Scalegrid

MARCH 28, 2024

However, its limited feature set compared to Redis might be a disadvantage for applications that require more advanced data structures and persistence. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Data transfer technology. 3d render.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. And without the encumbrances of traditional databases, Grail performs fast. “In

Analytics 186

Analytics Innovation Metrics Database 186

Dynatrace

AUGUST 10, 2021

Carrie called out how at Dynatrace we know it takes a village to achieve the extraordinary, from innovating reliable digital services at speed to learning how to adapt and thrive while managing our increasingly complex, dynamic technology environments. Investing in data is easy but using it is really hard”. She wasn’t wrong.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. AIOps (artificial intelligence for IT operations) combines big data, AI algorithms, and machine learning for actionable, real-time insights that help ITOps continuously improve operations. Reliability. Performance. ITOps vs. AIOps.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Dynatrace news.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. A huge advantage of this approach is speed. It works without having to identify training data, then training and honing.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

The Netflix TechBlog

JUNE 1, 2021

His favorite TV shows: Bojack Horseman , Marco Polo , and The Witcher His favorite movies: Scarface, I Am Legend and The Old Guard Sam, what drew you to data engineering? Early in my career, I was headed full speed towards life as a clinical researcher. Furthermore, engineering velocity was often sacrificed owing to rigid processes.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

APRIL 11, 2023

Shifting left and shifting right also enable DevSecOps teams to create closed-loop systems that are resilient, DevSecOps teams need to shift left to speed development cycles without compromising quality. Shift left vs. shift right: A DevOps mystery solved – blog Shift-left evaluation reduces defects and speeds delivery in development.

Cloud 186

Cloud DevOps Open Source Retail 186

Scalegrid

MARCH 14, 2024

It provides significant advantages that include: Offering scalability to support business expansion Speeding up the execution of business plans Stimulating innovation throughout the company Boosting organizational flexibility, enabling quick adaptation to changing market conditions and competitive pressures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MARCH 14, 2022

AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively. This has granted the speed and agility to accelerate innovation and bring new rewards to its members more frequently. Gartner introduced the concept of AIOps in 2016.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

Alex Podelko

DECEMBER 19, 2019

System Performance Estimation, Evaluation, and Decision (SPEED) by Kingsum Chow, Yingying Wen, Alibaba. Solving the “Need for Speed” in the World of Continuous Integration by Vivek Koul, Mcgraw Hill. How Website Speed affects your Bottom Line and what you can do about it by Alla Gringaus, Rigor. Something we all struggle with.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” A huge advantage of this approach is speed. It works without having to identify training data, then training and honing.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Site speed & SEO go hand in hand. Speed Up Your Site. Web Performance In Action. Designing for Performance.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

SEPTEMBER 29, 2016

To support our customers’ growth, their digital transformation, and to speed up their innovation and lower the cost of running their IT, we continue to build out additional European infrastructure. Since we opened the first AWS EU Region in Ireland in November 2007, we have seen an acceleration of companies adopting the AWS Cloud.

AWS 166

AWS IoT Internet Internet 166

O'Reilly

AUGUST 15, 2023

Few professional software developers will find it surprising that software development teams are respondents said that productivity is the biggest challenge their organization faced, and another 19% said that time to market and deployment speed are the biggest challenges.

Development 73

Development Programming Speed Open Source 73

The Morning Paper

SEPTEMBER 19, 2019

Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. Some cool algorithms: Pigeonring speeds up thresholded similarity searches. Do we want that? Yes please!

Blockchain 46

Blockchain Hardware Google Analytics 46

CSS - Tricks

OCTOBER 7, 2021

These components tackle the hardest interactivity problems in UI/UX, and do it with grace, speed, and accessibility in mind. Let’s take a look at their React Data Grid component. Filtering Data. And I’d say the looks aren’t even the important part.

Big Data 59

Big Data C++ Virtualization Design 59

Testsigma

MAY 14, 2021

Provides better testing speed, since it can run 24*7. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Let us explore the advantages and disadvantages of cloud-based and traditional testing. Cloud-based testing advantages. The environment is dynamic and scalable.

Cloud 67

Cloud Testing Testing Tools Internet 67

ScaleOut Software

NOVEMBER 24, 2020

Here’s a typical telematics architecture for processing telemetry from a fleet of trucks: Each truck today has a microprocessor-based sensor hub which collects key telemetry, such as vehicle speed and acceleration, engine parameters, trailer parameters, and more. Lastly, all telemetry is archived for future use (not shown here).

Analytics 52

Analytics Architecture Scalability Software Architecture 52

All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. Breuninger uses modern templates for software development, such as Self-Contained Systems (SCS), so that it can increase the speed of software development with agile and autonomous teams and quickly test new features.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

All Things Distributed

MARCH 2, 2011

Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. Driving down the cost of Big-Data analytics. Today Amazon Web Services is expanding its world-wide coverage with the launch of a new AWS Region located in Tokyo, Japan.

AWS 112

AWS Cloud Games Latency 112

Testsigma

JULY 14, 2020

The redundant work of manually entering the test data is monotonous and time-consuming. Human skills can be used for better purposes like exploratory testing when data-driven automation testing is in place. A proper understanding of the AUT and a very good domain knowledge prepares the background for a great test data set.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

All Things Distributed

JULY 7, 2011

AWS Import/Export transfers data off of storage devices using Amazons high-speed internal network and bypassing the Internet. With this new functionality AWS Import/Export now supports importing data directly into Amazon EBS snapshots. Driving down the cost of Big-Data analytics. Spot Instances - Increased Control.

AWS 96

AWS Cloud Storage Internet 96

Rigor

SEPTEMBER 11, 2019

list of those who are making a significant impact on speeding up the web today. Developers representing hundreds of companies work together at these meetups to become masters in performance metrics and the latest trends in measuring site speed.) Would you like to be a part of Big Data and this incredible project?

Performance 89

Performance Education Google Website 89

Smashing Magazine

JULY 29, 2019

The speed of mobile networks, too, varies considerably between countries. Perhaps surprisingly, users experience faster speeds over a mobile network than WiFi in at least 30 countries worldwide, including Australia and France. South Korea has the fastest mobile download speed , averaging 52.4 per GB respectively. Mbps upload.

Cache 96

Cache Google Mobile Network 96

All Things Distributed

JULY 13, 2010

During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region. No Server Required - Jekyll & Amazon S3.

Cloud 118

Cloud AWS Automotive Latency 118

The Netflix TechBlog

MAY 26, 2020

These characteristics allow for an on-call response time that is relaxed and more in line with traditional big data analytical pipelines. Spark could look up and retrieve the data in the s3 files that the Mouthful represented. And excellent logging is needed for debugging purposes and supportability.

Network 150

Network Tuning AWS Big Data 150

The Netflix TechBlog

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing. ETL pipelines keep all the benefits of batch workflows.

Processing 210

Processing Big Data Efficiency Engineering 210

All Things Distributed

OCTOBER 7, 2015

Today, I am excited to share with you a brand new service called Amazon QuickSight that aims to simplify the process of deriving insights from a wide variety of data sources in a fast and affordable manner. Big data challenges. We believe this is one of the critical parts of our big data offerings.

Cloud 137

Cloud Big Data AWS Analytics 137

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. ATC ’19 was refreshingly different.

Architecture 12

Architecture Hardware Cache Storage 12

The Netflix TechBlog

FEBRUARY 16, 2021

However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple?

Mobile 209

Mobile Engineering Infrastructure Scalability 209

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we will see new data integration patterns those rely either on a shared high-performance distributed storage interface ( Alluxio ) or a common data format ( Apache Arrow ) sitting between compute and storage. For instance, Alluxio, originally known as Tachyon, can potentially use Arrow as its in-memory data structure.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

DECEMBER 12, 2018

The first platform is a real time, big data platform being used for analyzing traffic usage patterns to identify congestion and connectivity issues. The second platform is a managed IoT cloud with customer-facing applications and data management, which went live in 2016. Telenor Connexion is all-in on AWS.

AWS 124

AWS Cloud Games Serverless 124

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. The workplace of the future.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

All Things Distributed

NOVEMBER 15, 2016

The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations. QuickSight is a cloud-powered BI service built from the ground up to address the big data challenges around speed, complexity, and cost. Enter Amazon QuickSight.

Analytics 152

Analytics Availability Media Social Media 152

The Netflix TechBlog

SEPTEMBER 10, 2019

This enables us to optimize their experience at speed. Instead of relying on engineers to productionize scientific contributions, we’ve made a strategic bet to build an architecture that enables data scientists to easily contribute. Sometimes statistical models are expensive to run even on compressed data.

Metrics 215

Metrics Architecture Infrastructure Innovation 215