Systems | Development | Analytics | API | Testing

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.

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.

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.

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.

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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.

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.

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.

Delivering high-quality digital experiences during the holiday season is crucial, with 30% of annual revenue on the line. Developers need scalable, secure, and compliant infrastructure to ensure smooth releases and easy software testing. However, over 60% of developers admit to releasing untested code to meet deadlines, risking bugs and jeopardizing customer experience and revenue. Listen to the discussion about how to mitigate risk, catch bugs earlier, and test securely at scale in preparation for a busy holiday season.

Is manual testing enough to keep up with the speed of modern development? @Allen Loew from Progressive Leasing explains that while there’s still a place for manual testing in specific cases, automation is becoming a necessity. Automation helps teams maintain the velocity required to meet deadlines. As projects grow in complexity and size, automation is essential to manage large volumes of tests and data efficiently.