Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Data loading patterns are an essential part of your application as they will determine which parts of your application are directly usable by visitors. But isn’t waiting for the data the point?

Performance 127

Performance Cache Servers Social Media 127

Percona

JUNE 7, 2024

Keeping Your Data Safe: An Introduction to Data-at-Rest Encryption in Percona XtraDB Cluster.Data breaches are a major concern today. Whether you’re a business owner or value your privacy, the thought of your sensitive information being exposed is unsettling.

Cache 86

Cache Software Software 86

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Open-source software drives a vibrant Kubernetes ecosystem. Java, Go, and Node.js

Open Source 333

Open Source Java Operating System Programming 333

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

DECEMBER 21, 2023

Growing awareness and increasing regulatory scrutiny have propelled carbon emissions data into the public consciousness. Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Level 1: Data centers This is the starting point for most organizations. A PUE of 1.0

Cloud 198

Cloud Energy Best Practices Cache 198

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

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. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

The Morning Paper

NOVEMBER 19, 2019

Local-first software: you own your data, in spite of the cloud Kleppmann et al., If you start reading this paper you could be lost for hours following all the interesting links and ideas, and end up even more dissatisfied than you already are with the state of software today. Local-first software ideals.

Cloud 83

Cloud Software Software Internet 83

ACM Sigarch

DECEMBER 19, 2022

If data movement were faster, more work could be done on the same processors. We assume a base multi-core processor four-way-issue load/store machine with 64-bit integer/address registers Rx, 128-bit (16-byte) data registers Vx, and an L1 D-cache that can do two operations per cycle, each reading or writing an aligned 16-byte memory word.

Design 145

Design Systems Cache Network 145

Testsigma

JUNE 3, 2021

The software will never be bug-free. Bugs could come up due to different reasons, in this article, we will discuss them from the perspective of software errors. We can divide the errors during software development into two sections for easy understanding: Software errors Testing errors. Software errors.

Software 82

Software Software Testing Hardware 82

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 Reliability space, our data teams focus on two main approaches. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. Data Models. Graph Data Models.

Design 334

Design Media Storage Logistics 334

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

MARCH 22, 2023

While these vulnerabilities aren’t anything new, the modular and distributed nature of modern software development introduces a new potential for application security risks. As a result, web app attacks are the fastest-growing attack vector according to a recent data breach investigations report.

Open Source 187

Open Source Artificial Intelligence Internet Internet 187

cdemi

MAY 8, 2016

Applications that rely heavily on a data-store usually can benefit greatly from using the Cache-Aside Pattern. If used correctly, this pattern can improve performance and help maintain consistency between the cache and the underlying data store. Reading Data. If the item exists in the cache, you can use that.

Cache 54

Cache Design C++ Processing 54

The Morning Paper

MAY 23, 2019

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Existing cache and main memory compression techniques compress data in small fixed-size blocks, typically cache lines. ” The big idea. Implications. This is where Hotpads comes in.

Cache 61

Cache Benchmarking Hardware Java 61

The Morning Paper

JUNE 25, 2019

Designing far memory data structures: think outside the box Aguilera et al., Last time out we looked at some of the trade-offs between RInKs and LInKs , and the advantages of local in-memory data structures. For many data center applications this looks to me like it could be a compelling future choice. HotOS’19.

Design 80

Design Cache Hardware Scalability 80

Dynatrace

MAY 17, 2023

Anyone who’s concerned with developing, delivering, and operating software knows the importance of making software and the systems it runs on observable. That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags.

Metrics 171

Metrics Open Source Traffic Cache 171

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. ” Three years ago, Tractor Supply Co.

Cloud 163

Cloud Ecommerce Performance Retail 163

Dynatrace

JANUARY 5, 2023

On Tuesday, January 3, 2023, at 15:26 UTC, we experienced an interruption of Dynatrace’s Single Sign On (SSO) service, preventing our customers from logging into their Dynatrace Software as a Service (SaaS) environments and other Dynatrace portals.

Cache 187

Cache Monitoring Strategy Speed 187

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. You can set this by adding the following lines to the /etc/sysctl.conf : vm.dirty_ratio = 15 vm.dirty_background_ratio = 5 Filesystems mount options MongoDB recommends the XFS filesystem for on-disk database data.

Best Practices 52

Best Practices Design Tuning Database 52

Brendan Gregg

MARCH 16, 2024

To explain this example in more detail: The profiler periodically interrupts software execution, and for those disconnected stacks it happens to be the execution of the kernel software ("vfs*", "ext*", etc.). What happens if the random data is a valid pointer by coincidence? These partial stacks get grouped together on the left.

Java 145

Java Cache Google Hardware 145

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. During load-balancing, the client gets the following exception when accessing the cache: ErrorCode<ERRCA0017>:SubStatus<ES0006>:There is a temporary failure.

Cache 40

Cache Servers Network Design 40

Dynatrace

SEPTEMBER 13, 2023

In this blog post, we’ll demonstrate how Dynatrace automation and the Dynatrace Site Reliability Guardian can help you implement your applications according to all six AWS Well-Architected pillars by integrating them into your software development lifecycle (SDLC).

AWS 236

AWS Efficiency Azure Cloud 236

Percona

AUGUST 8, 2023

As businesses grow and develop, the requirements that they have for their data platform grow along with it. Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Do these queries use more caches?

Traffic 88

Traffic Cache Monitoring Database 88

Percona

SEPTEMBER 1, 2023

MySQL triggers are a powerful tool for database administrators and developers, enabling them to automate tasks, enforce data consistency, and respond to events within the database seamlessly. The significance of triggers lies in their ability to enforce data integrity and automate various database-related tasks.

Cache 60

Cache Database Games Healthcare 60

Smashing Magazine

MAY 25, 2022

Memory and performance management are important aspects of software development and ones that every software developer should pay attention to. Properties of a data structure are considered reachable while the data structure is in memory, and they are usually kept in memory. Additional Data. Frank Joseph.

Cache 119

Cache Programming Storage Code 119

Percona

APRIL 6, 2023

PostgreSQL is a popular open source relational database management system many organizations use to store and manage their data. Query caching Pgpool-II can cache frequently used queries in memory, reducing the load on your PostgreSQL servers and improving response times. Pgpool-II This is where the pgpool-II comes in.

Cache 112

Cache Open Source Benchmarking Database 112

The Morning Paper

SEPTEMBER 24, 2020

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., All that framework and configuration code makes for very heavy use of generic, heterogeneous data structures! PLDI’20. Static analysis is a key component of many quality and security analysis tools.

Java 80

Java Cache Benchmarking Programming 80

Percona

JULY 25, 2023

When a new node joins the cluster, SST is performed to receive the data from DONOR to the JOINER. JOINER uses PXB to stream the data directory from DONOR. Percona XtraBackup copies the InnoDB data files. Percona XtraBackup copies the InnoDB data files. ibd2sdi data/test/t1.ibd ibd2sdi data/test/t1.ibd

Cache 85

Cache Benchmarking Servers Design 85

Dynatrace

OCTOBER 7, 2021

Amazon EventBridge: EventBridge to bridges the data gap between your applications and other services, such as Lambda or specific SaaS apps. Users control where their data goes in real-time, making it possible to create app architectures that respond to data sources on demand. Data Store. Improving data processing.

Serverless 269

Serverless AWS Lambda Storage 269

Percona

OCTOBER 2, 2023

Installation is easy with the software comes in popular package formats. Caches | 12.4G Percona Toolkit may already be in your distro by default in many Linux distros, such as Fedora, Homebrew, and Debian. And you can get it from us at Percona. Platform | Linux Release | Ubuntu 22.04.3 LTS (jammy) Kernel | 6.2.0-33-generic virtual = 2.2G

Cache 96

Cache Database Virtualization Servers 96

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Percona

MARCH 27, 2023

having to open each table.frm (and in which my test runs, I have purposely read a very high number of tables compared to “Table-open-cache” variable). When running only sysbench, there is a high number of cache hits (~99.98%) and a low number of “misses,” which means the table_cache is big enough for the workload.

Cache 98

Cache Hardware Servers Benchmarking 98

Dynatrace

DECEMBER 20, 2021

Replay tools log data from users’ interactions with your website or application, including the pages they looked at, how long they stayed, and what they clicked on while they were there. These tools pull this data to recreate anonymized versions of user sessions that your team can watch back on demand. Improved analytic context.

Mobile 237

Mobile Website Analytics Cache 237