Dynatrace

JULY 6, 2022

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. Automating IT practices offers enterprises faster data centers and cloud operations, as well as increased flexibility and accuracy. IT automation tools can achieve enterprise-wide efficiency. Read eBook now!

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

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. Increased business innovation. For example: Greater IT staff efficiency. What is AIOps, and how does it work? Expanded collaboration.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. 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 225

Healthcare Artificial Intelligence Innovation Strategy 225

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. What is cloud monitoring? ” The post What is cloud monitoring?

Cloud 220

Cloud Monitoring Best Practices Infrastructure 220

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. Alert fatigue and chasing false positives are not only efficiency problems. SecOps: Applying AIOps to secure applications in real time.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

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. They are continuously innovating compression algorithms to efficiently send high quality audio and video files to our customers over the internet. How do your projects impact the business at Netflix?

Analytics 223

Analytics Education Innovation Engineering 223

The Netflix TechBlog

JUNE 1, 2021

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. There was not enough scope to explore the distributed and large-scale computing challenges that usually come with big data processing.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

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.” But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

The Netflix TechBlog

MARCH 2, 2021

Our experimentation and causal inference focused data scientists help shape business decisions, product innovations, and engineering improvements across our service. In this post, we discuss a day in the life of experimentation and causal inference data scientists at Netflix, interviewing some of our stunning colleagues along the way.

Analytics 207

Analytics C++ Innovation Engineering 207

All Things Distributed

JUNE 26, 2016

Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. Let’s build groundbreaking innovations together.

AWS 90

AWS Cloud Healthcare Blockchain 90

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

All Things Distributed

JUNE 29, 2011

Often we think about innovation as going after new unchartered territories, but it is also important to innovate in those existing dimensions that will remain important for customers. Our account managers periodically call customers to work with them to see if there are opportunities to create better efficiencies and lower bills.

AWS 104

AWS Retail Innovation Strategy 104

All Things Distributed

DECEMBER 20, 2017

For example, Kärcher, the maker of cleaning technologies, manages its entire fleet through the cloud solution "Kärcher Fleet" This transmits data from the company's cleaning devices e.g. about the status of maintenance and loading, when the machines are used, and where the machines are located. This pattern should be broken.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Testsigma

FEBRUARY 12, 2021

From AI to ML, the shifting technology world is constantly innovating and making significant progress. 38% of organisations were expected to introduce machine-learning initiatives in 2019, according to the Capgemini World Efficiency survey. Many changes are rendered through automated testing. billion in 2019 to $40.74

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

ScaleOut Software

NOVEMBER 24, 2020

Rapid advances in the telematics industry have dramatically boosted the efficiency of vehicle fleets and have found wide ranging applications from long haul transport to usage-based insurance. Competitive pressures should spark innovation in this area, and real-time digital twins can help. Current Telematics Architecture.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

All Things Distributed

DECEMBER 13, 2009

Spot Instances are an innovation that is made possible by the unparalleled economies of scale created by the tremendous growth of the AWS Infrastructure Services. The broad Amazon EC2 customer base brings such diversity in workload and utilization patterns that it allows us to operate Amazon EC2 with extreme efficiency.

Cloud 63

Cloud AWS Storage Innovation 63

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

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take Peterborough City Council as an example. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

The Netflix TechBlog

FEBRUARY 16, 2021

However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple? We value knowledge sharing, and it’s the drive for industry innovation. What’s Next?

Mobile 209

Mobile Engineering Infrastructure Scalability 209

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

ACM Sigarch

NOVEMBER 1, 2019

As is the case for many high-quality computer systems conferences, the papers presented here involve a significant amount of engineering and experimentation on real hardware to convincingly evaluate innovative concepts end-to-end in a realistic setting. ATC ’19 was refreshingly different.

Architecture 12

Architecture Hardware Cache Storage 12

Highly Scalable

MARCH 10, 2015

More specifically, the article was inspired by three major case studies from Albert Heijn [KOK07], the largest supermarket chain in the Netherlands, Zara [CA12], an international apparel retailer, and RueLaLa [JH14], an innovative online fashion retailer. At the same time, we avoid academic results with little or no empirical support.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

DECEMBER 12, 2018

We are also enabling some of the Nordics' most successful startups and gaming companies, such as: Bambora, Evolution Gaming, Hemnet, iZettle, KRY, LEO Innovation Lab, Lingit, Lunar Way, Mapillary, Mathem, Mojang, Paradox Interactive, Quinyx, Rovio, Supercell, Tidal, Trustpilot, Tink, and Vivino. Public sector.

AWS 124

AWS Cloud Games Serverless 124

All Things Distributed

NOVEMBER 15, 2010

Today Amazon Web Services takes another step on the continuous innovation path by announcing a new Amazon EC2 instance type: The Cluster GPU Instance. We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. Comments ().

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. The workplace of the future.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

The Netflix TechBlog

SEPTEMBER 10, 2019

Instead of relying on engineers to productionize scientific contributions, we’ve made a strategic bet to build an architecture that enables data scientists to easily contribute. The two main challenges with this approach are establishing an easy contribution framework and handling Netflix’s scale of data. This is an ongoing journey.

Metrics 215

Metrics Architecture Infrastructure Innovation 215