Remove Monitoring Remove Processing Remove Tuning
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Fine-Tuning Performance, Resolving Common Issues in FinTech Application With MySQL

DZone

Relational Databases are the bedrock of any FinTech application, especially for OLTP (Online transaction Processing). So, it is imperative that all database activities are monitored closely in the production environment and issues like long-running queries are tracked and resolved.

FinTech 262
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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Avoid billing surprises with smart Dynatrace cost monitors

Dynatrace

Without adequate flexibility in the subscription model, your organization might fail to benefit from capabilities that could transform your observability and security processes. While if limits are set too high, you might pay for more monitoring than you need and exceed your budget. This allows you to plan and make changes accordingly.

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Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Data Mesh?—?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

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Telltale: Netflix Application Monitoring Simplified

The Netflix TechBlog

You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Over the years we’ve learned from on-call engineers about the pain points of application monitoring: too many alerts, too many dashboards to scroll through, and too much configuration and maintenance. By Andrei U.,

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Observability throughout the software development lifecycle increases delivery performance

Dynatrace

Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This process begins when the developer merges a code change and ends when it is running in a production environment.

Software 231