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Batch Processing for Data Integration

DZone

Among the spectrum of methodologies available for this task, batch processing is often considered an old guard, especially with the advent of real-time and event-based processing technologies. However, it would be a mistake to dismiss batch processing as an antiquated approach.

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2. Diving Deeper into Psyberg: Stateless vs Stateful Data Processing

The Netflix TechBlog

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130
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Top Benefits of Automation Testing for a Successful Product Release

DZone

Businesses rely on automation testing to keep up with faster and higher-quality processes that agile development demands. Automation testing has numerous benefits in comparison to manual testing. Automating increases the effectiveness of processes, expedites execution, and maximizes test coverage. Introduction.

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The top four log analytics and log management best practices

Dynatrace

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Set up processing rules.

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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.

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Automate CI/CD pipelines with Dynatrace: Part 2, Deploy stage

Dynatrace

Whenever a change is detected, Dynatrace automatically generates a Deployment change event for the corresponding process and the host on which the process runs. Davis AI efficiently identified the deployment change as the potential root cause for the malfunctioning of nginx.

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