Let's continue our exploration of Python's magic methods in this second part of the series. This part will focus on numbers and containers, i.e., collections.
AI-powered platform overcomes digital fragmentation and empowers developers, enabling companies to realize business value from their data more quickly.
Brief overview of Apache Kafka and common use cases, current tools to scale multi-cluster deployments, and connectivity solutions to simplify multi-cluster deployments.
Use the AWS Go SDK and Amazon Bedrock Foundation Models (FMs) for tasks such as content generation, building chat applications, and handling streaming data.
Discuss the rise of multi-cloud architectures and how businesses are leveraging multiple cloud providers to improve redundancy, reduce risk, and enhance flexibility.
Taras Oleksyn shares her career path in automated QA, the value of communication, AI testing, and leveraging all the side experience to become a top-tier IT expert.
Exploring the impact of big data on data integration, from challenges like volume and speed to innovative solutions like modern ETL, iPaaS, and AI-driven strategies.
To reduce the total cost of ownership, choose the right abstractions. And if you are looking for generative AI to cut your TCO by writing code, think twice.
Delve into the multifaceted complexities of a distributed Kubernetes ecosystem and cost implications; discuss the recommended FinOps practices for Kubernetes.
Learn how to write automated tests in order to ensure that given Spring features are used properly and discover generic advice on how to improve unit tests.
Discover the impact of Big Data on Software Testing. Learn how vast data sets can improve testing strategies and drive software development efficiency.
This article will explore a step-by-step guide on deploying the ELK Stack on Kubernetes. By the end of this guide, you'll have a fully functional ELK stack setup.