Sat.Nov 09, 2024 - Fri.Nov 15, 2024

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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction. This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance.

Latency 224
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SLOs for Kubernetes clusters: Optimize resource utilization of Kubernetes clusters with service-level objectives

Dynatrace

Establishing SLOs for Kubernetes clusters can help organizations optimize resource utilization. A good Kubernetes SLO strategy helps teams manage and make containerized workloads more efficient. Kubernetes is a widely used open source system for container orchestration. It allows for seamless running of containerized workloads across different environments.

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AWS Lambda turns 10: A rare look at the doc that started it

All Things Distributed

On AWS Lambda's 10th anniversary, I'm publishing the internal PR/FAQ that helped launch this groundbreaking service. This document provides insight into the customer problems we observed in the early 2010s and our vision for serverless computing. Readers will find annotations throughout, offering a glimpse into how our long-term thinking has influenced Lambda's evolution over the past decade.

Lambda 208
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What’s New at ScaleGrid – November 2024

Scalegrid

At ScaleGrid, we’re focused on delivering powerful, reliable, and flexible database management solutions. Here’s a quick look at what’s new this month: MongoDB Now on AWS, Azure, and Google Cloud We’re excited to announce that you can now deploy and manage MongoDB clusters on AWS, Azure, and Google Cloud. This update gives you the flexibility to choose the cloud provider that best suits your needs while ensuring seamless performance and scalability.

Azure 130
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A new chapter, and thoughts on a pivotal year for C++

Sutter's Mill

Starting today I’m excited to be working on a new team, with my C++ standards and community roles unchanged. I also wanted to write a few words about why I’m excited about continuing to invest my time heavily in C++’s standardization and evolution especially now, because I think 2024 has been a pivotal year for C++ — and so this has turned into a bit of an early “year-end C++ retrospective” post too.

C++ 89
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Blown Away

O'Reilly

Between vacation, end-of-year projects, the coming holidays, and other hysteria, I haven’t come up with an article this month. So here’s a quick list of things that have amazed me recently. Are we virtual yet? I’m far from the first person to find NotebookLM amazing, and I certainly won’t be the last. I did a simple experiment: I pointed it at two of my recent posts, “ Think Better ” and “ Henry Ford Does AI.

Google 74
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Alternatives to Cloud DBaaS: What to Look For

Percona

Originally published on The New Stack. Building a flexible cloud strategy means making decisions that align with operational efficiency, cost management, and scalability. Public cloud platforms offer immense convenience but come with certain downsides. High long-term costs, vendor lock-in, and lack of flexibility are concerns for many organizations.

Cloud 83

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Presto® Express: Speeding up Query Processing with Minimal Resources

Uber Engineering

Slow Presto® queries can hinder data-driven operations. At Uber, we designed Presto express to achieve a 50% improvement in the end-to-end SLA for 70% of queries using query analysis, real-time insights, and resource isolation.

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Unified Checkout: Streamlining Uber’s Payment Ecosystem

Uber Engineering

From payment chaos to calm: Discover how Uber’s game-changing Unified Checkout System powers payment methods across every product line, worldwide.

Games 58
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Enabling Infinite Retention for Upsert Tables in Apache Pinot

Uber Engineering

With contributions from Uber and others, Apache Pinot™ now supports deletion with upsert tables! Learn how Uber drove these advancements and how you can benefit from cost-efficient infinite retention.

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Exploring Kubernetes CPU Resources in View of Percona XtraDB Cluster’s Flow Control

Percona

Even though I used a dedicated Kubernetes cluster to host my test database, I had this belief that by not explicitly allocating (or requesting, in Kubernetes vocabulary) CPU resources to my Percona XtraDB Cluster (PXC) pods or yet making just a small request, Kubernetes could be delaying access to the free CPU cycles available on […]