Pegasystems announced the general availability of Pega Infinity ’24.1™.
Intel Granulate announced the release of the Auto-Pilot functionality for recommendation implementation in its Kubernetes Optimization solution.
This feature allows Kubernetes users to opt into autonomous optimization, which automatically and continuously adapts resource requests and HPA settings in real-time to reduce CPU and memory overhead, savings of up to 45% while adhering to the user’s performance requirements.
This is a significant advancement for Kubernetes users, whether self-managed, EKS, AKS, GKE, OpenShift or even a federated cluster, with DevOps professionals standing to benefit particularly. The Auto-Pilot functionality not only optimizes on the Kubernetes layer, but also integrates seamlessly with Intel Granulate’s unique app-level optimization capabilities. This dual-level optimization achieves enhanced performance and lower costs compared to competitor offerings that are hyper-focused on Kubernetes rightsizing or bin-packing.
"With this added auto-pilot capability to Intel Granulate’s capacity optimization, we are able to offer a holistic solution that empowers Kubernetes users to reduce overprovisioning while avoiding higher latency and throttling," said Asaf Ezra, CEO at Intel Granulate.
Intel Granulate’s Kubernetes Optimization solution provides several unique benefits for engineers managing orchestrated applications:
- Effortlessly Eliminate over-provisioning: Let the Auto-Pilot automatically rightsize your workloads and pay only for what you use
- Optimize across the cloud stack: Gain holistic, multi-level performance improvements by combining autonomous runtime optimization and Kubernetes rightsizing
- Gain full customization and visibility of your clusters: Easily configure your capacity optimization to your application’s needs, whether per cluster or label, to discover CPU, memory and cost reduction opportunities
- Ensure optimal performance: Keep your competitive SLAs while reducing your Kubernetes costs without compromising resiliency, availability or stability.
Industry News
Mend.io and Sysdig unveiled a joint solution to help developers, DevOps, and security teams accelerate secure software delivery from development to deployment.
GitLab announced new innovations in GitLab 17 to streamline how organizations build, test, secure, and deploy software.
Kobiton announced the beta release of mobile test management, a new feature within its test automation platform.
Gearset announced its new CI/CD solution, Long Term Projects in Pipelines.
Rafay Systems has extended the capabilities of its enterprise PaaS for modern infrastructure to support graphics processing unit- (GPU-) based workloads.
NodeScript, a free, low-code developer environment for workflow automation and API integration, is released by UBIO.
IBM announced IBM Test Accelerator for Z, a solution designed to revolutionize testing on IBM Z, a tool that expedites the shift-left approach, fostering smooth collaboration between z/OS developers and testers.
StreamNative launched Ursa, a Kafka-compatible data streaming engine built on top of lakehouse storage.
GitKraken acquired code health innovator, CodeSee.
ServiceNow introduced a new no‑code development studio and new automation capabilities to accelerate and scale digital transformation across the enterprise.
Security Innovation has added new skills assessments to its Base Camp training platform for software security training.
CAST introduced CAST Highlight Extensions Marketplace — an integrated marketplace for the software intelligence product where users can effortlessly browse and download a diverse range of extensions and plugins.
Red Hat and Elastic announced an expanded collaboration to deliver next-generation search experiences supporting retrieval augmented generation (RAG) patterns using Elasticsearch as a preferred vector database solution integrated on Red Hat OpenShift AI.
Traceable AI announced an Early Access Program for its new Generative AI API Security capabilities.