Remove automated-testing-and-monitoring
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DevOps Lifecycle: Definition, Phases

Knowledge Hut

The DevOps life cycle is designed to cover all aspects of application development and deployment, including change management, testing, monitoring, and other quality assurance processes. It allows organizations to develop, test and deploy applications more quickly while providing better service to customers. What is DevOps?

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The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring

DataKitchen

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. Data Ingestion: Continuous monitoring of data ingestion ensures that updates to existing data sources are consistent and accurate.

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The Five Use Cases in Data Observability: Mastering Data Production

DataKitchen

Data Ingestion: Continuous monitoring of data ingestion ensures that updates to existing data sources are consistent and accurate. During these processes, monitoring and validating data at each step of the production process is vital to detect any discrepancies, errors, or inefficiencies that might compromise the final products.

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DevOps Practices: Learn How to Implement Best Practices for DevOps

Edureka

These include both DevOps architecture and monitoring best practices. Shift Left with CI/CD ’Shift Left’ means integrating and testing code as often as possible as soon as it is developed. Continuous Integration/Continuous Deployment (CI/CD) pipelines automate the process of application building, testing, and deployment.

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What Is MLOps?

Edureka

It involves collaboration between data scientists, ML engineers, and IT professionals to automate and optimize the end-to-end process of building, deploying, and maintaining machine learning applications. However, building and deploying these models is just the beginning. This is where MLOps (Machine Learning Operations) comes into play.

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DevOps Methodologies: Understanding the Practices & Principles

Knowledge Hut

In addition, DevOps also helps to speed up the software development process by automating many tasks. This includes tasks such as builds, DevOps deployment , and testing. Automating tasks and promoting collaboration, it can easily help teams to develop and deploy new software updates faster and with fewer errors.

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From Cloud-native to Hybrid and back again

Picnic Engineering

Almost two years ago, we launched an automated grocery warehouse. In our automated warehouse, response time is important for various reasons. Other companies, such as Picnic, have started in the cloud and are running a modern cloud native tech stack from the outset. The most important one is for timely decisions on the conveyor belts.

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