Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens.

Government 200

Government Infrastructure Programming Cloud 200

Dynatrace

NOVEMBER 4, 2022

A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. Distributed architectures create another challenge for governments and public-sector organizations. A lack of visibility into cloud environments .

Government 147

Government Analytics Cloud Storage 147

Dynatrace

JULY 18, 2022

OpenTelemetry provides a set of vendor-agnostic application program interfaces (APIs) to create a common way to instrument applications and collect data from logs and traces across a wide variety of frameworks and languages. It uses standardized application program interfaces that a wide variety of vendors and user organizations can support.

Artificial Intelligence 189

Artificial Intelligence Open Source Analytics Monitoring 189

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. This compelling success story underscores how the Dynatrace customer-centric pricing approach can drive efficiency, cost savings, and performance improvements for businesses in any sector. What is the ingest, retain, and query pricing model?

Retail 233

Retail Storage Best Practices Architecture 233

Dynatrace

FEBRUARY 15, 2023

Additionally, its modern architecture delivers cost-effective storage and compute. Dynatrace tames the underlying complexity of managing data in a cost-efficient, performant way, ensuring the integrations with an organization’s ecosystem solutions are inherently secure and everything runs and scales in an automated way.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. IT automation tools can achieve enterprise-wide efficiency. Monitoring automation is ongoing.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Dynatrace

DECEMBER 15, 2022

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure.

Strategy 177

Strategy AWS Open Source Transportation 177

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. This automation of processes allows more time dedicated to fulfilling core tasks efficiently without any extra effort required on your part.

Database 130

Database Cloud Hardware Storage 130

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

APRIL 5, 2021

While AWS and Azure promote the same capabilities — and perhaps a similar ultimate vision — their architectures are not equivalent. Media streaming giant Netflix, for example, estimates that it uses as many as 700 individual APIs in its microservices architecture. How Azure Functions works.

Azure 136

Azure Serverless IoT Lambda 136

Tasktop

OCTOBER 20, 2020

federal government, IT and program leaders must find a better way to manage their software delivery organizations to improve decision-making where it matters. From AI to the cloud, to predictive analytics and innovative systems, there are few places that software isn’t impacting the government. Think Big, Start Small. Agile = Flow.

Government 105

Government Programming Metrics Software 105

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. However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Adrian Cockcroft

FEBRUARY 13, 2023

Margaret leads the worldwide solution architect program for sustainability, and gives an excellent talk on how customers should think about optimizing their workloads. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA. SUS209 — there was no talk with this code.

AWS 64

AWS Energy Architecture Programming 64

ScaleOut Software

JANUARY 28, 2021

Conventional, enterprise data architectures take months to develop and are complex to change. It shows some of the state information that the twin maintains and the code which analyzes incoming messages as they arrive: Aggregate Analytics Boost Situational Awareness. In-Memory Computing with Real Time Digital Twins: Fast and Agile.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., Today, there are a variety of architectures and systems in use. Over time, that has evolved into something different. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. Utilizing the automatic dependency mapping functionality of the Dynatrace OneAgent, DevSecOps and SecOps teams gain real-time visibility into application and infrastructure architectures.

Government 222

Government DevOps Infrastructure Network 222

Percona

MARCH 30, 2023

This comprehensive overview examines open source database architecture, types, pros and cons, uses by industry, and how open source databases compare with proprietary databases. For example, an analytics application would work best with unstructured image files stored in a non-relational graph database.

Open Source 77

Open Source Database Storage Scalability 77

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. Experiment with different neural network architectures. Detect a regression in a test case.

Testing 163

Testing AWS Lambda Network 163

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

Alex Russell

JANUARY 30, 2024

Put another way, the performance gap between what devices the wealthy carry and what budget shoppers carry grew more this year (252 points) than the year-over-year gains from process and architecture at the volume price point (174 points). Front-end developers are cursed to program the Devil's computer. That's where the good news ends.

Performance 90

Performance Network Mobile Speed 90

The Morning Paper

SEPTEMBER 12, 2019

SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., VLDB’19.

Network 44

Network Database Programming Hardware 44

Alex Russell

JULY 14, 2021

Standard tools, analytics packages, and feature availability dashboards do not make mention of IABs, and the largest WebView IAB promulgators (Facebook, Pinterest, Snap, etc.) Without the ability to catch all navigations sent to the OS, users who downloaded these programs suffered frequent computing amnesia. How can that be?

Google 121

Google Mobile Engineering Internet 121

Highly Scalable

MARCH 10, 2015

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Propensity to category expansion.

Retail 152

Retail C++ Analytics Metrics 152

ScaleOut Software

MAY 4, 2014

Moreover, in our experience, many analytics applications host data sets much larger than the 100 GB size Microsoft cites as a typical upper bound, and new applications drive this trend by taking advantage of newly available memory. (We We often host data sets in the terabytes in our in-memory data grid.)

Network 40

Network Servers Analytics Storage 40

The Netflix TechBlog

MARCH 10, 2023

And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. These applications are built on a microservices architecture, and the Asset Management Platform provides asset management to those dozens of services for various asset types.

Strategy 258

Strategy Cache Analytics Storage 258

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

Smashing Magazine

JULY 12, 2021

. “(…) what started with organized PostCSS gradually grew to become a complex and entangled global CSS architecture with a lot of specificities and overrides. Besides, as the number of frontend developers contributing to the codebase also grows, this kind of CSS architecture becomes even more difficult to work with.”. Large preview ).

Best Practices 145

Best Practices Website Architecture Media 145

All Things Distributed

NOVEMBER 15, 2010

We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. General Purpose GPU programming.

AWS 136

AWS Latency Programming Architecture 136

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

The Netflix TechBlog

JANUARY 11, 2022

To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn more about other Data Science and Engineering functions at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243