ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

APRIL 11, 2023

Application vulnerabilities remain a key concern Application vulnerabilities—weaknesses or flaws in software applications that malicious attackers can use to exploit IT systems—exist in any type of software, including web and mobile applications. Together they equal better software. Shift-right ensures reliability in production.

Cloud 192

Cloud DevOps Open Source Retail 192

Dynatrace

JULY 6, 2022

This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools. These tools provide the means to collect, transfer, and process large volumes of data that are increasingly common in analytics applications.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

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 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

AUGUST 14, 2023

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. In doing so, organizations are maximizing the strategic value of their customer data and gaining a competitive advantage.

Analytics 233

Analytics Social Media Website IoT 233

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 208

Artificial Intelligence DevOps Hardware Virtualization 208

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. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems.

Network 325

Network Transportation AWS Cloud 325

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 193

Analytics Artificial Intelligence Big Data Open Source 193

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 207

Analytics C++ Innovation Engineering 207

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. This new, object-oriented software technique provides a memory-based orchestration framework for tracking and analyzing telemetry from each data source.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Tech News Gather

OCTOBER 7, 2023

These unassuming pieces of software have the potential to reshape the way you engage with your customers, market your products or services, and, ultimately, grow your business. A phone call tracking app is a software tool that enables businesses to monitor and analyze incoming calls. What Is a Phone Call Tracking App?

Strategy 52

Strategy Big Data Scalability Games 52

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Logs on Grail Log data is foundational for any IT analytics.

Analytics 191

Analytics Innovation Metrics Database 191

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

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. What’s next for Grail?

Analytics 239

Analytics Artificial Intelligence Storage Serverless 239

All Things Distributed

DECEMBER 20, 2017

These examples underline that the purpose of software today is not solely to support business processes, but that software solutions have broadly become an essential element in multiple business areas. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Scalegrid

FEBRUARY 8, 2024

Speedier access to stored information within distributed storage is achieved by leveraging software-defined storage solutions and strategies like sharding or distributing sections of large databases and improving scalability by dividing tasks among many servers.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Dutch firm Ohpen has already moved to take advantage of the ruling by choosing AWS to host its core banking platform in an on-demand, software-as-a-service environment.

Cloud 130

Cloud Energy AWS Healthcare 130

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. “It’s quite a big scale,” said an engineer at the financial services group.

Analytics 192

Analytics Infrastructure Storage Efficiency 192

All Things Distributed

DECEMBER 14, 2011

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

AWS 115

AWS Latency Storage Big Data 115

All Things Distributed

AUGUST 19, 2011

For more information: Head of Software Development  . Driving down the cost of Big-Data analytics. This team is constantly rethinking the assumptions behind how traditional databases were built and constantly working on building the right database architectures suited for the Cloud environment. Contact Info.

AWS 77

AWS Database Storage Scalability 77

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. What is test data? To resolve all these problems test data management is the best solution.

Testing 60

Testing Storage Database Processing 60

All Things Distributed

JANUARY 19, 2011

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. Driving down the cost of Big-Data analytics. Comments ().

AWS 115

AWS Cloud Java Scalability 115

Dynatrace

OCTOBER 4, 2022

Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Support diverse analytics workloads.

Artificial Intelligence 214

Artificial Intelligence Storage Analytics Government 214

Dynatrace

OCTOBER 25, 2022

NoOps is a concept in software development that seeks to automate processes and eliminate the need for an extensive IT operations team. Organizations adopt DevOps, where developers and operations work together in a continuous loop, so they can develop software and resolve issues efficiently before they affect users. What is NoOps?

DevOps 222

DevOps Big Data Cloud Innovation 222

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. A truly modern AIOps solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multicloud environments.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

SQL Server According to Bob

FEBRUARY 15, 2018

Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better. If anything just come to see me explain the architecture which is an amazing innovative piece of software. SELECT * FROM Azure Cosmos DB – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. We are heavy users of Jupyter Notebooks and nteract to analyze operational data and prototype visualization tools that help us detect capacity regressions.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

DECEMBER 3, 2009

A wide variety of operating systems and software configurations is available for use. This allows for a very fine-grain control of software and data configuration. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region. No Server Required - Jekyll & Amazon S3.

AWS 60

AWS Storage Operating System Cloud 60

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

DevOps 201

DevOps Artificial Intelligence Healthcare Innovation 201

Dynatrace

AUGUST 10, 2021

BPAY is in the midst of its digital transformation journey in which it is discovering the critical importance of developing “contemporary ways of designing, operating, and using” its software. On the other hand, every single step you take towards intelligently observing data across your organization brings increasingly greater rewards.

DevOps 246

DevOps Innovation Big Data Cloud 246

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. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region. No Server Required - Jekyll & Amazon S3.

Cloud 119

Cloud AWS Automotive Latency 119

All Things Distributed

DECEMBER 5, 2010

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

Cloud 117

Cloud Internet Internet AWS 117

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.” A comprehensive, modern approach to AIOps is a unified platform that encompasses observability, AI, and analytics.

Artificial Intelligence 217

Artificial Intelligence DevOps Innovation Metrics 217

All Things Distributed

APRIL 28, 2010

With some minor configuration changes, they can simply move the software running in the AWS EU Region to the AWS Singapore Region and rapidly begin serving Asia Pacific customers. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region. No Server Required - Jekyll & Amazon S3.

AWS 61

AWS Cloud Latency Storage 61

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. The Dynatrace Software Intelligence Platform provides all-in-one advanced observability. What sets Dynatrace apart?

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183