As data-driven decision-making becomes a cornerstone of business strategy, managing large volumes of data efficiently and effectively is more critical than ever. Google BigQuery, a serverless, highly scalable, and cost-effective multi-cloud data warehouse, offers unique architecture and unparalleled integration with Google Cloud Platform (GCP) services. However, migrating and optimising data pipelines in BigQuery can present challenges.

Customer Identity and Access Management (CIAM), a subgenre of IAM, enables organizations to scale and ensure secure, seamless digital experiences for their customers, while collecting and managing customer identity data purposefully. Powerful CIAM solutions provide a variety of key features including customer registration, social logins, account verification, self-service account management, consent and preference management, single sign-on (SSO), multi-factor authentication (MFA), and adaptive authentication as well as other nice-to-have features.

There are many ways to bootstrap tests and mocks within Speedscale. Matt LeRay goes over various ways, eg. by using sidecars, agents, postman collections, or even request response pairs.

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insightsoftware introduced 24.3 version of Process Runner with exciting new features. As part of the latest release, AI Doc Assist has been incorporated into Process Runner Cloud Hub and Process Runner Excel Add-in. The Dashboard feature of Cloud Hub is now updated with Summary, Product, and Group Metrics charts and Run Statistics reports.

Mocks can be useful, but hard to build. You can use them as backends for development, or even tests (like load and performance testing). Speedscale takes the legwork out of building mocks, by modeling them after real observed traffic. This video covers a real-world example of how to use mocks to backend a JMeter load test.

Check out Matt LeRay's talk on How to Test in Kubernetes at Star WEST 2024. Distributed architectures like Kubernetes present unique performance challenges. Autoscaling, Load Balancing and other mechanisms help with resiliency but can also serve to cover up fundamental problems. In this video, learn best practices and high level concepts around Kubernetes and achieving high throughput.

Building and debugging Kubernetes microservices can be tough, especially when you don't have realistic data or environments. See how Speedscale can quickly mock DBs and APIs based on observed production behavior, so you can debug and develop features quickly. People familiar with GoReplay will notice a more modern and automated approach to turning user behavior into reproducible developer environments.

In this video, we will learn how to add tags to a Data Asset in Astera's Data Governance Platform.

Testers, how can you prepare for Black Friday? @MarcusMerrell suggests running real practice drills. Build an environment as close to production as possible and simulate an outage with your team to see how prepared you really are. These drills help reveal issues in your response process that you might not realize until it’s too late. By practicing in a realistic environment, your teams get more confidence handling real-world outages.