The Netflix TechBlog

APRIL 27, 2023

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. Engineers want their alerting system to be realtime, reliable, and actionable.

Storage 288

Storage Cache Metrics Database 288

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

NOVEMBER 1, 2023

Without going further into the reasons for such a need, I wanted to refresh this subject in terms of overhead related to running the command on production systems. A lot has changed since then, but many production systems alive today still run with affected versions. sbtest1 | analyze | status | OK | + -+ + -+ -+ 1 row in set (0.00

Servers 100

Servers Database Cache C++ 100

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. More in the following sub-section.)

Availability 112

Availability Database Open Source Hardware 112

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 125

Performance Cache Servers Social Media 125

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

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. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

MAY 1, 2023

It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. The performance of a PostgreSQL database has a significant impact on the overall effectiveness of an application.

Tuning 52

Tuning Efficiency Database Performance 52

Dynatrace

AUGUST 12, 2019

With OneAgent installed on an application server, Davis, the Dynatrace AI causation engine, continuously analyzes all database statements within the context of your applications. Now, with Oracle database insights, we’re going even deeper, giving you visibility into what’s going on in the database layer.

Database 128

Database Metrics Cache Servers 128

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. System Components.

Design 334

Design Media Storage Logistics 334

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 211

Cloud Energy Best Practices Cache 211

The Netflix TechBlog

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 192

Transportation Architecture Processing Storage 192

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. “Caching’s one of the key components of any commerce application,” as it has a major impact on performance, Bollampally said. Further, as Tractor Supply Co.

Cloud 173

Cloud Ecommerce Performance Retail 173

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., A typical backing store for a web application contains data for many users. The application makes queries on behalf of an authenticated user, but it is up to the application itself to make sure that the user only sees data they are entitled to see. HotOS’19.

Database 90

Database Cache Benchmarking Efficiency 90

Percona

APRIL 6, 2023

PostgreSQL is a popular open source relational database management system many organizations use to store and manage their data. However, as the size of your database grows, it can become challenging to manage and optimize its performance. Pgpool-II This is where the pgpool-II comes in.

Cache 118

Cache Open Source Benchmarking Database 118

Percona

MAY 2, 2023

In today’s data-driven world, losing critical data can be catastrophic for any organization. As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. Why are MongoDB database backups important? Why are MongoDB database backups important?

Best Practices 52

Best Practices Database Storage Servers 52

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. The Linux default is usually 60 , which is not ideal for database usage. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Percona

APRIL 7, 2023

I’ve used a fourth instance to host a PMM server to monitor servers A and B and used the data collected by the PMM agents installed on the database servers to compare performance. That’s a heritage of the LAMP model when the same server would host both the database and the web server.

Tuning 139

Tuning Cache Servers Benchmarking 139

Percona

AUGUST 8, 2023

As businesses grow and develop, the requirements that they have for their data platform grow along with it. As such, one of the more common questions I get from my clients is whether or not their system will be able to endure an anticipated load increase. Let’s take a look at each common resource.

Traffic 92

Traffic Cache Monitoring Database 92

Scalegrid

NOVEMBER 23, 2023

Imagine a world where your PostgreSQL® database connections are seamless and secure. Key Takeaways Understanding PostgreSQL hostname is essential for successful database connections. Understanding the PostgreSQL Hostname Hostname is a key factor for the effective management of PostgreSQL databases and providing secure access.

Database 130

Database Servers Storage Network 130

Dynatrace

AUGUST 1, 2022

Kubernetes was initially designed with a strong focus on stateless workloads, meaning these workloads do not need to store any persistent data. 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).

Storage 190

Storage Database Network Tuning 190

Dynatrace

AUGUST 30, 2019

She was speaking about how her team is providing Visibility as a Service (VaaS) in order to continuously monitor and optimize their systems running across private and public cloud environments. Infrastructure Optimization: 100% improvement in Database Connectivity. Digital Performance: 99% reduction in Response Time, from 18.2s

Cache 199

Cache Database Architecture Government 199

Scalegrid

JULY 8, 2020

In this post, we will explain the Redis transactional property of scripts, what this error is about, and why we must be extra careful about it on Sentinel-managed systems that can failover. Behavior on Sentinel-Monitored High Availability Systems. Sentinel -managed high availability systems add a new wrinkle to this. Expert Tip.

Servers 239

Servers Database Availability Monitoring 239

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

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Amazon EventBridge: EventBridge to bridges the data gap between your applications and other services, such as Lambda or specific SaaS apps. Data Store.

Serverless 283

Serverless AWS Lambda Storage 283

Dynatrace

NOVEMBER 3, 2021

Logging provides additional data but is typically viewed in isolation of a broader system context. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. This approach is sufficient when systems failure modes are well understood.

Monitoring 223

Monitoring Metrics DevOps Scalability 223

Percona

APRIL 24, 2023

The urge to create more and more indexes is found to be causing severe damage in many systems. Many times, removing indexes is what we should be doing first before considering any new indexes for the benefit of the entire system. This post is about PostgreSQL, but most of the problems also apply to other database systems.

Tuning 130

Tuning Cache Storage Database 130

Percona

OCTOBER 2, 2023

Percona Toolkit is a collection of advanced open source command-line tools, developed and used by the Percona technical staff, that are engineered to perform a variety of MySQL, MariaDB, MongoDB, and PostgreSQL server and system tasks that are too difficult or complex to perform manually. Caches | 12.4G Caches | 12.4G

Cache 103

Cache Database Virtualization Servers 103

Dynatrace

MARCH 22, 2023

As a result, web app attacks are the fastest-growing attack vector according to a recent data breach investigations report. Cryptographic failures Cryptographic failures are when data is transmitted in plain text, uses outdated or insecure cryptographic algorithms, or is protected by default or weak cryptographic keys.

Open Source 200

Open Source Artificial Intelligence Internet Internet 200

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.

Performance 108

Performance Monitoring Traffic Database 108

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. A Trigger in MySQL is a database object that plays a pivotal role in database management.

Cache 64

Cache Database Games Healthcare 64

Highly Scalable

SEPTEMBER 18, 2012

As such, it encompasses distributed system coordination, failover, resource management and many other capabilities. These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. Data Placement. System Coordination. Data Consistency.

Database 213

Database Latency C++ Scalability 213

Particular Software

MAY 8, 2023

However, in a message-based system, we no longer have a single call stack. The problem Because message-driven systems are asynchronous and run in multiple processes, debugging is naturally more complex than in a single-process application. Luckily, we can address these concerns with observability. ? Place order| B[Sales] B --> |2.

Systems 52

Systems C++ Azure Metrics 52

Percona

APRIL 3, 2023

Object identifiers (OIDs) are used internally by PostgreSQL as primary keys for various system tables. oid_test" SET WITHOUT OIDS; ALTER TABLE postgres=# c abs_test You are now connected to database "abs_test" as user "postgres". Type OID represents an object identifier. postgres=# ALTER TABLE "public"."oid_test"

C++ 106

C++ Database Cache Storage 106

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way.

Performance 130

Performance Hardware Tuning Storage 130

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. For as long as we’ve been talking about microservices, we’ve been talking about data. And data was at the heart of the problem. A well-defined interface should guide when and how that data is accessed and manipulated.

Database 72

Database Cache Architecture Latency 72

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 ibd > t1.sdi

Cache 89

Cache Benchmarking Servers Design 89