Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

DZone

DECEMBER 21, 2020

Applications used in the field of Big Data process huge amounts of information, and this often happens in real time. Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. The PVS-Studio static analyzer is one of the solutions to this problem.

Code 150

Code Java Big Data Open Source 150

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Scalegrid

MARCH 28, 2024

Redis can be configured to optimally utilize both RDB and AOF persistence methods optimally, achieving a balance between speed and data safety while minimizing the impact on response times due to its child process handling for disk writes. Data transfer technology. Cube or box Block chain of abstract financial data.

Cache 130

Cache Storage Scalability Architecture 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. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

APRIL 11, 2023

The CVE Program, which publishes vulnerabilities as they become known, reported a 25% increase in vulnerabilities between 2021 and 2022. Shifting left is the practice of moving testing, quality, and performance evaluation early in the development process, often before code is written.

Cloud 192

Cloud DevOps Open Source Retail 192

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202

Java Scalability Traffic Architecture 202

O'Reilly

AUGUST 15, 2023

But the big issue, the issue we wanted to explore, isn’t the challenges themselves; it’s what organizations are doing to meet them. But 20% are changing their onboarding and upskilling processes, 15% are hiring new developers, and 13% are using self-service engineering platforms.

Development 71

Development Programming Speed Open Source 71

The Netflix TechBlog

MARCH 2, 2021

While working on my PhD in political science, I realized my curiosity was always more piqued by methodological coursework, which led me to take as many stats/data science courses as I could. Later I enrolled in a data science program focused on helping academics transition to industry roles.

Analytics 207

Analytics C++ Innovation Engineering 207

All Things Distributed

AUGUST 16, 2011

The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud There were however a number of programs that really could benefit from the Cloud but which had unique regulatory requirements, such as ITAR, that blocked migration to AWS. Government and Big Data. Cloud Readyâ??;

AWS 111

AWS Government Big Data Cloud 111

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). Not all computer science degree programs offer computer architecture classes to undergrads, and ones that do, may offer it as one of many electives. For those of us who pursued computer architecture as a career, this is well understood.

Architecture 74

Architecture Open Source Hardware Software Engineering 74

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded. Enhanced clarity.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

All Things Distributed

NOVEMBER 15, 2010

From financial processing and traditional oil & gas exploration HPC applications to integrating complex 3D graphics into online and mobile applications, the applications of GPU processing appear to be limitless. Because of its focus on latency, the generic CPU yielded rather inefficient system for graphics processing.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 129

Cloud Energy AWS Healthcare 129

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

ScaleOut Software

NOVEMBER 24, 2020

The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. At the same time, telemetry snapshots are stored in a data lake, such as HDFS , for offline batch analysis and visualization using big data tools like Spark.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. Summing Up: Do More in Real Time.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. Summing Up: Do More in Real Time.

Analytics 52

Analytics IoT Lambda Big Data 52

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. The test data management for the company had become a big problem and had to be solved.

Testing 60

Testing Storage Database Processing 60

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. Only parts of the processes are being performed by machines, or at least supported by them.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

Percona

JANUARY 14, 2019

Processed 4.15 The data is partitioned and sorted by created_utc so queries which include created_utc will be able to using partition pruning: therefore skip the not-needed partitions. Processed 4.15 Processed 8.19 Processed 8.19 Processed 4.15 Processed 3.05 Processed 8.19 count()?? ?

Database 40

Database Analytics Blockchain Healthcare 40

ScaleOut Software

APRIL 3, 2020

Unlike powerful big data platforms which focus on deep and often lengthy analysis to make future projections, what real-time digital twins offer is timeliness in obtaining quick answers to pressing questions using the most current data.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

Unlike powerful big data platforms which focus on deep and often lengthy analysis to make future projections, what real-time digital twins offer is timeliness in obtaining quick answers to pressing questions using the most current data.

Logistics 52

Logistics Analytics Scalability Cloud 52

Rigor

SEPTEMBER 11, 2019

Reading time 16 min Whether you’re a web performance expert, an evangelist for the culture of performance, a web engineer incorporating performance into your process, or someone new to the web performance entirely, you probably identify as curious, excited about new ideas, and always learning. Maximiliano Firtman. Maximiliano Firtman.

Performance 89

Performance Education Google Website 89

KeyCDN

OCTOBER 2, 2018

That’s why we’ve compiled an exhaustive list of web development blogs and newsletters to make this process easier. It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. Be sure to check it out if your dev process needs a creative kick in the pants.

Development 75

Development Website Design Code 75

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.

Architecture 12

Architecture Hardware Cache Storage 12

Highly Scalable

MARCH 10, 2015

More specialized data mining applications like supply chain optimization and fraud detection are out of scope, as well as the implementation details of the data mining process (such as evaluation of model quality). A segment that consistently responds to a certain marketing program is actionable and solid.

Retail 152

Retail C++ Analytics Metrics 152