article thumbnail

Can we trust Google Cloud Load Balancing?

Xebia

During our work in the field we get a lot of questions regarding security and compliance. With Cloud getting a more prominent place in the digital world and with that Cloud Service Providers (CSP), it triggered the question on how secure our data with Google Cloud actually is when looking at their Cloud Load Balancing offering.

article thumbnail

Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. A lending company uses MaestroQA to detect compliance risks on 100% of their conversations.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach. API Gateway also provides a WebSocket API.

article thumbnail

VPC Service Controls – A step by step guide

Xebia

For ingress access to your application, services like Cloud Load Balancer should be preferred and for egress to the public internet a service like Cloud NAT. This is for a number of organizations a real problem, where they are subject to compliance with policies and regulations like the GDPR, HIPAA and NIS2(/NIST).

Policies 130
article thumbnail

Google opens second cloud region in Germany

CIO

Other services, such as Cloud Run, Cloud Bigtable, Cloud MemCache, Apigee, Cloud Redis, Cloud Spanner, Extreme PD, Cloud Load Balancer, Cloud Interconnect, BigQuery, Cloud Dataflow, Cloud Dataproc, Pub/Sub, are expected to be made available within six months of the launch of the region.

Cloud 148
article thumbnail

AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. Compliance, Security and Disaster Recovery. What Are the Advantages of AWS? Let’s look at some of the major advantages of AWS: Ease of Sign-Up.

article thumbnail

Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

Additionally, SageMaker endpoints support automatic load balancing and autoscaling, enabling your LLM deployment to scale dynamically based on incoming requests. During non-peak hours, the endpoint can scale down to zero , optimizing resource usage and cost efficiency.