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AWS – Amazon Managed Service for Prometheus now supports VPC endpoint policies
Amazon Managed Service for Prometheus now supports VPC endpoint policies configured using Amazon Virtual Private Cloud (Amazon VPC). Amazon Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring service that monitors and alarms on operational metrics at scale. It does this without you having to manage the underlying infrastructure required to scale and secure […]

GCP – Collateral IT: Optimizing HSBC asset allocation with Google Cloud
Have you ever heard of an optimization problem? Imagine you have a million marbles, all of different sizes, colors, patterns, and weights. You need to fill up 1,000 jars of different sizes with them, but each jar has restrictions as to which colors, patterns, and how many marbles of each type it can hold. After […]

GCP – IT prediction: Barriers between transactional and analytical workloads fall away
Editor’s note: This post is part of an ongoing series on IT predictions from Google Cloud experts. Check out the full list of our predictions on how IT will change in the coming years. Prediction: The barriers between transactional and analytical workloads will mostly disappear Traditionally, transactional and analytical workloads have had separate data architectures. […]

GCP – An Introduction to IPv6 on Google Cloud
It is no secret that the Internet Protocol (IP) standard’s IPv4 address scheme will eventually run out of IP addresses. Today’s technological advancements such as 5G, Internet of Things, mobile applications, connected devices, serverless and container-based services are accelerating an industry-wide move to IPv4’s successor, IPv6. Many enterprises are increasingly leaning towards IPv6 addressing for […]

GCP – How SolarWinds still affects supply chain threats, two years later
Our quarterly Security Talks series brings together experts from Google Cloud Security teams and the industry to share information on our latest security products, innovations and best practices. Below is an introduction to Mandiant’s Security Talks presentation on Dec. 7, Mandiant Tales from the Front Lines: Activate Cyber Defenses Against Supply Chain Compromise. The discovery […]

GCP – The Squire’s guide to automated deployments with Cloud Build
Audience: (Intermediate level) Targeting readers that have not yet interacted with Google Cloud before, but have engineering continuous integration, package management, beginner-level container and messaging experience. Requiring these individuals to have a pre-existing frontend application and supporting API server locally in place. Technologies: Cloud BuildCloud Build TriggersArtifact RegistryCloud RunPub/Sub Requirements before getting started: Functional client-side […]

GCP – Perform hyperparameter tuning using R and caret on Vertex AI
To produce any sufficiently accurate machine learning model, the process requires tuning parameters and hyperparameters. Your model’s parameters are variables that your chosen machine learning technique uses to adjust to your data, like weights in neural networks to minimize loss. Hyperparameters are variables that control the training process itself. For example, in a multilayer perceptron, […]

GCP – Google Cloud Memorystore for Redis Best Practices – Tips for a highly performant and worry-free deployment.
Practices Tips for a Highly Performant and Worry-free Deployment Memorystore is a fully managed implementation of the open source in-memory databases Redis and Memcached. Memorystore makes it easy to build applications on Google Cloud to leverage in-memory stores based on open source Redis and Memcached. Many applications deployed in the cloud today use an in-memory […]

GCP – Geodata to the rescue: How the Düsseldorf Fire Department uses Google Cloud
Lesen Sie den Beitrag hier auf Deutsch Whether it’s a sprained foot or a burning building: when someone needs help, fire and emergency services come to the rescue. Being in charge of all fire, rescue, and first responder services is a huge responsibility, and it’s growing: urban areas are changing, and climate change brings new […]
AWS – Amazon SageMaker Experiments launches new capabilities to manage ML experiments performed in diverse IDEs
Amazon SageMaker Experiments now supports tracking and analysis of machine learning (ML) experiments performed in any IDE (e.g., SageMaker Studio, JupyterHub) or executable code (e.g., local notebooks, scripts) using the SageMaker Python SDK or Boto3. You can track the inputs, parameters, configurations, and results of your ML training iterations. You can assign, group, and organize these […]