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How AI and observability help to safeguard government networks from new threats

Dynatrace

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight.

Systems 183
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Trace, diagnose, resolve: Introducing the Infrastructure & Operations app for streamlined troubleshooting

Dynatrace

The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. Host technologies in use with status information and links to processes.

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SIEM Volume Spike Alerts Using ML

DZone

SIEM platforms streamline incident response processes, allowing security teams to respond quickly and effectively to security incidents. SIEM systems enable early detection of security threats and suspicious activities by analyzing vast amounts of log data in real time.

Storage 136
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Designing Instagram

High Scalability

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. There are two major processes which gets executed when a user posts a photo on Instagram. Streaming Data Model. Optimization.

Design 334
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 243
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1. Streamlining Membership Data Engineering at Netflix with Psyberg

The Netflix TechBlog

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?