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. A container is a small, self-contained, fully functional software package that can run an application or service, isolated from other applications running on the same host.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Dynatrace

OCTOBER 4, 2022

Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Stop worrying about log data ingest and storage — start creating value instead.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

JUNE 29, 2022

To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture? Hybrid cloud architecture is a computing environment that shares data and applications on a combination of public clouds and on-premises private clouds.

Infrastructure 179

Infrastructure Cloud Azure AWS 179

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Open-source software drives a vibrant Kubernetes ecosystem. Java, Go, and Node.js

Open Source 340

Open Source Java Operating System Programming 340

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. Big data automation tools. Batch process automation.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

ACM Sigarch

APRIL 8, 2019

Computer architecture is an important and exciting field of computer science, which enables many other fields (eg. big-data processing, machine learning, quantum computing, and so on). For those of us who pursued computer architecture as a career, this is well understood. Why is that? Should we be alarmed as a community?

Architecture 74

Architecture Open Source Hardware Software Engineering 74

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. Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture.

Network 325

Network Transportation AWS Cloud 325

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 225

Healthcare Artificial Intelligence Innovation Strategy 225

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. AIOps (artificial intelligence for IT operations) combines big data, AI algorithms, and machine learning for actionable, real-time insights that help ITOps continuously improve operations.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This data is also periodically uploaded to a data lake for offline batch analysis that calculates key statistics and looks for big trends that can help optimize operations.

IoT 78

IoT Analytics Big Data Architecture 78

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper. Why do we need a new reference architecture?

Cloud 104

Cloud Big Data Latency Architecture 104

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? Why is AIOps needed?

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

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. With modern multicloud environments, AIOps must evolve to include the full software delivery lifecycle.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

High Scalability

APRIL 14, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! . this is going to be a challenging journey for any backend engineer! Learn to balance architecture trade-offs and design scalable enterprise-level software.

Education 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! . this is going to be a challenging journey for any backend engineer! Learn to balance architecture trade-offs and design scalable enterprise-level software.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! . this is going to be a challenging journey for any backend engineer! Learn to balance architecture trade-offs and design scalable enterprise-level software.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MAY 26, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! . this is going to be a challenging journey for any backend engineer! Created by former senior-level AWS engineers of 15 years. Try out their platform. Apply here.

Education 100

Education AWS Software Engineering Scalability 100

ScaleOut Software

NOVEMBER 24, 2020

However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. Challenges for Current Architectures.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. Best practices on Building a Big Data Analytics Solution – Michael Rys.

Engineering 40

Engineering Azure Best Practices Servers 40

All Things Distributed

NOVEMBER 15, 2016

The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old. They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. Enter Amazon QuickSight.

Analytics 152

Analytics Availability Media Social Media 152

Percona

JANUARY 19, 2023

ProxySQL: It is a feature-rich open-source MySQL proxy solution, that allows query routing for the most common MySQL architectures (PXC/Galera, Replication, Group Replication, etc.). MyRocks: MyRocks is a storage engine developed by Facebook and made open source. It supports native sharding being transparent for the application.

Open Source 90

Open Source Storage Database Big Data 90

Uber Engineering

OCTOBER 30, 2018

Cluster management, a common software infrastructure among technology companies, aggregates compute resources from a collection of physical hosts into a shared resource pool, amplifying compute power and allowing for the flexible use of data center hardware.

Hardware 103

Hardware Infrastructure Engineering Technology 103

All Things Distributed

APRIL 27, 2011

To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. Look inside a current textbook on software architecture, and youll find few patterns that we dont apply at Amazon.

Technology 151

Technology Technology AWS Storage 151

Brendan Gregg

APRIL 30, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. And we believe that everyone has valuable stories to share: Your tales of trial and error, analysis and workarounds, or architecture migrations, can happen at any company. ## Submit Your Work! Join us for 3 days in Nashville at LISA'18.

DevOps 43

DevOps Network Best Practices Programming 43

Uber Engineering

OCTOBER 30, 2018

Cluster management, a common software infrastructure among technology companies, aggregates compute resources from a collection of physical hosts into a shared resource pool, amplifying compute power and allowing for the flexible use of data center hardware.

Hardware 62

Hardware Infrastructure Engineering Technology 62

Brendan Gregg

APRIL 29, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. And we believe that everyone has valuable stories to share: Your tales of trial and error, analysis and workarounds, or architecture migrations, can happen at any company. ## Submit Your Work! Join us for 3 days in Nashville at LISA'18.

DevOps 40

DevOps Network Best Practices Programming 40

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. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well. From CPU to GPU.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

JULY 13, 2010

During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. Cluster Computer Instances are similar to other Amazon EC2 instances but have been specifically engineered to provide high performance compute and networking.

Cloud 118

Cloud AWS Automotive Latency 118

The Netflix TechBlog

MARCH 25, 2019

Now, imagine yourself in the role of a software engineer responsible for a micro-service which publishes data consumed by few critical customer facing services (e.g. You are about to make structural changes to the data and want to know who and what downstream to your service will be impacted.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. past 3 hours or 10 days).

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202

Java Scalability Traffic Architecture 202

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 :-). Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region.

Cloud 117

Cloud Internet Internet AWS 117

Highly Scalable

MARCH 10, 2015

This approach is also known as the “poor man’s recommendation engine” due to its simplicity [RE03]. PS08] Optimal Targeting through Uplift Modeling, Portrait Software, 2008 [[link]. PY99] Data Preparation for Data Mining, D. RE03] A SAS Market Basket Analysis Macro: The “Poor Man’s Recommendation Engine”, M.

Retail 152

Retail C++ Analytics Metrics 152