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

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 201

Artificial Intelligence DevOps Hardware Virtualization 201

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

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

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 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

MARCH 14, 2022

Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

Testsigma

MAY 14, 2021

Cloud-based testing has become quite integral these days. Most businesses have already done the shift towards cloud-based testing. The traditional testing that was done on the software installed on local servers is now slowly fading away. Cloud-based testing comprises cloud-based test automation as well.

Cloud 67

Cloud Testing Testing Tools Internet 67

Testsigma

MAY 26, 2021

In today’s world where ‘data is the new oil’ ( as said by Clive Humby), not giving proper attention to data-driven testing is not justified. If you have an application that needs data input in some form then it will require data-driven testing. The data repository could be a CSV file, excel sheet, DB table, etc.

Testing 70

Testing Healthcare Performance Testing Website 70

All Things Distributed

DECEMBER 20, 2017

How companies can use ideas from mass production to create business with data. Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Strategically, IT doesn't matter. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

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. Unlike manual or automatic log queries, in-memory computing can continuously run analytics code on all incoming data and instantly find issues.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

SEPTEMBER 15, 2020

During the Performance Clinic episode, I asked Stefano to tell us more about this changing world and how we can leverage automation, AI and machine learning to optimize modern software stacks despite the increased complexity. Akamas is comparing data across different experiments to identify the optimal configuration of your system.

Performance 185

Performance Java Metrics Cloud 185

All Things Distributed

SEPTEMBER 6, 2013

Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. . But it is not just Dutch entrepreneurs who build their business in the cloud, also traditional Dutch enterprises are moving to the cloud to improve their agility and cost-effectiveness.

Cloud 129

Cloud Energy AWS Healthcare 129

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

All Things Distributed

NOVEMBER 12, 2012

Expanding the Cloud â?? These companies can now benefit from the fact that the new Asia Pacific (Sydney) Region is similar to all other AWS Regions, which enables software developed for other Regions to be quickly deployed in Australia as well. All Things Distributed. introducing the Asia Pacific (Sydney) Region. Comments ().

Cloud 117

Cloud AWS Ecommerce Latency 117

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

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 187

Analytics Artificial Intelligence Big Data Open Source 187

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. 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

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. 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

Alex Podelko

DECEMBER 19, 2019

. – Performance engineering as it done at Alibaba – which emerging as a major cloud provider. How is DevOps changing the Modern Software Development Landscape? , An Evaluation of Cloud-Native Tools by Karen Hughes, BMC. An Evaluation of Cloud-Native Tools by Karen Hughes, BMC. a Panel Discussion. Or can you?

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

All Things Distributed

JANUARY 19, 2011

AWS Elastic Beanstalk: A Quick and Simple Way into the Cloud. Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. Comments ().

AWS 115

AWS Cloud Java Operating System 115

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 186

Analytics Infrastructure Storage Efficiency 186

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 222

Cloud Monitoring Best Practices Infrastructure 222

All Things Distributed

JULY 13, 2010

Expanding the Cloud - Cluster Compute Instances for Amazon EC2. Today, Amazon Web Services took very an important step in unlocking the advantages of cloud computing for a very important application area. Unlocking the benefits of the cloud for the HPC community. Expanding the Cloud - The AWS Storage Gateway. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

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. Current Telematics Architecture.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

All Things Distributed

DECEMBER 5, 2010

Expanding the Cloud with DNS - Introducing Amazon Route 53. Resolvers operate in a completely separate hierarchy which is bottoms up, starting with software caches in a browser or the OS, to a local resolver or a regional resolver operated by an ISP or a corporate IT service. Expanding the Cloud - The AWS Storage Gateway.

Cloud 117

Cloud Internet Internet AWS 117

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 185

Analytics Innovation Metrics Database 185

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

APRIL 28, 2010

Expanding the Cloud - Opening the AWS Asia Pacific (Singapore) Region. Customers can now store their data and run their applications from our Singapore location in the same way they do from our other U.S. Quite often "The Cloud" is portrayed as something magically transparent that lives somewhere in the internet. Comments ().

AWS 61

AWS Cloud Latency Storage 61

ScaleOut Software

JUNE 15, 2020

thousands of data sources. 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

thousands of data sources. 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

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

Dynatrace

AUGUST 10, 2021

is Dynatrace’s regional roadshow that gives APAC’s leading CIOs, CDOs, Cloud Architects, IT Operations, DevOps, SRE, and AIOps professionals access to live keynotes and breakout learning sessions with local technical experts to accelerate their digital transformation. DynatraceGo! DynatraceGo! How can I make them better?

DevOps 246

DevOps Innovation Big Data Cloud 246

All Things Distributed

DECEMBER 14, 2011

Expanding the Cloud â?? These companies can now benefit from the fact that the new Sao Paulo Region is similar to all other AWS Regions, which enables software developed for other Regions to be quickly deployed in South America as well. Additionally, it allows them to keep their data inside of Brazil. Expanding the Cloud â??

AWS 114

AWS Latency Storage Big Data 114

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 181

Infrastructure Cloud Azure AWS 181

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

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 284

Artificial Intelligence Cloud Innovation Strategy 284

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? NoOps is a concept in software development that seeks to automate processes and eliminate the need for an extensive IT operations team. Can NoOps help the operations teams of today’s organizations?

DevOps 216

DevOps Big Data Cloud Innovation 216