Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy 130

Strategy Cloud Government Innovation 130

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Snappy is a compression library developed by Google. At the time of insert ops, no other queries or DML ops were running in the database. provides higher compression rates.

Storage 113

Storage Network Open Source Latency 113

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. For some background, Kubernetes was created by Google and is currently maintained by the Cloud Native Computing Foundation (CNCF). It has become the industry standard for cloud-native container orchestration.

Efficiency 106

Efficiency Cloud Healthcare Open Source 106

The Morning Paper

JUNE 23, 2019

Factor VI in the 12-factor app manifesto , “Execute the app as one or more stateless processes,” to be dropped and replaced with “Execute the app as one or more stateful processes.” session state that you want to survive an application process crash), and to keep the application server/services layer stateless.

Cache 79

Cache Latency Google Lambda 79

Speed Curve

FEBRUARY 5, 2024

Google recommends that TTFB be 800ms at the 75th percentile. desc="Time to process request at origin" NOTE: This is not a new API. Latency – How much time does it take to deliver a packet from A to B. processing = Duration from the time the request reaches the Storefront until processing of the request is complete.

Servers 57

Servers Cache Retail Benchmarking 57

Smashing Magazine

AUGUST 3, 2023

While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. It was only in 2020, though, that Google shared its concept of Core Web Vitals and how it impacts SEO efforts. SEO is key to our success. Bookaway site search.

Performance 74

Performance Cache Traffic Metrics 74

The Morning Paper

SEPTEMBER 10, 2019

Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? are divided.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

JUNE 25, 2021

Distributed tracing describes the act of following a transaction through all participating applications (tiers) and sub-systems, such as databases. In the mid 2000s, Google published their Dapper paper which describes techniques for distributed tracing at Google.

Open Source 201

Open Source Monitoring Google Systems 201

Dotcom-Montior

MAY 12, 2020

A request will be sent from the client-side and an HTTP check waits on the server port to get the message, process it, and then send back the response. Network latency. Database connectivity. Processing and generating the response. Network Latency. Network latency can be affected due to. Connection time.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Smashing Magazine

SEPTEMBER 28, 2022

There are millions of sites, and you are in close competition with every one of those Google search query results. Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. Event sourcing removes this problem by creating a separate database for retrieving data.

Performance 125

Performance Cache Servers Social Media 125

O'Reilly Software

APRIL 4, 2018

We live in the era of the connected experience, where our daily interactions with the world can be digitized, collected, processed, and analyzed to generate valuable insights. Google founders figured out smart ways to rank websites by analyzing their connection patterns and using that information to improve the relevance of search results.

Architecture 80

Architecture Scalability Google Operating System 80

The Morning Paper

FEBRUARY 23, 2020

Note that AnyLog also differs from projects such as DeepDive or Google’s Knowledge Graph. How’s that going to work given what we know about the throughput and latency of blockchains, and the associated mining costs?" Contractors that don’t want to pay publishers?

Blockchain 94

Blockchain Internet Internet IoT 94

Alex Russell

MARCH 6, 2021

Advances in browser content processing. If those specs sound eerily familiar, it's perhaps because they're identical to 2016's $200USD Moto G4 , all the way down to the 2011-vintage 28nm SoC process node used to fab the chip's anemic, 2012-vintage A53 cores. Modern network performance and availability.

Performance 124

Performance Network Cache Metrics 124

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. Data Delivery via Data Mesh What is Data Mesh?

Big Data 253

Big Data Government Analytics Processing 253

Enprowess

SEPTEMBER 7, 2021

with its low latency I/O operations, gives the benefit of ‘No buffering’ to developers. These frameworks are the fundamentals of the MERN stack, which comprises: MongoDB – document-based NoSQL database. You can translate JavaScript code into machine code with the help of the V8 JavaScript engine of Google. Network: Node.js

Open Source 52

Open Source Virtualization Programming Servers 52

Alex Russell

APRIL 29, 2021

It's possible that Amazon Luna , NVIDIA GeForce Go , Google Stadia , and Microsoft xCloud could have been built years earlier. A standard version of an approach demonstrated in Google's web applications to dramatically improve security. Helps media apps on the web save battery when doing video processing. Trusted Types.

Media 145

Media Games Education Engineering 145

Smashing Magazine

JANUARY 6, 2020

So, if we created an overview of all the things we have to keep in mind when improving performance — from the very start of the process until the final release of the website — what would that list look like? Also, as Patrick Meenan suggested, it’s worth to plan out a loading sequence and trade-offs during the design process.

Performance 145

Performance Cache Network Metrics 145

Dynatrace

AUGUST 5, 2019

In this role, I am leading a global team that works closely with our strategic partners such as AWS, Microsoft, Google, Pivotal, Red Hat and others. Database & functional migration. Before starting any migration project, you must have a good overview of all your hosts, processes, services and technologies.

Cloud 31

Cloud Traffic Database Network 31

The Netflix TechBlog

MAY 14, 2021

Once you finally find useful identifiers, you may begin writing SQL queries against your production database to find out what went wrong. We are expected to process 1,000 watermarks for a single distribution in a minute, with non-linear latency growth as the number of watermarks increases.

Traffic 160

Traffic Latency Java Google 160

Smashing Magazine

JANUARY 7, 2019

So, if we created an overview of all the things we have to keep in mind when improving performance — from the very start of the process until the final release of the website — what would that list look like? Also, as Patrick Meenan suggested, it’s worth to plan out a loading sequence and trade-offs during the design process.

Performance 103

Performance Cache Metrics Network 103

O'Reilly Software

MARCH 7, 2018

In addition to that, software is increasingly dependent on other software to provide its functionality, be it WebServices, HTTP APIs, databases, or even external devices such as sensors. Sadly, it is very common to write logic that deeply couples the notion of IO with the processing of that IO.

Transportation 72

Transportation Java Programming Architecture 72

The Netflix TechBlog

SEPTEMBER 3, 2021

When we process a request it is often beneficial to know which fields the caller is interested in and which ones they ignore. Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. link] GetProduction returns a Production message by its unique ID.

Design 245

Design Java Efficiency Code 245

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

Alex Russell

JUNE 20, 2020

is an open collaboration between Google, Microsoft , Intel , Samsung , and others to safely bring capabilities to the web which native developers have come to expect. After all, those are properties that browsers compete on, benefiting users in the process. built-in relational SQL database engines. Chromium's Project Fugu ??

Hardware 55

Hardware Games Java Media 55

Abhishek Tiwari

DECEMBER 27, 2017

ETL is a product of the relational database era and it has not evolved much in last decade. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Obviously, this has a clear impact on traditional ETL process which provides a fixed set of views.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49