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. The underlying software architecture that supports all this data must be secure, as well. API access management.

Design 181

Design Storage Programming Analytics 181

Dynatrace

APRIL 13, 2023

Let’s explore how a log auditing and log forensics program can benefit from the convergence of observability and security data. Log auditing is a crucial part of building a comprehensive security program. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes.

Analytics 175

Analytics Java Infrastructure Cloud 175

Dynatrace

JULY 18, 2022

OpenTelemetry provides a set of vendor-agnostic application program interfaces (APIs) to create a common way to instrument applications and collect data from logs and traces across a wide variety of frameworks and languages. Development teams like to use their favorite tools, but instrumenting every single one can quickly become impractical.

Artificial Intelligence 182

Artificial Intelligence Open Source Analytics Monitoring 182

Dynatrace

NOVEMBER 4, 2022

A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. Distributed architectures create another challenge for governments and public-sector organizations. A lack of visibility into cloud environments .

Government 147

Government Analytics Cloud Storage 147

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. Both can result in lost productivity for IT teams and staff in the field.

Government 192

Government Infrastructure Programming Cloud 192

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

JUNE 15, 2023

The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. It also entails secure development practices, security monitoring and logging, compliance and governance, and incident response.

Cloud 168

Cloud Open Source Architecture Monitoring 168

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 176

Cloud DevOps Open Source Retail 176

Dynatrace

NOVEMBER 28, 2022

Today, application modernization efforts are centered on application programming interfaces and microservices that are sensitive to startup latency. Simplify error analytics. Understand and optimize your architecture. This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 214

Lambda AWS Serverless Latency 214

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. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume.

Retail 226

Retail Storage Best Practices Architecture 226

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

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. PHP is widely used in web development by prominent social media companies, content management systems, and video teleconferencing brands. Dynatrace news. It ranks eighth in terms of GitHub pull requests statistics.

Social Media 176

Social Media Open Source Media Cloud 176

Dynatrace

NOVEMBER 22, 2022

They also need a way to track all the services running on their distributed architectures, from multicloud environments to the edge. Ideally, teams need the ability to anticipate problems and fix conditions before an issue develops. SLOs enable ITOps teams to detect problems as they’re developing before they result in an outage.

Infrastructure 173

Infrastructure Availability Systems Retail 173

Strategic Tech

FEBRUARY 19, 2020

I’ve been disappointed for a long time with the way in which companies organise software development teams. 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. to invest most of our effort in our core domains.

Architecture 64

Architecture Strategy Design Software Architecture 64

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

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

The Netflix TechBlog

JANUARY 25, 2023

All data should be also available for offline analytics in Hive/Iceberg. Base schemas Just like in Object Oriented Programming, our schema service allows schemas to be inherited from each other. Marken architecture Above picture represents the block diagram of the architecture for our service.

Scalability 283

Scalability Latency Media Architecture 283

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Because IMDGs have complex internal mechanisms, they need to automate them as much as possible so that the developer can just focus on application concerns and not on the inner workings of the IMDG. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Because IMDGs have complex internal mechanisms, they need to automate them as much as possible so that the developer can just focus on application concerns and not on the inner workings of the IMDG. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. Real-time digital twins are designed to be easy to develop and modify.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

Simplifying the Development Process with Mock Environments. This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. Real-time digital twins are designed to be easy to develop and modify.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

MAY 6, 2020

Writing applications for streaming analytics can be complex and time consuming. Developers need to write code that extracts patterns out of an incoming telemetry stream and take appropriate action. Existing programming models make it too difficult to perform meaningful analysis in real time. Summing Up.

Development 52

Development Analytics Database Programming 52

ScaleOut Software

MAY 6, 2020

Writing applications for streaming analytics can be complex and time consuming. Developers need to write code that extracts patterns out of an incoming telemetry stream and take appropriate action. Existing programming models make it too difficult to perform meaningful analysis in real time. Summing Up.

Development 52

Development Analytics Database Programming 52

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. Developing automation takes time. How organizations benefit from automating IT practices.

Artificial Intelligence 178

Artificial Intelligence Tuning Strategy Big Data 178

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

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

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.

Government 105

Government Programming Metrics Software 105

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 159

Traffic Open Source Servers Cloud 159

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

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

Dynatrace

APRIL 5, 2021

While AWS and Azure promote the same capabilities — and perhaps a similar ultimate vision — their architectures are not equivalent. The platform automatically manages all the computing resources required in those processes, freeing up DevOps teams to focus on developing and delivering features and functions. How Azure Functions works.

Azure 135

Azure Serverless IoT Lambda 135

ScaleOut Software

JANUARY 28, 2021

Conventional, enterprise data architectures take months to develop and are complex to change. The power of this approach lies in its ability to simplify the problem for application developers. Real-time digital twins are both easy to develop and easy to change as needs evolve.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

HammerDB

NOVEMBER 30, 2018

HammerDB is open source and all of the source code is available at the sourceforge Git development site here [link] or the github mirror here [link]. This guide to HammerDB concepts and architectures is aimed at helping you understand how HammerDB is built and how it can be extended and modified. Programming Languages.

Architecture 40

Architecture Virtualization Open Source C++ 40

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

Tasktop

JUNE 20, 2019

But here’s the rub: Agile development teams do not work in isolation. And why, in lieu of a single tool or process, organizations need to identify and eliminate long cycles and wait times within development itself, and beyond. The disconnect between the business and Agile development. Its toolchain. So, what can you do?

Development 45

Development DevOps Google Innovation 45