Alternatives to AWS App Mesh

Amazon Elastic Container Service (Amazon ECS), is a fully managed container orchestration and management service. ECS is used by customers such as Duolingo and Samsung, GE and Cook Pad to run their most sensitive and critical mission-critical applications. It offers security, reliability and scalability. ECS is a great way to run containers for a variety of reasons. AWS Fargate is serverless compute for containers. You can also run ECS clusters with Fargate. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. ECS is also used extensively in Amazon to power services like Amazon SageMaker and AWS Batch. It is also used by Amazon.com's recommendation engines. ECS is extensively tested for reliability, security, and availability.

Amazon Elastic Compute Cloud (Amazon EC2) provides secure, resizable cloud computing capacity. It was designed to make cloud computing at web scale easier for developers. Amazon EC2's web service interface makes it easy to configure and obtain capacity with minimal effort. It gives you complete control over your computing resources and allows you to run on Amazon's proven computing environment.

Amazon Elastic Kubernetes Service is a fully managed Kubernetes services. EKS is trusted by customers such as Intel, Snap and Intuit. It also supports GoDaddy and Autodesk's mission-critical applications. EKS is reliable, secure, and scaleable. EKS is the best place for Kubernetes because of several reasons. AWS Fargate is serverless compute for containers that you can use to run your EKS clusters. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources and improves security by application isolation by design. EKS is also integrated with AWS Identity and Access Management, AWS CloudWatch, Auto Scaling Groups and AWS Identity and Access Management, IAM, and Amazon Virtual Private Cloud (VPC), allowing you to seamlessly monitor, scale, and load balance your applications.

AWS Fargate, a serverless compute engine that runs containers, works with both Amazon Elastic Container Service and Amazon Elastic Kubernetes Service. Fargate makes it simple for you to concentrate on building your applications. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources. Fargate also improves security by application isolation by design. Fargate allocates the correct amount of compute, eliminating the need for instances to scale cluster capacity and choosing instances. You only pay for what you use to run your containers. There is no need to over-provision or purchase additional servers. Fargate runs each task and pod in its own kernel, giving them their own isolated computing environment. This allows your application to be isolated from the workload and provides greater security by design.

Amazon CloudFront (CDN) is a fast content delivery network that delivers data, videos, and APIs to customers worldwide with low latency and high transfer speeds. It's also a developer-friendly service. CloudFront integrates with AWS. CloudFront can be used in both physical locations that are directly connected with the AWS global infrastructure as well as other AWS services. CloudFront integrates seamlessly with AWS Shield, Amazon S3, Elastic Load Balancing, or Amazon EC2 as origins of your applications. Lambda@Edge allows you to run custom code closer and customize the user experience. Lastly, if your AWS origins include Amazon S3, Amazon EC2 and Elastic Load Balancing you don't have to pay for data transferred between CloudFront and these services.

Amazon Route 53 is a cloud Domain Name System (DNS), web service that is highly available and scalable. It's designed to provide developers and businesses with a cost-effective and reliable way to route end users to Internet services. It does this by translating names into numeric IP addresses such as 192.0.2.1, which computers use to connect to each another. Amazon Route 53 is also fully compatible with IPv6. Amazon Route 53 connects user requests to AWS infrastructure, such as Amazon EC2 instances or Elastic Load Balance load balancers. It can also be used for routing users to infrastructure outside AWS. Amazon Route 53 can be used to set up DNS health checks. You can also monitor and control the ability of your applications to recover from failures with Route 53 Application Recovery Control. Amazon Route 53 Traffic Flow makes managing traffic globally easy through a variety routing types.

Connect and manage applications across clouds, clusters, and data centers. From a single management platform, coordinate app connectivity across heterogeneous infrastructure. Integrate legacy workloads into your cloud native application infrastructure. To give teams access to shared infrastructure, define tenants within your company. From day one, audit the history of any changes to shared resources and services. Automate traffic shifting across failure domains, before your customers notice. TSB is located at the application edge, at cluster entry, and between workloads within your Kubernetes or traditional compute clusters. The edge and ingress gateways route traffic and load balance it across clouds and clusters, while the mesh controls connectivity between services. One management plane can configure connectivity, security, observability, and other features for your entire network.

Multi-cloud service networking platform that connects and secures services across any runtime platform or public or private cloud. All services are available in real-time location and health information. With less overhead, progressive delivery and zero trust security. You can rest assured that all HCP connections have been secured right out of the box.

There are many benefits to designing your applications as microservices. As your workloads grow, they can become more complex and fragmented. Anthos Service Mesh, Google's implementation for the powerful Istio open-source project, allows you to manage, observe and secure services without having your application code modified. Anthos Service Mesh makes service delivery easier, from managing mesh traffic and telemetry to protecting communications between services. This significantly reduces the burden on operations and development teams. Anthos Service Mesh, Google's fully managed service mesh allows you to manage complex environments and reap all of the benefits. Anthos Service Mesh is a fully managed service that takes the hassle out of managing and purchasing your service mesh solution. Let us manage the mesh while you focus on building great apps.

Linkerd adds critical security and observability features to your Kubernetes cluster. No code changes are required. Linkerd is 100% Apache licensed, with a growing, active, and friendly community. Linkerd's Rust-based data plane proxy servers are extremely small (10MB) and lightning fast (p991ms). No complicated APIs or configuration. Linkerd "just works" for most applications. Linkerd's control plan installs in a single namespace and services can safely be added to the mesh one at a while. A comprehensive suite of diagnostic tools is available, including live traffic samples and automatic service dependency maps. You can monitor golden metrics such as success rate, request volume and latency for every service with best-in-class observation.

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 is an Istio management console. Kiali can be installed quickly as an Istio addon or trusted as part of your production environment. Kiali wizards can be used to create application and request routing configurations. Kiali offers Actions to update, delete, and create Istio configurations. These actions are driven by wizards. Kiali provides a comprehensive set of service actions with accompanying wizards. Kiali offers detailed views and a list of all your mesh components. Kiali offers filtered list views for all service mesh definitions. Each view includes health, details, YAML definitions, and links to help visualize your mesh. The default tab for any detail page is Overview. The overview tab contains detailed information such as health status and a mini-graph of current traffic to the component. The type of component will vary the number of tabs and the details.

F5 Aspen Mesh empowers businesses to get more performance out of their modern app environments by leveraging their service mesh. As part of F5, Aspen Mesh focuses on delivering enterprise products that enhance modern app environments. Microservices help you deliver new features and differentiate yourself faster. Aspen Mesh allows you to do this at scale and with confidence. Reduce downtime risk and improve customer experience. Aspen Mesh can help you make the most of your distributed systems if you're scaling up microservices for production on Kubernetes. Aspen Mesh enables companies to get more performance out of their modern app environment using their service mesh. Alerts that reduce the risk of failure or performance degradation in applications based on machine learning and data. Secure Ingress exposes enterprise apps safely to customers and web.

Your service mesh will be managed without any effort. Service mesh is an abstraction that's becoming increasingly popular to deliver modern applications and microservices. The service mesh data plane with Envoy service proxies moves traffic around, while the service mesh control plan provides policy, configuration and intelligence to these service proxy proxies. Traffic Director is GCP’s fully managed traffic control plan for service mesh. Traffic Director allows you to easily deploy global load balancing across clusters or VM instances in multiple locations, offload health checks from service proxies, as well as configure complex traffic control policies. Traffic Director uses open xDSv2 interfaces to communicate with service proxies in data plane. This ensures that you don't have to use a proprietary interface.

Open-source control plane for service mesh. It provides security, observability and routing. Kuma, built on top of Envoy is a modern control plan for Microservices & Service Mesh, both for VMs and K8s. It supports multiple meshes within a cluster. The L4 + L7 policy architecture is out of the box to enable zero trust security and traffic reliability. Kuma is easy to set up and use. Kuma is natively embedded with Envoy proxy. It provides easy-to-use policies that can secure and observe, connect, route, and improve service connectivity for all applications and services, including databases. Modern service and application connectivity can be built across any platform, cloud, and architecture. Kuma supports Kubernetes environments, Virtual Machine workloads, and modern Kubernetes environments in the same cluster. Kuma also provides native multi-cloud connectivity and multi-cluster connectivity that can support the entire organization.

Traefik Mesh allows visibility and management to all traffic flows within any Kubernetes cluster. It is simple to set up and easy-to-use. This allows for better monitoring, logging, visibility, and access control. Administrators can quickly and easily increase security in their clusters. Administrators can monitor and trace the communication between applications in Kubernetes clusters. This allows them to optimize internal communications and improve application performance. It is easier to implement and provides value for the time spent actually implementing by reducing the time required to install, configure, and learn. Administrators can concentrate on their business applications. Open source means there is no vendor lock-in. Traefik Mesh can be opted-in by design.

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.

Kuma Enterprise Service Mesh based on Kuma to multi-cloud and multi cluster on Kubernetes as well as VMs. You can deploy with one command. With built-in service discovery, connect to other services automatically. This includes an Ingress resource as well as remote CPs. Support for any environment, including multicluster, multicloud, and multiplatform on Kubernetes as well as VMs. Native mesh policies can be used to accelerate initiatives such as zero-trust or GDPR, and improve the efficiency and speed of each application team. A single control plane can scale horizontally to multiple data planes, support multiple clusters, or even hybrid service meshes that run on Kubernetes and both VMs. Envoy-based ingress deployments on Kubernetes or VMs can simplify cross-zone communication. You can collect metrics, trace and logs for all L4-L7 traffic using Envoy's 50+ observability charts.

Calisti allows administrators to switch between historical and live views and enables traffic management, security, observability, and traffic management for microservices. Calisti can configure Service Level Objectives (SLOs), burn rates, error budget, and compliance monitoring. It also sends a GraphQL Alert to scale automatically based on SLO burnrate. Calisti manages microservices that run on containers and virtual machines. This allows for application migration from VMs into containers in a phased fashion. Management overhead can be reduced by consistently applying policies and meeting both K8s as well as VMs' application Service Level Objectives. Istio releases new versions every three months. Calisti also includes our Istio Operator, which automates lifecycle management and even allows canary deployment of Istio's platform.

Connect, secure, manage, and monitor services. Traffic routing rules in Istio allow you to control traffic flow and API calls between services. Istio makes it easier to configure service-level properties such as circuit breakers, timeouts and retries. It also makes it simple to set up important tasks such as A/B testing, canary rollsouts and staged rollouts that are percentage-based. It also offers out-of-box disaster recovery features that make your application more resilient against network or dependent services failures. Istio Security offers a comprehensive security solution that addresses these issues. This page outlines how Istio Security features can be used to protect your services, no matter where they are hosted. Istio security protects your data, communications, and platform from both insider threats and outsider attacks. Istio provides detailed telemetry for all service communications within the mesh.

NGINX Service Mesh is always free and can scale from open-source projects to a fully supported enterprise-grade solution. NGINX Service Mesh gives you control over Kubernetes. It features a single configuration that provides a unified data plan for ingress and exit management. NGINX Service Mesh's real star is its fully integrated, high-performance Data Plan. Our data plane leverages the power of NGINX Plus in order to operate highly available, scalable containerized environments. It offers enterprise traffic management, performance and scalability that no other sidecars could offer. It offers seamless and transparent load balancing and reverse proxy, traffic routing and identity as well as encryption features that are required for high-quality service mesh deployments. It can be paired with NGINX Plus-based NGINX Ingress Controller to create a unified data plan that can be managed from one configuration.

Describe your cloud native infrastructure. Your service mesh configuration and workload deployments are designed. Intelligent canary strategies and performance profiles are possible with service mesh pattern management. Meshery's configuration validater will help you assess your service mesh configuration against deployment. Verify that your service mesh conforms to Service Mesh Interface specifications. Dynamically load and manage WebAssembly filters for Envoy-based service grids. Service mesh adapters configure, provision, and manage their respective service Meshes.

Kubernetes is KuberSphere's kernel. KubeSphere is a distributed operating platform for cloud-native app management. It allows third-party applications to seamlessly integrate into its ecosystem through a plug-and play architecture. KubeSphere is a multi-tenant, open-source Kubernetes container system with full-stack automated IT operations. It also has streamlined DevOps workflows. It offers a wizard web interface that is easy to use for developers, allowing enterprises to create a robust and feature-rich Kubernetes platform. This includes all the common functions required for enterprise Kubernetes strategy development. Open-source Kubernetes platform CNCF-certified, 100% built by the community. It can be deployed on existing Kubernetes clusters or Linux machines. It supports both online and air-gapped installations. Deliver DevOps and service mesh, observability and application management, multi-tenancy storage, networking management, and other services in a single platform.

You can deploy your applications using containers, VMs or serverless. It also allows you to easily implement auto scaling, fault diagnosis, performance analysis and fault diagnosis. Supports native Spring Cloud, Dubbo frameworks, and Service Mesh. It provides all-scenario capabilities and supports mainstream languages like Java, Go and PHP. Supports cloud-native transformations of Huawei core services. This ensures that they meet strict performance, usability, security compliance, and compliance requirements. Common components, running environments, and development frameworks are available for web, mobile, and AI apps. The entire process of managing applications, including deployment and upgrading, is fully managed. Monitoring, alarms, logs and tracing diagnosis are all possible. The integrated AI capabilities make O&M simple. With just a few clicks, you can create a flexible and customizable application delivery pipeline.

Fully managed Linkerd right on your cluster. A service mesh should not require a team. Buoyant Cloud manages Linkerd for you so that you don’t have to. Automate the work. Buoyant Cloud automatically updates your Linkerd control and data planes with the most recent versions. It handles installs, trust anchor rotation and many other tasks. Automate upgrades and installs. Keep proxy versions of data plane in sync. Rotate TLS trust anchors quickly without breaking a sweat. Never get taken unaware. Buoyant Cloud constantly monitors the health and alerts you proactively if there are any potential problems. Monitor service mesh health automatically. Get a global view of Linkerd's behavior across all clusters. Linkerd best practices can be monitored and reported. Don't complicate things by adding layers of complexity to your solution. Linkerd works and Buoyant Cloud makes Linkerd even easier.

Software-defined load balancers and container ingress services simplify application delivery for any application, in any datacenter and cloud. Simplify administration by implementing centralized policies that ensure operational consistency in hybrid clouds and on-premises datacenters, including VMware Cloud, AWS, Azure and Google Cloud. Self-service enables DevOps to free infrastructure teams from manual tasks. The toolkits for application delivery automation include Python SDKs, RESTful APIs and Terraform and Ansible integrations. With real-time monitoring of application performance, closed-loop analysis and deep machine-learning, you can gain unprecedented insights into network, end-users and security.

ARMO provides total security to in-house data and workloads. Our patent-pending technology protects against security overhead and prevents breaches regardless of whether you are using cloud-native, hybrid, legacy, or legacy environments. ARMO protects each microservice individually. This is done by creating a cryptographic DNA-based workload identity and analyzing each application's unique signature to provide an individualized and secure identity for every workload instance. We maintain trusted security anchors in protected software memory to prevent hackers. Stealth coding-based technology blocks any attempts to reverse engineer the protection code. It ensures complete protection of secrets and encryption keys during use. Our keys are not exposed and cannot be stolen.

A common flat vL3 domain allowing DBs running in multiple clusters/clouds/hybrid to communicate just with each other for DB replication. Multiple companies can connect to a single 'collaborative 'Service Mesh for cross-company interactions. Each workload has one option for which connectivity domain it should be connected to. Only workloads within a particular runtime domain can be part of its connectivity area. Connectivity Domains are strongly coupled to Runtime Domains. Cloud Native's central tenant is Loose Coupling. Loosely Coupled systems allow each workload to continue receiving service from other providers. It doesn't matter in what Runtime Domain a workload runs in. It is irrelevant to its communications requirements. Workloads that are part the same App require Connectivity between them, regardless of where they are located.

On the ground, microservice practitioners quickly realized that the majority of operational issues that arise from moving to a distributed architecture are rooted in two areas: networking as well as observability. It is a much more difficult task to network and troubleshoot a collection of interconnected distributed services than a single monolithic app. Envoy is a high-performance, self-contained server with a small memory footprint. It can be used alongside any framework or application language. Envoy supports advanced load balance features such as automatic retries and circuit breaking, global rate limit, request shadowing, zone load balancing, request shadowing, global rate limiting, circuit breaking, circuit breaking, and global rate limiting. Envoy offers robust APIs to dynamically manage its configuration.

Open-source, full-stack microservice solution. High performance, compatible with popular ecology and multi-language support. OpenAPI is the basis of a service contract guarantee. One-click scaffolding is available right out of the box. This speeds up the creation of microservice applications. The ecological extension supports multiple development languages such as Java/Golang/PHP/NodeJS. Apache ServiceComb is an open source solution for microservices. It is made up of multiple components that can be combined to adapt to different situations. This guide will help you quickly get started with Apache ServiceComb. It is the best place to begin your first attempt at Apache ServiceComb. To separate the communication and programming models. This allows a programming model to be combined with other communication models as required. Developers of application software only need to be focused on APIs during development. They can switch communication models during deployment.

This product documentation is written in a neutral language. Bias-free language is not discriminatory based on gender, age, disability, gender identity, racial identity or ethnic identity, nor on socioeconomic status. There may be exceptions in the documentation due language that is hardcoded into the user interfaces of product software, language based on RFP documentation or language that is used in a third-party product. Learn more about Cisco's Inclusive Language. Businesses are adopting cloud-native architectures due to the increasing demand for digital transformation. Microservice-based apps are software applications that combine multiple services to provide functionality. They are easier to deploy, test and maintain, and can be updated more quickly.

Organizations can automate their business processes today by integrating hundreds if not all applications via APIs, SaaS Marketplaces and third-party app. Hyperautomation platforms also allow for integration of hundreds of apps through direct APIs, SaaS markets and third-party apps. This creates a SaaS-to SaaS supply chain. The supply chain allows data and privilege exchange via an expanding network indiscriminate or shadow connectivity. This increases the risk of supply chain attacks, misconfigurations, and data exposure. SaaS to SaaS connectivity can be brought out of the shadows. Alert on suspicious data flows, new integrations, and risky changes. With governance and enforcement, you can extend zero trust principles to your SaaS-to-SaaS supply chain. Provides SaaS-to-SaaS supply chain risk management that is continuous, non-intrusive and fast. Facilitates collaboration between enterprise IT security teams and business application teams.

Istio is an open-source technology that allows developers to seamlessly connect, manage, and secure networks of microservices from different vendors, regardless of platform or source. Istio, a Github-based open-source project, is one of the fastest growing. Its strength is its community. IBM is proud to have been a contributor to the Istio project, and to have led Istio Working Groups. Istio on IBM Cloud Kubernetes Service can be added as a managed addon. It integrates Istio directly into your Kubernetes cluster. One click installs a tuned, production-ready Istio instance in your IBM Cloud Kubernetes Service Cluster. One click launches Istio core components, tracing, monitoring, and visualization tools. IBM Cloud manages the lifecycle of control-plane components and updates all Istio parts.

Netmaker is an open-source tool that uses the WireGuard protocol. Netmaker unifies distributed environments seamlessly, from multi-cloud to Kubernetes. Netmaker provides flexible and secure networking that allows for cross-environment scenarios. This enhances Kubernetes clusters. WireGuard is used by Netmaker for secure encryption. It was designed with zero trust in the mind, uses access control lists, follows industry standards, and uses WireGuard for secure networking. Netmaker allows you to create relays and gateways, full VPN meshes and even zero trust networks. Netmaker can be configured to maximize Wireguard's power.

Build common application architectures quickly with scalable, production-ready, and secure infrastructure-as-code (IaC) templates. Automate deployments using a single command and configure the delivery pipeline to connect a code repository with your application's environment. Use end-to-end processes to build, release and operate your microservices with a single tool. AWS Copilot provides a command-line interface to launch and manage containerized AWS applications. It simplifies the running of applications on Amazon Elastic Container Service, AWS Fargate and AWS App Runner. Simplify operations with automatic provisioning of infrastructure, scaling resources and optimizing costs. This allows you to focus more on applications than cluster management. Create, release and operate production-ready containers and services using Amazon Elastic Container Service and AWS Fargate in one command.

AWS CodeDeploy automates software deployments to a variety compute services, including Amazon EC2, AWS Fargate and AWS Lambda. AWS CodeDeploy allows you to quickly release new features, avoid downtime during application installation, and manages the complexity of updating your apps. AWS CodeDeploy can automate software deployments and eliminate the need to perform manual, error-prone operations manually. The service can scale to meet your deployment requirements.

AWS Batch allows scientists, engineers, and developers to run hundreds of thousands upon thousands of batch computing jobs on AWS. AWS Batch dynamically provision the best type and quantity of compute resources (e.g. CPU or memory optimized instances) according to the volume and specific resource needs of batch jobs submitted. AWS Batch eliminates the need to install or manage batch computing software, server clusters, or other hardware. This allows you to concentrate on analysing results and solving problems. AWS Batch schedules, executes and plans your batch computing workloads across all AWS compute services and features such as AWS Fargate and Amazon EC2 to help you analyze results and solve problems. AWS Batch is free. AWS Batch only charges for AWS resources (e.g. You only pay for the AWS resources (e.g. Fargate jobs or EC2 instances) that you use to store and manage your batch jobs.

TriggerMesh believes that developers will increasingly create applications using a mix of cloud-native functions, services from multiple cloud providers, and on-premises. This architecture allows agile businesses to create seamless digital experiences. TriggerMesh, the first product to leverage Kubernetes/Knative to allow application integration on-premises and in clouds, is TriggerMesh. TriggerMesh allows you to automate enterprise workflows through the integration of applications, cloud services and serverless functions. Cloud-native apps are becoming more popular. The number of functions hosted on different cloud infrastructures is increasing. TriggerMesh dismantles cloud silos to allow true cross-cloud portability.

AWS Thinkbox is a standalone application that can be used for point cloud processing, meshing and meshing on Windows, Linux and macOS. It accepts point clouds and mesh data in a variety of industry-standard formats. Point cloud data is converted into a compact, fast-accessible intermediate cache format. Sequoia uses intelligent workflows that retain high-precision information efficiently. It displays all or a portion of the point clouds using adaptive views-dependent methods. Users can transform, cull and modify point cloud information, generate meshes out of point clouds, and optimize those meshes. The software allows users to project images onto meshes and points, and generate mesh vertex colors or UV-based texture from point cloud colors. It exports the resulting meshes into industry-standard mesh files and integrates with Thinkbox Deadline for point cloud data conversion and meshing on network nodes.

Nextdata is an operating system for data meshes that decentralizes data management. It allows organizations to create, manage, and share data products across different data stacks and formats. It simplifies the data supply chains by encapsulating metadata, code and policies in portable containers. This ensures that data is useful, secure and discoverable. Code is embedded with automated policy enforcement, evaluating and maintaining data compliance and quality. The system integrates seamlessly into existing data infrastructures and allows configuration and provisioning data products according to need. It allows data to be processed from any source and in any format. This facilitates analytics, machine-learning, and generative AI. Nextdata automatically creates and synchronizes semantic models and real-time metadata throughout the lifecycle of a data product, improving discoverability and usability.

AWS App2Container is a command-line tool that allows you to migrate and modernize Java and.NET applications into container format. AWS A2C analyzes applications running on bare metal, virtual machine, Amazon Elastic Compute Cloud instances (EC2), or in the Cloud. Streamlining application development and operational skills sets will reduce infrastructure costs and training costs. Automate modernization through automatic analysis of applications, and auto-generated container images. Containerize applications running within your datacenter without code changes. Standardize the deployment and operation of your legacy applications. AWS CloudFormation Templates configure the required compute, networking, and security infrastructure. Use pre-created continuous delivery and integration (CI/CD pipelines) for AWS DevOps.

AWS CloudFormation allows you to create resource templates. These templates can be used to specify a set AWS resources to provision. These templates allow you to easily duplicate your infrastructure quickly and easily, as well as version control it.

Amazon Managed Service For Apache Flink is used by thousands of customers to run stream-processing applications. Amazon Managed Service Apache Flink allows you to transform and analyze streaming data using Apache Flink in real-time and integrate applications with AWS services. There are no clusters or servers to manage and no computing infrastructure to install. You only pay for the resources that you use. You can build and run Apache Flink apps without having to manage resources or clusters, or set up infrastructure. Process gigabytes per second, with latencies of subseconds and respond to events instantly. Multi-AZ deployments, APIs for lifecycle management and APIs to manage application lifecycles help you deploy highly available and durable apps. Create applications that transform data and deliver it to Amazon Simple Storage Service (Amazon S3) and Amazon OpenSearch Service.

Protect your web applications from common web vulnerabilities like SQL injection and cross-site Scripting. You can monitor your web applications with custom rules and rule groups that meet your needs and eliminate false positives. To build a highly available and scalable web front end in Azure, you can get application-level load-balancing and routing. Autoscaling allows for flexibility by automatically scaling Application Gateway instances according to your web application traffic load. Application Gateway integrates with many Azure services. Azure Traffic Manager supports multiple-region redirection and automatic failover. It also provides zero-downtime maintenance. Azure Virtual Machines, virtual machines scale sets, and the Web Apps feature from Azure App Service can be used in your back-end pool. Azure Security Center and Azure Monitor provide central monitoring and alerting as well as a dashboard for application health. Key Vault provides central management and automatic renewal SSL certificates.

The SaaS Startup Kit is an open-source project offering a collection of Go (Golang) libraries and boilerplate code to facilitate the development of scalable software-as-a-service applications. It includes a responsive web app with user authentication including sign-up, login, and create, read update and delete (CRUD). The kit includes an RESTful API, JSON Web Token authentication (JWT), and Swagger-generated documentation. It integrates Bootstrap for user interface design. This allows the creation of responsive and mobile-first projects. The deployment is streamlined by using serverless infrastructure in Amazon Web Services (AWS) with continuous integration and delivery pipelines configured through GitLab CI/CD. The SaaS Startup Kit reduces repetitive tasks by offering pre-built components, integrations and allowing developers to concentrate on unique business logic.

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AWS Secrets Manager protects secrets that allow you to access your services, applications, and IT resources. This service allows you to easily manage, retrieve, and rotate database credentials, API keys, as well as other secrets, throughout their lifecycle. Secrets Manager APIs can be called by users and applications to retrieve secrets. This eliminates the need to hardcode sensitive data in plain text. Secrets Manager provides secret rotation with integrated integration for Amazon RDS and Amazon Redshift. The service can also be extended to other types secrets, such as API keys and OAuth tokens. Secrets Manager allows you to manage access to secrets with fine-grained permissions. You can also audit secret rotation centrally for resources in AWS Cloud, third party services, and on-premises. AWS Secrets Manager allows you to safely rotate secrets without the need for code deployments.

Amazon Elastic Block Store is a block-storage service that is easy to use and high-performance. It can be used with Amazon Elastic Compute Cloud, (EC2), for transaction-intensive workloads of any size. Amazon EBS is widely used for a wide range of workloads such as enterprise applications, relational and nonrelational databases, big data analytics engines, file system, and media workflows. To balance price and performance, you can choose from six volume types. You can achieve single-digit-millisecond latency for high-performance database workloads such as SAP HANA or gigabyte per second throughput for large, sequential workloads such as Hadoop. You can modify volume types, tune performance or increase volume size without affecting your critical applications so that you have cost-effective storage whenever you need it.

Automated post-processing such as 'hot-spot-extraction' reduces several hours of post-processing time to a matter of minutes. DEP MeshWorks allows for very effective design review. All hot-spots are merged in one model, which facilitates design improvements that make 'hot spots' disappear. DEP MeshWorks allows for weight optimization of the Yoke component in a construction equipment. Auto-parametrization technology converts meshed models in DEP MeshWorks into parametric CAE models, allowing for rapid design changes. The Associative Modeler in DEP MeshWorks quickly updates CAE models as CAD modifications occur, drastically reducing the time it takes to update models. Scaling and Morphing are used to generate standard and non-standard percentile human Body FE models.

Open source software for editing and processing 3D triangular meshes. It includes tools for editing, cleaning and healing, inspecting, inspecting, inspecting, rendering texturing, texturing, and converting meshes. It can process raw data from 3D digitization devices/tools, and prepare models for 3D printing. This version supports several file formats (.gltf.glb.nxs.nxz.e57) as well as a plugin for exact meshbooleans. The 3D data alignment phase, also known as registration, is an essential step in the process of processing 3D scanned data. MeshLab is a powerful tool that allows you to move the different meshes into one common reference system. It can also manage large range-maps. MeshLab uses a fine-tuned ICP one-to-1 alignment step, followed with a global bundle adjustment error distribution step. The alignment can be done on point clouds and meshes from multiple sources, including active scanners (both short-range and long-range).