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4 Rs for Scaling your testing? The first steps towards a rewarding engagement

Trigent

Expanding nature of products, need for faster releases to market much ahead of competition, knee jerk or ad hoc reactions to newer revenue streams with products, ever increasing role of customer experience across newer channels of interaction, are all driving the need to scale up development and testing. Partner with us.

Testing 98
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How to Prepare for Tech Interviews? Essential Steps for Success in 2023

The Crazy Programmer

The Technical Interview Itself Now, this is your final step where all the preparation you’ve done will come to the test. Then comes Software Development Life Cycle (SDLC) knowing the different types of models and steps in SDLC.

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Software Engineering Daily: Feature Flags with Edith Harbaugh

LaunchDarkly

Edith shares insights around implementing feature flags, how they can be used to better control product releases, and how they can be used for testing and validation. A slow rollout to an increasing population of users allows you to test your software in multiple real-world environments before it goes live to everyone.

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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

Even if they do, many projects get stuck in the ever-so-fragile SDLC. Not only does Kubernetes help you orchestrate microservices at scale (with must-have’s like load balancing, autoscaling, and ingress-management), but it provides superb failover protection to ensure that workloads run smoothly across all microservices.

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Cloud native architecture – the modern way to develop Software

Apiumhub

Orchestration is critical to the SDLC to smoothen, trigger, and advance the provisioning and configuring of applications. Taking advantage of continuous deployment, new web servers, databases, and load balancers are integrated to automate the DevOps process. Dynamic Orchestration. Containerization.