Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 197

Analytics Artificial Intelligence Big Data Open Source 197

Dynatrace

OCTOBER 25, 2022

But advancements in modern AIOps and cloud automation are now bringing NoOps within reach. Or is it just a passing cloud? Early implementations of NoOps were just ‘lift and shift’ efforts that replicated existing systems to the cloud. For most, the goal of automating everything and eliminating operations has been aspirational.

DevOps 225

DevOps Big Data Cloud Innovation 225

Dynatrace

JUNE 26, 2023

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. Cloud automation.

Software 196

Software Software Analytics Big Data 196

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. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. Aggregation.

Artificial Intelligence 294

Artificial Intelligence Cloud Innovation Strategy 294

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.

Artificial Intelligence 211

Artificial Intelligence DevOps Hardware Virtualization 211

Scalegrid

FEBRUARY 8, 2024

Real-World Use Cases of Distributed Storage Distributed storage systems are the backbone of massively scalable storage services, designed to serve both cloud-based and on-premises environments. These systems enable vast amounts of data to be spread over multiple nodes, allowing for simultaneous access and boosting processing efficiency.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes moved to the cloud in 2022. Kubernetes moved to the cloud in 2022.

Open Source 349

Open Source Java Operating System Programming 349

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. The range of use cases for automating IT is as broad as IT itself.

Artificial Intelligence 198

Artificial Intelligence Tuning Strategy Big Data 198

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. This second solution picks up at data collection, aggregation, and analysis, preparing it for execution. AIOps use cases.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

OCTOBER 4, 2022

While data lakehouses combine the flexibility and cost-efficiency of data lakes with the querying capabilities of data warehouses, it’s important to understand how these storage environments differ. Data warehouses. Data warehouses were the original big data storage option.

Artificial Intelligence 218

Artificial Intelligence Storage Analytics Government 218

Dynatrace

FEBRUARY 16, 2023

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. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Kubernetes makes spans longer,” Ortner explains.

Analytics 195

Analytics Innovation Metrics Database 195

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Testsigma

SEPTEMBER 8, 2021

Cloud-based technologies are on a rise today. Even if I deviate a bit from core IT fundamentals, the pandemic of 2021 made cloud tech a hero. This is just a small example that we all can relate to and understand the cloud. This is just a small example that we all can relate to and understand the cloud.

Cloud 76

Cloud Testing AWS Testing Tools 76

All Things Distributed

OCTOBER 7, 2015

We live in a world where massive volumes of data are generated from websites, connected devices and mobile apps. In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data.

Cloud 137

Cloud Big Data AWS Analytics 137

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 209

Analytics Big Data Media Operating System 209

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 221

Artificial Intelligence DevOps Innovation Metrics 221

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

JUNE 20, 2017

In addition to established enterprises, government organizations, and rapidly growing startups, AWS also has a vibrant ecosystem in Hong Kong, including partners that have built cloud practices and innovative technology solutions on AWS. AWS Partner Network (APN) Consulting Partners in Hong Kong help customers migrate to the cloud.

AWS 146

AWS Logistics Cloud Social Media 146

All Things Distributed

JUNE 26, 2016

Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. Advanced problem solving that connects big data with machine learning. At-scale computing and visual analysis.

AWS 90

AWS Cloud Healthcare Blockchain 90

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.

AWS 110

AWS Cloud Games Latency 110

Dynatrace

SEPTEMBER 15, 2020

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!

Performance 192

Performance Java Metrics Cloud 192

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises.

IoT 78

IoT Analytics Big Data Architecture 78

O'Reilly

SEPTEMBER 19, 2023

Cloud computing? Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” And, often, to giving up.

Hardware 97

Hardware Storage Big Data Blockchain 97

The Netflix TechBlog

MARCH 25, 2019

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Netflix’s diverse data landscape made it challenging to capture all the right data and conforming it to a common data model.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

All Things Distributed

NOVEMBER 5, 2015

This region will provide even lower latency and strong data sovereignty to local users. More startups, small and medium businesses, large enterprises, universities, and government organizations all over the world are moving to the AWS Cloud faster than ever before.

AWS 167

AWS Retail Entertainment IoT 167

All Things Distributed

NOVEMBER 15, 2016

Previously, I wrote about Amazon QuickSight , a new service targeted at business users that aims to simplify the process of deriving insights from a wide variety of data sources quickly, easily, and at a low cost. QuickSight is a very fast, cloud-powered, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Analytics 152

Analytics Availability Media Social Media 152

All Things Distributed

SEPTEMBER 29, 2016

Since we opened the first AWS EU Region in Ireland in November 2007, we have seen an acceleration of companies adopting the AWS Cloud. Our teams are helping companies of all sizes, operating in various industries, such as finance, business, media, and many others, move to the cloud.

AWS 166

AWS IoT Internet Internet 166

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. In the first phase, CXL memory should be transparent to applications without requiring changes, especially in public cloud environments.

Latency 52

Latency Hardware Cache Architecture 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. There is a strong argument for ELT i.e. extract, load, and transform model. Classic ETL. There is no capacity planning needed.

Big Data 40

Big Data Retail Storage Google 40

All Things Distributed

APRIL 4, 2017

In addition to established enterprises, government organizations, and rapidly growing startups, AWS also has a vibrant ecosystem in the Nordics, including partners that have built cloud practices and innovative technology solutions on AWS. AWS Partner Network (APN) Consulting Partners in the Nordics help customers migrate to the cloud.

AWS 116

AWS Airlines Latency Games 116

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. The results of batch analysis are typically produced after an hour’s delay or more. A second key limitation is the lack of real-time aggregate analysis.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. By knowing this, Kärcher can generate new top-line revenue in the form of subscription models for its analysis portal. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

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. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52