Scalegrid

MARCH 28, 2024

Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup. Redis can be configured to optimally utilize both RDB and AOF persistence methods optimally, achieving a balance between speed and data safety while minimizing the impact on response times due to its child process handling for disk writes.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 220

DevOps Traffic Efficiency Servers 220

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. The screenshot below displays such a configuration.

Best Practices 189

Best Practices Code Infrastructure Latency 189

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.

Serverless 207

Serverless Lambda Azure AWS 207

DZone

JULY 6, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. Ideally, a TiDB cluster should always be efficient and problem-free. For external reasons, application traffic may surge and increase the pressure on the cluster. However, reality is often unsatisfactory.

Open Source 130

Open Source Latency Traffic Analytics 130

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. We use metaflow.Table to resolve all input shards which are distributed to Metaflow tasks which are responsible for processing terabytes of data collectively.

Systems 226

Systems Media Cache Open Source 226

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience.

Traffic 279

Traffic Metrics Systems Strategy 279

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. What is cloud migration?

Cloud 165

Cloud Traffic Best Practices Strategy 165

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns.

Cloud 130

Cloud Virtualization Storage Efficiency 130

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. ‍ Think of a CDN Load Balancer (or LB, if you like to keep things short and sweet) as the internet’s traffic police. ‍But how does it decide where to send this traffic?

Traffic 52

Traffic Cache Servers Latency 52

The Netflix TechBlog

SEPTEMBER 8, 2020

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits. Replay Testing Enter replay testing.

Latency 233

Latency Cache Java Traffic 233

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. The process started with manual pull of member account information that was part of the session.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 105

Performance Monitoring Traffic Database 105

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution.

Cache 52

Cache Social Media Website Performance Website 52

IO River

NOVEMBER 2, 2023

With the ever-growing demands of the internet, websites and web applications face the challenge of delivering content swiftly and efficiently to users worldwide. Think of a CDN Load Balancer (or LB, if you like to keep things short and sweet) as the internet’s traffic police. But how does it decide where to send this traffic?

Traffic 40

Traffic Cache Network Servers 40

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. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache 251

Cache Latency Airlines Logistics 251

Percona

MARCH 29, 2023

As the amount of data grows, the need for efficient data compression becomes increasingly important to save storage space, reduce I/O overhead, and improve query performance. Snappy compression is designed to be fast and efficient regarding memory usage, making it a good fit for MongoDB workloads. provides higher compression rates.

Storage 110

Storage Network Open Source Latency 110

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). What DEM and business observability mean for the bottom line.

Monitoring 203

Monitoring Social Media IoT Metrics 203

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Fundamentally, internet traffic can be broadly categorized into static and dynamic content.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution.

Cache 52

Cache Social Media Website Performance Website 52

Smashing Magazine

AUGUST 3, 2023

It increases our visibility and enables us to draw a steady stream of organic (or “free”) traffic to our site. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. The higher our organic traffic, the more profitable we become as a company.

Performance 74

Performance Cache Traffic Metrics 74

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Fundamentally, internet traffic can be broadly categorized into static and dynamic content.Â

Architecture 52

Architecture Performance Internet Internet 52

Dynatrace

JULY 6, 2020

Azure Traffic Manager. Azure HDInsight is a fully-managed cloud service on Azure that makes it easy to process massive amounts of data in hyper-scale environments. With Azure Batch, you can run large-scale parallel and high-performance computing batch jobs efficiently in Azure. Azure Batch. Azure DB for MariaDB. Azure HDInsight.

Azure 147

Azure Cloud Big Data Virtualization 147

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). So before matching, the IDS/IPS has to reconstruct a TCP bytestream in the face of packet fragmentation, loss, and out-of-order delivery – a process known as reassembly.

Servers 128

Servers Hardware Latency Design 128

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 52

ScaleOut Software

JULY 19, 2021

As shown in the following diagram, a typical analytics system receives messages from a message hub, such as Kafka, which buffers incoming messages from the data sources until they can be processed. The complex web of communicating devices that surrounds us needs intelligent, real-time device tracking to extract its full benefits.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

MAY 15, 2023

In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write; as such, the number of writes is NOT distributed across multiple nodes but duplicated. It will also allow us to redirect read/write traffic to the primary and read-only traffic to all secondaries.

Traffic 123

Traffic Scalability Database Servers 123

Dotcom-Montior

NOVEMBER 24, 2021

Each process has its own independent memory that it works with. There are also several types of middleware, including database middleware, application server middleware, message-oriented middleware (MOM), web middleware, transaction processing (TP) middleware, and many more. No Shared Memory. State is distributed through the system.

Systems 74

Systems Monitoring Hardware Network 74

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Highly Scalable

MAY 1, 2012

Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Morning Paper

OCTOBER 10, 2019

By consolidating multiple single models into one multi-task model, previous works have seen both efficiency and performance improvements on each task due to the inherent complementary structure that exists in separate visual tasks. Binarization is the process of replacing e.g. a float-based value, with a binary value (i.e.,

Latency 58

Latency Storage Architecture Traffic 58

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. DSPs and SSPs need to filter out low-value data quickly and cost-efficiently to free up capacity. Another adtech infrastructure problem is capacity.

Performance 40

Performance Hardware Latency Infrastructure 40