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. It uses standardized application program interfaces that a wide variety of vendors and user organizations can support.

Artificial Intelligence 198

Artificial Intelligence Open Source Analytics Monitoring 198

Dynatrace

FEBRUARY 15, 2023

Further, developers can build more agility into their processes with an intuitive, low-code approach to create custom, compliant, and intelligent data-driven apps and automation. Additionally, its modern architecture delivers cost-effective storage and compute. Indeed, according to one report, more than 50% of U.S.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

NOVEMBER 28, 2022

Today, application modernization efforts are centered on application programming interfaces and microservices that are sensitive to startup latency. For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies.

Lambda 229

Lambda AWS Serverless Latency 229

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 192

Cloud DevOps Open Source Retail 192

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 209

Government Infrastructure Programming Cloud 209

Dynatrace

JUNE 15, 2023

Cloud application security practices enable organizations to follow secure coding practices, monitor and log activities for detection and response, comply with regulations, and develop incident response plans. It also entails secure development practices, security monitoring and logging, compliance and governance, and incident response.

Cloud 182

Cloud Open Source Architecture Monitoring 182

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Enhanced code-level visibility. Dynatrace provided invaluable code-level visibility into issues, leading to faster MTTR. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model.

Retail 242

Retail Storage Best Practices Architecture 242

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. Lack of context —most vulnerability scanners don’t provide runtime context and key information like whether vulnerable code is used at runtime. Dynatrace news. How to get started.

Social Media 192

Social Media Open Source Media Cloud 192

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

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

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

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

Dynatrace

JULY 6, 2022

IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. What is IT automation?

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

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

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

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

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 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

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 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 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

DECEMBER 10, 2019

Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Borrowed from its usage in product life-cycle management and simulation, a digital twin provides an object-oriented container for hosting application code and data. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics.

Code 52

Code Analytics Healthcare IoT 52

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Dynatrace news. What is Azure Functions? How Azure Functions works.

Azure 138

Azure Serverless IoT Lambda 138

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

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

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. SUS209 — there was no talk with this code. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA.

AWS 64

AWS Energy Architecture Programming 64

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]. In fact all of this source code is also included in readable form with each and every release. Programming Languages. Otherwise the code is the same on all platforms.

Architecture 40

Architecture Virtualization Open Source C++ 40

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 170

Traffic Open Source Servers Cloud 170

Smashing Magazine

JULY 12, 2021

However, this simplicity leaves the door open for many potential issues and technical debt — bloated code, specificity hell, duplicated code blocks with very little to no difference, leftover unused selectors, unnecessary hacks, and workarounds, to name a few. Leftover, unused chunks of code from deleted features.

Best Practices 145

Best Practices Website Architecture Media 145

ScaleOut Software

JANUARY 28, 2021

Conventional, enterprise data architectures take months to develop and are complex to change. It encapsulates code that just focuses on analyzing messages from a single data source as they flow in, and it maintains an up-to-the second assessment of the data source’s status.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

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

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

Dynatrace

MAY 15, 2020

How to assess an environment’s security posture, risk and threat profile, and possible attack vectors, where perhaps you didn’t code the application or build the infrastructure, and where new code is deployed frequently, and the infrastructure is constantly changing? Today, security teams often employ SIEMs for log analytics.

Government 231

Government DevOps Infrastructure Network 231

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