The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision.

Blockchain 94

Blockchain Internet Internet IoT 94

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 14, 2022

To illustrate how Akamas approach works for Kubernetes microservices applications the webinar, the example of Google Online Boutique is used during the webinar. The following figure shows the high-level architecture where any load testing solution (e.g. below 500ms) and error rates (e.g. lower than 2%.). Conclusions.

Latency 197

Latency Tuning Efficiency AWS 197

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud.

Serverless 241

Serverless Efficiency Lambda Azure 241

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

MAY 14, 2021

Managing and operating asynchronous workflows can be difficult without the proper tools and architecture that puts observability, debugging, and tracing at the forefront. Once you finally find useful identifiers, you may begin writing SQL queries against your production database to find out what went wrong.

Traffic 160

Traffic Latency Java Google 160

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

The Netflix TechBlog

OCTOBER 27, 2020

At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

SEPTEMBER 3, 2021

Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. If the service knows which fields are important for the caller, it can make an informed decision about making expensive calls, starting resource-heavy computations, and/or calling the database.

Design 245

Design Java Efficiency Code 245

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. The network latency of fetching data over the network, even considering fast data center networks. What is that something? Who knew! ;).

Cache 79

Cache Latency Google Lambda 79

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 196

Open Source Monitoring Google Systems 196

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. The reportWebVitals function.

Performance 75

Performance Cache Traffic Metrics 75

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 99

Efficiency Cloud Healthcare Open Source 99

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? Procella system overview.

Analytics 75

Analytics Latency Cache Google 75

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. 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. Back in the days of Web 1.0, Back in the days of Web 1.0, Determine requirements first.

Architecture 80

Architecture Scalability Google Operating System 80

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. Unified data management architecture. Event-driven data flow architecture.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Alex Russell

MARCH 6, 2021

Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. One subtle effect of browser attempts to avoid showing users blank white screens is that optimisations meant to hide latency from users may cause misattribution by users in cross-site flows.

Performance 124

Performance Network Cache Metrics 124

Enprowess

SEPTEMBER 7, 2021

The technology develops single-page applications , websites, and backend API services designed with real-time and push-based architectures. with its low latency I/O operations, gives the benefit of ‘No buffering’ to developers. You can translate JavaScript code into machine code with the help of the V8 JavaScript engine of Google.

Open Source 52

Open Source Virtualization Programming Servers 52

O'Reilly Software

MARCH 7, 2018

Build a more scalable, composable, and functional architecture for interconnecting systems and applications. 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. People forgot what SOA stands for.

Transportation 72

Transportation Java Programming Architecture 72

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Adjust the argument depending on the group of stakeholders you are speaking to.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet. Consider using PRPL pattern and app shell architecture. Use progressive enhancement as a default.

Performance 104

Performance Cache Metrics Network 104