Alternatives to AWS App Mesh

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.

Amazon Elastic Compute Cloud (Amazon EC2) is a cloud service that offers flexible and secure computing power. It aims to simplify cloud computing at a large scale for developers. With its user-friendly web service interface, you can easily acquire and set up capacity with minimal hassle. EC2 gives you full control over your computing resources, allowing you to operate within Amazon's established computing framework. It offers an extensive selection of compute, networking (up to 400 Gbps), and storage options specifically designed to enhance price performance for machine learning initiatives. Additionally, you can create, test, and deploy macOS workloads on demand. You can access environments quickly, adjust capacity dynamically as required, and take advantage of AWS's pay-as-you-go pricing model. This on-demand infrastructure enables you to execute high-performance computing (HPC) applications in a faster and more cost-effective manner. Furthermore, Amazon EC2 ensures a secure, dependable, high-performance, and economical computing foundation that caters to challenging business requirements while adapting to changing demands.

Amazon Elastic Kubernetes Service (EKS) is a comprehensive Kubernetes management solution that operates entirely under AWS's management. High-profile clients like Intel, Snap, Intuit, GoDaddy, and Autodesk rely on EKS to host their most critical applications, benefiting from its robust security, dependability, and ability to scale efficiently. EKS stands out as the premier platform for running Kubernetes for multiple reasons. One key advantage is the option to deploy EKS clusters using AWS Fargate, which offers serverless computing tailored for containers. This feature eliminates the need to handle server provisioning and management, allows users to allocate and pay for resources on an application-by-application basis, and enhances security through inherent application isolation. Furthermore, EKS seamlessly integrates with various Amazon services, including CloudWatch, Auto Scaling Groups, IAM, and VPC, ensuring an effortless experience for monitoring, scaling, and load balancing applications. This level of integration simplifies operations, enabling developers to focus more on building their applications rather than managing infrastructure.

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

Amazon CloudFront is an efficient content delivery network (CDN) service that ensures secure and rapid delivery of data, videos, applications, and APIs to users around the world, providing low latency and high transfer speeds within a user-friendly framework for developers. It is closely integrated with AWS, utilizing physical locations that are directly linked to the AWS global infrastructure alongside various AWS services. This service operates seamlessly alongside tools like AWS Shield for DDoS protection, Amazon S3, Elastic Load Balancing, or Amazon EC2 as the origins for your applications, and Lambda@Edge for executing custom code nearer to the end users, enhancing their experience. Moreover, when utilizing AWS origins like Amazon S3, Amazon EC2, or Elastic Load Balancing, customers incur no charges for data transfer between these services and CloudFront. Additionally, you can tailor the serverless compute features at the edge of the AWS content delivery network (CDN) to optimize for cost, performance, and security, providing a versatile solution for modern application needs. This comprehensive integration empowers developers to create dynamic and responsive applications that cater to a global audience efficiently.

Amazon Route 53 is a robust and scalable cloud-based Domain Name System (DNS) service that ensures high availability. It allows developers and businesses to efficiently direct users to online applications by converting domain names into the numerical IP addresses used by computers for communication, such as 192.0.2.1. This service is fully compatible with IPv6, enhancing its versatility. Additionally, Amazon Route 53 seamlessly links user requests to various AWS infrastructure components, including Amazon EC2 instances, Elastic Load Balancing load balancers, and Amazon S3 buckets, while also offering the capability to direct traffic to external infrastructure. Users can implement DNS health checks to consistently monitor their applications' resilience and manage recovery processes with the Route 53 Application Recovery Controller. Furthermore, Amazon Route 53 Traffic Flow simplifies global traffic management through an array of routing options, making it an essential tool for optimizing application performance and reliability. By leveraging these features, organizations can enhance their overall operational efficiency and user experience.

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

A comprehensive multi-cloud service networking solution designed to link and secure services across various runtime environments and both public and private cloud infrastructures. It offers real-time updates on the health and location of all services, ensuring progressive delivery and zero trust security with minimal overhead. Users can rest assured that all HCP connections are automatically secured, providing a strong foundation for safe operations. Moreover, it allows for detailed insights into service health and performance metrics, which can be visualized directly within the Consul UI or exported to external analytics tools. As many contemporary applications shift towards decentralized architectures rather than sticking with traditional monolithic designs, particularly in the realm of microservices, there arises a crucial need for a comprehensive topological perspective on services and their interdependencies. Additionally, organizations increasingly seek visibility into the health and performance metrics pertaining to these various services to enhance operational efficiency. This evolution in application architecture underscores the importance of robust tools that facilitate seamless service integration and monitoring.

Linkerd enhances the security, observability, and reliability of your Kubernetes environment without necessitating any code modifications. It is fully Apache-licensed and boasts a rapidly expanding, engaged, and welcoming community. Constructed using Rust, Linkerd's data plane proxies are remarkably lightweight (under 10 MB) and exceptionally quick, achieving sub-millisecond latency for 99th percentile requests. There are no convoluted APIs or complex configurations to manage. In most scenarios, Linkerd operates seamlessly right from installation. The control plane of Linkerd can be deployed into a single namespace, allowing for the gradual and secure integration of services into the mesh. Additionally, it provides a robust collection of diagnostic tools, including automatic mapping of service dependencies and real-time traffic analysis. Its top-tier observability features empower you to track essential metrics such as success rates, request volumes, and latency, ensuring optimal performance for every service within your stack. With Linkerd, teams can focus on developing their applications while benefiting from enhanced operational insights.

Creating applications using a microservices architecture offers numerous advantages, yet as these applications grow, their workloads can become intricate and fragmented. Google’s Anthos Service Mesh, based on the robust Istio open-source framework, empowers you to oversee, monitor, and secure your services without the need to modify your application code. By streamlining service delivery, Anthos Service Mesh handles everything from managing telemetry and traffic within the mesh to safeguarding the communication channels between services, which significantly alleviates the workload for development and operations teams. As a comprehensive managed service, Anthos Service Mesh simplifies the management of complex environments while allowing you to enjoy the full spectrum of benefits they provide. With this fully managed solution, there’s no need to stress over the procurement and maintenance of your service mesh; it’s all taken care of for you. Concentrate on creating outstanding applications while we handle the intricacies of the service mesh for you, ensuring a seamless integration of all components involved.

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

Kiali serves as a comprehensive management console for the Istio service mesh, and it can be easily integrated as an add-on within Istio or trusted for use in a production setup. With the help of Kiali's wizards, users can effortlessly generate configurations for application and request routing. The platform allows users to perform actions such as creating, updating, and deleting Istio configurations, all facilitated by intuitive wizards. Kiali also boasts a rich array of service actions, complete with corresponding wizards to guide users. It offers both a concise list and detailed views of the components within your mesh. Moreover, Kiali presents filtered list views of all service mesh definitions, ensuring clarity and organization. Each view includes health metrics, detailed descriptions, YAML definitions, and links designed to enhance visualization of your mesh. The overview tab is the primary interface for any detail page, delivering in-depth insights, including health status and a mini-graph that illustrates current traffic related to the component. The complete set of tabs and the information available vary depending on the specific type of component, ensuring that users have access to relevant details. By utilizing Kiali, users can streamline their service mesh management and gain more control over their operational environment.

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.

Effortless traffic management for your service mesh. A service mesh is a robust framework that has gained traction for facilitating microservices and contemporary applications. Within this framework, the data plane, featuring service proxies such as Envoy, directs the traffic, while the control plane oversees policies, configurations, and intelligence for these proxies. Google Cloud Platform's Traffic Director acts as a fully managed traffic control system for service mesh. By utilizing Traffic Director, you can seamlessly implement global load balancing across various clusters and virtual machine instances across different regions, relieve service proxies of health checks, and set up advanced traffic control policies. Notably, Traffic Director employs open xDSv2 APIs to interact with the service proxies in the data plane, ensuring that users are not confined to a proprietary interface. This flexibility allows for easier integration and adaptability in various operational environments.

Kuma provides an enterprise service mesh that seamlessly operates across multiple clouds and clusters, whether on Kubernetes or virtual machines. With just a single command, users can deploy the service mesh and automatically connect to other services through its integrated service discovery features, which include Ingress resources and remote control planes. This solution is versatile enough to function in any environment, efficiently managing resources across multi-cluster, multi-cloud, and multi-platform settings. By leveraging native mesh policies, organizations can enhance their zero-trust and GDPR compliance initiatives, thereby boosting the performance and productivity of application teams. The architecture allows for the deployment of a singular control plane that can effectively scale horizontally to accommodate numerous data planes, or to support various clusters, including hybrid service meshes that integrate both Kubernetes and virtual machines. Furthermore, cross-zone communication is made easier with Envoy-based ingress deployments across both environments, coupled with a built-in DNS resolver for optimal service-to-service interactions. Built on the robust Envoy framework, Kuma also offers over 50 observability charts right out of the box, enabling the collection of metrics, traces, and logs for all Layer 4 to Layer 7 traffic, thereby providing comprehensive insights into service performance and health. This level of observability not only enhances troubleshooting but also contributes to a more resilient and reliable service architecture.

Kuma is an open-source control plane designed for service mesh that provides essential features such as security, observability, and routing capabilities. It is built on the Envoy proxy and serves as a contemporary control plane for microservices and service mesh, compatible with both Kubernetes and virtual machines, allowing for multiple meshes within a single cluster. Its built-in architecture supports L4 and L7 policies to facilitate zero trust security, traffic reliability, observability, and routing with minimal effort. Setting up Kuma is a straightforward process that can be accomplished in just three simple steps. With Envoy proxy integrated, Kuma offers intuitive policies that enhance service connectivity, ensuring secure and observable interactions between applications, services, and even databases. This powerful tool enables the creation of modern service and application connectivity across diverse platforms, cloud environments, and architectures. Additionally, Kuma seamlessly accommodates contemporary Kubernetes setups alongside virtual machine workloads within the same cluster and provides robust multi-cloud and multi-cluster connectivity to meet the needs of the entire organization effectively. By adopting Kuma, teams can streamline their service management and improve overall operational efficiency.

Establish, safeguard, manage, and monitor your services seamlessly. With Istio's traffic management capabilities, you can effortlessly dictate the flow of traffic and API interactions between various services. Furthermore, Istio streamlines the setup of service-level configurations such as circuit breakers, timeouts, and retries, facilitating essential processes like A/B testing, canary deployments, and staged rollouts through traffic distribution based on percentages. It also includes built-in recovery mechanisms to enhance the resilience of your application against potential failures from dependent services or network issues. The security aspect of Istio delivers a thorough solution to address these challenges, and this guide outlines how you can leverage Istio's security functionalities to protect your services across different environments. In particular, Istio security effectively addresses both internal and external risks to your data, endpoints, communications, and overall platform security. Additionally, Istio continuously generates extensive telemetry data for all service interactions within a mesh, enabling better insights and monitoring capabilities. This robust telemetry is crucial for maintaining optimal service performance and security.

Maximize your resources. Optimize your cloud, platforms, and software. This is the new definition of application and API network operations management. All your API, application, and network operations are managed in the same place, with the same governance rules, observability and auditing. Zero-trust micro-segmentation and omni-directional traffic splitting, infrastructure agnostic authentication, and traffic management are all available to protect your resources. IT-informed decision making is possible. Massive IT operations data is generated by API, application and network monitoring and control. It is possible to access it in real-time using AI. Grey Matter makes integration easy and standardizes aggregation of all IT Operations data. You can fully leverage your mesh telemetry to secure and flexiblely future-proof your hybrid infrastructure.

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

Calisti offers robust security, observability, and traffic management solutions tailored for microservices and cloud-native applications, enabling administrators to seamlessly switch between real-time and historical data views. It facilitates the configuration of Service Level Objectives (SLOs), monitoring burn rates, error budgets, and compliance, while automatically scaling resources through GraphQL alerts based on SLO burn rates. Additionally, Calisti efficiently manages microservices deployed on both containers and virtual machines, supporting a gradual migration from VMs to containers. By applying policies uniformly, it reduces management overhead while ensuring that application Service Level Objectives are consistently met across Kubernetes and virtual machines. Furthermore, with Istio releasing updates every three months, Calisti incorporates its own Istio Operator to streamline lifecycle management, including features for canary deployments of the platform. This comprehensive approach not only enhances operational efficiency but also adapts to evolving technological advancements in the cloud-native ecosystem.

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.

F5 Aspen Mesh enables organizations to enhance the performance of their modern application ecosystems by utilizing the capabilities of their service mesh technology. As a division of F5, Aspen Mesh is dedicated to providing high-quality, enterprise-level solutions that improve the functionality of contemporary app environments. Accelerate the development of unique and competitive features through the use of microservices, allowing for greater scalability and assurance. Minimize the likelihood of downtime while elevating the user experience for your customers. When deploying microservices into production on Kubernetes, Aspen Mesh can help you maximize the efficiency of your distributed systems. Furthermore, the platform offers alerts designed to mitigate the risks of application failures or performance issues, utilizing data and machine learning insights. Additionally, the Secure Ingress feature safely connects enterprise applications to users and the internet, ensuring robust security and accessibility for all stakeholders. By integrating these solutions, Aspen Mesh not only streamlines operations but also fosters innovation in application development.

KubeSphere serves as a distributed operating system designed for managing cloud-native applications, utilizing Kubernetes as its core. Its architecture is modular, enabling the easy integration of third-party applications into its framework. KubeSphere stands out as a multi-tenant, enterprise-level, open-source platform for Kubernetes, equipped with comprehensive automated IT operations and efficient DevOps processes. The platform features a user-friendly wizard-driven web interface, which empowers businesses to enhance their Kubernetes environments with essential tools and capabilities necessary for effective enterprise strategies. Recognized as a CNCF-certified Kubernetes platform, it is entirely open-source and thrives on community contributions for ongoing enhancements. KubeSphere can be implemented on pre-existing Kubernetes clusters or Linux servers and offers options for both online and air-gapped installations. This unified platform effectively delivers a range of functionalities, including DevOps support, service mesh integration, observability, application oversight, multi-tenancy, as well as storage and network management solutions, making it a comprehensive choice for organizations looking to optimize their cloud-native operations. Furthermore, KubeSphere's flexibility allows teams to tailor their workflows to meet specific needs, fostering innovation and collaboration throughout the development process.

Deploy your applications seamlessly with options like containers, virtual machines, or serverless architectures, while effortlessly integrating auto-scaling, performance monitoring, and fault diagnosis features. The platform is compatible with popular frameworks such as Spring Cloud and Dubbo, as well as Service Mesh, offering comprehensive solutions that cater to various scenarios and supporting widely-used programming languages including Java, Go, PHP, Node.js, and Python. Additionally, it facilitates the cloud-native transformation of Huawei's core services, ensuring compliance with rigorous performance, usability, and security standards. A variety of development frameworks, execution environments, and essential components are provided for web, microservices, mobile, and artificial intelligence applications. It allows for complete management of applications across their lifecycle, from deployment to upgrades. The system includes robust monitoring tools, event tracking, alarm notifications, log management, and tracing diagnostics, enhanced by built-in AI functionalities that simplify operations and maintenance. Furthermore, it enables the creation of a highly customizable application delivery pipeline with just a few clicks, enhancing both efficiency and user experience. Overall, this comprehensive solution empowers developers to streamline their workflow and optimize application performance effectively.

Experience fully managed Linkerd directly within your cluster. Operating a service mesh shouldn’t necessitate a dedicated engineering team. With Buoyant Cloud, Linkerd is expertly managed so you can focus on other priorities. Say goodbye to tedious tasks. Buoyant Cloud ensures that both your Linkerd control plane and data plane are consistently updated with the latest releases, while also managing installations, trust anchor rotations, and additional configurations. Streamline upgrades and installations with ease. Ensure that your data plane proxy versions are always aligned. Rotate TLS trust anchors effortlessly, without any hassle. Stay ahead of potential issues. Buoyant Cloud actively monitors the health of your Linkerd deployments and provides proactive notifications about possible problems before they become critical. Effortlessly track the health of your service mesh. Gain a comprehensive, cross-cluster perspective on Linkerd's performance. Stay informed about best practices for Linkerd through monitoring and reporting. Dismiss overly complex solutions that add unnecessary layers of difficulty. Linkerd operates seamlessly, and with the support of Buoyant Cloud, managing Linkerd has never been simpler or more efficient. Experience peace of mind knowing that your service mesh is in capable hands.

Streamline the process of application delivery by utilizing software-defined load balancers, web application firewalls, and container ingress services that can be deployed across any application in various data centers and cloud environments. Enhance management efficiency through unified policies and consistent operations across on-premises data centers as well as hybrid and public cloud platforms, which include VMware Cloud (such as VMC on AWS, OCVS, AVS, and GCVE), AWS, Azure, Google Cloud, and Oracle Cloud. Empower infrastructure teams by alleviating them from manual tasks and provide DevOps teams with self-service capabilities. The automation toolkits for application delivery encompass a variety of resources, including Python SDK, RESTful APIs, and integrations with Ansible and Terraform. Additionally, achieve unparalleled insights into network performance, user experience, and security through real-time application performance monitoring, closed-loop analytics, and advanced machine learning techniques that continuously enhance system efficiency. This holistic approach not only improves performance but also fosters a culture of agility and responsiveness within the organization.

ARMO delivers comprehensive security for both on-premises workloads and sensitive data. Utilizing our innovative technology, which is currently pending a patent, we effectively safeguard against breaches and mitigate security overhead for various environments, including cloud-native, hybrid, and legacy systems. Each microservice is uniquely defended by ARMO, achieved through the creation of a cryptographic code DNA-based identity that assesses the distinct code signature of every application, resulting in a tailored and secure identity for each workload instance. To thwart hacking attempts, we implement and uphold trusted security anchors within the protected software memory throughout the entire application execution process. Our stealth coding technology effectively hinders any reverse engineering efforts aimed at the protection code, ensuring robust security for secrets and encryption keys while they are actively in use. As a result, our encryption keys remain entirely concealed, rendering them impervious to theft and providing peace of mind to our users.

A typical flat vL3 domain enables databases operating across various clusters, clouds, or hybrid environments to seamlessly interact for the purpose of database replication. Workloads from different organizations can connect to a unified 'collaborative' Service Mesh, facilitating interactions across companies. Each workload is restricted to a single connectivity domain, with the stipulation that only those workloads residing in the same runtime domain can participate in that connectivity. In essence, Connectivity Domains are intricately linked to Runtime Domains. However, a fundamental principle of Cloud Native architectures is to promote Loose Coupling. This characteristic allows each workload the flexibility to receive services from different providers as needed. The specific Runtime Domain in which a workload operates is irrelevant to its communication requirements. Regardless of their locations, workloads that belong to the same application need to establish connectivity among themselves, emphasizing the importance of inter-workload communication. Ultimately, this approach ensures that application performance and collaboration remain unaffected by the underlying infrastructure.

Microservice practitioners on the ground soon discover that most operational issues encountered during the transition to a distributed architecture primarily stem from two key factors: networking and observability. The challenge of networking and troubleshooting a complex array of interconnected distributed services is significantly more daunting than doing so for a singular monolithic application. Envoy acts as a high-performance, self-contained server that boasts a minimal memory footprint and can seamlessly operate alongside any programming language or framework. It offers sophisticated load balancing capabilities, such as automatic retries, circuit breaking, global rate limiting, and request shadowing, in addition to zone local load balancing. Furthermore, Envoy supplies comprehensive APIs that facilitate dynamic management of its configurations, enabling users to adapt to changing needs. This flexibility and power make Envoy an invaluable asset for any microservices architecture.

An open-source, comprehensive microservice framework offers exceptional performance right out of the box, ensuring compatibility with widely-used ecosystems and support for multiple programming languages. It provides a service contract guarantee via OpenAPI, enabling rapid development through one-click scaffolding that accelerates the creation of microservice applications. The framework's ecological extensions accommodate various development languages, including Java, Golang, PHP, and NodeJS. Apache ServiceComb stands out as an open-source microservices solution, featuring numerous components that can be adapted to diverse scenarios through their strategic combination. This guide serves as an excellent resource for beginners looking to quickly familiarize themselves with Apache ServiceComb, making it an ideal starting point for first-time users. By decoupling programming and communication models, developers can easily integrate any necessary communication methods, allowing them to concentrate solely on APIs during the development process and seamlessly switch communication models when deploying their applications. This flexibility empowers developers to create robust microservices tailored to their specific needs.

The product's documentation aims to utilize language that is free from bias. Within this context, bias-free language is characterized as terminology that avoids any form of discrimination related to age, disability, gender, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality. However, there may be instances in the documentation where exceptions occur, such as when language is embedded in the product's software user interfaces, derived from request for proposal (RFP) documents, or quoted from third-party products. For further insights, explore how Cisco is committed to implementing Inclusive Language practices. As digital transformation accelerates, organizations are increasingly embracing cloud-native architectures. Applications that utilize a microservices approach distribute software functions across several independently deployable services, allowing for more efficient maintenance, testing, and faster updates. This shift not only enhances operational agility but also supports the evolving needs of modern businesses.

In today's landscape, businesses are increasingly automating their operations by linking numerous applications through direct APIs, SaaS marketplaces, third-party tools, and hyperautomation platforms, thereby establishing a SaaS to SaaS supply chain. This interconnected supply chain facilitates the transfer of data and permissions through an ever-growing network characterized by indiscriminate and shadow connectivity, which in turn amplifies the potential risks from supply chain attacks, misconfigurations, and data leaks. To mitigate these challenges, it is essential to bring SaaS to SaaS connectivity into the open and thoroughly map the associated risk surface. Organizations should proactively identify and notify stakeholders of risky alterations, new integrations, and unusual data flows. Additionally, implementing zero trust principles across the SaaS to SaaS supply chain, along with effective governance and policy enforcement, is crucial. This approach ensures rapid, ongoing, and unobtrusive management of the SaaS to SaaS supply chain's risk surface. Furthermore, it enhances collaboration between business application teams and enterprise IT security teams, fostering a more secure and efficient operational environment. By prioritizing these measures, organizations can better protect themselves against emerging cyber threats.

Istio is an innovative open-source technology that enables developers to effortlessly connect, manage, and secure various microservices networks, irrespective of the platform, origin, or vendor. With a rapidly increasing number of contributors on GitHub, Istio stands out as one of the most prominent open-source initiatives, bolstered by a robust community. IBM takes pride in being a founding member and significant contributor to the Istio project, actively leading its Working Groups. On the IBM Cloud Kubernetes Service, Istio is available as a managed add-on, seamlessly integrating with your Kubernetes cluster. With just one click, users can deploy a well-optimized, production-ready instance of Istio on their IBM Cloud Kubernetes Service cluster, which includes essential core components along with tools for tracing, monitoring, and visualization. This streamlined process ensures that all Istio components are regularly updated by IBM, which also oversees the lifecycle of the control-plane components, providing users with a hassle-free experience. As microservices continue to evolve, Istio's role in simplifying their management becomes increasingly vital.

Netmaker is an innovative open-source solution founded on the advanced WireGuard protocol. It simplifies the integration of distributed systems, making it suitable for environments ranging from multi-cloud setups to Kubernetes. By enhancing Kubernetes clusters, Netmaker offers a secure and versatile networking solution for various cross-environment applications. Leveraging WireGuard, it ensures robust modern encryption for data protection. Designed with a zero-trust architecture, it incorporates access control lists and adheres to top industry standards for secure networking practices. With Netmaker, users can establish relays, gateways, complete VPN meshes, and even implement zero-trust networks. Furthermore, the tool is highly configurable, empowering users to fully harness the capabilities of WireGuard for their networking needs. This adaptability makes Netmaker a valuable asset for organizations looking to strengthen their network security and flexibility.

Quickly establish common application architectures with scalable, production-ready, and secure infrastructure-as-code (IaC) templates. You can automate your deployments using a single command, and set up the delivery pipeline from your code repository to the environment of your application. Take advantage of comprehensive workflows to build, release, and manage all of your microservices through one unified tool. AWS Copilot serves as a command line interface that facilitates the rapid launch and management of containerized applications on AWS. It makes the process of running applications on Amazon Elastic Container Service (ECS), AWS Fargate, and AWS App Runner much more straightforward. By automatically provisioning infrastructure, scaling resources, and optimizing costs, it streamlines operations, allowing you to concentrate on application development instead of cluster management. With just one command, you can create, release, and operate robust containerized applications and services on Amazon Elastic Container Service (ECS) and AWS Fargate, enhancing both efficiency and productivity in your development workflow. This approach not only saves time but also reduces the complexity involved in managing multiple services, enabling developers to focus on what truly matters: delivering exceptional applications.

AWS CodeDeploy is a comprehensive deployment service that streamlines the process of delivering software to various compute platforms, including Amazon EC2, AWS Fargate, AWS Lambda, and on-premises servers. By utilizing AWS CodeDeploy, you can efficiently introduce new features while minimizing downtime associated with application updates, as it simplifies the complexities of the deployment process. This service automates software deployments, reducing the reliance on manual methods that are often prone to errors. Additionally, AWS CodeDeploy is designed to scale according to your deployment requirements, ensuring flexibility as your needs evolve. It is compatible across different platforms and programming languages, providing a consistent experience for deployments, regardless of whether you're using Amazon EC2, AWS Fargate, or AWS Lambda. Existing setup code can be easily reused, facilitating a smoother transition. Furthermore, CodeDeploy seamlessly integrates with your current software release strategies or continuous delivery pipelines, such as AWS CodePipeline, GitHub, and Jenkins, enhancing your overall development workflow. This integration capability allows teams to maintain productivity while adopting automated deployment strategies.

AWS Batch provides a streamlined solution for developers, scientists, and engineers to efficiently execute a vast number of batch computing tasks on the AWS platform. It automatically allocates the right amount and type of computing resources, such as instances optimized for CPU or memory, tailored to the specific needs and volume of the submitted jobs. This means that users do not have to worry about the complexities of installing or managing batch computing software or server infrastructures, allowing them to concentrate on analyzing outcomes and addressing challenges. AWS Batch is capable of planning, scheduling, and executing batch workloads by leveraging the entire suite of AWS compute services, including AWS Fargate, Amazon EC2, and Spot Instances. Importantly, there are no extra fees associated with using AWS Batch; users only incur costs for the AWS resources they utilize, like EC2 instances or Fargate jobs, to execute and store their batch jobs. This efficient resource management not only saves time but also reduces operational overhead for organizations.

TriggerMesh envisions a future where developers increasingly create applications as a connected network of cloud-native functions and services, integrating resources from various cloud providers along with on-premises systems. This kind of architecture is seen as optimal for agile businesses striving to offer seamless digital experiences to their users. As the pioneer in utilizing Kubernetes and Knative, TriggerMesh facilitates application integration that spans both cloud environments and on-premises infrastructure. With the capabilities offered by TriggerMesh, enterprises can streamline their workflows by linking applications, cloud services, and serverless functions efficiently. The rise of cloud-native applications has led to an explosion in the number of functions distributed across diverse cloud platforms. TriggerMesh effectively dismantles the barriers between different cloud environments, ensuring genuine cross-cloud portability and interoperability for modern businesses. This approach not only enhances flexibility but also empowers organizations to innovate without being restricted by their infrastructure choices.

Nextdata is an innovative operating system for data meshes that aims to decentralize the management of data, empowering organizations to effectively create, share, and oversee data products across diverse stacks and formats. By packaging data, metadata, code, and policies into versatile containers, it streamlines the data supply chain, guaranteeing that data remains useful, secure, and easily discoverable. The platform includes built-in automated policy enforcement as code, which consistently monitors and upholds data quality and compliance standards. It is designed to integrate flawlessly with existing data architectures, enabling users to configure and provision data products according to their requirements. Supporting the processing of data from any source and in any format, Nextdata facilitates advanced analytics, machine learning, and generative AI applications. Furthermore, it automatically generates and updates real-time metadata and semantic models throughout the lifecycle of the data product, significantly improving both discoverability and usability. By doing so, Nextdata not only simplifies complex data interactions but also enhances collaborative efforts within organizations, fostering a more data-driven culture.

AWS Thinkbox Sequoia is a dedicated software application designed for processing point clouds and creating meshes, and it is compatible with Windows, Linux, and macOS platforms. The application can handle point cloud and mesh data in a variety of widely-used formats, efficiently converting point cloud information into a streamlined and rapid-access intermediate cache format. Sequoia incorporates advanced workflows that prioritize the retention of high-precision data, enabling users to visualize all or selected portions of the point cloud through adaptive, view-dependent techniques. Users have the ability to manipulate, trim, and alter point cloud data, create meshes from the point clouds, and enhance the quality of the generated meshes. Additionally, the software facilitates the projection of images onto points and meshes, as well as the creation of mesh vertex colors, Ptex, or UV-based textures derived from the colors of the point clouds and image projections. Moreover, it allows for the export of the generated meshes to various industry-standard mesh file formats and seamlessly integrates with Thinkbox Deadline, enabling the conversion, meshing, and export of point cloud data across network nodes, thereby improving productivity and efficiency in 3D modeling tasks. In doing so, Sequoia ultimately enhances the overall workflow for professionals working with complex spatial data.

Safeguard your applications against prevalent web threats like SQL injection and cross-site scripting by implementing robust defenses. Tailor the monitoring of your web applications with personalized rules and rule collections to align with your specific needs while preventing false positives. Leverage application-level load balancing and routing within Azure to establish a scalable and highly reliable web interface. Autoscaling capabilities allow for dynamic adjustments by automatically modifying Application Gateway instances in response to fluctuations in web traffic. Moreover, Application Gateway seamlessly integrates with various Azure services to enhance functionality. Azure Traffic Manager facilitates redirection across multiple regions, ensuring automatic failover and maintenance without downtime. In your back-end infrastructures, you can utilize Azure Virtual Machines, virtual machine scale sets, or the Web Apps option provided by Azure App Service. For comprehensive oversight, Azure Monitor and Azure Security Center deliver centralized monitoring, alert notifications, and an application health dashboard. Additionally, Key Vault enables centralized management and the automatic renewal of SSL certificates, ensuring your web applications remain secure. By employing these features, you can significantly bolster the security and efficiency of your web applications in the cloud.

AWS CloudFormation is a tool designed for provisioning and managing infrastructure, enabling users to create templates that define a collection of AWS resources for deployment. These templates not only facilitate version control of your infrastructure but also allow for the rapid and consistent replication of your infrastructure stacks. You can easily define components such as Amazon Virtual Private Cloud (VPC) subnets, or manage services like AWS OpsWorks and Amazon Elastic Container Service (ECS) without hassle. Whether you're running a single Amazon Elastic Compute Cloud (EC2) instance or a sophisticated multi-region application, the service provides flexibility. It also supports the automation, testing, and deployment of infrastructure templates through continuous integration and delivery (CI/CD) processes. By treating infrastructure as code, AWS CloudFormation empowers users to model, provision, and manage both AWS and third-party resources efficiently. This approach significantly accelerates the cloud provisioning process and enhances operational efficiency in resource management.

Many users leverage Amazon Managed Service for Apache Flink to execute stream processing applications efficiently. This service allows for real-time transformation and analysis of streaming data utilizing Apache Flink, while seamlessly integrating with a variety of other AWS services. There is no need to manage servers and clusters, nor is there any requirement to establish computing and storage infrastructure. You only incur charges for the resources you utilize, making it cost-effective. You can build and operate Apache Flink applications without the hassle of setting up infrastructure or overseeing resources and clusters. This platform enables the processing of vast amounts of data at incredible speeds, achieving subsecond latencies, and facilitating real-time event responses. Additionally, you can deploy robust and reliable applications using Multi-AZ deployments, along with APIs designed for managing application lifecycles. Furthermore, it supports the development of applications that can transform and distribute data to various services, including Amazon Simple Storage Service (Amazon S3) and Amazon OpenSearch Service, among others. By utilizing this managed service, businesses can focus more on their applications rather than the underlying architecture.

AWS App2Container (A2C) is a command line utility designed to facilitate the migration and modernization of Java and .NET web applications by converting them into container formats. The tool performs an analysis and generates a comprehensive inventory of applications that are either hosted on bare metal, virtual machines, Amazon Elastic Compute Cloud (EC2) instances, or deployed in cloud environments. By streamlining application development and consolidating operational skill sets, organizations can significantly reduce their infrastructure and training expenses. The modernization process is expedited through automatic application analysis and the generation of container images without requiring code alterations. This allows for the containerization of applications located in on-premises data centers seamlessly. Companies can efficiently migrate and upgrade their legacy applications while standardizing both deployment and operational procedures. Furthermore, AWS A2C offers CloudFormation templates for configuring essential compute, network, and security infrastructure. To enhance development workflows, it also provides pre-built continuous integration and delivery (CI/CD) pipelines tailored for AWS DevOps services, ensuring a smoother transition to cloud-native architectures. This comprehensive toolset empowers businesses to embrace modern application development practices more readily.

Amazon Elastic Block Store (EBS) offers a user-friendly, high-performance block-storage solution specifically tailored for Amazon Elastic Compute Cloud (EC2), accommodating both throughput and transaction-heavy applications across various scales. It is commonly utilized for a diverse array of workloads, including relational and non-relational databases, enterprise software, containerized solutions, big data analysis tools, file systems, and media processing tasks. Users can select from six distinct volume types to find the right balance between cost and performance. With EBS, it's possible to achieve single-digit millisecond latency for demanding database applications like SAP HANA, or sustain gigabyte-per-second throughput for extensive, sequential tasks such as those conducted by Hadoop. Additionally, users can modify volume types, optimize performance, or expand volume size seamlessly without interrupting critical operations, ensuring they have an affordable storage solution available whenever needed. This flexibility makes Amazon EBS an ideal choice for businesses looking to adapt their storage to meet evolving demands.

The SaaS Startup Kit is an open-source initiative that provides a suite of Go (Golang) libraries and boilerplate code tailored for the efficient development of scalable software-as-a-service (SaaS) applications. This project includes a fully responsive web application with integrated user authentication features, such as sign-up and login options, while also enabling create, read, update, and delete (CRUD) functionalities. In addition, the kit boasts a RESTful API that utilizes JSON Web Token (JWT) for secure authentication, accompanied by automatically generated documentation through Swagger. To enhance user interface design, it incorporates Bootstrap, facilitating the development of responsive, mobile-first applications. Deployment processes are simplified by utilizing serverless infrastructure on Amazon Web Services (AWS), with continuous integration and deployment pipelines established via GitLab CI/CD. By offering these essential components and integrations, the SaaS Startup Kit not only minimizes repetitive development tasks but also empowers developers to concentrate on their distinctive business logic, ultimately speeding up the introduction of new software services. Furthermore, this comprehensive toolkit allows for greater flexibility and innovation in creating diverse SaaS solutions tailored to varying market needs.

The open-source platform designed for the processing and editing of 3D triangular meshes offers an array of tools for various tasks, such as editing, cleaning, healing, inspecting, rendering, texturing, and converting these meshes. It includes capabilities for handling raw data generated by 3D digitization devices and for preparing models suitable for 3D printing applications. In the latest update, support has been added for multiple file formats (.gltf, .glb, .nxs, .nxz, .e57), along with the introduction of a new plugin dedicated to precise mesh boolean operations. A critical phase in the workflow for handling 3D scanned data is the 3D data alignment process, often referred to as registration. MeshLab equips users with robust tools to align various meshes within a unified reference framework, effectively managing extensive sets of range maps. Additionally, it features a finely-tuned Iterative Closest Point (ICP) algorithm for one-to-one alignment, which is complemented by a global bundle adjustment step to optimize error distribution. Users can perform this alignment on both meshes and point clouds obtained from a variety of sources, including active scanners, whether they operate over short or long ranges. This versatility enhances the overall functionality and effectiveness of the tool in 3D data processing.

It’s impossible for anyone to address every issue that requires attention. Often, the problems that do get resolved were never vulnerable to begin with. Dismiss the distractions and concentrate on what truly counts. Our premier exploit prevention system ensures that your services operate securely and cost-effectively around the clock. Utilize our AI-enhanced collaborative remediation processes to facilitate teamwork among diverse teams, complete with automated tracking of progress, notifications, and reporting features. By linking application-level vulnerabilities with infrastructure misconfigurations, you can pinpoint and address exploitable attack vectors throughout your entire attack landscape. This comprehensive approach not only protects your assets but also enhances overall operational efficiency.

iTwin Capture Modeler is an all-encompassing desktop application crafted by Bentley Systems, aimed at producing engineering-ready reality data specifically tailored for infrastructure initiatives. This powerful tool allows users to create high-quality 3D models, including reality meshes, point clouds, and orthophotos, utilizing either standard photographs or LiDAR point clouds, thereby providing an accurate digital context essential for design, construction, and operational processes. Suitable for projects of all sizes, from simple items to expansive urban areas, the software comes equipped with sophisticated features such as masks, water constraints, and retouching tools to refine the reality data. Available in both a standard edition and the iTwin Capture Modeler Center, the latter facilitates unlimited clustering to streamline the processing of extensive projects. Furthermore, the application guarantees seamless interoperability by supporting a diverse array of GIS formats, thereby ensuring its smooth integration into various workflows. With its robust capabilities, iTwin Capture Modeler stands out as an invaluable asset for professionals in the field.

Automated post-processing techniques, like 'hot-spot extraction', can cut down post-processing time from several hours to just a few minutes. The introduction of DEP MeshWorks has made it possible to conduct thorough design reviews by consolidating all identified hot spots into a single model, which aids in making necessary design modifications to eliminate these issues. Using DEP MeshWorks for weight optimization on the Yoke component of construction equipment showcases its effectiveness. Thanks to its innovative Auto-parametrization technology, models created in DEP MeshWorks seamlessly transition into parametric CAE models, allowing for swift design alterations. Furthermore, the Associative Modeler ensures that CAE models are promptly updated in response to CAD modifications, significantly minimizing the time needed for revisions. Additionally, a morphing and scaling method is utilized to create both standard and non-standard percentile human Body FE models, further enhancing the versatility of DEP MeshWorks in advanced simulations.