May, 2024

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How Red Hat and Dynatrace intelligently automate your production environment

Dynatrace

Red Hat and Dynatrace are joining forces to revolutionize day One and day Two operations. A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. Managing incidents in corresponding tools.

DevOps 266
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MySQL 8.4 First Peek

Percona

MySQL 8.4 has now been officially released, and this is a quick review of what is in the release notes. This is momentous as it is designated a Long-Term Support (LTS) release. Various 8.0 releases introduced material changes that impacted speed and stability, causing hair-pulling and swearing among those affected.

Speed 97
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Trending Sources

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DragonCrawl: Generative AI for High-Quality Mobile Testing

Uber Engineering

Learn how Uber improved mobile testing reliability, and increased productivity for thousands of engineers, using machine learning to create DragonCrawl, a highly stable and low-maintenance testing system.

Mobile 76
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How to Provision a MongoDB Cluster in Kubernetes with Percona Everest Summary

Percona Community

Kubernetes continues evolving, and the complexity of deploying and managing databases within the ecosystem is a topic of considerable discussion and importance these days. This article summarizes a detailed discussion between Piotr Szczepaniak and Diogo Recharte, who offer insights and live demonstrations to simplify database operations on Kubernetes with a new technology for cloud-native applications: Percona Everest.

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Quality Assurance in the Digital Age: New Approach to QA and Testing

Kovair

Get information on - Quality Assurance in the Digital Age: New Approach to QA and Testing, follow Kovair Blog for the latest information and updates on software development and information technology.

Testing 52
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A simple bash script to scrape a Nutanix cluster and present the results like a prometheus exporter

n0derunner

About prometheus format A Prometheus exporter simply has to return a page with metric names and metric values in a particular format like below. When you configure prometheus via prometheus.yml you’re telling prometheus to visit a particular IP:Port over HTTP and ask for a page called metrics – so if the “page” called metrics is … The post A simple bash script to scrape a Nutanix cluster and present the results like a prometheus exporter appeared first on n0derunner

Metrics 52
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Privacy Spotlight: Easily comply with data subject rights in Dynatrace

Dynatrace

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. Rising consumer expectations for transparency and control over their data, combined with increasing data volumes, contribute to the importance of swift and efficient management of privacy rights requests. “By 2026, fines due to mismanagement of subject rights will have increased tenfold from 2022 to total over $1 billion.” [1] –Gartner

Tuning 225

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How Uber Serves Over 40 Million Reads Per Second from Online Storage Using an Integrated Cache

Uber Engineering

Learn how Uber serves over 40 million reads per second from its in-house, distributed database built on top of MySQL using an integrated caching solution: CacheFront.

Cache 75
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

AI is top of mind for security teams across every industry. As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. According to McKinsey’s State of AI in 2023 report, 40% of respondents said their organizations plan to increase their overall AI investment because of advancements in generative AI.

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Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data.

Cloud 203
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Best practices for Fluent Bit 3.0

Dynatrace

What is Fluent Bit? Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit can serve as a proxy before you send data to Dynatrace or similar. However, you can also use Fluent Bit as a processor because you can perform various actions on the data. Fluent Bit was designed to help you adjust your data and add the proper context, which can be helpful in the observability backend.

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Valkey/Redis Configurations and Persistent Setting of the Key Parameters

Percona

Since Valkey (a fork of Redis) is around the corner, I thought to write a short blog post about some of the configuration parts, mainly discussing how to dynamically change certain settings and persist those inside the configuration file.

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Hello World… Hello Valkey! Let’s Get Started!

Percona

Welcome Valkey to the Percona family! We are excited to have you join our team of MySQL, PostgreSQL, and MongoDB database experts.Hang on. What is Valkey? In short, Valkey is a fork of Redis which maintains the original open source BSD license[1].

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Building Scalable, Real-Time Chat to Improve Customer Experience

Uber Engineering

Innovatively scaling its chat channel, Uber’s Customer Obsession Team enhanced global support by transitioning 36% of contact volume to chat, leveraging a new architecture that slashed error rates from 46% to 0.45%, showcasing a significant leap in efficiency and customer satisfaction.

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Speed Up Repetitive PostgreSQL Statements With gexec

Percona

Last week, we were assisting a client who needed to resolve an issue related to partitioned tables.Often, a table can include dozens or even hundreds of partitions. Unfortunately, some object-level parameters for tuning (like storage_parameter) cannot be modified from the parent table and must be manipulated directly through the child table.

Speed 55
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Migrating a Trillion Entries of Uber’s Ledger Data from DynamoDB to LedgerStore

Uber Engineering

Migrating money data with peace of mind. Learn how Uber moved its Money related data spanning trillion of rows & petabytes in size flawlessly.

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Uber: GC Tuning for Improved Presto Reliability

Uber Engineering

Want to improve the reliability of your Presto cluster with just a few lines of code? Come read how we reduced errors by 90% through improving garbage collection.

Tuning 60
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Model Excellence Scores: A Framework for Enhancing the Quality of Machine Learning Systems at Scale

Uber Engineering

With the introduction of Model Excellence Scores at Uber, we’re setting a new standard for measuring, monitoring, and maintaining ML model quality–read how this innovative approach aims to enhance ML governance and provide clearer insights.

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Scaling AI/ML Infrastructure at Uber

Uber Engineering

Accelerating Tomorrow: How Uber Turbocharges AI/ML Frontiers.

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uVitals – An Anomaly Detection & Alerting System

Uber Engineering

In today’s fast-paced digital world, preventing downtime and disruptions is crucial. Learn how uVitals is helping to reduce the time to detect anomalies from days to hours, improving the signal-to-noise ratio by up to 95% at Uber scale.

Systems 40
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Stopping Uber Fraudsters Through Risk Challenges

Uber Engineering

Want to effectively mitigate fraud without compromising your user experience? Learn how we secured the Uber app with risk challenges, like penny drop verification—just one of many employed to verify Uber users making credit or debit card payments.

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Network IDS Ruleset Management with Aristotle v2

Uber Engineering

Overwhelmed with network security events? Learn how Uber’s Cyber Defense team programmatically manages network IDS rulesets, augments alerts for correlation, and open-sourced the code they use to do it.

Network 40
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How LedgerStore Supports Trillions of Indexes at Uber

Uber Engineering

Learn about how Uber presents a consistent view of distributed financial data across earners, spenders, and merchants powered by indexes in Uber’s homegrown ledger-style database, LedgerStore.

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Jupiter: Config Driven Adtech Batch Ingestion Platform

Uber Engineering

Learn how Uber unifies its marketplace and brand, and reliably optimizes marketing strategy expenditures with Jupiter: Uber’s Performance Marketing Ingestion Platform.

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Ensuring Precision and Integrity: A Deep Dive into Uber’s Accounting Data Testing Strategies

Uber Engineering

Get behind-the-scenes access to Uber’s financial finesse. Explore Uber’s commitment to flawless financials with data-driven excellence.

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Load Balancing: Handling Heterogeneous Hardware

Uber Engineering

Learn about how Uber changed it’s RPC load balancing within Service Mesh to mitigate hardware heterogeneity.