Dynatrace

OCTOBER 4, 2022

A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Therefore, it contains all of an organization’s data. Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. Data management.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. The post What is container orchestration?

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

AUGUST 10, 2021

Intelligent Observability includes the ability to not only monitor applications but gain actionable insights that can be used to transform services and create great customer experiences. These two are tied together, because as Yorck puts it, “If we don’t keep our data secure, who would believe in us? She wasn’t wrong.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

JULY 6, 2020

In addition to providing AI-powered full-stack monitoring capabilities , Dynatrace has long featured broad support for Azure Services and intuitive, native integration with extensions for using OneAgent on Azure. Use the technology overview and filter for Azure to access all newly added databases across all subscriptions.

Azure 147

Azure Cloud Big Data Virtualization 147

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. Akamas is a flexible optimization platform and optimizes many market-leading technologies thanks to its Optimization Pack library.

Performance 185

Performance Java Metrics Cloud 185

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 185

Analytics Innovation Metrics Database 185

Dynatrace

JUNE 29, 2022

A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid environments provide more options for storing and analyzing ever-growing volumes of big data and for deploying digital services.

Infrastructure 181

Infrastructure Cloud Azure AWS 181

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. APM can be referred to as: Application performance monitoring.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. Many hospitals adopted telehealth and other virtual technology to deliver care and reduce the spread of disease. Pediatricians use these applications to monitor the heart rate of child patients.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

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

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. Analyze the data. AIOps use cases. The goal of AIOps is to automate operations across the enterprise. Execute an action plan.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. At Netflix Studio, teams build various views of business data to provide visibility for day-to-day decision making. tactical) in nature.

Big Data 253

Big Data Government Analytics Processing 253

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.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 211

Artificial Intelligence DevOps Innovation Metrics 211

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

Scalegrid

MARCH 14, 2024

Integrating technology from private and public clouds and on-premises resources within one hybrid cloud platform creates an integrated IT infrastructure that leverages the strengths of each component. A pivotal element of any hybrid cloud strategy is adhering to regulatory requirements and compliance standards specific to an industry.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

DECEMBER 13, 2016

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

ScaleOut Software

JULY 19, 2021

To address these challenges and countless others like them, we need autonomous, deep introspection on incoming data as it arrives and immediate responses. The technology that can do this is called in-memory computing. A New Approach: Real-Time Device Tracking.

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

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. From AI to ML, the shifting technology world is constantly innovating and making significant progress. You will invest more time on technologies instead of bug fixes by implementing DevTestOps.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Percona

JANUARY 19, 2023

While the technologies have evolved and matured enough, there are still some people thinking that MySQL is only for small projects or that it can’t perform well with large tables. It was developed for optimizing data storage and access for big data sets. MyRocks is shipped in Percona Server for MySQL.

Open Source 87

Open Source Storage Database Big Data 87

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

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

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

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

Abhishek Tiwari

JULY 7, 2023

In the era of big data and complex data processing, data pipelines have emerged as a popular solution for managing and manipulating data. They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

Testsigma

MAY 14, 2021

Definitely, cloud testing will involve some new technology and the testers will need to learn them. Technology: We need to decide what technologies we will be using for cloud testing. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Do we need to learn new skills?

Cloud 67

Cloud Testing Testing Tools Internet 67

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

O'Reilly

OCTOBER 21, 2019

Technology does not make a market. It’s only when millions of people make individual decisions to use a new product or service that a technology takes hold. Blockchains show potential to address key concerns of our digitally driven lives, such as a lack of transparency, accountability, verifiable identity, and control of data.

Blockchain 52

Blockchain Social Media Innovation Internet 52

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. This book is about performance problems and the various technologies created to fight them. Complete Web Monitoring.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

JANUARY 19, 2011

To battle this complexity, developers who do not need control over the whole software stack often use development platforms that help them manage their application development, deployment and monitoring. Driving down the cost of Big-Data analytics. The Amazon.com 2010 Shareholder Letter Focusses on Technology.

AWS 115

AWS Cloud Java Operating System 115

All Things Distributed

FEBRUARY 25, 2011

They also setup Auto Scaling, EC2 and RDS Security Groups, configure CloudWatch monitoring and alarms, and use SNS for notifications. Driving down the cost of Big-Data analytics. The Amazon.com 2010 Shareholder Letter Focusses on Technology. Introducing the AWS South America (Sao Paulo) Region. APAC Summer Tour.

AWS 121

AWS Cloud Scalability Storage 121

ScaleOut Software

NOVEMBER 24, 2020

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. Every few seconds, the application servers collect batches of snapshots and write them to the database where they can be queried by dispatchers managing the fleet.

Analytics 52

Analytics Architecture Scalability Software Architecture 52