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

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily. Detailed performance analysis for better software architecture and resource allocation.

Metrics 170

Metrics Analytics Software Architecture Open Source 170

Dynatrace

APRIL 8, 2022

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Built-in resiliency ensures data completeness and consistency even if Fluentd or an endpoint service goes down temporarily. Detailed performance analysis for better software architecture and resource allocation.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Software Architecture

AUGUST 24, 2017

When all replicas respond success, then we are guaranteed that the data or partition that we just wrote is exact same copy on complete cluster. And, because the data is same on all 3 replicas, we are fully guaranteed that we are going to get most recent data. read request queries data from only 1 replica node.

Software Architecture 100

Software Architecture Architecture Availability Performance 100

Software Architecture

AUGUST 24, 2017

Source: [link] Cassandra has tunable consistency which means that not only on the database level, you can tune the immediate and eventual consistency of your data per query/operation by setting the read CL (consistency level) and write CL. W= number of nodes your data is written to. But, you are NOT getting a guarantee.

Tuning 100

Tuning Software Architecture Database C++ 100

Software Architecture

AUGUST 24, 2017

But when you’re running on multiple servers that can span multiple racks and multiple data centres, you can always run into issues where data on one server or data on one replica node is different from data on other replica node. So, Cassandra gives you a lot of control over how consistent your data is.

Software Architecture 100

Software Architecture Database Tuning Servers 100

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. The goal of monitoring is to enable data-driven decision-making. Where traditional methods struggle.

Infrastructure 194

Infrastructure Cloud Monitoring Metrics 194

Dynatrace

DECEMBER 8, 2021

These rapid changes — as well as the increasing volume and variety of data created — require a new approach to observability. Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments. Centralized applications.

Cloud 216

Cloud Serverless Hardware Operating System 216

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. The term "data scientist" was first used in the late 1990s. Patil called " Data Scientist: The Sexiest Job of the 21st Century." Vitruvius and the principles of architecture. Everyone who goes to architecture school learns his work.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

NOVEMBER 14, 2023

Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. Along the journey, monitored entities can be selected to provide the context to fetch the right data from Dynatrace Grail™.

Government 183

Government Best Practices DevOps Engineering 183

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. Dynatrace news. Azure Functions in a nutshell.

Serverless 228

Serverless Azure Monitoring Lambda 228

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. The goal of monitoring is to enable data-driven decision-making. Where traditional methods struggle.

Infrastructure 143

Infrastructure Cloud Monitoring Metrics 143

Strategic Tech

JUNE 2, 2021

Modernizing an architecture usually take years. Low Hanging Fruit vs Last Toothpaste in the Tube In the dream scenario, there is an area of the architecture which has a high value to the business when modernized and has little complexity. In the Architecture Modernization Sequencing Grid, this is the bottom right corner.

Architecture 52

Architecture Infrastructure Technology Technology 52

Percona

MARCH 21, 2023

Before getting into more details about Neon functionality, we need to introduce two important concepts Neon operates with: Tenants and Data Branches. In the context of databases, a tenant’s data can be logically separated from other tenants’ data in the same database so that each tenant can only access and manage their own data.

Serverless 123

Serverless Software Architecture Virtualization Database 123

Software Architecture

AUGUST 24, 2017

Memcached is in-memory key value store whereas Redis is in-memory data structures store. Memcached supports only string data type which is ideal for storing read-only data. Redis supports almost all types of data. Means that data might be lost in Memcached after a reboot of the server/machine.

Software Architecture 100

Software Architecture Traffic Efficiency Website 100

Strategic Tech

JANUARY 24, 2021

An example of a Domain Group A domain group is an internal service provider, exposing domain data and business process operations to experience-layer groups or other domain groups. Architecture Ownership Patterns for Team Topologies. Each subdomain is owned by a separate team.

Architecture 98

Architecture Mobile Infrastructure Cloud 98

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

Strategic Tech

JUNE 18, 2021

Other Types of Domains Here are some examples of other types of domain: Enterprise Architecture Domains : Business, Data, Architecture, and Technology Cynefin Domains : Obvious, Complicated, Complex, Chaotic, Disorder Levels of Scale The word domain can also be problematic when the level of scale is not easy to implicitly determine from the context.

Software Architecture 64

Software Architecture Architecture Strategy Technology 64

Dynatrace

MARCH 3, 2020

This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service . Here is a shortlist to get you started.

Performance 234

Performance Education Innovation Software Architecture 234

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. Dynatrace news. Azure Functions in a nutshell.

Serverless 139

Serverless Azure Monitoring Lambda 139

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

Dynatrace

DECEMBER 16, 2019

Democratizing data – monitoring-as-a-self-service for Biz, Dev and Ops. Cloud-native software architectures provide the ability for deployment options , like Blue/Green, Canary, Dark Launches, and Feature Flagging – and make them easier. A quick review of the sessions: How to transform into a NoOps organization.

DevOps 102

DevOps Software Software Best Practices 102

O'Reilly

MAY 19, 2020

A lot happened between January and the first week of March, when we got around to analyzing our survey data. Among non-adopters, culture seems to be the biggest impediment to cloud adoption: just under 5% of non-adopters cited an “organizational preference to keep data on premises” ( Figure 4 ). All told, we received 1,283 responses.

Cloud 141

Cloud Serverless AWS Architecture 141

Software Architecture

APRIL 8, 2018

operator some data inconsistency with regard to initialization Java interpolation Kotlin distinguishes between null (nullable references) and non null (non-null references) types. Type Inference Kotlin infers data types of variables and properties. e.g. data class Result(val result: Int, val status: Status) fun function(.):

Java 100

Java Lambda Software Architecture Programming 100

O'Reilly

OCTOBER 31, 2023

From Microservices to Monolith : While Microservices have dominated the discussion of software architecture, there have always been other voices arguing that microservices are too complex, and that monolithic applications are the way to go. Will we see a solution to prompt injection, data poisoning, model leakage, and other attacks?

Open Source 84

Open Source Google Software Architecture Technology 84

SQL Performance

JULY 8, 2021

I want to talk about UI design choices that lead to data access patterns that are awkward to implement using SQL Server. Every time we interact with software that displays a table, we can expect the columns to be sortable like this: Sort-By-Colunn is a great pattern when all the data can fit in the browser. Sort By Column.

Design 92

Design Software Architecture Database Servers 92

Apica

OCTOBER 17, 2022

A typical user journey would include all the actions in a typical human user’s session using a website or application – the screens they are presented with, what objects they click on, and what screens and data payloads are returned. Distracted by distributed, dynamic architectures. Metrics and observability data hoarding.

Retail 52

Retail Website Infrastructure Software Architecture 52

The Netflix TechBlog

MARCH 10, 2020

We had an interesting challenge on our hands: we needed to build the core of our app from scratch, but we also needed data that existed in many different systems. Existing data was crucial to the behavior and business logic of our application. Existing data was crucial to the behavior and business logic of our application.

Architecture 345

Architecture Transportation Java Strategy 345

Strategic Tech

APRIL 27, 2019

Layers start to emerge and as a result, shipping new customer-facing features require changes that cut through multiple layers of the architecture. Being aware of the patterns inherent to layered sociotechnical architectures can save you a lot of pain and politics in the long-term. As a consequence, we also have subservient teams?—?teams

Software Architecture 58

Software Architecture Architecture Government Design 58

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The chart packs in a lot of data. A quick summary reveals that sophisticated respondents—i.e.,

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Dynatrace

SEPTEMBER 16, 2019

You’ll be introduced to modern software architecture concepts, containers, feature flags, CI/CD pipeline tools, container orchestration tools, runbook automation tools and much more. What does an ACL look like? Once your application environment has been properly monitored, you can put it to good use.

Cloud 133

Cloud Education Monitoring Software Architecture 133

Strategic Tech

MAY 3, 2021

Mapping out your business’s domain landscape has many benefits: knowledge sharing, generating product ideas, providing the foundation for software architecture, aligning on requirements, but a common challenge is… “where do we start?” Then they give value to the companies in return, in the form of money or data.

Software Architecture 52

Software Architecture Architecture Design Software 52

O'Reilly

FEBRUARY 2, 2020

First, the behavior of an AI application depends on a model , which is built from source code and training data. A model isn’t source code, and it isn’t data; it’s an artifact built from the two. You need a repository for models and for the training data. Models almost certainly react to incoming data; that’s their point.

Software Architecture 70

Software Architecture Monitoring Software Engineering Architecture 70

O'Reilly

OCTOBER 31, 2019

Most of what we do on our computers—fancy graphics, email, databases, building websites, data analysis, digital signal processing—can’t be done with quantum computing. Data points: Recent research and analysis. The language, practices, and tools of cloud native architecture are prominent in Velocity Berlin proposals.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

Tasktop

DECEMBER 18, 2019

If you are not familiar with the functional programming or data storage concepts that come up, talk to one of your developers who do. These stories paint a very clear picture of how business leaders need to adapt by learning value stream thinking in order to survive and thrive in the Age of Software.

Software Architecture 45

Software Architecture Architecture Metrics Software 45

Strategic Tech

MAY 24, 2019

how to design software architectures and organise teams around them. Data Ownership For each piece of data a component depends on, is it the authority for that piece of data or just a consumer? Data Storage and Access Do different pieces of data need to be stored and queried in different ways?

Design 45

Design Software Architecture Strategy Technology 45