The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

MARCH 24, 2023

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. Apache Mesos with the Marathon DC/OS is popular for large-scale production clusters running existing workloads on big data systems, such as Hadoop, Kafka, and Spark.

Infrastructure 188

Infrastructure Open Source Operating System Cloud 188

Dynatrace

SEPTEMBER 15, 2020

After every experiment run Akamas changes application, runtime, database or cloud configuration based on monitoring data it captured during the previous experiment run. Supported technologies include cloud services, big data, databases, OS, containers, and application runtimes like the JVM.

Performance 187

Performance Java Metrics Cloud 187

Scalegrid

NOVEMBER 25, 2019

Google Cloud does offer their own wide column store and big data database called Bigtable which is actually ranked #111, one under ScyllaDB at #110 on DB-Engines. The remaining 21% of time-consuming tasks reported by ScyllaDB users include monitoring, migrations, provisioning, balancing shards, compaction and patching.

Big Data 187

Big Data Database Open Source Azure 187

Dynatrace

APRIL 11, 2023

Convergence of observability and security data is a must As digital transformation accelerates, most organizations house hybrid cloud environments for which observability and security are paramount concerns. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud 189

Cloud DevOps Open Source Retail 189

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 224

Cloud Monitoring Best Practices Infrastructure 224

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. Pediatricians use these applications to monitor the heart rate of child patients. This perfect storm of challenges has led to the accelerated adoption of artificial intelligence, including AIOps.

Healthcare 230

Healthcare Artificial Intelligence Innovation Strategy 230

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

The Netflix TechBlog

MAY 4, 2023

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. We use this additional logging to debug and identify the root cause of issues driving the mismatches.

Traffic 339

Traffic Latency Tuning Systems 339

Tech News Gather

OCTOBER 7, 2023

In this digital age, where every click and interaction can be tracked, monitored, and optimized, have you ever considered the remarkable potential of a phone call tracking app? A phone call tracking app is a software tool that enables businesses to monitor and analyze incoming calls.

Strategy 52

Strategy Big Data Scalability Games 52

The Netflix TechBlog

JUNE 7, 2021

The attributed flow data drives various use cases within Netflix like network monitoring and network usage forecasting available via Lumen dashboards and machine learning based network segmentation. The data is also used by security and other partner teams for insight and incident analysis.

Network 325

Network Transportation AWS Cloud 325

Percona

JANUARY 19, 2023

It was developed for optimizing data storage and access for big data sets. There is a cool blog post from Vadim covering big data sets in MyRocks: MyRocks Use Case: Big Dataset Query tuning: It is common to find applications that at the beginning perform very well, but as data grows the performance starts to decrease.

Open Source 93

Open Source Storage Database Big Data 93

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data 98

Big Data Mobile Latency Database 98

High Scalability

APRIL 14, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 102

Education Software Engineering Scalability Engineering 102

Rigor

MAY 22, 2019

Big data is like the pollution of the information age. The Big Data Struggle and Performance Reporting. Alternatively, a number of organizations have created their own internal home-grown systems for managing and distilling web performance and monitoring data. The Value of Performance Monitoring Dashboards.

Big Data 76

Big Data Monitoring Performance Metrics 76

High Scalability

MARCH 30, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MAY 26, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 100

Education AWS Software Engineering Scalability 100

All Things Distributed

JANUARY 6, 2016

We believe that with the launch of the Seoul Region, AWS will enable many more enterprise customers in Korea to reduce the cost of their IT operations and innovate faster in critical new areas such as big data analysis, Internet of Things, and more. Many of these enterprises are assisted by our extensive partner ecosystem in Korea.

AWS 110

AWS Cloud Games Latency 110

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. In addition to improved IT operational efficiency at a lower cost, ITOA also enhances digital experience monitoring for increased customer engagement and satisfaction. Apache Spark.

Analytics 190

Analytics Artificial Intelligence Big Data Open Source 190

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring. Application monitoring. Dynatrace news.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Scalegrid

FEBRUARY 8, 2024

These distributed storage services also play a pivotal role in big data and analytics operations. Big data analytics mines expansive datasets collected from hospitals and personal medical devices at home. The health sector provides an illustration of the critical importance of analyzing large volumes of information.

Storage 130

Storage Systems Big Data Azure 130

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g.,

Latency 52

Latency Hardware Cache 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.

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.

Analytics 52

Analytics IoT Lambda Big Data 52

Testsigma

MAY 26, 2021

Scenario 4: Image-based data-driven testing. Photo management applications, e-commerce websites, search engines, healthcare, disaster monitoring, robotics, etc. The test data is then run on the algorithm to decide the accuracy, predictability, and precision of the spam detection algorithm. Conclusion.

Testing 70

Testing Healthcare Performance Testing Website 70

Testsigma

MAY 14, 2021

Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Together with the evaluation of the testing activities, we need to estimate the cost involved as well. Technology: We need to decide what technologies we will be using for cloud testing. Testsigma as a cloud-based test automation tool.

Cloud 67

Cloud Testing Testing Tools Internet 67

Dynatrace

AUGUST 14, 2023

Collect user behavior data Organizations typically use analytics software to collect a large volume of data on user behavior from relevant sources. These sources can include the website or app itself, a data warehouse or a customer data platform (CDP), or social media monitoring tools.

Analytics 231

Analytics Social Media Website IoT 231

DZone

AUGUST 4, 2022

Spark-Radiant is Apache Spark Performance and Cost Optimizer. Spark-Radiant will help optimize performance and cost considering catalyst optimizer rules, enhance auto-scaling in Spark, collect important metrics related to a Spark job, Bloom filter index in Spark, etc. Spark-Radiant is now available and ready to use. is available in Maven central.

Performance 246

Performance Metrics Availability Big Data 246

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. Complete Web Monitoring.

Performance 75

Performance Social Media Website Website Performance 75

Dynatrace

APRIL 19, 2023

. “We relied on customers (our players) to call us and let us know if something was broken and had scattered monitoring tools,” Mehdiabadi says. Mehdiabadi says the company can now easily forecast both frontend and backend data to see everything that’s going on. “Our players just see the frontend.

Entertainment 159

Entertainment Analytics Healthcare Games 159

O'Reilly

OCTOBER 21, 2019

Blockchains enable a permanent and tamper-proof record of a good’s journey from origin to ultimate destination that anyone in the community can monitor and audit. Not only are consumers demanding more transparency, but there are two business reasons for it: transparency can help optimize operations, and it can increase customer preference.

Blockchain 52

Blockchain Social Media Innovation Internet 52

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Once products and services are live, IT teams must continuously monitor and manage them. What is AIOps, and how does it work?

Artificial Intelligence 288

Artificial Intelligence Cloud Innovation Strategy 288

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. At Dynatrace Perform 2023 , Maciej Pawlowski, senior director of product management for infrastructure monitoring at Dynatrace, and a senior software engineer at a U.K.-based

Analytics 190

Analytics Infrastructure Storage Efficiency 190

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 43

DevOps Network Best Practices Programming 43