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

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 246

Analytics Innovation Metrics Database 246

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Adding application security to development and operations workflows increases efficiency. Reliability. This is the number of failures that affect users’ ability to use an application by the total time in service. Performance.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

JUNE 26, 2024

Automation Based on the sheer volume and variety of data available to observability tools, IT automation is critical to ensure efficient operations. While human oversight is required to ensure outputs meet expectations, relying on manual processes to collect and correlate data is no longer feasible. Exploratory analytics.

Analytics 246

Analytics Infrastructure Metrics Efficiency 246

Dynatrace

MARCH 14, 2022

The healthcare industry is embracing cloud technology to improve the efficiency, quality, and security of patient care, and this year’s HIMSS Conference in Orlando, Fla., AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively.

Healthcare 246

Healthcare Artificial Intelligence Innovation Strategy 246

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. IPS provides the incremental processing support with data accuracy, data freshness, and backfill for users and addresses many of the challenges in workflows. past 3 hours or 10 days).

Processing 219

Processing Big Data Efficiency Engineering 219

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 246

Artificial Intelligence DevOps Innovation Metrics 246

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., Microsoft’s big data clusters have 10s of thousands of machines, and are used by thousands of users to run some pretty complex queries. Individual samplers need to be built to be high throughput and memory efficient.

Big Data 57

Big Data Analytics Latency Azure 57

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 221

Metrics Architecture Infrastructure Innovation 221

Scalegrid

JUNE 28, 2024

Key features of RabbitMQ include message persistence to prevent data loss, flexible routing capabilities, and support for multiple messaging protocols such as AMQP, MQTT, and STOMP, enhancing its adaptability and reliability. Businesses can maintain a reliable and efficient communication system by utilizing message queues.

IoT 130

IoT Healthcare Programming Open Source 130

Scalegrid

FEBRUARY 11, 2025

DBMS provides a systematic way to store, retrieve, and manage data, ensuring it remains organized and controlled. These systems are crucial for handling large volumes of data efficiently, enabling businesses and applications to perform complex queries, maintain data integrity, and ensure security.

Scalability 147

Scalability Database Storage IoT 147

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? three plans and one offer homogeneously applied to all regions. What’s Next?

Mobile 218

Mobile Engineering Infrastructure Scalability 218

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. Learning more Interested in learning more about data roles at Netflix?

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

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.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

JANUARY 10, 2025

They keep the features that developers like but can handle much more data, similar to NoSQL systems. Notably, they simplify handling big data flows, offer consistent transactions, and sustain high performance even when they’re used for real-time data analysis and complex queries.

Database 130

Database Scalability Best Practices Blockchain 130

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 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 Big Data Analytics Architecture 78

All Things Distributed

DECEMBER 12, 2018

Winning in this race requires that we become much more customer oriented, much more efficient in all of our operations, and at the same time shift our culture towards more lean and experimental. The first platform is a real time, big data platform being used for analyzing traffic usage patterns to identify congestion and connectivity issues.

AWS 119

AWS Cloud Games Serverless 119

All Things Distributed

DECEMBER 20, 2017

For example, Kärcher, the maker of cleaning technologies, manages its entire fleet through the cloud solution "Kärcher Fleet" This transmits data from the company's cleaning devices e.g. about the status of maintenance and loading, when the machines are used, and where the machines are located. This pattern should be broken.

Artificial Intelligence 70

Artificial Intelligence Social Media Logistics AWS 70

Abhishek Tiwari

DECEMBER 27, 2017

A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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 Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? 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. for machine generated emails sent to humans). Do we want that?

Blockchain 46

Blockchain Hardware Google Speed 46

Testsigma

MAY 14, 2021

However, the primary goal of traditional testing and cloud-based testing remains the same i.e., to deliver high-quality and efficient software. Provides better testing speed, since it can run 24*7. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Cloud-based testing advantages.

Cloud 67

Cloud Testing Testing Tools Internet 67

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 99

Cache Mobile Google Network 99

Testsigma

JULY 14, 2020

The result will be a very few defects in the production environment because all the possible data is already tested and issues have been fixed accordingly. Time-efficient. The redundant work of manually entering the test data is monotonous and time-consuming. Faster decision making.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

ScaleOut Software

NOVEMBER 24, 2020

Rapid advances in the telematics industry have dramatically boosted the efficiency of vehicle fleets and have found wide ranging applications from long haul transport to usage-based insurance. They can track position, speed, and acceleration with knowledge of the route, schedule, and driver (allowed time left, driving record, etc.).

Analytics 52

Analytics Architecture Scalability Software Architecture 52

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 68

Artificial Intelligence Technology Technology IoT 68

Adrian Cockcroft

NOVEMBER 18, 2024

Paul Reed, Clean Energy & Sustainability, AWS Solutions, Amazon Web Services SUS101 | Advancing sustainable AWS infrastructure to power AI solutions In this session, learn how AWS is committed to innovating with data center efficiency and lowering its carbon footprint to build a more sustainable business.

AWS 98

AWS Energy Lambda Government 98