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Architectural Insights: Designing Efficient Multi-Layered Caching With Instagram Example

DZone

This article will explore the concept of multi-layered caching from both architectural and development perspectives, focusing on real-world applications like Instagram, and provide insights into designing and implementing an efficient multi-layered cache system.

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Efficient SLO event integration powers successful AIOps

Dynatrace

Next, a pragmatic approach involves examining the backend, focusing on Service type entities prominently exposed to the frontend (for example, Apache Tomcat in a Linux environment). In today’s landscape, we lack a clear understanding of properly creating frontend SLOs (for example, RUM application type entities) based on key user actions.

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Install Prometheus on Kubernetes: Tutorial and Examples

DZone

It stores the metrics in a time-series database and provides the powerful PromQL query language for efficient analysis and data visualization. Despite its powerful capabilities, there are several key considerations that determine the observability efficiency of a Kubernetes cluster through Prometheus. These considerations include:

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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.

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Bloom Filters: Efficient Data Filtering With Practical Applications

DZone

Bloom filters are probabilistic data structures that allow for efficient testing of an element's membership in a set. In this article, we will delve into the concept of Bloom filters, their functioning, explore a contemporary real-world application, and illustrate their workings with a practical example.

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Bayesian Optimization and Hyperband (BOHB) Hyperparameter Tuning With an Example

DZone

Bayesian Optimization and Hyperband ( BOHB ) is a cutting-edge technique that leverages Bayesian optimization and the Hyperband algorithm to efficiently search for the best hyperparameters for machine learning models. What Is BOHB? BOHB stands for Bayesian Optimization and Hyperband.

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