Kubernetes Integrations

The world’s most advanced, powerful, hybrid Docker and Helm registry. Power your world of Docker without limits. The JFrog Container Registry is the most comprehensive and advanced registry in the market today, supporting Docker containers and Helm Chart repositories for your Kubernetes deployments. Use it as your single access point to manage and organize your Docker images, while avoiding Docker Hub throttling or retention issues. JFrog provides reliable, consistent, and efficient access to remote Docker container registries with integration to your build ecosystem. Develop and deploy your way. Supports your current and future business model with on-prem / self-hosted, hybrid, and multi-cloud environments on your choice of AWS, Microsoft Azure, and Google Cloud. Built on JFrog Artifactory’s proven track record of power, stability, and resilience to easily manage and deploy your Docker images and provide your DevOps teams with full control over access and permissions.

Mirantis Secure Registry (formerly Docker Trusted Registry) provides an enterprise grade container registry solution that can be easily integrated to provide the core of an effective secure software supply chain. Enterprise-grade security Centralize control for container images: Store, share, and manage images from a secure docker registry under your control, enabling developers to use and run only approved images. Protect and verify: Scan images against a continuously updated vulnerability database, and validate with cryptographic signing. Secure and accelerate CI/CD workflows: Automatically promote images from test to prod for a secure, efficient software pipeline—all while maintaining policy-based controls.

Container Registry allows you to manage images throughout the image lifecycle. It provides secure image management, stable image build creation across global regions, and easy image permission management. This service simplifies the creation and maintenance of the image registry and supports image management in multiple regions. Combined with other cloud services such as container service, container registry provides an optimized solution for using Docker in the cloud. Provides an intranet URL of the image repository for each region. You can visit this URL to download images without using traffic. Builds services automatically, in regions outside China, and in stages. Allows you to easily scan the image security status and provides multi-dimensional vulnerability reports. Provides an easy Docker-based continuous integration and continuous delivery solution. Easy operations allow you to quickly start using the service at low management and maintenance costs.

Ridge goes beyond the public cloud with a flexible cloud that’s anywhere you need to be. Through a single API, Ridge Distributed Cloud converts any underlying infrastructure — public or private — into a cloud-native platform. Businesses get a cloud customized for their specific throughput, locality, and commercial requirements. Ridge requires zero installation or CAPEX: it leverages existing servers and runs application workloads on any IaaS, virtualization, or bare-metal machines. Whether you need to deploy in a private data center, on-prem, edge micro-center, or even in a multi-facility hybrid environment, Ridge is a cloud which expands your footprint without limits.

Maintain visibility into multi-cloud security, compliance, cost, and drift with automated infrastructure diagrams, change tracking, and a GraphQL API. After an easy, agentless onboarding, AutoCloud continually gathers and standardizes your multi-cloud, multi-environment data, then provides a variety of methods to interact with it. Even small updates can cause unexpected application outages, performance degradation, or security incidents that take days to track down. Spot where problems were first introduced with "git diff" for your cloud Prevent incidents and stay on top of configuration drift with intelligent alerts. Digging through static, text-heavy security and compliance reports to find actionable information. Cross-referencing information from multiple third party tools with provider consoles. AutoCloud's custom visualization engine makes gathering insights easy.

Visual COBOL provides COBOL development and integration tools, in your choice of Visual Studio, Visual Studio Code or Eclipse, that offer programmers an unrivaled development experience. Use Visual COBOL to help your software delivery teams transform core business systems written in COBOL using the latest technologies including .NET, JVM, Containers and Cloud. Introducing the next chapter of COBOL Innovation, Visual COBOL 7.0. This latest release delivers new and exciting development capabilities designed for Micro Focus COBOL applications. Take full advantage of the new, open and popular toolset, Visual Studio Code for COBOL development. Visual COBOL 7.0 also delivers a continued Micro Focus commitment to COBOL deployment across a wide array of platforms including new Linux distributions, .NET core, Docker containers, Azure Cloud and AWS. Compile COBOL applications to Java byte code for deployment within the Java Virtual Machine.

With Quobyte’s high-performance file and object storage you have the freedom to deploy anywhere (any server, any cloud), scale performance and manage large amounts of data while simplifying administration. Quobyte was designed with one goal in mind, to make your life easier. That’s why we make storage simple with a straightforward download and install (no tedious or complex configuration, no kernel modules), allowing ease of management. The ability to deploy anywhere means that you get to choose where you install your software storage solution. Whether it’s on new or existing hardware, in the cloud, or a combination of the two, Quobyte lets you pick what works best for your needs. From software updates to adding or removing nodes, everything is 100% non-disruptive in Quobyte. That way you can work whenever it’s convenient for you. So say goodbye to maintenance windows and say hello to free up your nights and weekends.

Use each module independently with your existing tooling or use them together to build a powerful unified pipeline spanning CI, CD, STO, SRM and Feature Flags with metadata enhancing cloud cost management. AI/ML are at the heart of every Harness module. 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. After a deployment, sitting around staring at logs and dashboards sucks. Harness analyzes the logs, metrics, and traces from your observability solution and automatically determines the health of every deployment. When a bad deployment is detected, Harness can automatically rollback to the last good version.

Helm helps you manage Kubernetes applications, Helm charts help you define, install, and upgrade even the most complex Kubernetes application. Charts are easy to create, version, share, and publish, so start using Helm and stop the copy-and-paste. Charts describe even the most complex apps, provide repeatable application installation, and serve as a single point of authority. Take the pain out of updates with in-place upgrades and custom hooks. Charts are easy to version, share, and host on public or private servers. Use helm rollback to roll back to an older version of a release with ease. Helm uses a packaging format called charts. A chart is a collection of files that describe a related set of Kubernetes resources. A single chart might be used to deploy something simple, like a memcached pod, or something complex, like a full web app stack with HTTP servers, databases, caches, and so on.

We enable you with our expertise and experience in cloud infrastructure and everything that comes with it. Multiple datacenters and an unlimited supply of resources enable us to provide services at a competitive price point. Complete server management or just a part of it, we offer solutions that can be scaled up, out and about as per your requirements. Dedicated support and personal attention that comes with 99.95% uptime, 24/7 support availability, firewall and round-the-clock DDoS protection. Effortless flexibility, power and control with full root and performance diagnostics. Futuristic solutions with Tier-III datacenters & cloud ecosystem, backed by dual redundancy components, located in diverse geographies. After the customized name has been fixed with the system success you can here access the addresses of the files which are holding on in your OSS can use the custom name.

Secure app & infrastructure access, purpose-built for enterprises. Banyan replaces your traditional network access boxes, VPNs, bastion hosts, and gateways, with a cloud-based zero trust access solution. One-click infra access, never expose private networks. Dead simple setup, high-performance connectivity. Automate access to critical services, without exposing private networks. One-click access to SSH/RDP, Kubernetes, and database environments, including hosted applications like GitLab, Jenkins, and Jira. CLI, too! Collaborate across on-premises and cloud environments, without complex IP whitelisting. Automate deployment, onboarding, and management with tag-based resource discovery & publishing. Simple cloud-delivered user-to-application (not network) segmentation, optimized for availability, scale, and ease of management. Superior user experience supports agentless, BYOD, and passwordless scenarios with one-click access via service catalog.

Oracle Data Service Integrator provides companies the ability to quickly develop and manage federated data services for accessing single views of disparate information. Oracle Data Service Integrator is completely standards-based, declarative, and enables re-usability of data services. Oracle Data Service Integrator is the only data federation technology that supports the creation of bidirectional (read and write) data services from multiple data sources. In addition, Oracle Data Service Integrator offers the breakthrough capability of eliminating coding by graphically modeling both simple and complex updates to heterogeneous data sources. Install, verify, uninstall, upgrade, and get started with Data Service Integrator. Oracle Data Service Integrator was originally known as Liquid Data and AquaLogic Data Services Platform (ALDSP). Some instances of the original names remain in the product, installation path, and components.

Oracle Big Data SQL Cloud Service enables organizations to immediately analyze data across Apache Hadoop, NoSQL and Oracle Database leveraging their existing SQL skills, security policies and applications with extreme performance. From simplifying data science efforts to unlocking data lakes, Big Data SQL makes the benefits of Big Data available to the largest group of end users possible. Big Data SQL gives users a single location to catalog and secure data in Hadoop and NoSQL systems, Oracle Database. Seamless metadata integration and queries which join data from Oracle Database with data from Hadoop and NoSQL databases. Utilities and conversion routines support automatic mappings from metadata stored in HCatalog (or the Hive Metastore) to Oracle Tables. Enhanced access parameters give administrators the flexibility to control column mapping and data access behavior. Multiple cluster support enables one Oracle Database to query multiple Hadoop clusters and/or NoSQL systems.

It takes care of the 3 primary pillars - Time, Cost & Productivity, so that your technology teams don't have to worry about them anymore. Adding a new environment to service is extremely simple. BuildPiper enables seamless modification and cloning of build & deploy details from an already created environment. This ability to clone environment details, makes creating a new environment extremely easy and quick. BuildPiper has a very well-designed ‘Build Details setup template’ which can seamlessly build the docker image of the service on providing a few simple inputs and configurations. If there are some custom steps in the docker build process, BuildPiper has them covered as well! With Pre hooks and Post hooks, it enables execution of custom steps before and after the Docker image creation. The build template also allows defining CI checks during the build definition process itself.

Hackers are targeting loopholes in API logic. Learn how to secure APIs and prevent breaches and data leaks. APIsec finds critical flaws in API logic that attackers target to gain access to sensitive data. Unlike traditional security solutions that look for common security issues, such as injection attacks and cross-site scripting, APIsec pressure-tests the entire API to ensure no endpoints can be exploited. With APIsec you’ll know about vulnerabilities in your APIs before they get into production where hackers can exploit them. Run APIsec tests on your APIs at any stage of the development cycle to identify loopholes that can unintentionally give attackers access to sensitive data and functionality. Security doesn’t have to slow down Development. APIsec runs at the speed of DevOps, giving you continuous visibility into the security of your APIs. No need to wait for the next scheduled pen-test, APIsec tests are complete in minutes.

Automate your application security and API protection with AppSec powered by contextual AI. Stop attacks against your web applications with a fully automated, cloud-native application security solution. Eliminate the need to manually tune rules and write exceptions every time you make an update to your web application or APIs. Modern applications demand modern security solutions. Protect your web applications and APIs, eliminate false positives and stop automated attacks against your business. CloudGuard uses contextual AI to prevent threats with absolute precision, without any human intervention as the application is updated. Protect web applications, and prevent OWASP Top 10 attacks. From implementation through runtime, CloudGuard AppSec automatically analyzes every user, transaction, and URL to create a risk score to stop attacks without creating false positives. In fact, 100% of CloudGuard customers maintain fewer than 5 rule exceptions per deployment.

You’ve embraced cloud architecture. But its complexity is difficult to monitor. The IBM Cloud Monitoring service is a fully managed monitoring service for administrators, DevOps teams and developers. Expect deep container visibility and comprehensive metrics. Reduce cost as you free up DevOps and better manage the software lifecycle. Configure a cluster to forward metrics to the IBM Cloud Monitoring service in the IBM Cloud. Increase productivity of administrators, DevOps teams and devs. Get notifications about metrics and events. Use dashboards to help you see the health of your environment. Discover apps, containers, hosts and networks dynamically. Display content and control access on a per-user, per-team basis. Configure an Ubuntu host to forward metrics to the IBM Cloud Monitoring service in the IBM Cloud. Cloud monitoring and troubleshooting for infrastructure, cloud services and applications.

Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.

Molecule is the modern, reliable ETRM/CTRM. Built in the cloud with an intuitive, easy-to-use experience at its core, Molecule is the alternative to the convoluted systems of the past. With near real-time reporting, 30+ integrations, and headache-free implementations, Molecule gets your ETRM/CTRM out of your way - because you have more valuable things to do with your time. Molecule is next-generation P&L, near real-time VaR, position, and risk reporting software for companies trading any kind of commodity. Molecule is designed for power, natural gas, crude, renewables, liquids, metals, ags, softs, and FX options/futures. Molecule is everything an ETRM should be: • Automatic deal capture • Automatic market data • Automatic position, P&L, near real-time VaR, and risk • Advanced and custom reporting with an embedded BI tool • Automatic FCM reconciliation • ISO connectivity for FTRs & virtuals • Connections to multiple exchanges and market data providers • Fund allocation

Highly scalable and standards-based model inference platform on Kubernetes for trusted AI. KServe is a standard model inference platform on Kubernetes, built for highly scalable use cases. Provides performant, standardized inference protocol across ML frameworks. Support modern serverless inference workload with autoscaling including a scale to zero on GPU. Provides high scalability, density packing, and intelligent routing using ModelMesh. Simple and pluggable production serving for production ML serving including prediction, pre/post-processing, monitoring, and explainability. Advanced deployments with the canary rollout, experiments, ensembles, and transformers. ModelMesh is designed for high-scale, high-density, and frequently-changing model use cases. ModelMesh intelligently loads and unloads AI models to and from memory to strike an intelligent trade-off between responsiveness to users and computational footprint.

NVIDIA Triton™ inference server delivers fast and scalable AI in production. Open-source inference serving software, Triton inference server streamlines AI inference by enabling teams deploy trained AI models from any framework (TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, custom and more on any GPU- or CPU-based infrastructure (cloud, data center, or edge). Triton runs models concurrently on GPUs to maximize throughput and utilization, supports x86 and ARM CPU-based inferencing, and offers features like dynamic batching, model analyzer, model ensemble, and audio streaming. Triton helps developers deliver high-performance inference aTriton integrates with Kubernetes for orchestration and scaling, exports Prometheus metrics for monitoring, supports live model updates, and can be used in all major public cloud machine learning (ML) and managed Kubernetes platforms. Triton helps standardize model deployment in production.

Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.

Your business digital services are expected to offer highest reliability and they require digital immunity against software and infrastructure faults. Introduce chaos culture easily into your DevOps with ChaosNative Litmus and take control of your business service reliability. ChaosNative Litmus offers a hardened LitmusChaos chaos engineering platform for Enterprises. Apart from the enterprise support, the product offers chaos experiments for virtual environments, baremetal and popular cloud infrastructure and services. ChaosNative Litmus integrates well into your DevOps tooling. ChaosNative Litmus is built with LitmusChaos at core. All the power of open source Litmus is carried as is into the open core ChaosNative Litmus. The chaos workflows, GitOps integration, Chaos Center APIs and chaos SDK work the same on ChaosNative Litmus.

Shoreline is the Cloud Reliability platform — the only platform that lets DevOps engineers build automations in an afternoon, and fix issues forever. Shoreline reduces on-call complexity by running across clouds, Kubernetes clusters, and VMs allowing operators to manage their entire fleet as if it were a single box. Debugging and repairing issues is easy with advanced tooling for your best SREs, automated runbooks for the broader team, and a platform that makes building automations 30X faster. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment. Shoreline’s modern “Operations at the Edge” architecture runs efficient agents in the background of all monitored hosts. Agents run as a DaemonSet on Kubernetes or an installed package on VMs (apt, yum). The Shoreline backend is hosted by Shoreline in AWS, or deployed in your AWS virtual private cloud.

Seamlessly connect cloud automation, cost control, and security into your platform, and make the power of environments as a service accessible to any user through self-service, even if they are not cloud experts. Deliver the infrastructure & application resources your teams need with velocity and control. Give developers on-demand access to the application environments they need through their CI/CD tools, GUI, and CLI. Empower developers to build in a unified, standardized way without introducing unnecessary friction. Reusable building blocks make it easier to deliver application-aware resources developers really need. Eliminate uncertainty, avoid over-spending, and tie cloud costs back to your business. Torque is a SaaS platform delivering Infrastructure automation at scale for complex, application-centric environments on cloud technologies including AWS, Azure, and Kubernetes. IT leaders and DevOps innovators around the world trust Quali to enable self-service automation.

The F5 Distributed Cloud Platform delivers improved functionality, advanced security controls, and more simplified operations than native services from cloud providers. A cloud-based platform that is purpose-built to support distributed applications across multi-cloud, on-premises, and edge environments. As applications evolve through microservices and increased dependencies on APIs, new highly distributed architectures are introducing greater complexities, costs, and increased risks. Multiple appliances, software, and connectivity services must be deployed and managed to deliver apps. Traditional CDNs and hub-spoke networks were not designed for immersive or large-scale SaaS apps. Services with different APIs, policies, and observability require investments in automation. Apps deployed across distributed environments are not equally protected. Difficult to align DevOps, NetOps, and SecOps across service provisioning and security using ticket-based workflows.

A fully-managed platform for Ray, from the creators of Ray. The best way to develop, scale, and deploy AI apps on Ray. Accelerate development and deployment for any AI application, at any scale. Everything you love about Ray, minus the DevOps load. Let us run Ray for you, hosted on cloud infrastructure fully managed by us so that you can focus on what you do best, and ship great products. Anyscale automatically scales your infrastructure and clusters up or down to meet the dynamic demands of your workloads. Whether it’s executing a production workflow on a schedule (for eg. retraining and updating a model with fresh data every week) or running a highly scalable and low-latency production service (for eg. serving a machine learning model), Anyscale makes it easy to create, deploy, and monitor machine learning workflows in production. Anyscale will automatically create a cluster, run the job on it, and monitor the job until it succeeds.

Komodor takes the complexity out of K8s troubleshooting, providing all of the tools you need to troubleshoot with confidence. Komodor monitors your entire k8s stack, identifies issues, uncovers their root cause and delivers the context you need to troubleshoot efficiently and independently. Auto-identify k8s anomalies, failed deploys, misconfigurations, bottlenecks and other health issues. Spot emerging problems before they spread out and affect the end-users. Use ready-made playbooks to streamline root cause analysis, sidestep disruptive escalations and save hours of precious dev time. Provide your teams with straightforward remediation instructions that turn every responder into a troubleshooting expert.

Invest more time building your applications and less time managing cloud infrastructure with DoiT’s cloud management platform at your fingertips. Access superior cloud expertise, premium advisory services and unlimited technical support, all at no extra cost to you. Custom groupings allow you to analyze and report costs in alignment to your business so that you can fairly and accurately allocate costs across teams or applications. Generate forecasts for any combination of cloud resources, across any timeframe. Use ML to isolate the aspects of your cloud spend that are trending up or down with a single click. We help companies evaluate, test, migrate, and optimize on public cloud. Our goal is to make operating in the cloud seamless so you can focus on what matters most: delivering great products and services to your customers.

Deploy production-ready Kubernetes clusters in days. Rapidly onboard users and applications. Conquer Kubernetes complexity with an intuitive and powerful DevOps solution. Eliminate friction between teams, enhance alignment, and boost productivity. With Nirmata’s Kubernetes Policy Manager, you’ll have the right security, compliance and Kubernetes governance to scale efficiently. Manage all your Kubernetes clusters, policies, and applications in one place while streamling operations with the DevSecOps Platform. Nirmata’s DevSecOps platform integrates with cloud providers (EKS, AKS, GKE, OKE, etc.) and infrastructure-based solutions (VMware, Nutanix, bare metal) and solves Kubernetes operations challenges for enterprise DevOps teams with powerful Kubernetes management and governance capabilities.

Get a glance at code quality for the whole project, recent commits, and the most problematic files. CodeFactor will track new and fixed issues for every commit and pull request. CodeFactor will try to show the most critical issues first based on issue code size, file change frequency, and file size so you can start fixing only what's important. Create and track issues or comments directly from code files or project issues pages. CodeFactor will update the status for GitHub or Bitbucket pull requests as well. CodeFactor allows you to toggle inspection for any repository branch on the fly. CodeFactor integrates with Slack to send code quality notifications for every commit in a branch or pull request. To install, go to the repository settings page. Straightforward pricing based on private repository number. Plain and simple with no hidden fees. Seamless integration into your workflow.

From your own domain name and website or web store to online collaboration. Create your own website, simple, without technical knowledge. Do you want to create a web store? Sell your product online. Collaborate efficiently, anytime and anywhere. Your own domain name, website, or web store is available at all times. The most reliable web hosting. Professional solution with your own e-mail address. 24/7 support in your own language. Combell will help you dot the I's and cross the T's. High-performance websites and applications, eCommerce environments, cloud solutions, business continuity, disaster recovery, optimal security, and minimal downtime. Your own webspace on our powerful hosting cluster (with separate servers for each task, web server, mail server, etc.) Your own web hosting server for you only. Go for maximum performance with the same ease of use. A hosting solution tailored to your website or application. Combell makes everything possible.

Bootstrap and build out your cybersecurity posture with Zercurity. Reduce the time and resources spent monitoring, managing, integrating, and navigating your organization through the different cybersecurity disciplines. Get clear data points you can actually use. Get an instant understanding of what your current IT infrastructure looks like. Assets, applications, packages, and devices are examined automatically. Let our sophisticated algorithms find and run queries across your assets. Automatically highlighting anomalies and vulnerabilities in real-time. Expose threats to your organization. Eliminate the risks. Automatic reporting and auditing cuts remediation time and supports handling. Unified security monitoring for your entire organization. Query your infrastructure like a database. Instant answers to your toughest questions. Measure your risk in real-time. Stop guessing where your cybersecurity risks lie. Get deep insights into every facet of your organization.

Your newer cloud-native apps have an order of magnitude more dependencies, ephemerality, releases, and telemetry. Proprietary monitoring and APM tools were born in the era of monolithic apps and static infrastructure. They are expensive, intrusive, siloed, and generate more noise than they’re worth. Open source and cloud monitoring tools offer an excellent foundation but require highly skilled engineers to integrate, maintain and analyze the data they surface. Your journey to modern infrastructure is stretching the limits of your monitoring framework. It’s time for a fresh approach. It’s time for OpsCruise! Our platform’s deep understanding of Kubernetes, coupled with our unique ML-based behavior profiling empowers your entire team to predict performance degradations and instantly surface their cause. All at a third of the cost of the current monitoring stack and without the need to instrument code, deploy agents, or maintain open-source tools.

Glasnostic inserts agentlessly into the network data path, observes interaction patterns between services, detects anomalies, and responds with effective and predictable control primitives, in real-time and automatically. Visibility is worth little if disconnected from the action. With Glasnostic, engineers can respond to system behaviors in real-time and proactively. Glasnostic inserts transparent controllers into the network data plane, which collectively act as a brain-in-the-wire that detects and responds to behaviors in real-time. Interaction metrics are sent to the control plane for storage, anomaly detection, and automated or manual control. Glasnostic works with all major cloud technologies and integrates with existing tools from AIOps to workflow and security tools via APIs and webhooks. Glasnostic works with all major technology stacks. View system behaviors holistically, uniformly, and everywhere.

Our out-of-the-box solution allows you to monitor the health of your cluster and troubleshoot issues faster with pre-built dashboards that just work. And our clear and affordable pricing makes it easy to get started today. ContainIQ deploys three agents that sit inside your cluster: a single replica deployment that collects metrics and events from the Kubernetes API and two additional daemon sets, one that collects latency information for every pod on that node and another that collects logs for all of your pods/containers. Monitor latency by microservice and by path, including p95, p99, average, and RPS. Works instantly without application packages or middleware. Set alerts on significant changes. Search functionality, filter by date range, and view data over time. View all incoming and outgoing requests alongside metadata. Graph P99, P95, average latency, and error rate over time for each URL path. Correlate logs for a specific trace, useful for debugging when problems arise.

MatosSphere brings a complete cloud compliance solution for your cloud infrastructure. Our cloud compliance solution provides you with the tools you need to secure your cloud environment and meet compliances. With our self-healing, self-secure and intelligent remediation, MatosSphere is the only cloud compliance and security platform you need to keep your cloud infrastructure safe and compliant. Contact us today to learn more about our cloud security and compliance solutions. Cloud security and compliance governance can be major challenges for customers with growing cloud adoption. As more companies migrate their workloads to public cloud environments, they may find it difficult to provision, manage and maintain secured, compliant and scalable infrastructure. The cloud resource footprint can evolve and increase quickly, making it difficult to have a business continuity plan in place.

The always-free NGINX Service Mesh scales from open source projects to a fully supported, secure, and scalable enterprise‑grade solution. Take control of Kubernetes with NGINX Service Mesh, featuring a unified data plane for ingress and egress management in a single configuration. The real star of NGINX Service Mesh is the fully integrated, high-performance data plane. Leveraging the power of NGINX Plus to operate highly available and scalable containerized environments, our data plane brings a level of enterprise traffic management, performance, and scalability to the market that no other sidecars can offer. It provides the seamless and transparent load balancing, reverse proxy, traffic routing, identity, and encryption features needed for production-grade service mesh deployments. When paired with the NGINX Plus-based version of NGINX Ingress Controller, it provides a unified data plane that can be managed with a single configuration.

Today's Kubernetes environments need help in scaling, securing and observing modern cloud-native applications. Gloo Mesh, based on the industry's leading Istio service mesh, simplifies multi-cloud and multi-cluster management of service mesh for containers and virtual machines. Gloo Mesh helps platform engineering teams to reduce costs, reduce risks, and improve application agility. Gloo Mesh is a modular component of Gloo Platform. The service mesh allows for application-aware network tasks to be managed independently from the application, adding observability, security, and reliability to distributed applications. By introducing the service mesh to your applications, you can: Simplify the application layer Provide more insights into your traffic Increase the security of your application

Enterprise service mesh based on Kuma for multi-cloud and multi-cluster on both Kubernetes and VMs. Deploy with a single command. Connect to other services automatically with built-in service discovery, including an Ingress resource and remote CPs. Support across any environment, including multi-cluster, multi-cloud and multi-platform on both Kubernetes and VMs. Accelerate initiatives like zero-trust and GDPR with native mesh policies, improving the speed and efficiency of every application team. Deploy a single control plane that can scale horizontally to many data planes, or support multiple clusters or even hybrid service meshes running on both Kubernetes and VMs combined. Simplify cross-zone communication using an Envoy-based ingress deployment on both Kubernetes and VMs, as well as the built-in DNS resolver for service-to-service communication. Built on top of Envoy with 50+ observability charts out of the box, you can collect metrics, traces, and logs of all L4-L7 traffic.

A common flat vL3 domain allowing DBs running in multiple clusters/clouds/hybrid to communicate just with each other for DB replication. Workloads from multiple companies connecting to a single ‘collaborative’ Service Mesh for cross company interactions. Each workload has a single option of what connectivity domain to be connected to, and only workloads in a given runtime domain could be part of its connectivity domain. In short: Connectivity Domains are Strongly Coupled to Runtime Domains. A central tenant of Cloud Native is Loose Coupling. In a Loosely Coupled system, the ability for each workload to receive service from alternative providers is preserved. What Runtime Domain a workload is running in is a non-sequitur to its communications needs. Workloads that are part of the same App need Connectivity between each other no matter where they are running.

AWS App Mesh is a service mesh that provides application-level networking to facilitate communication between your services across various types of computing infrastructure. App Mesh offers comprehensive visibility and high availability for your applications. Modern applications are generally made up of multiple services. Each service can be developed using various types of compute infrastructure, such as Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate. As the number of services within an application grows, it becomes difficult to pinpoint the exact location of errors, redirect traffic after errors, and safely implement code changes. Previously, this required creating monitoring and control logic directly in your code and redeploying your services every time there were changes.

YAML: YAML Ain't Markup Language. YAML is a human-friendly data serialization language for all programming languages.

Finout combines Cloud Providers, Data Warehouses, and CDNs into one mega bill, enabling an unparalleled business context view of your cloud spend with no heavy lifting in minutes. Monitor anomalies, view recommendations and forecast cost per growth. While AWS charges you by the instance, you genuinely care about your pod cost. With no-agent integration, utilize your existing Datadog or Prometheus to get a pod-level granularity of your spend in minutes. Forget about absolute cloud cost. See the cost of what you are utilizing and not only what you are paying for. For example, view Kubernetes pods instead of EC2 instances and DynamoDB indexes. Finout can give you one unified language the entire company can talk in, not only DevOps.

Automatically eliminate unused software components and deploy smaller, faster, more secure workloads. RapidFort drastically reduces vulnerability and patch management queues so that developers can focus on building. By eliminating unused container components, RapidFort enhances production workload security and saves developers from unnecessarily patching and maintaining unused code. RapidFort profiles containers to understand what components are needed to run. Run your containers as normal in any environment, dev, test, or prod. Use any container deployment, including Kubernetes, Docker Compose, Amazon EKS, and AWS Fargate. RapidFort then identifies which packages you must keep, enabling you to remove unused packages. Typical improvements are in the 60% to 90% range. RapidFort also provides the option to build and customize remediation profiles, allowing you to pick and choose what to retain or remove.

Unleash the power of the no-code platform for modern applications. Build, Provision, Run and Scale Cloud-Native Applications by leveraging your team's current capabilities. Unlock the potential of your applications, capture new revenue opportunities and exceed customer expectations by modernizing your legacy and greenfield applications rapidly. Be the first to market and lead the change. Leverage Out-of-the-box DevOps capabilities in the platform to simplify and automate your software delivery and maintenance. Spice up your 'cloud first' strategy with multi and hybrid cloud enablement. Avoid vendor lock-in and give the flexibility of choice to your teams to bring their own cloud and infrastructure. Eliminate manual errors due to human factors and save time to modernize applications. Debug and resolve issues faster than before using the built-in developer tools.

Open-source session replay suite, built for developers and self-hosted for full control over your data. Understand every issue, as if it happened in your own browser. Look under the hood, while watching your users. Everything developers need to fix what's broken. One platform to replay sessions, understand issues, monitor your web app, and assist your customers. Relive your user's experience. Feel their struggle, uncover hidden issues and build stellar experiences. A full-featured session replay suite you can self-host, so your customer data never leaves your infrastructure. No more sharing of your data with 3rd parties. Have full control over what's captured. Stop wasting time on lengthy compliance and security checks. Fine-grained privacy features for sanitizing user data. Host your session replay tool yourself and stop sending data to third parties. Not a big fan of self-deployments? Use our cloud and get started in minutes.

The world’s most popular API gateway. Built for hybrid and multi-cloud, optimized for microservices and distributed architectures. Get started today – download Kong Gateway for free. Kong Gateway supports hybrid or multi-cloud infrastructure, and includes a Kubernetes-native ingress solution and support for declarative configuration management. Kong Gateway is part of the Konnect managed connectivity platform. Konnect delivers connectivity functionality such as API Portals and AI-based anomaly detection, while providing the flexibility of running high performance connectivity runtimes. Use one of the many plugins developed by Kong or our community to add the functionality you need. Build your own plugin with our built in, well-documented plugin development kit. Configure Gateway natively using an API, web UI, or with declarative configuration to manage updates via your CI/CD pipelines.

InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.

Data-driven computational pipelines. Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages. Its fluent DSL simplifies the implementation and deployment of complex parallel and reactive workflows on clouds and clusters. Nextflow is built around the idea that Linux is the lingua franca of data science. Nextflow allows you to write a computational pipeline by making it simpler to put together many different tasks. You may reuse your existing scripts and tools and you don't need to learn a new language or API to start using it. Nextflow supports Docker and Singularity containers technology. This, along with the integration of the GitHub code-sharing platform, allows you to write self-contained pipelines, manage versions, and rapidly reproduce any former configuration. Nextflow provides an abstraction layer between your pipeline's logic and the execution layer.