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Designing Instagram

High Scalability

We have chosen this NoSQL based solution over relational databases as it provides the scalability to have hierarchies which go beyond two levels and extensibility due to the schema-less behavior of NoSQL data storage. All the nodes are added to an index called nodeIndex for faster lookups. Sample Queries supported by Graph Database.

Design 334
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Unlock the Power of DevSecOps with Newly Released Kubernetes Experience for Platform Engineering

Dynatrace

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Automation, automation, automation.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. This includes topology and dependencies for instant cost-efficient, AI-powered analytics at scale.

Analytics 246
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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

This talk will delve into the creative solutions Netflix deploys to manage this high-volume, real-time data requirement while balancing scalability and cost. Clark Wright, Staff Analytics Engineer at Airbnb, talked about the concept of Data Quality Score at Airbnb.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

To gain insight into these problems, software engineers typically deploy application instrumentation frameworks that provide insight into applications and code. While this provides greater scalability than on-site instrumentation, it also introduces complexity. AWS monitoring best practices. Automate monitoring tasks.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

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Dynatrace extends distributed tracing for serverless on AWS Lambda (GA)?

Dynatrace

Actionable analytics across the?entire The new Dynatrace AWS Lambda extension further improves enterprise-grade scalability with low memory overhead, effortless manageability, continuous automation, and granular access-permission controls that support the structures of cloud-native applications teams within large organizations.

Lambda 264