Business Software for Amazon EKS

CloudZero helps businesses optimize cloud spend with full visibility into costs—so they can reduce wasteful spending and improve their unit economics. Unlike other solutions, we take an engineering-led approach to cost optimization, helping teams understand what drives 100% of their operational cloud spend, empowering them to reduce risk, minimize waste, and maximize profit.

Access and access management today have become more complex and frustrating. strongDM redesigns access around the people who need it, making it incredibly simple and usable while ensuring total security and compliance. We call it People-First Access. End users enjoy fast, intuitive, and auditable access to the resources they need. Administrators gain precise controls, eliminating unauthorized and excessive access permissions. IT, Security, DevOps, and Compliance teams can easily answer who did what, where, and when with comprehensive audit logs. It seamlessly and securely integrates with every environment and protocol your team needs, with responsive 24/7 support.

Amazon Elastic Container Service (ECS) is a comprehensive container orchestration platform that is fully managed. Notable clients like Duolingo, Samsung, GE, and Cook Pad rely on ECS to operate their critical applications due to its robust security, dependability, and ability to scale. There are multiple advantages to utilizing ECS for container management. For one, users can deploy their ECS clusters using AWS Fargate, which provides serverless computing specifically designed for containerized applications. By leveraging Fargate, customers eliminate the need for server provisioning and management, allowing them to allocate costs based on their application's resource needs while enhancing security through inherent application isolation. Additionally, ECS plays a vital role in Amazon’s own infrastructure, powering essential services such as Amazon SageMaker, AWS Batch, Amazon Lex, and the recommendation system for Amazon.com, which demonstrates ECS’s extensive testing and reliability in terms of security and availability. This makes ECS not only a practical option but a proven choice for organizations looking to optimize their container operations efficiently.

Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack.

AWS is the leading provider of cloud computing, delivering over 200 fully featured services to organizations worldwide. Its offerings cover everything from infrastructure—such as compute, storage, and networking—to advanced technologies like artificial intelligence, machine learning, and agentic AI. Businesses use AWS to modernize legacy systems, run high-performance workloads, and build scalable, secure applications. Core services like Amazon EC2, Amazon S3, and Amazon DynamoDB provide foundational capabilities, while advanced solutions like SageMaker and AWS Transform enable AI-driven transformation. The platform is supported by a global infrastructure that includes 38 regions, 120 availability zones, and 400+ edge locations, ensuring low latency and high reliability. AWS integrates with leading enterprise tools, developer SDKs, and partner ecosystems, giving teams the flexibility to adopt cloud at their own pace. Its training and certification programs help individuals and companies grow cloud expertise with industry-recognized credentials. With its unmatched breadth, depth, and proven track record, AWS empowers organizations to innovate and compete in the digital-first economy.

IT performance monitoring does not just focus on monitoring CPU, memory, and network resources. eG Enterprise makes the user experience the center of your IT management and monitoring strategy. eG Enterprise allows you to measure the digital experience of your users and get deep visibility into the performance of the entire application delivery chain -- from code to user experiences to data center to cloud -- all from a single pane. You can also correlate performance across domains to pinpoint the root cause of problems proactively. eG Enterprise's machine learning and analytics capabilities enable IT teams to make smart decisions about right-sizing and optimizing for future growth. The result is happier users, increased productivity, improved IT efficiency, and tangible business ROI. eG Enterprise can be installed on-premise or as a SaaS service. Get a free trial of eG Enterprise today.

Amazon CloudWatch serves as a comprehensive monitoring and observability tool designed specifically for DevOps professionals, software developers, site reliability engineers, and IT administrators. This service equips users with essential data and actionable insights necessary for overseeing applications, reacting to performance shifts across systems, enhancing resource efficiency, and gaining an integrated perspective on operational health. By gathering monitoring and operational information in the forms of logs, metrics, and events, CloudWatch delivers a cohesive view of AWS resources, applications, and services, including those deployed on-premises. Users can leverage CloudWatch to identify unusual patterns within their environments, establish alerts, visualize logs alongside metrics, automate responses, troubleshoot problems, and unearth insights that contribute to application stability. Additionally, CloudWatch alarms continuously monitor your specified metric values against established thresholds or those generated through machine learning models to effectively spot any anomalous activities. This functionality ensures that users can maintain optimal performance and reliability across their systems.

Introducing K8 Studio, the premier cross-platform client IDE designed for streamlined management of Kubernetes clusters. Effortlessly deploy your applications across leading platforms like EKS, GKE, AKS, or even on your own bare metal infrastructure. Enjoy the convenience of connecting to your cluster through a user-friendly interface that offers a clear visual overview of nodes, pods, services, and other essential components. Instantly access logs, receive in-depth descriptions of elements, and utilize a bash terminal with just a click. K8 Studio enhances your Kubernetes workflow with its intuitive features. With a grid view for a detailed tabular representation of Kubernetes objects, users can easily navigate through various components. The sidebar allows for the quick selection of object types, ensuring a fully interactive experience that updates in real time. Users benefit from the ability to search and filter objects by namespace, as well as rearranging columns for customized viewing. Workloads, services, ingresses, and volumes are organized by both namespace and instance, facilitating efficient management. Additionally, K8 Studio enables users to visualize the connections between objects, allowing for a quick assessment of pod counts and current statuses. Dive into a more organized and efficient Kubernetes management experience with K8 Studio, where every feature is designed to optimize your workflow.

The world's only free modern embeddable data and analytics platform that provides a self-service, powerful, secure & seamless end-to-end experience. DataClarity Unlimited Analytics Benefits: SIMPLIFIED DATA INTEGRATION – Easily connect, join, curate, cache & catalog diverse data through drag and drop, custom SQL builder and AI-powered data profiling. | INTERACTIVE REPORTS & DASHBOARDS – craft compelling storyboards using 80 stunning visualizations, geospatial maps & flexibility to bring your own charts. | REAL-TIME ANALYSIS – Perform advanced analysis & data exploration using drill-down, drill-through, filters, built-in statistical & predictive models, or your own Python and R code. | SMOOTH APPLICATION INTEGRATION – Achieve seamless integration with robust APIs, tailor-made configurations and flexible embedding features. | SECURITY and GOVERNANCE – Comply with your security guidelines, governance standards, multitenancy, row-level data protection, and SSO (Single Sign-On). DataClarity Unlimited Analytics is tailored for ISVs , SaaS providers, consultancies, and IT teams and includes: free forever software license, free version updates & access to support resources, and optional paid 24/7 production support with SLA.

Protect your APIs by analyzing and protecting them with passive, inline, or API-based integration with any network component, such as an API gateway, proxy or CDN. Predefined policies that are fine-tuned based on threat patterns, which have been used to protect billions of API transactions every day, provide unmatched protection. An API-based architecture and rich user interface allow integration with threat intelligence feeds and other security components. Patented ML based analysis eliminates JavaScript integration pen-alties like slow page loads, extended development cycles, and forced mobile-app upgrade. ML-based analysis generates a unique Behavioral Footprint to identify malicious intent and continuously tracks attackers as they retool.

Amazon CodeGuru is an advanced developer tool that leverages machine learning to offer insightful suggestions for enhancing code quality and pinpointing the most costly lines of code within an application. By seamlessly incorporating Amazon CodeGuru into your current software development processes, you can benefit from integrated code reviews that highlight and optimize costly code segments, ultimately leading to cost savings. Additionally, Amazon CodeGuru Profiler assists developers in identifying the most expensive lines of code, providing detailed visualizations and actionable advice for optimizing performance and reducing expenses. Furthermore, the Amazon CodeGuru Reviewer employs machine learning techniques to detect significant issues and elusive bugs during the development phase, thereby elevating the overall quality of the codebase while facilitating more efficient application development. This powerful combination of tools ensures that developers not only write better code but also maintain a focus on cost efficiency throughout the software lifecycle.

DeepSeek-R1 is a cutting-edge open-source reasoning model created by DeepSeek, aimed at competing with OpenAI's Model o1. It is readily available through web, app, and API interfaces, showcasing its proficiency in challenging tasks such as mathematics and coding, and achieving impressive results on assessments like the American Invitational Mathematics Examination (AIME) and MATH. Utilizing a mixture of experts (MoE) architecture, this model boasts a remarkable total of 671 billion parameters, with 37 billion parameters activated for each token, which allows for both efficient and precise reasoning abilities. As a part of DeepSeek's dedication to the progression of artificial general intelligence (AGI), the model underscores the importance of open-source innovation in this field. Furthermore, its advanced capabilities may significantly impact how we approach complex problem-solving in various domains.

One tool can manage your entire data labeling workflow. We invite you to discover the best way to manage your labeling staff, improve data quality, work 70% faster, and get organized!

Open Source Enterprise-Grade Managed Hosting amazee.io provides agile, high-performance hosting solutions specifically engineered for enterprise speed, security, and global scale. From sprawling multi-site Drupal architectures to isolated Laravel apps and bespoke technology stacks, our container-based platform offers the ultimate flexibility for any digital project. Our specialized systems engineers act as an extension of your team, providing 24/7/365 support for custom configurations and unique architectural needs. We prioritize the integrity of your data with a GDPR-compliant infrastructure that has successfully passed rigorous SOC 2 audits. By leveraging the latest cloud-native technologies, we deliver a seamless experience for developers and end-users alike. Our intelligent platform is built to absorb sudden traffic surges and automatically provision server resources the moment they are required. Furthermore, you can accelerate your workflow by generating byte-for-byte clones of your environment for rapid testing and Git-based pull requests. Your Partner in Managed Open Source Excellence.

AWS Step Functions serves as a serverless orchestrator, simplifying the process of arranging AWS Lambda functions alongside various AWS services to develop essential business applications. It features a visual interface that allows users to design and execute a series of event-driven workflows with checkpoints, ensuring that the application state is preserved throughout. The subsequent step in the workflow utilizes the output from the previous one, creating a seamless flow dictated by the specified business logic. As each component of your application is executed in the designated order, the orchestration of distinct serverless applications can present challenges, especially with tasks like managing retries and troubleshooting issues. The increasing complexity of distributed applications demands effective management strategies, which can be daunting. However, Step Functions alleviates much of this operational strain through integrated controls that handle sequencing, error management, retry mechanisms, and state maintenance. This functionality allows teams to focus more on innovation rather than the intricacies of application management. Ultimately, AWS Step Functions empowers users to translate business needs into technical solutions rapidly by providing intuitive visual workflows for streamlined development.

Meet the Industry’s Context-Aware API Security Platform Traceable identifies all of your APIs, and evaluates your API risk posture, stops API attacks that lead to incidents such as data exfiltration, and provides analytics for threat hunting and forensic research. With our solution, you can confidently discover, manage and secure all of your APIs, quickly deploy, and easily scale to meet the ongoing needs of your organization.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

While many Kubernetes platforms enable users to create and oversee Kubernetes clusters, Loft takes a different approach. Rather than being a standalone solution for managing clusters, Loft serves as an advanced control plane that enhances your current Kubernetes environments by introducing multi-tenancy and self-service functionalities, maximizing the benefits of Kubernetes beyond mere cluster oversight. It boasts an intuitive user interface and command-line interface, yet operates entirely on the Kubernetes framework, allowing seamless management through kubectl and the Kubernetes API, which ensures exceptional compatibility with pre-existing cloud-native tools. The commitment to developing open-source solutions is integral to our mission, as Loft Labs proudly holds membership with both the CNCF and the Linux Foundation. By utilizing Loft, organizations can enable their teams to create economical and efficient Kubernetes environments tailored for diverse applications, fostering innovation and agility in their workflows. This unique capability empowers businesses to harness the true potential of Kubernetes without the complexity often associated with cluster management.

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.

Argonaut accelerates your move to the cloud. In a matter of minutes, you can go from configuring your cloud to provisioning environments to deploying your application. Our product gives you access to the best practices and cost-effective solutions for your preferred stack, complete visibility into your infrastructure's health, and an option to scale as your business grows. Our customers have saved hundreds of dollars per month and weeks on their cloud deployment timeframes. Get started now for free and experience the benefits.

You can develop on your laptop, then scale the same Python code elastically across hundreds or GPUs on any cloud. Ray converts existing Python concepts into the distributed setting, so any serial application can be easily parallelized with little code changes. With a strong ecosystem distributed libraries, scale compute-heavy machine learning workloads such as model serving, deep learning, and hyperparameter tuning. Scale existing workloads (e.g. Pytorch on Ray is easy to scale by using integrations. Ray Tune and Ray Serve native Ray libraries make it easier to scale the most complex machine learning workloads like hyperparameter tuning, deep learning models training, reinforcement learning, and training deep learning models. In just 10 lines of code, you can get started with distributed hyperparameter tune. Creating distributed apps is hard. Ray is an expert in distributed execution.

You can immediately benefit from a powerful, yet simple to use Kubernetes backup service and cloud database backup service. It will backup your multi-cloud, multicluster, applications, and provide granular and cluster-level recovery, including cross-account and cross-cluster recovery. CloudCasa makes backup management easy for even developers. It offers a generous free service plan, with no credit card required. It is a great alternative for Velero. CloudCasa can be used as a SaaS solution. This means that you don't need to set up backup infrastructure, manage complex backup installations, or worry about security. You can set it and forget about it, so you won't have to worry about it. We automate and take care of all the hard work, including checking your security posture.

Panoptica makes it easy for you to secure containers, APIs and serverless functions and manage your software bills of material. It analyzes both internal and external APIs, assigns risk scores, and then reports back to you. Your policies determine which API calls the gateway allows or disables. Cloud-native architectures enable teams to develop and deploy software faster, keeping up with today's market. However, this speed comes at a cost: security. Panoptica fills these gaps by integrating automated policy-based security and visibility at every stage of the software-development process. The number of attack points has increased significantly with the decentralized cloud-native architectures. Changes in the computing landscape have also increased the risk of security breaches. Here are some reasons why comprehensive security is so important. A platform that protects all aspects of an application's lifecycle, from development to runtime, is essential.

StormForge drives immediate benefits for organization through its continuous Kubernetes workload rightsizing capabilities — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the HPA at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced ML algorithms to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing.

For companies that depend on a modern, multi-cloud infrastructure to power their SaaS customer experience, Yotascale enables dynamic cloud cost management with unmatched insights, accuracy, and time to value to help reduce their cloud spend by up to 50%. Unlike first-generation solutions that are hard to use and even harder to configure, and don’t give real-time, proactive insights, Yotascale delivers real value in the first few days, and every day thereafter, because we make it easy for the right people to take the right course of action at the right time to get cloud costs under control. At Yotascale, we make it easy for teams to take ownership of cloud costs with: 95% accurate, granular cost attribution that matches the way you do business; all-in-one support for multi-cloud and containers (including Kubernetes, ECS, AKS and more); and highly actionable scenario-based recommendations at the application, service and workload level that make optimizing cloud costs simple, efficient, and predictable.