Best IT Management Software for Helm

DeployHub's mission is to empower organizations to achieve business agility through a managed approach to the microservice supply chain using a unified catalog of services and their usage. Unique to the DeployHub offering is its ability to version services along with their consuming applications providing the visibility of service impact before a deployment. DeployHub provides a clear view of your microservices supply chain and how it changes over time across hundreds of clusters. DeployHub integrates with your CI/CD pipeline. You can start using our free version at deployhub.com. DeployHub is based on the Ortelius.io open source project.

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.

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.

StreamNative redefines streaming infrastructure by seamlessly integrating Kafka, MQ, and other protocols into a single, unified platform, providing unparalleled flexibility and efficiency for modern data processing needs. StreamNative offers a unified solution that adapts to the diverse requirements of streaming and messaging in a microservices-driven environment. By providing a comprehensive and intelligent approach to messaging and streaming, StreamNative empowers organizations to navigate the complexities and scalability of the modern data ecosystem with efficiency and agility. Apache Pulsar’s unique architecture decouples the message serving layer from the message storage layer to deliver a mature cloud-native data-streaming platform. Scalable and elastic to adapt to rapidly changing event traffic and business needs. Scale-up to millions of topics with architecture that decouples computing and storage.

NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.

Kubegrade is a cloud-based Kubernetes management platform that simplifies and automates complex Kubernetes operations, making it easier for engineering and platform teams to upgrade, secure, monitor, troubleshoot, optimize, and scale clusters while keeping humans in control. It visualizes cluster state and dependencies, detects configuration drift and deprecated APIs, and uses AI-assisted insights to propose fixes as GitOps-ready pull requests that teams can review and approve, reducing manual toil and aligning cluster deployments with infrastructure as code. Kubegrade’s lifecycle automation covers secure upgrades, patching, cost attribution, rightsizing, centralized monitoring and logging, security enforcement, and troubleshooting with intelligent agents that predict issues and continuously analyze real-time telemetry, helping reduce downtime, mitigate risk, and improve reliability at scale.

Devtron is an AI-native, Kubernetes-focused DevOps platform designed to simplify and unify the entire lifecycle of application delivery, infrastructure management, and operations within a single control plane. It combines core DevOps capabilities such as CI/CD, GitOps, security, observability, cost management, and debugging into one integrated interface, eliminating the need to manage multiple disconnected tools and dashboards. It acts as a centralized control layer for Kubernetes environments, allowing teams to deploy, monitor, manage, and troubleshoot applications across multi-cloud or on-prem clusters with full visibility and governance. It includes Kubernetes-native CI/CD pipelines with no-code workflows, multi-environment orchestration, approval-based deployments, and reusable templates, enabling faster and more reliable software delivery while reducing manual effort.

Skyhook is a Kubernetes-based internal developer platform designed to simplify how teams build, deploy, and scale cloud applications by abstracting away the complexity of DevOps and infrastructure management. It provides a fully configured, production-ready environment that allows developers to spin up services, environments, and infrastructure in seconds while integrating best-in-class tools from the Kubernetes ecosystem, such as ArgoCD, Kyverno, and Grafana. It orchestrates these tools into standardized “golden paths,” enabling organizations to implement best practices out of the box, including monitoring, rollout strategies, ephemeral environments, and secure secret management, without requiring manual setup. Skyhook delivers a self-service experience for developers while maintaining governance and control for DevOps teams, allowing organizations to automate workflows, enforce standards, and reduce the need for custom internal tooling.

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.

Provide resources according to the requirement and scale with ease. Plan and Implement your Infrastructure as code with the same workflow across multiple cloud providers. Automated configurations and pipelines, for standardization and decreased configuration drift. Creates a code Git-based source code repository for each workflow facilitating Infrastructure audibility. Supports for Terraform, Ansible, Helm features to empower teams to build and provision highly efficient Infrastructure. Connect ready-made modules to configure in the workflows of IaC. Enterprises minimize issues at deployment, safety prospects and decrease configuration drift with NexaStack. Empowers enterprises to minimize issues at deployment and faster time to production. Effortless Infrastructure Audit and Decreased Configuration Inconsistency. Faster time to Setup Infrastructure and scale resources effortlessly.

NVIDIA DGX Cloud Serverless Inference is a high-performance, serverless AI inference solution that accelerates AI innovation with auto-scaling, cost-efficient GPU utilization, multi-cloud flexibility, and seamless scalability. With NVIDIA DGX Cloud Serverless Inference, you can scale down to zero instances during periods of inactivity to optimize resource utilization and reduce costs. There's no extra cost for cold-boot start times, and the system is optimized to minimize them. NVIDIA DGX Cloud Serverless Inference is powered by NVIDIA Cloud Functions (NVCF), which offers robust observability features. It allows you to integrate your preferred monitoring tools, such as Splunk, for comprehensive insights into your AI workloads. NVCF offers flexible deployment options for NIM microservices while allowing you to bring your own containers, models, and Helm charts.

NVIDIA Cloud Functions (NVCF) is a serverless API designed to deploy and manage AI workloads on GPUs, providing security, scalability, and reliability. It supports HTTP polling, HTTP streaming, and gRPC protocols for accessing workloads. Cloud Functions is primarily suited for shorter-running, preemptable workloads such as inferencing and fine-tuning. It supports two function types: "Container" and "Helm Chart", allowing users to define functions based on their specific requirements. Workloads are ephemeral and preemptable, so users should ensure they save their work appropriately. Models, containers, helm charts, and additional resources are hosted and pulled from the NGC Private Registry. To get started, users can follow the functions quickstart guide, which provides an end-to-end workflow for creating and deploying a container-based function using the fastapi_echo_sample container.