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. How do you know if your MySQL database caching is operating efficiently?

Cache 107

Cache Efficiency Database Monitoring 107

The Netflix TechBlog

MARCH 28, 2025

These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system. At inference time, when multi-step decoding is needed, we can deploy KV caching to efficiently reuse past computations and maintain lowlatency.

Tuning 179

Tuning Efficiency Latency Strategy 179

DZone

OCTOBER 9, 2023

Bloom filters are probabilistic data structures that allow for efficient testing of an element's membership in a set. Bloom, these data structures have found applications in various fields such as databases, caching, networking, and more. Since their invention in 1970 by Burton H.

Efficiency 162

Efficiency Cache Network Database 162

DZone

FEBRUARY 15, 2022

To manage the server state in the frontend and sync with the backend, we need to update, cache, or re-fetch the data efficiently. Sometimes we call the backend more than necessary, and this could cause performance problems in our applications.

Cache 130

Cache Servers Efficiency Performance 130

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Developers just provide their data problem rather than a database solution!

Latency 260

Latency Storage Cache Servers 260

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

JULY 16, 2020

To do that, we need an easy and efficient API access to all of our Dynatrace Environments, without having to create and maintain API access tokens of individual tenants. TenantCache: a cache to store tenant information and API token information and semi-permanent data to avoid unnecessary roundtrips. ? Consolidating the APIs.

Cache 289

Cache Serverless Efficiency Tuning 289

DZone

FEBRUARY 22, 2023

One of the key features of React is its ability to manage state and re-render components efficiently. Memoization is the process of caching the results of a function call based on its input parameters. React is a popular JavaScript library used for building user interfaces. This is where the useMemo() hook comes in handy.

Cache 240

Cache Efficiency Processing Performance 240

Dynatrace

DECEMBER 21, 2023

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. This computational efficiency also reduces energy consumption, which in turn reduces carbon emissions. A PUE of 1.0

Cloud 264

Cloud Energy Best Practices Cache 264

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 258

Cache Latency Airlines Logistics 258

DZone

AUGUST 16, 2019

Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM). In this article, we explain why you should pay attention to when building a scalable application. What Is Application Scalability?

Scalability 145

Scalability Efficiency Hardware Software 145

DZone

SEPTEMBER 11, 2024

Efficient data synchronization is crucial in high-performance computing and multi-threaded applications. Traditional Approaches and Their Limitations Imagine a scenario where we have a cache of user transactions:

Cache 200

Cache Efficiency Performance 200

The Netflix TechBlog

SEPTEMBER 24, 2021

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 305

AWS Efficiency Azure Cloud 305

The Netflix TechBlog

MAY 19, 2023

Netflix is always looking for security, ergonomic, or efficiency improvements, and this extends to authorization tools. Over time, each node caches a subset of subproblems to support a distributed cache, reduce the datastore load, and achieve SpiceDB’s horizontal scalability.

Cache 255

Cache Google Open Source Systems 255

The Netflix TechBlog

JULY 12, 2019

The Tech Hollow , an OSS technology we released a few years ago, has been best described as a total high-density near cache : Total : The entire dataset is cached on each node?—?there there is no eviction policy, and there are no cache misses. Near : the cache exists in RAM on any instance which requires access to the dataset.

Cache 184

Cache Architecture Latency Engineering 184

KeyCDN

JUNE 6, 2019

We’re happy to announce that WebP Caching has landed! How Does WebP Caching Work? Optimus offers an efficient way to generate WebP images. Enable the Feature for your Zones Cache Key WebP can be enabled for all Pull Zones. Once enabled, a Zone will cache each image separately as WebP and the other image format (e.g.

Cache 81

Cache Servers Website Traffic 81

The Netflix TechBlog

MARCH 6, 2019

This is just one of many use cases that MezzFS supports, but all the use cases share a similar theme: stream the right bits of a remote object efficiently and expose those bits as a file on the filesystem. Disk Caching? — ? MezzFS can be configured to cache objects on the local disk. Regional caching? —?Netflix

Media 218

Media Storage Processing Cache 218

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). Dynatrace’s PVCs extension enables you to make efficient use of your resources. Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. Coming Soon.

Storage 246

Storage Database Network Metrics 246

The Netflix TechBlog

AUGUST 10, 2020

and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. In addition, footprint savings will allow more content to be stored in edge caches, thus contributing to an improved experience for our members.

Innovation 242

Innovation Traffic Network Mobile 242

The Netflix TechBlog

SEPTEMBER 10, 2024

With these clear benefits, we continued to build out this functionality for more devices, enabling the same efficiency wins. It was very efficient, but it had a set job size, requiring manual intervention if we wanted to horizontally scale it, and it required manual intervention when rolling out a new version.

Latency 234

Latency Cache Tuning Efficiency 234

The Netflix TechBlog

MARCH 8, 2021

Instead, we created a service to take the most popular configurations and cache them. Where we can gather and analyze the usage data to create efficiencies and automation. Most artists were requesting a handful of standard configurations and did not need maximum flexibility. Now, artists can get a new workstation in seconds.

Entertainment 307

Entertainment Storage Open Source Hardware 307

The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

Latency 239

Latency Storage Traffic Tuning 239

Dynatrace

AUGUST 30, 2019

Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Missing caching layers, e.g. provide a read-only cache for static data. A reduced resource footprint also makes migrating to a public cloud more cost-efficient.

Cache 214

Cache Database Architecture Government 214

The Netflix TechBlog

MARCH 10, 2023

To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache. We refresh this cache whenever a new index is created for the next time bucket, so that new assets will be indexed appropriately.

Strategy 264

Strategy Cache Storage Analytics 264

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. A data lakehouse, therefore, enables organizations to get the best of both worlds.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

Dynatrace

OCTOBER 7, 2021

Using a FaaS model makes it possible to scale up individual application functions as needed rather than increase total resource allocation for your entire application, which helps reduce total resource costs and improve overall app efficiency. AWS serverless offerings. Data Store. AWS offers four serverless offerings for storage.

Serverless 325

Serverless AWS Lambda Storage 325

The Netflix TechBlog

MARCH 7, 2024

Under the hood, Titus is powered by Kubernetes , but it provides a thick layer of enhancements over off-the-shelf Kubernetes, to make it more observable , secure , scalable , and cost-efficient. Deployment: Cache To produce business value, all our Metaflow projects are deployed to work with other production systems.

Systems 235

Systems Media Cache Open Source 235

All Things Distributed

SEPTEMBER 3, 2013

Amazon ElastiCache is a fully managed, in-memory caching service for customers to optimize the latency, performance and cost of their read workloads. It provides customers with familiar MySQL, Microsoft SQL Server or Oracle database engines while simplifying the monitoring and management of complex RDBMSs.

Cache 99

Cache Cloud Performance Retail 99

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

The Netflix TechBlog

SEPTEMBER 8, 2020

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. Latencies The old api service was running on the same “machine” that also cached a lot of video metadata (by design). This meant that data that was static (e.g.

Latency 241

Latency Cache Java Traffic 241

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

DZone

FEBRUARY 5, 2024

It stores the solutions to these subproblems in a table or cache, avoiding redundant computations and significantly improving the efficiency of algorithms. Dynamic Programming ( DP ) is a technique used in computer science and mathematics to solve problems by breaking them down into smaller overlapping subproblems.

Programming 147

Programming Cache Efficiency 147

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). In the Efficiency space, our data teams focus on transparency and optimization.

Infrastructure 185

Infrastructure Cloud Scalability AWS 185

Percona

APRIL 30, 2024

We needed to scale fast but also very efficiently, and caching became one of the core technologies to achieve […] Back in the early 2000s, “Web 2.0” ” was being built following the aftermath of the dot-com crash. The open source LAMP (Linux-Apache-MySQL-PHP/Perl/Python) stack was all the rage.

Open Source 124

Open Source Cache Efficiency Technology 124

SQL Performance

OCTOBER 13, 2021

I also compare them with stored procedures, mainly focusing on differences in terms of default optimization strategy, and plan caching and reuse behavior. The main plus is it enables query simplifications that can sometimes result in more efficient plans. In my examples I’ll use a sample database called TSQLV5. plan_handle , Q.

Cache 144

Cache Strategy C++ Code 144