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Complete Automation Testing — Is It Feasible?

DZone

It is a fact that software testing is time and resources consuming. Testing the software can be observed from different perspectives. It can be divided based on what we are testing. For example, each deliverable in the project, like the requirements, design, code, documents, user interface, etc., should be tested.

Testing 246
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Don't rely on end-to-end tests: design for failure instead.

DZone

We typically understand software testing by the everyday definition of the word: making sure a piece of software performs the way it is supposed to in a production-like environment. For a complex distributed application with several external dependencies there is nothing that can beat a full end-to-end test. Or is there?

Design 193
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Percona PG_TDE and Ubuntu: Please Test Transparent Data Encryption for PostgreSQL

Percona

PostgreSQL differs from certain other databases as it lacks a native solution to encrypt data on disk transparently. At Percona, we are in the process of developing PG_TDE, a tool designed to encrypt data using the AES-CTR encryption algorithm.

Testing 93
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

Cache 204
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How Dynatrace empowers performance engineering teams to test at scale

Dynatrace

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). How can organizations address this process bottleneck and run more tests in less time?

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Accelerate and empower Site Reliability Engineering with Dynatrace observability

Dynatrace

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. A few avenues for elevating CI/CD pipelines are: Enhancing the extent of automated test coverage during the testing phase.

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Artificial Intelligence in Cloud Computing

Scalegrid

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.