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How to create and deploy a Slackbot on Google Cloud Platform in less than 5 minutes

Xebia

In this blog I will show you how to create and deploy a Slackbot on Google Cloud Platform in less than 5 minutes using copier template. it provides a CI/CD pipeline using Google CloudBuild to build and deploy the application and infrastructure changes. To write a bot for Slack is not too difficult. py │ ├── __main__.py

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Getting infrastructure right for generative AI

CIO

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. As CIOs respond to corporate mandates to “just do something” with genAI, many are launching cloud-based or on-premises initiatives. of AI storage in 2022 to 30.5%

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AWS vs Azure vs Google Cloud – Which Cloud Platform Should You Choose for Your Enterprise?

KitelyTech

With so many different options available, such as AWS, Azure, and Google Cloud, it is important to understand the differences between each platform and how they can best meet your business needs. Cloud computing is the process of storing and accessing data over the internet, rather than a computer’s hard drive.

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Google Cloud Functions with Terraform

OpenCredo

Google Cloud Functions is the Google Cloud Platform (GCP) function-as-a-service offering. It allows you to execute your code in response to event triggers – HTTP , PubSub and Storage. When using Hashicorp Terraform to create your infrastructure, it was previously not possible to create Google Cloud Functions.

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From Data Swamp to Data Lake: Data Catalog

Perficient

The data catalog provides clarity into data definitions, synonyms, and essential business attributes so all knowledge workers understand and can leverage data as an asset. Integrations with BigQuery, Pub/Sub, Cloud Storage, and many connectors provide a unified view and tagging mechanism for technical and business metadata.

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JLL reinvents itself for the AI era

CIO

At the heart of JLL’s transformation into a technology provider is the cloud infrastructure JLL built using AWS, Google Cloud Platform, and Microsoft Azure, as well as Snowflake for data storage and Azure AI and Databricks for AI models.

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Aaand the New NiFi Champion is…

Cloudera

RK built some simple flows to pull streaming data into Google Cloud Storage and Snowflake. Many developers use DataFlow to filter/enrich streams and ingest into cloud data lakes and warehouses where the ability to process and route anywhere makes DataFlow very effective. Congratulations Vince!