Dynatrace

APRIL 19, 2023

Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision. Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. API access management.

Design 201

Design Storage Programming Analytics 201

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. IT modernization can help.

Government 213

Government Infrastructure Programming Cloud 213

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. OpenTelemetry was purposely conceived to complement — and not compete with — existing analytical tools.

Artificial Intelligence 202

Artificial Intelligence Open Source Analytics Monitoring 202

Dynatrace

NOVEMBER 28, 2022

Today, application modernization efforts are centered on application programming interfaces and microservices that are sensitive to startup latency. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. Simplify error analytics.

Lambda 232

Lambda AWS Serverless Latency 232

Dynatrace

FEBRUARY 15, 2023

Additionally, its modern architecture delivers cost-effective storage and compute. As a result, for the first time, any team in an organization can create intelligent apps powered by causal AI and build integrations for use cases and technologies specific to their unique business requirements and technology stacks.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

NOVEMBER 22, 2022

But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. They also need a way to track all the services running on their distributed architectures, from multicloud environments to the edge. What is always-on infrastructure?

Infrastructure 191

Infrastructure Availability Systems Retail 191

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model.

Retail 245

Retail Storage Best Practices Architecture 245

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. However, Redis, with its single-threaded architecture, may encounter bottlenecks with large numbers of concurrent connections.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

DECEMBER 9, 2021

The open-source scripting language PHP is used by over 78% of all websites that use a server-side programming language. Dynatrace news. PHP is widely used in web development by prominent social media companies, content management systems, and video teleconferencing brands. It ranks eighth in terms of GitHub pull requests statistics.

Social Media 195

Social Media Open Source Media Cloud 195

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Strategic Tech

FEBRUARY 19, 2020

I remember as a young, naive software developer, I assumed there would be structured processes and patterns similar to those used for designing a software architecture. I crave structure and analytical thinking patterns to design optimal solutions. Arbitrarily choosing team boundaries based on what appeared to be their gut instinct.

Architecture 64

Architecture Strategy Design Software Architecture 64

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

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. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

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. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

ScaleOut Software

JANUARY 31, 2020

Consider the typical, conventional streaming analytics pipeline available on popular cloud platforms: A conventional pipeline combines telemetry from all data sources into a single stream which is queried by the user’s streaming analytics application. However, real-time digital twins easily bring these capabilities within reach.

Analytics 52

Analytics Social Media Serverless Cloud 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 5, 2021

While AWS and Azure promote the same capabilities — and perhaps a similar ultimate vision — their architectures are not equivalent. Media streaming giant Netflix, for example, estimates that it uses as many as 700 individual APIs in its microservices architecture. How Azure Functions works.

Azure 138

Azure Serverless IoT Lambda 138

ScaleOut Software

JANUARY 28, 2021

Conventional, enterprise data architectures take months to develop and are complex to change. A software technology called in-memory computing has evolved over the last twenty years to grapple with the challenge of tracking and analyzing fast-changing data. Is there a simpler, faster way to wrangle this data for crisis managers?

Logistics 84

Logistics Airlines Analytics Ecommerce 84

Dynatrace

JANUARY 28, 2021

Organizations that want a high-performance language with a great ecosystem for their applications often use Golang , an open-source programming language. Such additional telemetry data includes user-behavior analytics, code-level visibility, and metadata (including open-source data). Dynatrace news.

Traffic 173

Traffic Open Source Servers Cloud 173

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Monitoring , by textbook definition, is the process of collecting, analyzing, and using information to track a program’s progress toward reaching its objectives and to guide management decisions. Dynatrace news.

Monitoring 229

Monitoring Metrics DevOps Scalability 229

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

Adrian Cockcroft

FEBRUARY 13, 2023

Margaret leads the worldwide solution architect program for sustainability, and gives an excellent talk on how customers should think about optimizing their workloads. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA. SUS209 — there was no talk with this code.

AWS 64

AWS Energy Architecture Programming 64

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., Today, there are a variety of architectures and systems in use. Over time, that has evolved into something different.

Systems 74

Systems Monitoring Hardware Network 74

Tasktop

OCTOBER 20, 2020

federal government, IT and program leaders must find a better way to manage their software delivery organizations to improve decision-making where it matters. From AI to the cloud, to predictive analytics and innovative systems, there are few places that software isn’t impacting the government. Think Big, Start Small. Agile = Flow.

Government 105

Government Programming Metrics Software 105

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. Vendors ScaleGrid provides the flexibility to select a suitable database architecture, minimizing worries of vendor lock-in.

Database 130

Database Cloud Hardware Storage 130

ScaleOut Software

NOVEMBER 24, 2020

However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. This telematics architecture has evolved to handle ever increasing message rates (often reaching 2K messages per second), make up-to-the-minute information available to dispatchers, and feed offline analytics.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Percona

MARCH 30, 2023

This comprehensive overview examines open source database architecture, types, pros and cons, uses by industry, and how open source databases compare with proprietary databases. For example, an analytics application would work best with unstructured image files stored in a non-relational graph database.

Open Source 75

Open Source Database Storage Scalability 75

The Netflix TechBlog

JANUARY 11, 2022

To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham. Curious to learn more about other Data Science and Engineering functions at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

Dynatrace

MAY 15, 2020

Most of my discussions begin with an explanation of how the Dynatrace platform works, including our OneAgent technology that automatically instruments and discovers application and infrastructure environments, and results in the entity map or ‘Smartscape’. Today, security teams often employ SIEMs for log analytics.

Government 235

Government DevOps Infrastructure Network 235

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 129

Cloud Energy AWS Healthcare 129