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Building a Scalable and Reliable Marketing Data Stack on GCP Oct 2nd 2025, 15:00 by Shafeeq Ur Rahaman Creative campaigns are no longer modern marketing; data is. And not any data: clean, contextual, and timely data that fuels specific, personalised experiences that enable quantifiable outcomes. If you have dozens (or hundreds) of campaigns running across platforms such as Google Ads, Meta, and programmatic DSPs, the infrastructure that enables this orchestration is just as important as the insights themselves. Today, scaling a marketing data stack is not about selecting a BI tool or lifting a few datasets to the cloud. It's about architecting a resilient foundation on GCP that can ingest campaign data from multiple sources, support time-zone distributed teams, and power real-time dashboards, all while maintaining governance and operational reliability. Infrastructure as Code (IaC) in a Multi-Cloud Environment: Consistency and Security Issues Oct 2nd 2025, 14:00 by Olha Krasnozhon Relevance of the Study Modern organizations are increasingly turning to cloud technologies to improve the flexibility, scalability, and efficiency of their IT infrastructure. One important tool in this process is Infrastructure as Code (IaC), which allows organizations to describe their infrastructure using code, automate the deployment process, reduce the risk of human error, and ensure consistency across different stages of the application lifecycle. In addition, there is a trend towards multi-cloud architectures, where companies use multiple cloud providers to spread the load, improve fault tolerance, and comply with security and data localization regulations. This approach allows organizations to take advantage of the benefits of different cloud providers while minimizing the risks associated with a single provider. Unpack IPTables: Its Inner Workings With Commands and Demos Oct 2nd 2025, 13:00 by Ramesh Sinha We all know that the internet works by sending and receiving small chunks of data called packets. Back in the early days, when the internet was still in its infancy, packets were allowed to transfer freely across a connected world, however small that world was. Anyone could send packets to your system, and you could send packets to other connected systems. All services running on systems were exposed by default.  As the internet started to grow, problems started to emerge, problems related to security. There are worms, viruses, unauthorized access, denial-of-service (DoS) attacks, IP spoofing, etc. Iptables is an attempt to deal with some of these problems. Salesforce Data Cloud: Setting Up and Using the Ingestion API Oct 2nd 2025, 12:00 by Ramesh Bellamkonda Salesforce Data Cloud offers an integrated solution for ingesting and integrating information about customers to empower businesses to provide personalized experiences at scale. At the center of the platform lies the Ingestion API, which simplifies bringing information into Data Cloud. This piece goes into the technical aspects of the Ingestion API, such as its underlying patterns, implementation, and suggestions for ingesting into Salesforce Data Cloud. Introduction to the Ingestion API The Ingestion API is a RESTful endpoint for ingesting into Salesforce Data Cloud. It provides two primary interaction patterns: Implement a Circuit Breaker for an Unavailable API Service Running in App Connect on CP4I Using Red Hat Service Mesh Oct 2nd 2025, 11:00 by Abhinav Priyadarshi Some applications may not respond during heavy load. These outages are due to out of memory and high CPU utilization when many requests are piled up at the application entry point since the back end is not available. In this article, we will solve this problem using Red Hat OpenShift Service Mesh, which provides a way to stop sending requests to the application or API if it is unhealthy. This article shows how to implement the Circuit Breaker pattern when an application is not responding using Red Hat OpenShift Service Mesh and IBM Cloud Pak for integration — the App Connect API service.

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