Tue.Oct 08, 2024

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Cloud Cost Optimization: New Strategies for the AI Era

DZone

In today's volatile economic landscape, enterprises are scrutinizing their cloud bills more than ever. Platform teams are at the forefront of this challenge, tasked with finding innovative ways to optimize usage and drive down costs. To gain insights into this evolving field, we spoke with Kapil Thangavelu , co-founder and CTO of Stacklet and the creator and lead maintainer of Cloud Custodian.

Cloud 284
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Unlocking the Power of Cloud Snapshots: Backup and Restore Your MongoDB Clusters on Kubernetes

Percona

There are various ways to backup and restore Percona Server for MongoDB clusters when you run them on Kubernetes. Percona Operator for MongoDB utilizes Percona Backup for MongoDB (PBM) to take physical and logical backups, continuously upload oplogs to object storage, and maintain the backup lifecycle.

Cloud 95
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What Is a Performance Engineer and How to Become One: Part 1

DZone

Nowadays, many performance testers with many years of experience in IT have a lot of confusion and are still confused about the technologies they worked with and were used in their projects for years. A performance engineer is actually a professional performance testing and engineering expert with in-depth knowledge of many load-testing tools like LoadRunner, JMeter, Neoload, Gatling, K6, etc., and must have extensive experience in specialized skills.

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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital. In previous blog posts, we introduced the Key-Value Data Abstraction Layer and the Data Gateway Platform , both of which are integral to Netflix’s data architectu

Latency 240
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PostgreSQL Everywhere and for Everything

DZone

PostgreSQL is one of the most popular SQL databases. It’s a go-to database for many projects dealing with Online Transaction Processing systems. However, PostgreSQL is much more versatile and can successfully handle less popular SQL scenarios and workflows that don’t use SQL at all. In this blog post, we’ll see other scenarios where PostgreSQL shines and will explain how to use it in these cases.

Analytics 207
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Transform your operations with Davis AI root cause analysis

Dynatrace

Without AI-assisted observability tooling, the productivity of operations teams drops, leading to a dramatic increase in Mean Time to Repair (MTTR) and a significant rise in the personnel needed to manage critical incidents. In an era dominated by automated, code-driven software deployments through Kubernetes and cloud services, human operators simply can’t keep up without intelligent observability and root cause analysis tools.

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Enhancing Performance With Data Modeling: Techniques and Best Practices for Optimization in Snowflake

DZone

Snowflake is a powerful cloud-based data warehousing platform known for its scalability and flexibility. To fully leverage its capabilities and improve efficient data processing, it's crucial to optimize query performance. Understanding Snowflake Architecture Let’s briefly cover Snowflake architecture before we deal with data modeling and optimization techniques.