Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Manually maintaining dependencies among components doesn’t scale.

Cloud 260

Cloud Azure Analytics AWS 260

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

High Scalability

JANUARY 11, 2022

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. System Components. Component Design. Posting on Instagram. API Design. Data Models.

Design 334

Design Media Storage Logistics 334

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This includes zero-day vulnerabilities and software weaknesses that are not yet known and can be exploited without warning. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

ScaleOut Software

JANUARY 31, 2020

Real-time digital twins offer a compelling new software model for tracking and analyzing telemetry from large numbers of data sources. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Immutable infrastructure. The principles of cloud-native architecture.

Cloud 163

Cloud Architecture Serverless Infrastructure 163

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. The post Deploying Real-Time Digital Twins On Premises with ScaleOut StreamServer DT appeared first on ScaleOut Software.

IoT 52

IoT Azure Analytics Healthcare 52

ScaleOut Software

JANUARY 31, 2020

Real-time digital twins offer a compelling new software model for tracking and analyzing telemetry from large numbers of data sources. These query results are then forwarded to a data lake for offline analytics using tools such as Spark and for data visualization.

Analytics 52

Analytics Social Media Serverless Cloud 52

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. Database monitoring Once more, under Applications & Microservices, we’ll also find Databases.

Metrics 171

Metrics Monitoring Database Network 171

Dynatrace

SEPTEMBER 29, 2021

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. Amazon Elastic Kubernetes Service , Microsoft Azure Kubernetes Service , and Google Kubernetes Platform each offer their own managed Kubernetes service. How does advanced observability benefit Kubernetes and Docker Swarm?

Open Source 302

Open Source Traffic DevOps Cloud 302

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The answer to these challenges is a new software concept called the “ real-time digital twin.”

Logistics 52

Logistics Retail Analytics Azure 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

Scalegrid

JUNE 11, 2019

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Polyglot Persistence Trends : Number of Databases Used & Top Combinations.

Open Source 55

Open Source Database Cloud Infrastructure 55

Scalegrid

JANUARY 3, 2020

Monitoring your MySQL database performance in real-time helps you immediately identify problems and other factors that could be causing issues now or in the future. It’s also a good way to determine which components of the database can be enhanced or optimized to increase your efficiency and performance.

Monitoring 164

Monitoring Metrics Servers Database 164

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Faster and higher-quality software releases.

Monitoring 149

Monitoring Mobile Social Media Artificial Intelligence 149

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

Dotcom-Montior

OCTOBER 19, 2021

Golang, or Go, is an open-source programming language created by Google in 2009 that is used to create software programs. Configuration management tools allow a site reliability engineer to manage, track, control, and most importantly, automate various tasks, such as software upgrades and patches, security, user management, and much more.

Engineering 86

Engineering Open Source Programming Monitoring 86

ScaleOut Software

JUNE 22, 2020

Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation. The post The Amazing Evolution of In-Memory Computing appeared first on ScaleOut Software.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Harnessing the power of in-memory computing requires software platforms that can make in-memory computing’s scalability readily available to applications using APIs while hiding the complexity of its implementation.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. SELECT * FROM Azure Cosmos DB – Andrew Liu.

Engineering 40

Engineering Azure Best Practices Servers 40

Dotcom-Montior

FEBRUARY 19, 2022

Golang, or Go, is an open-source programming language created by Google in 2009 that is used to create software programs. Configuration management tools allow a site reliability engineer to manage, track, control, and most importantly, automate various tasks, such as software upgrades and patches, security, user management, and much more.

Engineering 52

Engineering Open Source Programming Monitoring 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. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

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. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

AUGUST 25, 2020

This blog post explains how a software application built with a new software construct called real-time digital twins makes this possible. In this post, we’ll take a closer look at its implementation in a demo application created by ScaleOut Software. Tracking Employees Using Real-Time Digital Twins.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 25, 2020

This blog post explains how a software application built with a new software construct called real-time digital twins makes this possible. In this post, we’ll take a closer look at its implementation in a demo application created by ScaleOut Software. Tracking Employees Using Real-Time Digital Twins.

Airlines 52

Airlines Mobile Analytics C++ 52

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support. The Need to Keep It Simple.

Cloud 40

Cloud Azure Virtualization Scalability 40

Tasktop

JUNE 20, 2019

That’s why the continued focus on connecting development to the business and all other stages of the software delivery value stream is absolutely crucial to any digital transformation. Tech giants like Microsoft, Amazon, and Google treat their entire software delivery toolchain like a product. Its toolchain.

Development 45

Development DevOps Google Innovation 45

SQL Server According to Bob

DECEMBER 18, 2018

Durability: “In database systems , durability is the ACID property which guarantees transactions that have committed will survive permanently. Microsoft SQL Server Database Engine Input/Output Requirements. Patrick and Purvi doing performance and regression analytics. Patrick and Purvi doing performance and regression analytics.

Servers 90

Servers Media Cache Storage 90

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

High Scalability

NOVEMBER 25, 2019

Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Automate schema management for some remaining databases. Cloud Platform.

Architecture 52

Architecture Cache Azure Storage 52