Tag: autoscaling
-
Hacker News: Kubernetes horizontal pod autoscaling powered by an OpenTelemetry-native tool
Source URL: https://www.dash0.com/blog/autoscaling-your-kubernetes-application-with-dash0 Source: Hacker News Title: Kubernetes horizontal pod autoscaling powered by an OpenTelemetry-native tool Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an in-depth analysis of the Horizontal Pod Autoscaler (HPA) in Kubernetes and its ability to automate application scaling based on telemetry data, emphasizing the importance of application-level…
-
Cloud Blog: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/preprocessing-large-datasets-with-ray-and-gke/ Source: Cloud Blog Title: Distributed data preprocessing with GKE and Ray: Scaling for the enterprise Feedly Summary: The exponential growth of machine learning models brings with it ever-increasing datasets. This data deluge creates a significant bottleneck in the Machine Learning Operations (MLOps) lifecycle, as traditional data preprocessing methods struggle to scale. The…
-
Cloud Blog: Cloud Pub/Sub 2024 highlights: Native integrations, sharing and more
Source URL: https://cloud.google.com/blog/products/data-analytics/pubsub-highlights-of-2024/ Source: Cloud Blog Title: Cloud Pub/Sub 2024 highlights: Native integrations, sharing and more Feedly Summary: In today’s rapidly evolving digital landscape, organizations need to leverage real-time data for actionable insights and improved decision-making. Availability of real-time data is emerging as a key element to evolve and grow the business. Pub/Sub is Google…
-
Cloud Blog: To avoid “bill shocks,” Palo Alto Networks deploys custom AI-powered cost anomaly detection
Source URL: https://cloud.google.com/blog/topics/cost-management/palo-alto-networks-custom-cost-anomaly-detection-with-ai-bill-shocks/ Source: Cloud Blog Title: To avoid “bill shocks,” Palo Alto Networks deploys custom AI-powered cost anomaly detection Feedly Summary: In today’s fast-paced digital world, businesses are constantly seeking innovative ways to leverage cutting-edge technologies to gain a competitive edge. AI has emerged as a transformative force, empowering organizations to automate complex processes,…
-
Cloud Blog: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/moloco-uses-gke-and-tpus-for-ml-workloads/ Source: Cloud Blog Title: Moloco: 10x faster model training times with TPUs on Google Kubernetes Engine Feedly Summary: In today’s congested digital landscape, businesses of all sizes face the challenge of optimizing their marketing budgets. They must find ways to stand out amid the bombardment of messages vying for potential customers’ attention.…
-
Hacker News: I Didn’t Need Kubernetes, and You Probably Don’t Either
Source URL: https://benhouston3d.com/blog/why-i-left-kubernetes-for-google-cloud-run Source: Hacker News Title: I Didn’t Need Kubernetes, and You Probably Don’t Either Feedly Summary: Comments AI Summary and Description: Yes Summary: The author discusses their transition from Kubernetes to Google Cloud Run, highlighting the latter’s cost-effectiveness, simplicity, scalability, and limitations of Kubernetes. This insight is particularly useful for professionals in cloud…
-
Cloud Blog: PyTorch/XLA 2.5: vLLM support and an improved developer experience
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/whats-new-with-pytorchxla-2-5/ Source: Cloud Blog Title: PyTorch/XLA 2.5: vLLM support and an improved developer experience Feedly Summary: Machine learning engineers are bullish on PyTorch/XLA, a Python package that uses the XLA deep learning compiler to connect the PyTorch deep learning framework and Cloud TPUs. And now, PyTorch/XLA 2.5 is here, along with a set…
-
Cloud Blog: Save on GPUs: Smarter autoscaling for your GKE inferencing workloads
Source URL: https://cloud.google.com/blog/products/containers-kubernetes/tuning-the-gke-hpa-to-run-inference-on-gpus/ Source: Cloud Blog Title: Save on GPUs: Smarter autoscaling for your GKE inferencing workloads Feedly Summary: While LLM models deliver immense value for an increasing number of use cases, running LLM inference workloads can be costly. If you’re taking advantage of the latest open models and infrastructure, autoscaling can help you optimize…