Broadcom announced the general availability of VMware Tanzu Platform 10 that establishes a new layer of abstraction across Cloud Foundry infrastructure foundations to make it easier, faster, and less expensive to bring new applications, including GenAI applications, to production.
CTO.ai announced the launch of its serverless Kubernetes platform that makes it easy for developers to deploy and manage their cloud native applications.
This powerful, yet easy-to-use, platform makes product delivery teams more efficient and eliminates the complexity experienced by developers when applications are deployed on top of a self-managed Kubernetes cluster. The CTO.ai platform was created to address lost developer productivity, much of which comes from complex modern cloud tooling.
Software teams typically spend inordinate amounts of time and money creating their own custom workflow tools or must buy several specialized tools that need to be integrated to make managing Kubernetes easier for their developers. The CTO.ai platform eliminates this issue by enabling software developers to easily adopt Kubernetes at any stage of development, without the exponential cost of retraining, hiring, or manually building the developer workflows needed to operate Kubernetes efficiently. Startups can use the platform to host a monolith or microservice based application; enterprises can layer the platform into their own private cloud cluster using a service mesh.
“We love Kubernetes, but anyone with experience knows that it can be complex to manage and scale. Our platform addresses this by providing software teams of any size with an unmatched PaaS-like developer experience for their cloud native application development workflows.” said Kyle Campbell, Founder and CEO of CTO.ai.
The CTO.ai platform enables developers to easily manage all of their CI/CD, staging, and production systems on top of a shared Kubernetes cluster, without forcing them to manage Kubernetes directly. As deployments scale, companies have the option to offload their cost of compute to public cloud providers like AWS via the CTO.ai service mesh, which enables them to bring down their cost to scale and internalize their infrastructure operations directly.
The platform also monitors delivery workflows and provides stakeholders delivery insights so they can better understand their operational cadence for estimation or planning. Insights are calculated in real time from events that happen across their workflow systems and this enables teams to measure important metrics like deployment status, velocity, and stability.
The CTO.ai mission is to simplify adoption of Kubernetes for developers, enabling them to make use of world class tooling but without being forced to compete for scarce DevOps talent to do so. From startups to enterprises, development teams at all levels can benefit from the efficiencies delivered by the CTO.ai platform. It enables a consolidated strategy for delivery systems and provides data-driven insights into delivery cadence. Optimized for fast-paced product delivery, the CTO.ai platform helps startups speed time-to-market since it doesn’t require the support of hard-to-hire DevOps engineers. Enterprises can accelerate their digital transformation and lower their cost of digital teams by consolidating their delivery systems and adopting a data-driven approach to development.
CTO.ai has been developing this platform over the past three years with support and input from the DevOps teams at venture funded startups such as Axial, TrueBill, Cedar, YellowDig, and Remine, as well as others in the DevOps community.
Industry News
Tricentis announced the expansion of its test management and analytics platform, Tricentis qTest, with the launch of Tricentis qTest Copilot.
Redgate is introducing two new machine learning (ML) and artificial intelligence (AI) powered capabilities in its test data management and database monitoring solutions.
Upbound announced significant advancements to its platform, targeting enterprises building self-service cloud environments for their developers and machine learning engineers.
Edera announced the availability of Am I Isolated, an open source container security benchmark that probes users runtime environments and tests for container isolation.
Progress announced 10 years of partnership with emt Distribution — a leading cybersecurity distributor in the Middle East and Africa.
Port announced $35 million in Series B funding, bringing its total funding to $58M to date.
Parasoft has made another step in strategically integrating AI and ML quality enhancements where development teams need them most, such as using natural language for troubleshooting or checking code in real time.
MuleSoft announced the general availability of full lifecycle AsyncAPI support, enabling organizations to power AI agents with real-time data through seamless integration with event-driven architectures (EDAs).
Numecent announced they have expanded their Microsoft collaboration with the launch of Cloudpager's new integration to App attach in Azure Virtual Desktop.
Progress announced the completion of the acquisition of ShareFile, a business unit of Cloud Software Group, providing a SaaS-native, AI-powered, document-centric collaboration platform, focusing on industry segments including business and professional services, financial services, industrial and healthcare.
Incredibuild announced the acquisition of Garden, a provider of DevOps pipeline acceleration solutions.
The Open Source Security Foundation (OpenSSF) announced an expansion of its free course “Developing Secure Software” (LFD121).
Redgate announced that its core solutions are listed in Amazon Web Services (AWS) Marketplace.
LambdaTest introduced a suite of new features to its AI-powered Test Manager, designed to simplify and enhance the test management experience for software development and QA teams.