Best Application Development Software for Google Kubernetes Engine (GKE) - Page 2

Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity.

Shoreline is the only cloud reliability platform that allows DevOps engineers to build automations in a matter of minutes and fix problems forever. 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. Debugging and repairing issues is easy with advanced tooling for your best SREs, Jupyter style notebooks for the broader team, and a platform that makes building automations 30X faster by allowing operators to manage their entire fleet as if it were a single box. Shoreline does the heavy lifting, setting up monitors and building repair scripts, so that customers only need to configure them for their environment.

The NGINX Service Mesh, which is always available for free, transitions effortlessly from open source projects to a robust, secure, and scalable enterprise-grade solution. With NGINX Service Mesh, you can effectively manage your Kubernetes environment, utilizing a cohesive data plane for both ingress and egress, all through a singular configuration. The standout feature of the NGINX Service Mesh is its fully integrated, high-performance data plane, designed to harness the capabilities of NGINX Plus in managing highly available and scalable containerized ecosystems. This data plane delivers unmatched enterprise-level traffic management, performance, and scalability, outshining other sidecar solutions in the market. It incorporates essential features such as seamless load balancing, reverse proxying, traffic routing, identity management, and encryption, which are crucial for deploying production-grade service meshes. Additionally, when used in conjunction with the NGINX Plus-based version of the NGINX Ingress Controller, it creates a unified data plane that simplifies management through a single configuration, enhancing both efficiency and control. Ultimately, this combination empowers organizations to achieve higher performance and reliability in their service mesh deployments.

Ambient Mesh is a modern service mesh architecture designed to eliminate the complexity of traditional sidecar-based approaches. It secures, observes, and connects cloud-native workloads with minimal intrusion and resource consumption. Ambient Mesh delivers zero-trust security using workload identity, encryption, and automated certificate management. Teams gain deep visibility into traffic flows through distributed tracing, logs, and performance metrics. Advanced traffic control features support safe deployments, intelligent routing, and seamless failover. The platform improves resilience with circuit breaking, zone-aware load balancing, and retry policies. Ambient Mesh enables organizations to migrate existing sidecar workloads with zero downtime. A free migration tool provides automated analysis and step-by-step guidance. This approach reduces operational risk while maintaining compliance and control. Ambient Mesh simplifies service mesh adoption while lowering infrastructure costs.

Traefik Mesh is a user-friendly and easily configurable service mesh that facilitates the visibility and management of traffic flows within any Kubernetes cluster. By enhancing monitoring, logging, and visibility while also implementing access controls, it enables administrators to swiftly and effectively bolster the security of their clusters. This capability allows for the monitoring and tracing of application communications in a Kubernetes environment, which in turn empowers administrators to optimize internal communications and enhance overall application performance. The streamlined learning curve, installation process, and configuration requirements significantly reduce the time needed for implementation, allowing for quicker realization of value from the effort invested. Furthermore, this means that administrators can dedicate more attention to their core business applications. Being an open-source solution, Traefik Mesh ensures that there is no vendor lock-in, as it is designed to be opt-in, promoting flexibility and adaptability in deployments. This combination of features makes Traefik Mesh an appealing choice for organizations looking to improve their Kubernetes environments.

Artifact Registry serves as Google Cloud's comprehensive and fully managed solution for storing packages and containers, focusing on efficient artifact storage and dependency oversight. It provides a central location for hosting various types of artifacts, including container images (Docker/OCI), Helm charts, and language-specific packages such as Java/Maven, Node.js/npm, and Python, ensuring quick, scalable, reliable, and secure operations, complemented by integrated vulnerability scanning and access control based on IAM. The platform integrates effortlessly with Google Cloud's CI/CD solutions, which include Cloud Build, Cloud Run, GKE, Compute Engine, and App Engine, while also enabling the creation of regional and virtual repositories fortified with finely-tuned security protocols through VPC Service Controls and encryption keys managed by customers. Developers gain from the standardized support of the Docker Registry API alongside extensive REST/RPC interfaces and options for transitioning from Container Registry. Furthermore, the platform is backed by continuously updated documentation that covers essential topics, including quickstart guides, repository management, access configuration, observability tools, and detailed instructional materials, ensuring users have the resources they need to maximize their experience. This robust support infrastructure not only aids in efficient artifact management but also empowers developers to streamline their workflows effectively.

Digital.ai Release, previously known as XebiaLabs XL Release, serves as a specialized tool for release management within Continuous Delivery (CD) workflows. This platform empowers teams throughout an organization to design and oversee releases, streamline IT tasks through automation, and enhance release durations by scrutinizing and refining their processes. By facilitating automation and orchestration, it provides comprehensive visibility into release pipelines, even on an enterprise scale. Users can efficiently manage complex release pipelines while planning, automating, and analyzing every aspect of the software delivery process. It allows for the control and enhancement of software delivery efforts, ensuring that users are always informed about the status of both automated and manual tasks within the release pipeline. The tool helps identify potential bottlenecks, minimize errors, and mitigate the risks associated with release failures. Additionally, it offers the capability to monitor the entire release process, providing up-to-date status information across various tools and systems, from code development to production deployment. Users can also personalize dashboards to emphasize the most crucial data for each specific release, enhancing the overall management experience. This level of customization ensures that teams can focus on what matters most, leading to more efficient and successful releases.

Tanzu Observability by Broadcom is an advanced observability solution designed to provide businesses with deep visibility into their cloud-native applications and infrastructure. The platform aggregates metrics, traces, and logs to deliver real-time insights into application performance and operational health. By leveraging AI and machine learning, Tanzu Observability automatically detects anomalies, accelerates root cause analysis, and offers predictive analytics to optimize system performance. With its scalable architecture, the platform supports large deployments, enabling businesses to manage and improve the performance of their digital ecosystems efficiently.

Ozone platform allows enterprises to quickly and securely ship modern applications. Ozone eliminates the need to manage too many DevOps tools, making it easy to deploy applications on Kubernetes. Integrate all your existing DevOps tools to automate your application delivery process. Automated pipeline workflows make deployments faster and allow for on-demand infrastructure management. Enforce compliance policies and governance for app deployments at scale to prevent business losses. One pane of glass, where engineering, DevOps, and security teams can collaborate on app releases in realtime.

Manage and connect applications seamlessly across various clusters, cloud environments, and data centers. Facilitate application connectivity across diverse infrastructures using a unified management platform. Incorporate traditional workloads into your cloud-native application framework effectively. Establish tenants within your organization to implement detailed access controls and editing permissions for teams sharing the infrastructure. Keep track of the change history for services and shared resources from the very beginning. Streamline traffic management across failure domains, ensuring your customers remain unaware of any disruptions. TSB operates at the application edge, functioning at cluster ingress and between workloads in both Kubernetes and traditional computing environments. Edge and ingress gateways efficiently route and balance application traffic across multiple clusters and clouds, while the mesh framework manages service connectivity. A centralized management interface oversees connectivity, security, and visibility for your entire application network, ensuring comprehensive oversight and control. This robust system not only simplifies operations but also enhances overall application performance and reliability.

Outline your cloud-native infrastructure and manage it as a systematic approach. Create a configuration for your service mesh alongside the deployment of workloads. Implement smart canary strategies and performance profiles while managing the service mesh pattern. Evaluate your service mesh setup based on deployment and operational best practices utilizing Meshery's configuration validator. Check the compliance of your service mesh with the Service Mesh Interface (SMI) standards. Enable dynamic loading and management of custom WebAssembly filters within Envoy-based service meshes. Service mesh adapters are responsible for provisioning, configuration, and management of their associated service meshes. By adhering to these guidelines, you can ensure a robust and efficient service mesh architecture.

Empower both developers and operations teams with the self-service capabilities and automation they crave, while maintaining an optimal balance of standardization and governance that the organization necessitates. Manage and define configurations centrally using Git for clusters that include security policies and software enhancements like service mesh, ingress controllers, monitoring, logging, and backup and recovery solutions. The management of blueprints and the lifecycle of add-ons can be seamlessly implemented for both new and existing clusters from a central point. Additionally, blueprints can be shared among various teams, ensuring centralized oversight of the add-ons utilized throughout the organization. In dynamic environments that demand rapid development cycles, users can transition from a Git push to an updated application on managed clusters in mere seconds, achieving this over 100 times daily. This approach is especially advantageous for development settings where changes are made with high frequency, thus fostering a more agile workflow. By streamlining these processes, organizations can significantly enhance their operational efficiency and responsiveness.

Google Cloud's Eventarc is a comprehensive, managed solution that empowers developers to establish event-driven architectures by channeling events from multiple sources to designated endpoints. It captures events generated within a system and forwards them to chosen destinations, promoting the development of loosely connected services that respond aptly to changes in state. Supporting events from a range of Google Cloud services, bespoke applications, and external SaaS providers, Eventarc offers significant versatility in designing event-driven applications. Developers have the capability to set up triggers that direct events to various endpoints, such as Cloud Run services, which enhances the responsiveness and scalability of application structures. Furthermore, Eventarc guarantees secure event transmission by incorporating Identity and Access Management (IAM), which facilitates meticulous access control over the processes of event ingestion and handling. This robust security feature ensures that only authorized users can manage events, thereby maintaining the integrity and confidentiality of the data involved.

Spinnaker is an open-source platform designed for multi-cloud continuous delivery, enabling rapid and confident software deployment. Initially developed by Netflix, it has proven its reliability in production environments across numerous teams and millions of deployments. The platform boasts a robust pipeline management system along with seamless integrations with major cloud service providers. Users can deploy applications across a variety of cloud infrastructures such as AWS EC2, Kubernetes, Google Compute Engine, Google Kubernetes Engine, Google App Engine, Microsoft Azure, Openstack, Cloud Foundry, and Oracle Cloud Infrastructure, with support for DC/OS on the horizon. It allows for the creation of deployment pipelines that can conduct integration and system testing, manage server groups dynamically, and provide monitoring for rollout processes. Pipelines can be triggered through various events, including git actions, Jenkins, Travis CI, Docker, CRON jobs, or even other Spinnaker pipelines. Furthermore, Spinnaker enables the creation and deployment of immutable images, which can lead to quicker rollouts and simpler rollbacks, while also addressing issues related to configuration drift that are often difficult to troubleshoot. Overall, Spinnaker empowers teams to streamline their software delivery processes and embrace a more agile and efficient deployment strategy.

You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.

Levo.ai provides enterprises with unparalleled visibility into their APIs, while discovering and documenting all internal, external, and partner/third party APIs. Enterprises can see the risk posed by their apps, and can prioritize it based upon sensitive data flows and AuthN/AuthZ usage. Levo.ai continuously tests all apps and APIs for vulnerabilities as early as possible in the SDLC.