Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. How does container orchestration work?

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. AI-Assistance.

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. A network administrator sets up a network, manages virtual private networks (VPNs), creates and authorizes user profiles, allows secure access, and identifies and solves network issues.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

JULY 6, 2020

Azure Virtual Network Gateways. Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure DB for PostgreSQL. Azure SQL Managed Instance. Azure HDInsight.

Azure 227

Azure Cloud Big Data Virtualization 227

Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Dynatrace

AUGUST 10, 2021

Vikash Chhaganlal , GM of Engineering and Infrastructure at Kiwibank said it. She’s quite clear about which kinds of data, though. Sudden Compass is made up of strategists, product leaders, data analysts, and network-builders. Investing in data is easy but using it is really hard”. And they were. That speaks to me.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. And this expansion shows no sign of slowing down.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

The Netflix TechBlog

SEPTEMBER 18, 2020

—?and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. Photo from a team curling offsite?—?There’s There’s us to the right!

Analytics 230

Analytics Education Innovation Engineering 230

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. AI-Assistance.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

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 246

Infrastructure Cloud Azure AWS 246

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. The four stages of data processing. AIOps supports that with the ability to assess applications during development, delivery, and deployment.

DevOps 246

DevOps Artificial Intelligence Healthcare Innovation 246

The Netflix TechBlog

DECEMBER 21, 2020

Some of the optimizations are prerequisites for a high-performance data warehouse. Sometimes Data Engineers write downstream ETLs on ingested data to optimize the data/metadata layouts to make other ETL processes cheaper and faster. AutoOptimize reduces end to end lag in data processing by optimizing as we go.

Storage 212

Storage Latency Efficiency Data Engineering 212

All Things Distributed

JUNE 20, 2017

As well as AWS Regions, we also have 21 AWS Edge Network Locations in Asia Pacific. It's an entertainment website where users can post content or "memes" that they find amusing and share them across social media networks. AWS Partner Network (APN) Consulting Partners in Hong Kong help customers migrate to the cloud.

AWS 126

AWS Logistics Cloud Social Media 126

Alex Podelko

DECEMBER 19, 2019

– Performance engineering as it done at Alibaba – which emerging as a major cloud provider. – Clearly a hot topic – and the most interesting point here would be how it is changing performance engineering. Meeting of the Minds: Performance Engineering. a Panel Discussion. You can’t always get what you want. .

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

All Things Distributed

APRIL 4, 2017

It will also give customers another region where they can store their data with the knowledge that it will not leave the EU unless they move it. As well as AWS Regions, we also have 24 AWS Edge Network Locations in Europe. AWS Partner Network (APN) Consulting Partners in the Nordics help customers migrate to the cloud.

AWS 107

AWS Airlines Latency Games 107

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving down the cost of Big-Data analytics.

Technology 129

Technology Technology AWS Storage 129

All Things Distributed

AUGUST 20, 2012

With Amazon Glacier any organization now has access to the same data archiving capabilities as the worldâ??s We see many young businesses engaging in large-scale big-data collection activities, and storing all this data can become rather expensive over time- archiving their historical data sets in Amazon Glacier is an ideal solution.

Storage 114

Storage Cloud AWS Media 114

ScaleOut Software

JULY 19, 2021

If a cyber network agent has observed an unusual pattern of failed login attempts, it needs to alert downstream network nodes (servers and routers) to block the kill chain in a potential attack. The list goes on. The Limitations of Today’s Streaming Analytics. A New Approach: Real-Time Device Tracking.

IoT 78

IoT Big Data Analytics Architecture 78

Scalegrid

MARCH 14, 2024

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

DECEMBER 8, 2016

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. Kik Interactive is a Canadian chat platform with hundreds of millions of users around the globe.

AWS 131

AWS Cloud Lambda Innovation 131

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 78

Big Data Mobile Latency Database 78

All Things Distributed

NOVEMBER 30, 2016

Around 20 years ago, we used machine learning in our recommendation engine to generate personalized recommendations for our customers. in ML and neural networks) and access to vast amounts of data. From the early days of Amazon, Machine learning (ML) has played a critical role in the value we bring to our customers.

AWS 153

AWS Lambda Artificial Intelligence Mobile 153

All Things Distributed

DECEMBER 12, 2018

We launched Edge Network locations in Denmark, Finland, Norway, and Sweden. million vehicles in more than 75 countries with services like car locator, engine remote start, driving journal, heater start, and stolen vehicle tracking. Today, we add to that presence with an infrastructure Region in Stockholm with three Availability Zones.

AWS 119

AWS Cloud Games Serverless 119

All Things Distributed

DECEMBER 5, 2010

There is more than one Werner Vogels in this world and although I never get emails, snail mail or phones calls for any of my peers, I am sure they are somewhat frustrated if they type in our name in a search engine :-). Route 53 provides Authoritative DNS functionality implemented using a world-wide network of highly-available DNS servers.

Cloud 113

Cloud Internet Internet AWS 113

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 98

Cloud AWS Automotive Latency 98

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 134

Hardware Storage Big Data Blockchain 134

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Shell''s scientists, especially the geophysicists and drilling engineers, frequently use cloud computing to run models.

Cloud 102

Cloud Energy AWS Healthcare 102

All Things Distributed

JUNE 26, 2016

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. Advanced problem solving that connects big data with machine learning. A workflow engine to drive business decisions. We are at the cusp of a dramatic age of technology.

AWS 77

AWS Cloud Healthcare Blockchain 77

All Things Distributed

AUGUST 17, 2011

Amazon S3 is much more than just storage; the network and distributed systems infrastructure to ensure that content can be served fast and at high rates without customers impacting each other, is amazing. Jekyll in written in Ruby and uses YAML for metadata management and uses the Liquid template engine to manipulate the content.

Servers 111

Servers Social Media AWS Website 111

All Things Distributed

NOVEMBER 15, 2010

A third generation of APIs, however, left the graphics specifics interfaces behind and instead focused on exposing the pipeline as a generic highly parallel engine supporting task and data parallelism. Driving down the cost of Big-Data analytics. Where to go from here? Introducing the AWS South America (Sao Paulo) Region.

AWS 125

AWS Programming Latency Architecture 125

Highly Scalable

JANUARY 31, 2012

Each Mapper runs simulation for specified amount of data which is 1/Nth of the required sampling and emit error rate. Applications: Physical and Engineering Simulations, Numerical Analysis, Performance Testing. In other words, it can be more efficient to sort data once during insertion than sort them for each MapReduce query.

C++ 144

C++ Network Ecommerce Processing 144

Scalegrid

MARCH 28, 2024

As Redis stores data, it supports extensive data key and string lengths, up to 512 MB, while offering complex data structures like: lists sets sorted sets hashes bitmaps These features make Redis much more than a basic caching engine; it is a versatile tool capable of supporting diverse data models.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

JANUARY 19, 2011

and Engine Yard , Springsource users have CloudFoundry. Driving down the cost of Big-Data analytics. 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.

AWS 100

AWS Cloud Java Scalability 100

Rigor

JANUARY 13, 2020

When it comes to web content, you can easily find what you need through many different paths, from search engines and social media to playlists and blogs, jumping from one source to another with just a tap of a finger. High Performance Browser Networking. Fail, and you can kiss your customers and profits goodbye.” Time is Money.

Performance 75

Performance Social Media Website Website Performance 75

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. Heterogeneous ISA. Programmable I/O Devices.

Architecture 12

Architecture Hardware Cache Storage 12

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). Networking sessions that create opportunities for students to interact with graduate students and established architects in academia and industry. Lena Olson is a Software Engineer at Google. .

Architecture 74

Architecture Open Source Hardware Software Engineering 74

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we will see new data integration patterns those rely either on a shared high-performance distributed storage interface ( Alluxio ) or a common data format ( Apache Arrow ) sitting between compute and storage. For instance, Alluxio, originally known as Tachyon, can potentially use Arrow as its in-memory data structure.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49