Amazon Elastic Container Service (Amazon ECS) Integrations

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.

Sumo Logic is a cloud-based solution for log management and monitoring for IT and security departments of all sizes. Integrated logs, metrics, and traces allow for faster troubleshooting. One platform. Multiple uses. You can increase your troubleshooting efficiency. Sumo Logic can help you reduce downtime, move from reactive to proactive monitoring, and use cloud-based modern analytics powered with machine learning to improve your troubleshooting. Sumo Logic Security Analytics allows you to quickly detect Indicators of Compromise, accelerate investigation, and ensure compliance. Sumo Logic's real time analytics platform allows you to make data-driven business decisions. You can also predict and analyze customer behavior. Sumo Logic's platform allows you to make data-driven business decisions and reduce the time it takes to investigate operational and security issues, so you have more time for other important activities.

eclincher is a social media management platform that offers all-in-one functionality. Amazing features include publishing and scheduling posts, replying to all interactions from one Inbox, monitoring and listening feeds and auto publishing with smart queues. There are also suggestions for content, advanced analytics reporting, post review, team collaboration and more. eclincher is the #1 ROI platform in social media management. 100% Guaranteed to Get Your WOW Reaction! eclincher can be integrated with Facebook, Instagram and Twitter, LinkedIn, Google My Business YouTube, Pinterest Google Analytics, Canva, Zendesk and many other social media platforms. Get your absolutely free trial today.

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

We have nearly 20 years of experience helping enterprises and managed service providers (MSPs), worldwide to better manage their SAP and Cloud landscapes. We know what it takes for businesses that rely on SAP to get better service, innovation, and compliance. We are a Swiss company founded in Switzerland and have a global presence in the USA, UK, Germany, Australia and Germany. We are well-positioned to support the largest SAP customers as Managed Service Providers.

Amazon CodeGuru is an intelligent developer tool that uses machine learning to make intelligent recommendations for improving code quality, and identifying the most costly lines of code in an application. Integrate Amazon CodeGuru in your existing software development workflow to get built-in code reviews that will help you identify and optimize the most expensive lines of code to lower costs. Amazon CodeGuru Profiler allows developers to find the most expensive lines in an application's code. It also provides visualizations and suggestions on how to improve code to make it more affordable. Amazon CodeGuru Reviewer uses machine-learning to identify critical issues and difficult-to-find bugs in application development to improve code quality.

AWS Auto Scaling monitors and adjusts your applications to ensure predictable, consistent performance at the lowest cost. AWS Auto Scaling makes it easy to set up application scaling for multiple resources and multiple services in minutes. It offers a simple and powerful user interface that allows you to create scaling plans for resources such as Amazon EC2 instances, Spot Fleets and Amazon ECS tasks, Amazon DynamoDB indexes and tables, and Amazon Aurora Replicas. AWS Auto Scaling simplifies scaling with recommendations that optimize performance, cost, or balance between them. You can combine Amazon EC2 Auto Scaling with AWS Auto Scaling if you already use it to dynamically scale Amazon EC2 instances. AWS Auto Scaling ensures that your applications have the right resources at all times.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

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

PagerDuty, Inc. (NYSE PD) is a leader for digital operations management. Organizations of all sizes rely on PagerDuty to deliver the best digital experience to their customers in an ever-on world. PagerDuty is used by teams to quickly identify and solve problems and to bring together the right people to prevent future ones. PagerDuty's 350+ integrations include Slack, Zoom and ServiceNow as well as Microsoft Teams, Salesforce and AWS. This allows teams to centralize their technology stack and get a holistic view on their operations. It also optimizes processes within their toolkits.

Splunk makes it easy to go from data to business results faster than ever before. Splunk Enterprise makes it easy to collect, analyze, and take action on the untapped value of big data generated by technology infrastructures, security systems, and business applications. This will give you the insight to drive operational performance, and business results. You can collect and index logs and machine data from any source. Combine your machine data with data stored in relational databases, data warehouses, Hadoop and NoSQL data storages. Multi-site clustering and automatic loads balancing scale can support hundreds of terabytes per day, optimize response time and ensure continuous availability. Splunk Enterprise can be customized easily using the Splunk platform. Developers can create custom Splunk apps or integrate Splunk data in other applications. Splunk, our community and partners can create apps that enhance and extend the power and capabilities of the Splunk platform.

CI hosted on the cloud or on a dedicated server can automate your development process.

Codefresh was founded in 2014. It combines CI/CD and Image Management to create a complete container delivery platform that connects developers and operations. Codefresh allows startups and enterprises to instantly benefit from microservices, container-based technologies. The company is based out of Silicon Valley, Israel.

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

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

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

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

Vulcan Cyber is changing the way businesses reduce cyber risks through vulnerability remediation orchestration. We help IT security teams to go beyond remedial vulnerability management and help them drive vulnerability mitigation outcomes. Vulcan combines vulnerability and asset data with threat intelligence and customizable risk parameters, to provide risk-based vulnerability prioritization insight. We don't stop there. Vulcan remediation intelligence identifies the vulnerabilities that are important to your business and attaches the necessary fixes and remedies to mitigate them. Vulcan then orchestrates and measures the rest. This includes inputs into DevSecOps and patch management, configuration management and cloud security tools, teams, and functions. Vulcan Cyber has the unique ability to manage the entire vulnerability remediation process, from scan to fix.

AWS Step Functions, a serverless function orchestrator, makes it easy to sequence AWS Lambda and multiple AWS services into business critical applications. It allows you to create and manage a series event-driven and checkpointed workflows that maintain the application's state. The output of each step acts as an input for the next. Your business logic dictates that each step of your application runs in the right order. It can be difficult to manage a series serverless applications, manage retries, or debugging errors. The complexity of managing distributed applications increases as they become more complex. Step Functions, which has built-in operational controls manages state, sequencing, error handling and retry logic. This removes a significant operational burden from your staff. AWS Step Functions allows you to create visual workflows that allow for fast translation of business requirements into technical specifications.

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

Uptycs presents the first unified CNAPP and XDR platform that enables businesses to take control of their cybersecurity. Uptycs empowers security teams with real-time decision-making driven by structured telemetry and powerful analytics. The platform is designed to provide a unified view of cloud and endpoint telemetry from a common solution, and ultimately arm modern defenders with the insights they need across their cloud-native attack surfaces. Uptycs prioritizes responses to threats, vulnerabilities, misconfigurations, sensitive data exposure, and compliance mandates across modern attack surfaces—all from a single UI and data model. This includes the ability to tie together threat activity as it traverses on-prem and cloud boundaries, delivering a more cohesive enterprise-wide security posture. With Uptycs you get a wide range of functionality, including CNAPP, CWPP, CSPM, KSPM, CIEM, CDR, and XDR. Shift up with Uptycs.

Epsagon allows teams to instantly visualize, understand, and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Epsagon can increase development speed and reduce application downtime.

JFrog Pipelines allows software teams to ship updates quicker by automating DevOps processes in an efficient and secure manner across all their tools and teams. It automates every step of production, including continuous integration (CI), continuous deliveries (CD), infrastructure, and more. Pipelines is natively integrated with the JFrog Platform and is available with both cloud (software-as-a-service) and on-prem subscriptions.

Container Registry Service based in Harbor for individuals, teams, and Software Vendors looking for ways to distribute software in container images.

Open-source monitoring solutions are able to power your alerting and metrics. Prometheus stores all data in time series. These are streams of timestamped value belonging to the same metric with the same labeled dimensions. Prometheus can also generate temporary derived times series as a result of queries. Prometheus offers a functional query language called PromQL, which allows the user to select and aggregate time series data real-time. The expression result can be displayed as a graph or tabular data in Prometheus’s expression browser. External systems can also consume the HTTP API. Prometheus can be configured using command-line flags or a configuration file. The command-line flags can be used to configure immutable system parameters such as storage locations and the amount of data to be kept on disk and in memory. . Download: https://sourceforge.net/projects/prometheus.mirror/

The most innovative cloud database service available, with unmatched data mobility across AWS, Azure and Google Cloud, as well as built-in automation for resource optimization and workload optimization. MongoDB Atlas is a global cloud database service that supports modern applications. Fully managed MongoDB can be deployed across AWS, Google Cloud and Azure. This is possible with best-in class automation and proven practices that ensure availability, scalability and compliance with the highest data security and privacy standards. This is the best way to deploy, scale, and run MongoDB in cloud. MongoDB Atlas provides security controls for all data. Allow enterprise-grade features to be integrated with your existing security protocols or compliance standards. MongoDB Atlas protects your data with preconfigured security features that allow for authentication, authorization and encryption.

Kapacitor, a native data processing engine in InfluxDB 1.x, is an integral component of the InfluxDB 2.0 platform. Kapacitor is able to process both batch and stream data from InfluxDB. It can also act on these data in real time via its programming language TICKscript. Modern applications need more than operator alerts and dashboarding. They also require the ability to trigger actions. Kapacitor's alerting system uses a publish-subscribe design. Alerts are sent to topics, and subscribers subscribe to a topic. Kapacitor is very flexible and can be used to control your environment. It can perform tasks such as stock reordering and auto-scaling. Kapacitor has a simple plugin architecture (or interface) that allows it integrate with any anomaly detector engine.

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

The most widely used observability platform, built on the ELK Stack, is the best choice. It converges silos and delivers unified visibility and actionable insight. All your observability data must be in one stack to effectively monitor and gain insight across distributed systems. Unify all data from the application, infrastructure, user, and other sources to reduce silos and improve alerting and observability. Unified solution that combines unlimited telemetry data collection with search-powered problem resolution for optimal operational and business outcomes. Converge data silos with the ingesting of all your telemetry data from any source, in an open, extensible and scalable platform. Automated anomaly detection powered with machine learning and rich data analysis can speed up problem resolution.

NVIDIA Triton™, an inference server, delivers fast and scalable AI production-ready. Open-source inference server software, Triton inference servers streamlines AI inference. It allows teams to deploy trained AI models from any framework (TensorFlow or NVIDIA TensorRT®, PyTorch or ONNX, XGBoost or Python, custom, and more on any GPU or CPU-based infrastructure (cloud or data center, edge, or edge). Triton supports concurrent models on GPUs to maximize throughput. It also supports x86 CPU-based inferencing and ARM CPUs. Triton is a tool that developers can use to deliver high-performance inference. It integrates with Kubernetes to orchestrate and scale, exports Prometheus metrics and supports live model updates. Triton helps standardize model deployment in production.

AWS App Mesh provides service mesh to facilitate communication between your services across different types of computing infrastructure. App Mesh provides visibility and high availability to your applications. Modern applications often include multiple services. Each service can be developed using different types of compute infrastructure such as Amazon EC2, Amazon ECS and Amazon EKS. It becomes more difficult to spot errors and redirect traffic after they occur, and to safely implement code changes. This was done by creating monitoring and control logic in your code and then redeploying your services whenever there were changes.

Automated elimination of inactive software components. This allows you to deploy smaller, more secure, and faster workloads. RapidFort dramatically reduces vulnerability and patches management queues, so developers can concentrate on building. RapidFort eliminates unused container components. This improves production workload security. It also saves developers from having to patch and maintain unused code. RapidFort profiles containers in order to identify which components are required to run them. Your containers can be used in any environment, whether it is dev, test, prod, or production. You can use any container deployment, such as Kubernetes and Docker Compose or Amazon EKS. RapidFort will then identify which packages you need to keep and allow you to delete any unused packages. The majority of improvements are between 60% and 90%. RapidFort allows you to create and customize remediation profiles. This allows you to choose what to keep or remove.

Phoenix Security helps security, developers and businesses speak the same language. We help security professionals focus their efforts on the most critical vulnerabilities across cloud, infrastructure and application security. Laser focuses only on the 10% of security vulnerabilities that are important today and reduces risk quicker with contextualized vulnerabilities. Automatically integrating threat intelligence into the risk increases efficiency and enables fast reaction. Automatically integrating threat intelligence into the risk increases efficiency and enables fast reactions. Aggregate, correlate, and contextualize data from multiple security tools, giving your business unprecedented visibility. Break down the silos that exist between application security, operations security, and business.

A data virtualization solution for enterprise data that allows access to multiple data sources and delivers the data and IT-curated data services foundation needed for almost any solution. The TIBCO®, Data Virtualization system is a modern data layer that addresses the changing needs of companies with mature architectures. Eliminate bottlenecks, enable consistency and reuse, and provide all data on demand in a single logical level that is governed, secure and serves a diverse user community. You can access all data immediately to develop actionable insights and take immediate action. Users feel empowered because they can search and select from a self service directory of virtualized business information and then use their favorite analytical tools to get results. They can spend more time analysing data and less time searching.

Manage, provision and scale compute infrastructure in any cloud. You can save up to 80% on your expenses while still maintaining high-availability and SLA. Elastigroup cluster software is designed to optimize performance as well as costs. It allows companies of all sizes and industries to use Cloud Excess Capacity to efficiently and effectively accelerate workloads and reduce infrastructure costs by up to 90%. Elastigroup uses proprietary price prediction technology in order to deploy onto Spot Instances reliably. Elastigroup can offensively rebalance clusters by predicting interruptions or fluctuations. Elastigroup can reliably leverage excess capacity across all major cloud providers, including EC2 Spot Instances(AWS), Low-priority VMss (Microsoft Azure), and Preemptible VMss (Google Cloud). This reduces risk and complexity and allows for simple orchestration and management at scale.

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 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 X-Ray allows developers to analyze and debug distributed production applications such as those built with a microservices architecture. X-Ray allows you to see how your application and its underlying service are performing. This will help you identify and fix performance issues. X-Ray gives you an overview of all requests that travel through your application and provides a map of the underlying components. X-Ray can be used to analyze both production and development applications, including simple three-tier applications as well as complex microservices applications with thousands of services.

Comprehensive cloud native security. Prisma™, Cloud provides comprehensive cloud native security. It enables you to create cloud-native applications with confidence. All aspects of the application development process have changed with the move to the cloud, including security. As organizations adopt cloud native approaches, security and DevOps teams will face increasing numbers of entities to protect. Developers are challenged to create and deploy quickly in ever-changing environments. Security teams remain responsible for ensuring compliance throughout the entire lifecycle. Some of our customers have firsthand accounts of PrismaCloud's best-in class cloud security capabilities.

Cloud optimization is possible with integrated visibility and automation. Cloud efficiency and cloud costs can be reduced by understanding, understanding and taking action. Cloud Analyzer, a cloud infrastructure management tool, uses advanced analytics to provide visibility into cloud costs and show you where you can optimize them. It also allows you to implement that optimization using Spot’s portfolio of continuous optimization products. You can map your cloud infrastructure to get detailed insights into cloud usage and costs across all your accounts. Track your cloud efficiency and identify your best opportunities for reducing cloud costs. Get actionable recommendations that are easy to implement and automate. This will help you reduce costs and increase your ROI. Cloud Analyzer is a combination of predictive analytics and machine-learning to provide guidance and visibility. It calculates your resource utilization and costs.

Amazon EC2 Spot instances allow you to take advantage of unused EC2 capacity within the AWS cloud. Spot Instances can be purchased at up to 90% off the On-Demand price. Spot Instances can be used for many stateless, fault-tolerant or flexible applications, such as big data and containerized workloads. Spot Instances can be used to launch and maintain applications that are running on AWS services like CloudFormation (EMR, ECS), CloudFormation, Data Pipeline, Data Pipeline, CloudFormation and AWS Batch. To further optimize workload cost and performance, Spot Instances can be combined with On-Demand, Savings Plans Instances, RIs, and RIs. Spot Instances are able to offer the scale and cost savings necessary to run hyper-scale workloads due to AWS's operating scale.

NoPass™, a multi-factor authentication add-on for remote users, is available. NoPass™, in addition to the username/password, also performs two additional authentication factors - something you have or something you are. This works with smartphones and does not require additional hardware authentication devices to be purchased for each user. It does not use SMS, which can be expensive and vulnerable to being intercepted. With increasing phishing attacks and other identity threats, authentication that requires a username or password (like RADIUS), can be at risk. Even the most savvy users can be fooled by sophisticated social engineering schemes and clever techniques. Identite™, a company that specializes in employee MFA solutions, has introduced NoPass™, a lightweight feature that increases security and can be used with all the most popular authentication protocols.

Beats is an open platform that allows single-purpose data shippers to use. They can send data from thousands or hundreds of machines and systems to Logstash and Elasticsearch. Beats are open-source data shippers that you can install on your servers to send operational information to Elasticsearch. Elastic offers Beats to capture data and event logs. Beats can send data directly via Elasticsearch or Logstash. There you can further process the data and enhance it before visualizing it in Kibana. You can quickly get up and running with infrastructure metrics monitoring or centralized log analytics. You can try the Metrics and Logs apps in Kibana. For more information, see Analyze metrics or Monitor logs. Filebeat allows you to easily forward and centralize logs from any source, including security devices, cloud containers, hosts, and OT.

You can host your app on idealstack and save all the Devops work required to get it up and running. Idealstack automatically cluster-enables any PHP code, including Symfony, Symfony, Laravel, Symfony, and CakePHP. Idealstack allows you to create your own private AWS hosting platform. You can host as many websites you wish and offer them a premium service that includes multiple-server clusters and autoscaling. Plus, you can add any other AWS service without having to retrain your staff. Hosting an ecommerce website or other critical PHP app is possible. Idealstack offers customizable hosting that is reliable, fast, and affordable. You can also "plug in", the rest of AWS to provide nearly any feature you want. It is easy to use and runs in infrastructure you control.

Amplication AI allows you to easily create new services and extend existing applications. From idea to production within four minutes. AI assistant that generates production ready code, ensuring consistency and predictability. With production-ready code built for scale, you can go from concept to deployment within minutes. Amplication's AI provides more than just prototypes. Get fully operational, robust services that are ready to go live. Streamline your development workflows to reduce time and optimize resources. With the power of AI, you can do more with your existing resources. Jovu will translate your requirements into code components that are ready to use. Data models, APIs and other components that are ready for production, including authentication, authorization and event-driven architecture. Add architecture components and integrations, and extend Amplication plugins.

DROPS is an application release management tool that simplifies, secures, and centralizes the deployment of applications in data centers, hybrid infrastructures, and multi-cloud environments. It integrates seamlessly with CI/CD pipelines and supports both agent-based operations and agentless ones. DROPS' features, such as full-stack deployment management, automated infrastructure provisioning and 24/7 availability, aim to streamline deployment processes, and ensure consistent and reliable delivery. The tool is flexible to manage both modern and legacy applications, meeting the needs of diverse enterprises. Choose between agent-based and agentless operation. No need to install and manage agents. DROPS adapts itself to your configuration, and if you need agents, they will be provisioned automatically. No scripting is required to plan and organize your application deployment using the web console. Facilitate collaboration between technical teams and stakeholders.

Amazon EC2 Inf1 instances were designed to deliver high-performance, cost-effective machine-learning inference. Amazon EC2 Inf1 instances offer up to 2.3x higher throughput, and up to 70% less cost per inference compared with other Amazon EC2 instance. Inf1 instances are powered by up to 16 AWS inference accelerators, designed by AWS. They also feature Intel Xeon Scalable 2nd generation processors, and up to 100 Gbps of networking bandwidth, to support large-scale ML apps. These instances are perfect for deploying applications like search engines, recommendation system, computer vision and speech recognition, natural-language processing, personalization and fraud detection. Developers can deploy ML models to Inf1 instances by using the AWS Neuron SDK. This SDK integrates with popular ML Frameworks such as TensorFlow PyTorch and Apache MXNet.

Amazon EC2 instances G5 are the latest generation NVIDIA GPU instances. They can be used to run a variety of graphics-intensive applications and machine learning use cases. They offer up to 3x faster performance for graphics-intensive apps and machine learning inference, and up to 3.33x faster performance for machine learning learning training when compared to Amazon G4dn instances. Customers can use G5 instance for graphics-intensive apps such as video rendering, gaming, and remote workstations to produce high-fidelity graphics real-time. Machine learning customers can use G5 instances to get a high-performance, cost-efficient infrastructure for training and deploying larger and more sophisticated models in natural language processing, computer visualisation, and recommender engines. G5 instances offer up to three times higher graphics performance, and up to forty percent better price performance compared to G4dn instances. They have more ray tracing processor cores than any other GPU based EC2 instance.

Amazon EC2 instances P4d deliver high performance in cloud computing for machine learning applications and high-performance computing. They offer 400 Gbps networking and are powered by NVIDIA Tensor Core GPUs. P4d instances offer up to 60% less cost for training ML models. They also provide 2.5x better performance compared to the previous generation P3 and P3dn instance. P4d instances are deployed in Amazon EC2 UltraClusters which combine high-performance computing with networking and storage. Users can scale from a few NVIDIA GPUs to thousands, depending on their project requirements. Researchers, data scientists and developers can use P4d instances to build ML models to be used in a variety of applications, including natural language processing, object classification and detection, recommendation engines, and HPC applications.