Search Results for "devops"
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Showing 7 open source projects for "devops"
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AestheticsPro Medical Spa SoftwareAestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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Outbound sales softwareAdversus is an outbound dialing solution that helps you streamline your call strategies, automate manual processes, and provide valuable insights to improve your outbound workflows and efficiency.
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Porter
Kubernetes powered PaaS that runs in your own cloud
Porter is a fully-managed PaaS that lets teams automate DevOps. Deploy and manage apps within AWS, GCP, DO, and more. Porter manages and scales services in your existing cloud so you can focus on building products. Deploy in seconds from a Git repo or Docker registry. Porter simplifies service management while still offering the flexibility of a fully-featured DevOps platform when you need it. -
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Gardener
Kubernetes-native system managing the full lifecycle of Kubernetes
Kubernetes-native system managing the full lifecycle of conformant Kubernetes clusters as a service on Alicloud, AWS, Azure, GCP, OpenStack, EquinixMetal, vSphere, MetalStack, and Kubevirt with minimal TCO. Kubernetes is a cloud-native enabler built around the principles of a resilient, manageable, observable, highly automated, loosely coupled system. Gardener is a standard Kubernetes extension and adheres to the same concepts by design. The Gardener project is committed to fostering an open... -
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Consul
Service networking solution to connect applications across any cloud
...Consul enables detecting the deployment of new services, changes to existing ones, and provides real time agent health to reduce downtime. Consul offers support for and integrations with many popular DevOps and Networking tools. -
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KubeSphere
The container platform tailored for Kubernetes multi-cloud, datacenter
...It provides a plug-and-play architecture, allowing third-party applications to be seamlessly integrated into its ecosystem. KubeSphere is also a multi-tenant container platform with full-stack automated IT operation and streamlined DevOps workflows. It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich platform, which includes most common functionalities needed for enterprise Kubernetes strategy, see Feature List for details. KubeSphere Lite provides you with free, stable, and out-of-the-box managed cluster service. ... -
Simplify Purchasing For Your BusinessSimplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
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DTail
DTail is a distributed DevOps tool for tailing, grepping, catting logs
DTail (a distributed tail program) is a DevOps tool for engineers programmed in Google Go for following (tailing), catting and grepping (including gzip and zstd decompression support) log files on many machines concurrently. An advanced feature of DTail is to execute distributed MapReduce aggregations across many devices. For secure authorization and transport encryption, the SSH protocol is used. -
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Infracost
Cloud cost estimates for Terraform in pull requests
...Infracost integrates into CI/CD so everyone knows the cost impact of changes without leaving the workflow. Infracost integrates with Open Policy Agent, Sentinel, and Conftest, enabling DevOps teams to set best practices as policies. Infracost automatically creates detailed, shareable cost estimates which can be sent to clients and managers with different scenarios. Infracost supports over 230 Terraform resources across AWS, Azure and Google. Other IaC tools, such as Pulumi, AWS CloudFormation/CDK and Azure ARM/Bicep are on our roadmap. ... -
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Halfrost-Field Frostland
This is the place to blog
...For example, there is a full machine learning course outline (regression, neural networks, SVMs, unsupervised learning, anomaly detection, large-scale ML, even application examples like OCR), that reads like a self-study curriculum. Beyond ML, the repo reflects the author’s interests across cloud native infra, distributed systems, programming languages (Go, Rust), DevOps, algorithms, and more — making it a broad reference for learners or engineers seeking well-written, deep-dive articles.
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