How To Manage Your GraphQL APIs With Apigee

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AgroScout Improves Development And DevOps With Oracle Cloud Native Services

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EngineeringPeople

Google Cloud hackathon On 10th April 2022, Google Cloud launched the first Singapore Google Cloud Hackathon, where startup teams were tasked to build solutions for either the topics of Sustainability, Artificial Intelligence, Automation or the New Normal, to create innovative solutions and have the opportunity to win prizes. From April to 10th June, Google Cloud …

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DevOpsEngineeringPractices

Many organizations struggle to create data-driven cultures where each employee is empowered to make decisions based on data. This is especially true for enterprises with a variety of systems and tools in use across different teams. If you are a leader, manager, or executive focused on how your team can leverage Google’s SRE practices or …

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DataEngineering

  In the past decade, we have experienced an unprecedented growth in the volume of data that can be captured, recorded and stored.  In addition, the data comes in all shapes and forms, speeds and sources. This makes data accessibility, data accuracy, data compatibility, and data quality more complex than ever more. Which is why …

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Engineering

Google has more than 20 years of experience protecting its core service from Distributed Denial of Service (DDoS) attacks and from the most advanced web application attacks. With Cloud Armor, we have enabled our customers to benefit from our extensive experience of protecting our globally distributed products such as Google Search, Gmail, and YouTube. In …

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DesignEngineeringPractices

When you provision workloads in the cloud to serve an application, having a load balancer (LB) at the front end of the application or service is strongly recommended. Load Balancers redirect user application requests to various backends (Instance groups, Network Endpoint Groups , Cloud Storage etc) that have the capacity to serve the request. Load …

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DataEngineering

Pub/Sub’s ingestion of data into BigQuery can be critical to making your latest business data immediately available for analysis. Until today, you had to create intermediate Dataflow jobs before your data could be ingested into BigQuery with the proper schema. While Dataflow pipelines (including ones built with Dataflow Templates) get the job done well, sometimes …

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AutomationEngineeringPeopleSolutions

Editor’s note: This blog was originally published by Siemplify on Feb. 19, 2021. The number of unfilled cybersecurity jobs stretches into the millions, and a critical part of the problem is the length of time it takes to backfill a position. Industry group ISACA has found that the average cybersecurity position lies vacant for up …

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ComputingEngineering

This blog presents an open-source solution to heterogeneous graph sub-sampling at scale using Google Cloud Dataflow (Dataflow). Dataflow is Google’s publicly available, fully managed environment for running large scale Apache Beam compute pipelines. Dataflow provides monitoring and observability out of the box and is routinely used to scale production systems to easily handle extreme datasets. …

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DataDesignEngineeringPractices

Preventing data breaches is an important priority when creating and managing database environments. Ensuring user and application passwords meet high security standards is crucial for reducing risk and helping to achieve compliance with best practices and regulatory standards. To address these concerns, we are thrilled to announce the general availability of Local Users Password Validation …

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EngineeringPractices

Once you have identified who a user is (authenticated them) using Cloud Identity, the next step is to define what they can do on Google Cloud (authorize them) so they can access the resources they are permitted to use. Access control for Google Cloud resources is managed by Cloud IAM policies for humans and by …

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