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Storage Autoscaling With Percona Operator for MongoDB

Percona

Today along with their team, we will see how pvc-autoresizer can automate storage scaling for MongoDB clusters on Kubernetes. Our goal is to automate storage scaling when our disk reaches a certain threshold of use and simultaneously reduce the amount of alert noise related to that. kubectl annotate pvc --all resize.topolvm.io/storage_limit="100Gi"

Storage 114
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Spring Boot and Time Series Data in ScyllaDB

DZone

By the end of the tutorial, you’ll have a running Spring Boot app that serves as an HTTP API server with ScyllaDB as the underlying data storage. For example: You’ll be able to create stocks with prices and dates and get a list of stock items. And you’ll learn how ScyllaDB can be used to store time series data.

Storage 273
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Bring syslog into Dynatrace using OpenTelemetry to get open source value with enterprise support

Dynatrace

Syslog is a protocol with clear specifications that require a dedicated syslog server. For example, a supported syslog component must support the masking of sensitive data at capture to avoid transmitting personally identifiable information or other confidential data over the network. Take a look at this example for configuration.

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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. ActiveGate acts as a secure proxy and compresses and routes observability signals in an optimized manner to Dynatrace servers.

Retail 258
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Designing Instagram

High Scalability

When the server receives a request for an action (post, like etc.) Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334
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SIEM Volume Spike Alerts Using ML

DZone

Key Components in SIEM Log Collection: SEIM systems collect and aggregate log data from Various sources across an organization’s network, including servers, endpoints, firewalls, applications, and other devices. For example, in big organizations, the Linux logs may be around 10 billion, and firewall logs may be around five billion per day.

Storage 136
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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130