DZone

APRIL 14, 2023

Are you looking to get away from proprietary instrumentation? Are you interested in open-source observability, but lack the knowledge to just dive right in? This workshop is for you, designed to expand your knowledge and understanding of open-source observability tooling that is available to you today. Dive right into a free, online, self-paced, hands-on workshop introducing you to Prometheus.

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Open Source Metrics Monitoring Design 268

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. I talked about this in my last post, The Most Important MySQL Setting , and the reasoning behind it is very simple: accessing data from memory remains many times faster than retrieving data from disk.

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Cache Efficiency Database Monitoring 89

DZone

APRIL 14, 2023

The digital world has become the primary point of interaction for businesses worldwide in the last decade. With the shift in technology and human behavior, companies that could quickly adapt to digital-only operations were better prepared for the challenges of a global pandemic. Today, customers expect a seamless, fast, and accessible digital experience, and as their preferences change, so does how they interact with products and brands.

Testing 100

Testing Technology Technology 100

Percona

APRIL 14, 2023

Here we are, with an economic downturn looming globally and some countries facing a recession. For many execs and tech decision-makers in the financial services industry, it’s not the first go-round. During the recession of 2008, they experienced firsthand how fast money and assets can vanish. Fortunately, there now are trusted steps financial institutions can take to prepare for tough economic times and even to emerge stronger.

Database 80

Database Serverless Tuning Cloud 80

DZone

APRIL 14, 2023

One of Apache Kafka’s most known mantras is “it preserves the message ordering per topic-partition,” but is it always true? In this blog post, we’ll analyze a few real scenarios where accepting the dogma without questioning it could result in unexpected and erroneous sequences of messages. Basic Scenario: Single Producer We can start our journey with a basic scenario: a single producer sending messages to an Apache Kafka topic with a single partition, in sequence, one after the other.

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