Amazon EKS Integrations

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.

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.

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.

If you're in need of computing power, database solutions, content distribution, or various other functionalities, AWS offers a wide array of services designed to assist you in developing advanced applications with enhanced flexibility, scalability, and reliability. Amazon Web Services (AWS) stands as the most extensive and widely utilized cloud platform globally, boasting over 175 fully functional services spread across data centers worldwide. A diverse range of customers, from rapidly expanding startups to major corporations and prominent government bodies, are leveraging AWS to reduce expenses, enhance agility, and accelerate innovation. AWS provides a larger selection of services, along with more features within those services, compared to any other cloud provider—covering everything from fundamental infrastructure technologies like computing, storage, and databases to cutting-edge innovations such as machine learning, artificial intelligence, data lakes, analytics, and the Internet of Things. This breadth of offerings facilitates a quicker, simpler, and more cost-effective transition of your current applications to the cloud, ensuring that you can stay ahead in a competitive landscape while taking advantage of the latest technological advancements.

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!

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.

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.

Octopus Deploy was founded in 2012 and has enabled successful deployments for more than 25,000 companies worldwide. Octopus Deploy was the first release orchestration and DevOps automation tool. They were limited to large enterprises, slow, and didn't deliver on their promises. Octopus Deploy was first to be adopted by software teams. We continue to innovate new ways for Dev & Ops to automate releases and deliver software to production. Octopus Deploy provides a single location for your team: - Manage releases - Automate complex application deployments - Automate routine or emergency operations tasks Octopus is different because it focuses on repeatable, reliable deployments and has a deep understanding about how software teams work. Octopus is our philosophy about what makes good automation. This philosophy has been refined over a decade of many thousands of successful deployments. Octopus is designed to handle the most complex deployments.

JFrog Pipelines enables software development teams to accelerate the delivery of updates by automating their DevOps workflows in a secure and efficient manner across all tools and teams involved. It incorporates functions such as continuous integration (CI), continuous delivery (CD), and infrastructure management, automating the entire journey from code development to production deployment. This solution is seamlessly integrated with the JFrog Platform and is offered in both cloud-based and on-premises subscription models. It can scale horizontally, providing a centralized management system capable of handling thousands of users and pipelines within a high-availability (HA) setup. With pre-built declarative steps that require no scripting, users can easily construct intricate pipelines, including those that link multiple teams together. Furthermore, it works in conjunction with a wide array of DevOps tools, and the various steps within a single pipeline can operate on diverse operating systems and architectures, thus minimizing the necessity for multiple CI/CD solutions. This versatility makes JFrog Pipelines a powerful asset for teams aiming to enhance their software delivery processes.

CAST AI significantly reduces your compute costs with automated cost management and optimization. Within minutes, you can quickly optimize your GKE clusters thanks to real-time autoscaling up and down, rightsizing, spot instance automation, selection of most cost-efficient instances, and more. What you see is what you get – you can find out what your savings will look like with the Savings Report available in the free plan with K8s cost monitoring. Enabling the automation will deliver reported savings to you within minutes and keep the cluster optimized. The platform understands what your application needs at any given time and uses that to implement real-time changes for best cost and performance. It isn’t just a recommendation engine. CAST AI uses automation to reduce the operational costs of cloud services and enables you to focus on building great products instead of worrying about the cloud infrastructure. Companies that use CAST AI benefit from higher profit margins without any additional work thanks to the efficient use of engineering resources and greater control of cloud environments. As a direct result of optimization, CAST AI clients save an average of 63% on their Kubernetes cloud bills.

A pay-as-you-go security and observability software-as-a-service (SaaS) solution designed for containers, Kubernetes, and cloud environments provides users with a real-time overview of service dependencies and interactions across multi-cluster, hybrid, and multi-cloud setups. This platform streamlines the onboarding process and allows for quick resolution of Kubernetes security and observability challenges within mere minutes. Calico Cloud represents a state-of-the-art SaaS offering that empowers organizations of various sizes to secure their cloud workloads and containers, identify potential threats, maintain ongoing compliance, and address service issues in real-time across diverse deployments. Built upon Calico Open Source, which is recognized as the leading container networking and security framework, Calico Cloud allows teams to leverage a managed service model instead of managing a complex platform, enhancing their capacity for rapid analysis and informed decision-making. Moreover, this innovative platform is tailored to adapt to evolving security needs, ensuring that users are always equipped with the latest tools and insights to safeguard their cloud infrastructure effectively.

Resurface is a runtime API security tool. Resurface continuous API scanning allows you to detect and respond in real time to API threats and risks. Resurface is a purpose-built tool for API data. It captures all request and response payloads, including GraphQL, to instantly see potential threats and failures. Receive alerts about data breaches for zero-day detection. Resurface is mapped to OWASP Top10 and alerts on threats with complete security patterns. Resurface is self-hosted and all data is first-party. Resurface is the only API security system that can be used to perform deep inspections at scale. Resurface detects active attacks and alerts them by processing millions of API calls. Machine learning models detect anomalies and identify low-and slow attack patterns.

The NVIDIA Triton™ inference server provides efficient and scalable AI solutions for production environments. This open-source software simplifies the process of AI inference, allowing teams to deploy trained models from various frameworks, such as TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, and more, across any infrastructure that relies on GPUs or CPUs, whether in the cloud, data center, or at the edge. By enabling concurrent model execution on GPUs, Triton enhances throughput and resource utilization, while also supporting inferencing on both x86 and ARM architectures. It comes equipped with advanced features such as dynamic batching, model analysis, ensemble modeling, and audio streaming capabilities. Additionally, Triton is designed to integrate seamlessly with Kubernetes, facilitating orchestration and scaling, while providing Prometheus metrics for effective monitoring and supporting live updates to models. This software is compatible with all major public cloud machine learning platforms and managed Kubernetes services, making it an essential tool for standardizing model deployment in production settings. Ultimately, Triton empowers developers to achieve high-performance inference while simplifying the overall deployment process.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.

AWS App Mesh is a service mesh designed to enhance application-level networking, enabling seamless communication among your services across diverse computing environments. It provides excellent visibility and ensures high availability for your applications. Typically, modern applications comprise several services, each capable of being developed on various compute platforms, including Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate. As the complexity increases with more services being added, identifying error sources and managing traffic rerouting after issues become challenging, along with safely implementing code modifications. In the past, developers had to embed monitoring and control mechanisms within their code, necessitating a redeployment of services with each update. This reliance on manual intervention can lead to longer downtimes and increased potential for human error, but App Mesh alleviates these concerns by streamlining the process.

RapidFort streamlines the process of software deployment by automatically removing unnecessary components, resulting in more efficient, compact, and secure workloads. This innovative solution significantly cuts down on vulnerability management and patching tasks, allowing developers to concentrate on creating new features. By analyzing container setups, RapidFort determines essential components needed for operation, thereby bolstering the security of production workloads while sparing developers from the burden of managing irrelevant code. Users can deploy their containers seamlessly across various environments—be it development, testing, or production—and utilize any container orchestration tool, such as Kubernetes or Docker Compose. After profiling the containers, RapidFort highlights the packages that are necessary, facilitating the removal of those that are superfluous. Typical efficiency gains can range from 60% to 90%. Additionally, RapidFort offers users the flexibility to create and tailor remediation profiles, allowing them to selectively decide what components to keep or discard, further enhancing the customization and security of their deployments. This comprehensive approach not only simplifies management but also empowers teams to optimize their resources effectively.

Harness the capabilities of a no-code platform to create modern applications with ease. Design, deploy, manage, and expand cloud-native applications by taking full advantage of your team's existing skills. Transform your applications to seize new revenue streams and surpass customer expectations by swiftly modernizing both legacy and new projects. Position yourself ahead of the competition and drive transformative change. Utilize the platform's built-in DevOps features to streamline and automate the processes of software delivery and maintenance effectively. Enhance your 'cloud first' approach by incorporating support for multi-cloud and hybrid cloud environments. Prevent vendor lock-in and empower your teams with the freedom to choose their preferred cloud services and infrastructure. Minimize human error and reclaim valuable time for modernizing applications. Accelerate debugging and issue resolution with the platform's integrated developer tools, allowing for a more efficient development process. By embracing this innovative approach, organizations can foster a culture of agility and responsiveness to market demands.

Calico is a versatile open-source solution designed for networking and securing containers, virtual machines, and workloads on native hosts. It is compatible with a wide array of platforms such as Kubernetes, OpenShift, Mirantis Kubernetes Engine (MKE), OpenStack, and even bare metal environments. Users can choose between leveraging Calico's eBPF data plane or utilizing the traditional networking pipeline of Linux, ensuring exceptional performance and true scalability tailored for cloud-native applications. Both developers and cluster administrators benefit from a uniform experience and a consistent set of features, whether operating in public clouds or on-premises, on a single node, or across extensive multi-node clusters. Additionally, Calico offers flexibility in data planes, featuring options like a pure Linux eBPF data plane, a conventional Linux networking data plane, and a Windows HNS data plane. No matter if you are inclined toward the innovative capabilities of eBPF or the traditional networking fundamentals familiar to seasoned system administrators, Calico accommodates all preferences and needs effectively. Ultimately, this adaptability makes Calico a compelling choice for organizations seeking robust networking solutions.

Akto is an open source, instant API security platform that takes only 60 secs to get started. Akto is used by security teams to maintain a continuous inventory of APIs, test APIs for vulnerabilities and find runtime issues. Akto offers tests for all OWASP top 10 and HackerOne Top 10 categories including BOLA, authentication, SSRF, XSS, security configurations, etc. Akto's powerful testing engine runs variety of business logic tests by reading traffic data to understand API traffic pattern leading to reduced false positives. Akto can integrate with multiple traffic sources - Burpsuite, AWS, postman, GCP, gateways, etc.

Harpoon is an intuitive drag-and-drop tool designed for Kubernetes that allows users to deploy software within seconds. Whether you are just starting your journey with Kubernetes or seeking an efficient way to master it, Harpoon equips you with all the necessary features for effective deployment and configuration of your applications using this leading container orchestration platform, all without writing any code. The platform's visual interface makes it accessible for anyone to launch production-ready software effortlessly. You can easily manage simple or advanced enterprise-level cloud deployments, enabling you to deploy and configure software while autoscaling Kubernetes without the need for code or configuration scripts. With a single click, you can swiftly search for and find any commercial or open-source software available and deploy it to the cloud. Moreover, before launching any applications or services, Harpoon conducts automated security scripts to safeguard your cloud provider account. You can seamlessly connect Harpoon to your source code repository from anywhere and establish an automated deployment pipeline, ensuring a smooth development workflow. This streamlined process not only saves time but also enhances productivity, making Harpoon an essential tool for developers.

Ensure your applications perform well and maintain high quality by simulating real-world traffic conditions. Monitor code efficiency, quickly identify issues, and gain confidence that your application operates at peak performance prior to launch. Create realistic scenarios, conduct load testing, and develop sophisticated simulations of both external and internal backend systems to enhance your readiness for production. Eliminate the necessity of establishing expensive new environments for every test. The integrated autoscaling feature helps reduce your cloud expenses even more. Avoid cumbersome, custom-built frameworks and tedious manual testing scripts, enabling you to deploy more code in less time. Have confidence that updates can withstand heavy traffic demands. Avert significant outages, fulfill service level agreements, and safeguard user satisfaction. By mimicking external systems and internal infrastructure, you achieve more dependable and cost-effective testing. There is no need to invest in costly, comprehensive environments that require extensive setup time. Effortlessly transition away from outdated systems while ensuring a seamless experience for your customers. With these strategies, you can enhance your app’s resilience and performance under various conditions.

Hydrolix serves as a streaming data lake that integrates decoupled storage, indexed search, and stream processing, enabling real-time query performance at a terabyte scale while significantly lowering costs. CFOs appreciate the remarkable 4x decrease in data retention expenses, while product teams are thrilled to have four times more data at their disposal. You can easily activate resources when needed and scale down to zero when they are not in use. Additionally, you can optimize resource usage and performance tailored to each workload, allowing for better cost management. Imagine the possibilities for your projects when budget constraints no longer force you to limit your data access. You can ingest, enhance, and transform log data from diverse sources such as Kafka, Kinesis, and HTTP, ensuring you retrieve only the necessary information regardless of the data volume. This approach not only minimizes latency and costs but also eliminates timeouts and ineffective queries. With storage being independent from ingestion and querying processes, each aspect can scale independently to achieve both performance and budget goals. Furthermore, Hydrolix's high-density compression (HDX) often condenses 1TB of data down to an impressive 55GB, maximizing storage efficiency. By leveraging such innovative capabilities, organizations can fully harness their data potential without financial constraints.

Introducing a self-service development platform tailored for your applications, databases, and various tasks. You can begin with a single workload and effortlessly expand to manage hundreds, utilizing either compute or GPUs. Enhance every phase from code push to production with customizable self-service workflows, pipelines, templates, and GitOps practices. Safely launch preview, staging, and production environments while benefiting from built-in observability tools, backups, restoration capabilities, and rollback options. Northflank integrates flawlessly with your preferred tools, supporting any technology stack you choose. Regardless of whether you operate on Northflank’s secure infrastructure or utilize your own cloud account, you will enjoy the same outstanding developer experience, alongside complete control over your data residency, deployment regions, security measures, and cloud costs. By harnessing Kubernetes as its operating system, Northflank provides the advantages of a cloud-native environment without the associated complexities. Whether you opt for Northflank’s straightforward cloud or connect to your GKE, EKS, AKS, or even bare-metal setups, you can achieve a managed platform experience within minutes, thus optimizing your development workflow. This flexibility ensures that your projects can scale efficiently while maintaining robust performance across diverse environments.

D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges Accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. * Enable Day 2 Readiness Out-of-the-Box Without Lock-In * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise

Pepperdata autonomous, application-level cost optimization delivers 30-47% greater cost savings for data-intensive workloads such as Apache Spark on Amazon EMR and Amazon EKS with no application changes. Using patented algorithms, Pepperdata Capacity Optimizer autonomously optimizes CPU and memory in real time with no application code changes. Pepperdata automatically analyzes resource usage in real time, identifying where more work can be done, enabling the scheduler to add tasks to nodes with available resources and spin up new nodes only when existing nodes are fully utilized. The result: CPU and memory are autonomously and continuously optimized, without delay and without the need for recommendations to be applied, and the need for ongoing manual tuning is safely eliminated. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing Spark utilization, and freeing developers from manual tuning to focus on innovation.

CloudPlex serves as a comprehensive platform for enterprises to effectively transition and manage their applications in the cloud, catering to both technical requirements and business objectives. It oversees critical elements such as governance, security, orchestration, and cost management, ensuring a seamless experience. The platform supports a variety of application types, including cloud-native, containerized, and traditional legacy systems across all prominent public cloud providers in a cohesive manner. By automating the entire application provisioning and orchestration process, CloudPlex streamlines operations significantly. Furthermore, it addresses corporate financial concerns by offering a thorough workflow for estimating, reviewing, approving, and managing cloud expenses, alongside complete license management. This holistic approach empowers organizations to optimize their cloud usage while maintaining control over costs and compliance.

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.

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.

Smarter cloud backup, with zero hardware required, delivering the broadest coverage of data sources from a single app and lightning-quick recovery of any files on demand. Our vision is to enable MSPs to discover, manage and protect customer data in the simplest, smartest, safest way.

Each module can be used independently or together to create a powerful unified pipeline that spans CI, CD and Feature Flags. Every Harness module is powered by AI/ML. {Our algorithms verify deployments, identify test optimization opportunities, make cloud cost optimization recommendations, restore state on rollback, assist with complex deployment patterns, detect cloud cost anomalies, and trigger a bunch of other activities.|Our algorithms are responsible for verifying deployments, identifying test optimization opportunities, making cloud cost optimization recommendations and restoring state on rollback. They also assist with complex deployment patterns, detecting cloud cost anomalies, as well as triggering a variety of other activities.} It is not fun to sit and stare at dashboards and logs after a deployment. Let us do all the boring work. {Harness analyzes the logs, metrics, and traces from your observability solution and automatically determines the health of every deployment.|Harness analyzes logs, metrics, traces, and other data from your observability system and determines the health and condition of each deployment.} {When a bad deployment is detected, Harness can automatically rollback to the last good version.|Ha

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.

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.