Best IT Management Software for Ondat

Run advanced apps on a secured and managed Kubernetes service. GKE is an enterprise-grade platform for containerized applications, including stateful and stateless, AI and ML, Linux and Windows, complex and simple web apps, API, and backend services. Leverage industry-first features like four-way auto-scaling and no-stress management. Optimize GPU and TPU provisioning, use integrated developer tools, and get multi-cluster support from SREs. Start quickly with single-click clusters. Leverage a high-availability control plane including multi-zonal and regional clusters. Eliminate operational overhead with auto-repair, auto-upgrade, and release channels. Secure by default, including vulnerability scanning of container images and data encryption. Integrated Cloud Monitoring with infrastructure, application, and Kubernetes-specific views. Speed up app development without sacrificing security.

Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

The Kubernetes platform for big ideas. Empower developers to innovate and ship faster with the leading hybrid cloud, enterprise container platform. Red Hat OpenShift offers automated installation, upgrades, and lifecycle management throughout the container stack—the operating system, Kubernetes and cluster services, and applications—on any cloud. Red Hat OpenShift helps teams build with speed, agility, confidence, and choice. Code in production mode anywhere you choose to build. Get back to doing work that matters. Red Hat OpenShift is focused on security at every level of the container stack and throughout the application lifecycle. It includes long-term, enterprise support from one of the leading Kubernetes contributors and open source software companies. Support the most demanding workloads including AI/ML, Java, data analytics, databases, and more. Automate deployment and life-cycle management with our vast ecosystem of technology partners.

MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.

The simplest cloud platform for developers & teams. Deploy, manage, and scale cloud applications faster and more efficiently on DigitalOcean. DigitalOcean makes managing infrastructure easy for teams and businesses, whether you’re running one virtual machine or ten thousand. DigitalOcean App Platform: Build, deploy, and scale apps quickly using a simple, fully managed solution. We’ll handle the infrastructure, app runtimes and dependencies, so that you can push code to production in just a few clicks. Use a simple, intuitive, and visually rich experience to rapidly build, deploy, manage, and scale apps. Secure apps automatically. We create, manage and renew your SSL certificates and also protect your apps from DDoS attacks. Focus on what matters the most: building awesome apps. Let us handle provisioning and managing infrastructure, operating systems, databases, application runtimes, and other dependencies.

The leading open source automation server, Jenkins provides hundreds of plugins to support building, deploying and automating any project. As an extensible automation server, Jenkins can be used as a simple CI server or turned into the continuous delivery hub for any project. Jenkins is a self-contained Java-based program, ready to run out-of-the-box, with packages for Windows, Linux, macOS and other Unix-like operating systems. Jenkins can be easily set up and configured via its web interface, which includes on-the-fly error checks and built-in help. With hundreds of plugins in the Update Center, Jenkins integrates with practically every tool in the continuous integration and continuous delivery toolchain. Jenkins can be extended via its plugin architecture, providing nearly infinite possibilities for what Jenkins can do. Jenkins can easily distribute work across multiple machines, helping drive builds, tests and deployments across multiple platforms faster.

Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

Elastic is a search company. As the creators of the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash), Elastic builds self-managed and SaaS offerings that make data usable in real time and at scale for search, logging, security, and analytics use cases. Elastic's global community has more than 100,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 400 million cumulative downloads. Today thousands of organizations, including Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, The New York Times, Uber, Verizon, Yelp, and Wikipedia, use the Elastic Stack, and Elastic Cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. Elastic has headquarters in Amsterdam, The Netherlands, and Mountain View, California; and has over 1,000 employees in more than 35 countries around the world.

RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. With tens of thousands of users, RabbitMQ is one of the most popular open-source message brokers. From T-Mobile to Runtastic, RabbitMQ is used worldwide at small startups and large enterprises. RabbitMQ is lightweight and easy to deploy on-premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements. RabbitMQ runs on many operating systems and cloud environments and provides a wide range of developer tools for most popular languages. Deploy with Kubernetes, BOSH, Chef, Docker and Puppet. Develop cross-language messaging with favorite programming languages such as Java, .NET, PHP, Python, JavaScript, Ruby, Go, etc.

Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.

Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.).

NGINX Open Source: The open source web server that powers more than 400 million websites. NGINX Plus is a software load balancer, web server, and content cache built on top of open source NGINX. Use NGINX Plus instead of your hardware load balancer and get the freedom to innovate without being constrained by infrastructure. Save more than 80% compared to hardware ADCs, without sacrificing performance or functionality. Deploy anywhere: public cloud, private cloud, bare metal, virtual machines, and containers. Save time by performing common tasks through the built‑in NGINX Plus API. From NetOps to DevOps, modern app teams need a self‑service, API‑driven platform that integrates easily into CI/CD workflows to accelerate app deployment – whether your app has a hybrid or microservices architecture – and makes app lifecycle management easier.

IBM Cloud® Kubernetes Service is a certified, managed Kubernetes solution, built for creating a cluster of compute hosts to deploy and manage containerized apps on IBM Cloud®. It provides intelligent scheduling, self-healing, horizontal scaling and securely manages the resources that you need to quickly deploy, update and scale applications. IBM Cloud Kubernetes Service manages the master, freeing you from having to manage the host OS, container runtime and Kubernetes version-update process.

Anthos lets you build, deploy, and manage applications anywhere in a secure, consistent manner. You can modernize existing applications running on virtual machines while deploying cloud-native apps on containers in an increasingly hybrid and multi-cloud world. Our application platform provides a consistent development and operations experience across all your deployments while reducing operational overhead and improving developer productivity. Anthos GKE: Enterprise-grade container orchestration and management service for running Kubernetes clusters anywhere, in both cloud and on-premises environments. Anthos Config Management: Define, automate, and enforce policies across environments in order to meet your organization’s unique security and compliance requirements. Anthos Service Mesh: Anthos unburdens operations and development teams by empowering them to manage and secure traffic between services while monitoring, troubleshooting, and improving application performance.

The fully managed Azure Kubernetes Service (AKS) makes deploying and managing containerized applications easy. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence. Elastic provisioning of additional capacity without the need to manage the infrastructure. Add event-driven autoscaling and triggers through KEDA. Faster end-to-end development experience with Azure Dev Spaces including integration with Visual Studio Code Kubernetes tools, Azure DevOps, and Azure Monitor. Advanced identity and access management using Azure Active Directory, and dynamic rules enforcement across multiple clusters with Azure Policy. Available in more regions than any other cloud providers.

Amazon Elastic Kubernetes Service (Amazon EKS) is a fully managed Kubernetes service. Customers such as Intel, Snap, Intuit, GoDaddy, and Autodesk trust EKS to run their most sensitive and mission-critical applications because of its security, reliability, and scalability. EKS is the best place to run Kubernetes for several reasons. First, you can choose to run your EKS clusters using AWS Fargate, which is serverless compute for containers. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Second, EKS is deeply integrated with services such as Amazon CloudWatch, Auto Scaling Groups, AWS Identity and Access Management (IAM), and Amazon Virtual Private Cloud (VPC), providing you a seamless experience to monitor, scale, and load-balance your applications.

Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. Application definitions, configurations, and environments should be declarative and version controlled. Application deployment and lifecycle management should be automated, auditable, and easy to understand. Argo CD follows the GitOps pattern of using Git repositories as the source of truth for defining the desired application state. Argo CD automates the deployment of the desired application states in the specified target environments. Application deployments can track updates to branches, tags, or pinned to a specific version of manifests at a Git commit.

From datacenter to cloud to edge, Rancher lets you deliver Kubernetes-as-a-Service. Rancher is a complete software stack for teams adopting containers. It addresses the operational and security challenges of managing multiple Kubernetes clusters, while providing DevOps teams with integrated tools for running containerized workloads. From datacenter to cloud to edge, Rancher's open source software lets you run Kubernetes everywhere. Compare Rancher with other leading Kubernetes management platforms in how they deliver. You don’t need to figure Kubernetes out all on your own. Rancher is open source software, with an enormous community of users. Rancher Labs builds software that helps enterprises deliver Kubernetes-as-a-Service across any infrastructure. When running Kubernetes workloads in mission-critical environments, our community knows that they can turn to us for world-class support.

ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications. Each time they are implemented there is a lot of work that goes into fixing the bugs and race conditions that are inevitable. Because of the difficulty of implementing these kinds of services, applications initially usually skimp on them, which make them brittle in the presence of change and difficult to manage. Even when done correctly, different implementations of these services lead to management complexity when the applications are deployed.