Welcome to above the clouds
GCP – Analyze Pacemaker events in Cloud Logging
Customer’s deploying SAP on Google Cloud often leverage Pacemaker for high availability to support their most critical systems. Let’s take a look at how you can use Cloud Logging to easily conduct root cause analysis of Pacemaker clusters. When there are multiple Pacemaker clusters running in Google Cloud platform, a central logging place can help […]
GCP – Application observability made easier for Compute Engine
When IT operators and architects begin their journey with Google Cloud, Day 0 observability needs tend to focus on infrastructure and aim to address questions about resource needs, a plan for scaling, and similar considerations. During this phase, developers and DevOps engineers also make a plan for how to get deep observability into the performance […]
GCP – Best practices for upgrading your Anthos clusters on bare metal
If you’re using Anthos to enable a hybrid or multicloud deployment, one option is to run the Kubernetes-based platform directly on bare metal hardware, without a virtualization layer. Running your applications on Anthos clusters on bare metal delivers strong performance and flexibility, while allowing you to modernize your applications: Anthos clusters on bare metal are […]
GCP – Google Cloud Cortex Framework extends offering in latest release and beyond
Last year we announced an exciting new initiative, Google Cloud Cortex Framework, to accelerate business outcomes with less risk, complexity, and cost. By providing endorsed solution content, including reference architectures, deployment accelerators and integration services for common business scenarios, Google Cloud Cortex Framework helps you kickstart time-to-value to get up and running quickly with Google […]
AWS – Amazon WorkSpaces launches APIs to allow custom branding
Starting today, Amazon WorkSpaces is offering APIs that allow you to customize your users Amazon WorkSpaces experience with your logo, login message, and help links on the WorkSpaces client login page. Using your own brand provides a familiar look and feel when users access your WorkSpaces. Adding your own help links makes it easy for […]
AWS – AWS Glue DataBrew now supports the ORC file format as an input
AWS Glue DataBrew customers are now able to clean and transform data stored in the Optimized Row Columnar (ORC) file format, a widely used data format for storing Hive data. When creating a dataset in AWS Glue DataBrew, you can now use ORC files in addition to already supported Apache Avro, Apache Parquet, Microsoft Excel, […]
AWS – Amazon ElastiCache for Redis now supports Global Datastore in two new Regions
Amazon ElastiCache for Redis now supports Global Datastore in the Asia Pacific (Osaka) and Europe (Stockholm) Regions. Global Datastore is a feature of ElastiCache for Redis that provides fully managed, fast, reliable, and secure cross-Region replication. Using Global Datastore, you can write to your ElastiCache for Redis cluster in one Region and have the data […]
AWS – AWS Security Hub now supports specifying names for custom integrations
AWS Security Hub now supports specifying company and product names for custom integrations, so that you can better search, aggregate, and take action on findings from custom integrations. Security Hub has 75 official integrations, but it also enables you to ingest findings from custom integrations that you build. Previously, the company and product name for […]
AWS – AWS Backup now allows you to restore virtual disks from protected copies of your VMware virtual machines
AWS Backup now provides you with the flexibility to restore individual virtual disks that are attached to your VMware virtual machines (VMs), in addition to allowing you to restore the entire VM from its protected copy. Using AWS Backup, you can restore your VMware virtual disk to a VM in another VMware environment or in AWS […]
AWS – Amazon SageMaker Data Wrangler now supports Databricks as a data source
Amazon SageMaker Data Wrangler reduces the time that it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes in Amazon SageMaker Studio, the first fully integrated development environment (IDE) for ML. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of […]