Furthermore, capacity is dynamically adjusted based on the demand for the underlying application servers, optimizing resource utilization effectively. This intelligent scaling capability allows businesses to better respond to varying traffic levels and enhances overall application performance.

ARMO guarantees comprehensive security for workloads and data hosted internally. Our innovative technology, currently under patent review, safeguards against breaches and minimizes security-related overhead across all environments, whether they are cloud-native, hybrid, or legacy systems. Each microservice is uniquely protected by ARMO, achieved through the creation of a cryptographic code DNA-based workload identity. This involves a thorough analysis of the distinctive code signature of each application, resulting in a personalized and secure identity for every workload instance. To thwart hacking attempts, we implement and uphold trusted security anchors within the software memory that is protected throughout the entire application execution lifecycle. Our stealth coding technology effectively prevents any reverse engineering of the protective code, ensuring that secrets and encryption keys are fully safeguarded while they are in use. Furthermore, our encryption keys remain concealed and are never exposed, rendering them impervious to theft. Ultimately, ARMO provides robust, individualized security solutions tailored to the specific needs of each workload.

Empower individuals to explore and analyze streaming data effectively. By sharing, documenting, and organizing your data, you can boost productivity by as much as 95%. Once you have your data, you can create applications tailored for real-world use cases. Implement a security model focused on data to address the vulnerabilities associated with open source technologies, ensuring data privacy is prioritized. Additionally, offer secure and low-code data pipeline functionalities that enhance usability. Illuminate all hidden aspects and provide unmatched visibility into data and applications. Integrate your data mesh and technological assets, ensuring you can confidently utilize open-source solutions in production environments. Lenses has been recognized as the premier product for real-time stream analytics, based on independent third-party evaluations. With insights gathered from our community and countless hours of engineering, we have developed features that allow you to concentrate on what generates value from your real-time data. Moreover, you can deploy and operate SQL-based real-time applications seamlessly over any Kafka Connect or Kubernetes infrastructure, including AWS EKS, making it easier than ever to harness the power of your data. By doing so, you will not only streamline operations but also unlock new opportunities for innovation.

NoPass™ is an advanced multi-factor authentication solution designed for remote users. Beyond just requiring a username and password, NoPass™ incorporates two additional layers of authentication: something you possess and something intrinsic to you. This innovation leverages smartphones, eliminating the need for users to invest in separate hardware authentication devices. Additionally, it steers clear of SMS-based methods, which are not only expensive but also susceptible to interception. Given the rise of phishing and various identity-related threats in modern society, traditional authentication methods reliant solely on a username and password—such as RADIUS—face significant vulnerabilities. Even the most knowledgeable users can fall prey to sophisticated social engineering tactics and deceptive ploys. To address these challenges, Identité™ has launched its NoPass™ Employee MFA solution, which is a user-friendly feature that bolsters overall security and seamlessly integrates with prevalent authentication protocols available today. By utilizing this innovative approach, organizations can significantly reduce their risk of unauthorized access and enhance their cybersecurity posture.

Zesty’s cloud infrastructure optimization platform offers solutions for databases, storage and compute. It also helps companies reduce cloud spending. Zesty, powered by machine learning and automation, provides FinOps/DevOps teams actionable insights to fit real-time applications and achieve optimal utilization of cloud resources. Zesty Commitment Manager optimizes EC2 discount plans and RDS automatically, ensuring maximum coverage with deeper savings. This is done with minimal financial risk. Zesty Disk automatically scales EBS volumes up or down to match real-time applications needs. This optimizes storage utilization, eliminates the risk of downtime and reduces costs by up 70%. Zesty Insights gives you a clear view of your potential savings, unused resources and offers actionable suggestions that will help you focus on saving the most money.

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.

An entirely automated DevOps platform designed for the seamless distribution of reliable software releases from development to production. Expedite the onboarding of DevOps initiatives by managing users, resources, and permissions to enhance deployment velocity. Confidently implement updates by proactively detecting open-source vulnerabilities and ensuring compliance with licensing regulations. Maintain uninterrupted operations throughout your DevOps process with High Availability and active/active clustering tailored for enterprises. Seamlessly manage your DevOps ecosystem using pre-built native integrations and those from third-party providers. Fully equipped for enterprise use, it offers flexibility in deployment options, including on-premises, cloud, multi-cloud, or hybrid solutions that can scale alongside your organization. Enhance the speed, dependability, and security of software updates and device management for IoT applications on a large scale. Initiate new DevOps projects within minutes while easily integrating team members, managing resources, and establishing storage limits, enabling quicker coding and collaboration. This comprehensive platform empowers your team to focus on innovation without the constraints of traditional deployment challenges.

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.

Ambient Mesh is a modern service mesh architecture designed to eliminate the complexity of traditional sidecar-based approaches. It secures, observes, and connects cloud-native workloads with minimal intrusion and resource consumption. Ambient Mesh delivers zero-trust security using workload identity, encryption, and automated certificate management. Teams gain deep visibility into traffic flows through distributed tracing, logs, and performance metrics. Advanced traffic control features support safe deployments, intelligent routing, and seamless failover. The platform improves resilience with circuit breaking, zone-aware load balancing, and retry policies. Ambient Mesh enables organizations to migrate existing sidecar workloads with zero downtime. A free migration tool provides automated analysis and step-by-step guidance. This approach reduces operational risk while maintaining compliance and control. Ambient Mesh simplifies service mesh adoption while lowering infrastructure costs.

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.