Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 187

Software Software Analytics Big Data 187

Dynatrace

JANUARY 16, 2023

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

Open Source 342

Open Source Java Operating System Programming 342

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Driving down the cost of Big-Data analytics. Comments ().

Big Data 112

Big Data Analytics AWS Scalability 112

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

The Netflix TechBlog

JULY 15, 2021

I was later hired into my first purely data gig where I was able to deepen my knowledge of big data. After that, I joined MySpace back at its peak as a data engineer and got my first taste of data warehousing at internet-scale. In the data engineering space, very little of the same technology remains.

Data Engineering 189

Data Engineering Engineering Entertainment Big Data 189

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. For many organizations, adopting new technologies can add to management and monitoring challenges, which can slow the pace of transformation.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

DZone

DECEMBER 28, 2020

The introduction of innovative technologies has brought the newest updates in software testing, development, design, and delivery. Nowadays, Big Data tests mainly include data testing, paving the way for the Internet of Things to become the center point. Besides, AI and ML seem to reach a new level.

Software 186

Software Software Testing Big Data 186

All Things Distributed

APRIL 27, 2011

The Amazon.com 2010 Shareholder Letter Focusses on Technology. In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. Given that I have frequently written about many of these technologies on this blog I asked investor relations to be allowed to reprint it here.

Technology 151

Technology Technology AWS Storage 151

Dynatrace

OCTOBER 25, 2022

“AIOps platforms address IT leaders’ need for operations support by combining big data and machine learning functionality to analyze the ever-increasing volume, variety and velocity of data generated by IT in response to digital transformation.” – Gartner Market Guide for AIOps platforms.

DevOps 217

DevOps Big Data Cloud Innovation 217

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., ASPLOS’19. The cluster manager may take one of several resource allocation actions depending on the information provided to it by Seer. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. So, what is ITOps?

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

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. 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 185

Infrastructure Open Source Operating System Cloud 185

Dynatrace

OCTOBER 4, 2022

Stop worrying about log data ingest and storage — start creating value instead. Dynatrace® Grail , an additional core technology for the Dynatrace® Software Intelligence platform , is the world’s first data lakehouse with massively parallel processing (MPP) for context-rich observability, business, and security analytics.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

AUGUST 10, 2021

Carrie called out how at Dynatrace we know it takes a village to achieve the extraordinary, from innovating reliable digital services at speed to learning how to adapt and thrive while managing our increasingly complex, dynamic technology environments. Investing in data is easy but using it is really hard”. She wasn’t wrong.

DevOps 246

DevOps Innovation Big Data Cloud 246

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. During the early months of the COVID-19 pandemic, this trend was undeniably apparent.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

The Netflix TechBlog

JUNE 1, 2021

I personally loved looking at raw data and using it to understand patterns in the world through technology. clinical data was often small enough to fit into memory on an average computer and only in rare cases would its computation require any technical ingenuity or massive computing power. For example?—?clinical

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. Use the technology overview and filter for Azure to access all newly added databases across all subscriptions. See the health of your big data resources at a glance.

Azure 147

Azure Cloud Big Data Virtualization 147

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

DZone

MAY 30, 2019

With big data on the rise and data algorithms advancing, the ways in which technology has been applied to real-world challenges have grown more automated and autonomous. This has given rise to a completely new set of computing workloads for Machine Learning which drives Artificial Intelligence applications.

Artificial Intelligence 100

Artificial Intelligence Social Media FinTech Storage 100

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

The Netflix TechBlog

SEPTEMBER 18, 2020

I bring my breadth of big data tools and technologies while Julie has been building statistical models for the past decade. A lot of my learning and training was self-guided until 2016, when a manager at my last company took a chance on me and helped me make the rare transfer from a role in HR to Data Science.

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

SEPTEMBER 15, 2020

I sat down with Stefano to answer the incoming questions offline and now using the rest of the blog to bring those answers to you: Q1: What type of technologies does Akamas support? 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

The Netflix TechBlog

JUNE 1, 2021

At Netflix, the work that data engineers do to produce data in a robust, scalable way is incredibly important to provide the best experience to our members as they interact with our service. The prospect was daunting at first. Looking back now, I’m incredibly grateful for the opportunity and glad that I took it.

Data Engineering 138

Data Engineering Engineering Software Engineering Big Data 138

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

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

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.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

OCTOBER 7, 2015

Big data challenges. Over the last several years, AWS has delivered on a comprehensive set of services to help customers collect, store, and process their growing volume of data. QuickSight is a cloud-native BI service built from the ground up to address the big data challenges around speed, complexity, and cost.

Cloud 138

Cloud Big Data AWS Analytics 138

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. As the number of records increases, Memcached’s memory usage substantially grows, revealing less memory efficiency than Redis.

Cache 130

Cache Storage Scalability Architecture 130

The Netflix TechBlog

MAY 4, 2023

Given the scale of the data being generated using replay traffic, we record the responses from the two sides to a cost-effective cold storage facility using technology like Apache Iceberg. This summary provides an excellent high-level view of the analysis and the overall match rate across the production and replay paths.

Traffic 339

Traffic Latency Tuning Systems 339

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. By understanding the advantages of deterministic AI, you can choose an AIOps platform that helps you transform faster and achieve autonomous operations.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Dynatrace

JUNE 1, 2020

Application Performance Monitoring and the technologies and use cases it covers, has expanded rapidly. Artificial intelligence for IT operations (AIOps): AIOps platforms combine big data and machine learning functionality to support IT operations. How does Gartner defines Application Performance Monitoring?

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

All Things Distributed

JUNE 26, 2016

A region in India has been highly sought after by companies around the world who want to participate in one of the most significant economic opportunities in the world – India, a rising economy that holds tremendous promise for growth, a thriving technology hub with a rich eco-system of technology talent, and more.

AWS 90

AWS Cloud Healthcare Blockchain 90

The Netflix TechBlog

JUNE 7, 2021

Netflix software infrastructure is a large distributed ecosystem that consists of specialized functional tiers that are operated on the AWS and Netflix owned services.

Network 325

Network Transportation AWS Cloud 325

All Things Distributed

NOVEMBER 15, 2016

The cost and complexity to implement, scale, and use BI makes it difficult for most companies to make data analysis ubiquitous across their organizations. QuickSight is a cloud-powered BI service built from the ground up to address the big data challenges around speed, complexity, and cost. Enter Amazon QuickSight.

Analytics 152

Analytics Availability Media Social Media 152

Dynatrace

JUNE 1, 2020

Gartner defines APM as: Application Performance Monitoring and the technologies and use cases it covers, has expanded rapidly. Artificial intelligence for IT operations (AIOps): AIOps platforms combine big data and machine learning functionality to support IT operations.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

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

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 212

Artificial Intelligence DevOps Innovation Metrics 212