Remove Azure Remove Events Remove GCP(Google Cloud Platform) Remove Metrics
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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). The warehouse is then optimized for efficient access (typically through SQL) to that data, with a number of other properties layered in (like governance, access, security, etc).

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Understanding Multi-tenancy, the Keystone of SaaS

CloudGeometry

Another essential benefit of identity in a tenant context is that it aids in capturing and analyzing events from logs & metrics. By cross-referencing such events to specific tenants and users, SaaS businesses can achieve visibility is critical to a workload’s operation. Amazon Cognito) can be used for access authorization.

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Moving ChartMogul to AWS and Kubernetes

Chart Mogul

We researched the market and discovered many tradeoffs and advantages a new provider could bring to the table. Our options were Amazon Web Services (AWS), Google Cloud (GCP), and Azure. Managed Kubernetes was another major factor to consider, and this was head to head with Google Cloud (GCP). Team expertise.

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Best Website Monitoring Services

Neil Patel

Consider also that the Google algorithm ranks websites by load speed, among other metrics. Special events like Black Friday sales or the holiday season come to mind. From here, the script collects data from users across various performance metrics and reports back to the RUM interface. Load Testing.