Scalegrid

DECEMBER 6, 2023

The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs. Database as a Service (DBaaS) and managed databases offer distinct advantages along with certain challenges.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 192

Architecture DevOps Monitoring Programming 192

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

DECEMBER 18, 2020

App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. There are no hosts, no backend, no database – just HTML, CSS, and JavaScript. Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions.

Analytics 135

Analytics Metrics IoT Monitoring 135

Dynatrace

JANUARY 31, 2024

The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. Notebooks and dashboards enable users, including developers, to create data-driven documents for custom analytics.

Java 185

Java Analytics Best Practices Monitoring 185

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Percona

MARCH 30, 2023

The use of open source databases has increased steadily in recent years. Past trepidation — about perceived vulnerabilities and performance issues — has faded as decision makers realize what an “open source database” really is and what it offers. What is an open source database?

Open Source 77

Open Source Database Storage Scalability 77

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. Research has found that 99% of organizations have embraced a multicloud architecture.

DevOps 180

DevOps Analytics Storage Metrics 180

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Further, these resources support countless Kubernetes clusters and Java-based architectures. where an error occurred at the code level.

Analytics 217

Analytics Storage Infrastructure Metrics 217

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

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 168

Cloud Ecommerce Performance Retail 168

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 201

Cache Azure Infrastructure Monitoring 201

The Netflix TechBlog

JANUARY 25, 2023

All data should be also available for offline analytics in Hive/Iceberg. A data model in Marken can be described using schema — just like how we create schemas for database tables etc. The databases we pick should be able to scale horizontally. Besides applications we will have ML algorithm data stored.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 258

Cloud Azure Analytics AWS 258

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

FEBRUARY 12, 2024

The new observability app for databases from Dynatrace was built to cater to all requirements of database administrators (DBAs), from swiftly assessing database availability and performance to delving into architectural intricacies for efficient troubleshooting.

Engineering 179

Engineering Development Infrastructure Cloud 179

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

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 183

Cloud DevOps Open Source Retail 183

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

High Scalability

JANUARY 11, 2022

Architecture. 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. Sending and receiving messages from other users. High Level Design.

Design 334

Design Media Storage Logistics 334

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

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 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

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. Reduce the volume of data volumes requested from databases (for example, request all, filter in memory). Is the solution to just move all workloads to the cloud?

Cloud 205

Cloud Energy Best Practices Cache 205

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Everyone who goes to architecture school learns his work. It must be beautiful, like Venus, inspiring love.

Strategy 100

Strategy Architecture Technology Technology 100

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

Percona

AUGUST 17, 2023

PostgreSQL is open source relational database management software. It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ).

Open Source 80

Open Source Healthcare Social Media Database 80

Percona

JUNE 23, 2023

Both MySQL and PostgreSQL do the basics very well From a high level, one relational database management system is pretty much like every other relational database management system. It does not follow the SQL Standard as closely as other databases, and some useful functions such as MERGE() are missing.

Database 121

Database Transportation Servers Cloud 121

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. The popularity of MongoDB MongoDB has emerged as a popular database platform. 5 among all database management systems and No. It ranks No.

Open Source 77

Open Source Database Scalability Software 77

ScaleOut Software

NOVEMBER 24, 2020

However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. Every few seconds, the application servers collect batches of snapshots and write them to the database where they can be queried by dispatchers managing the fleet. Challenges for Current Architectures.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Dynatrace

APRIL 5, 2021

Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples. The growth of Azure cloud computing. How Azure Functions works.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Effortlessly optimize Azure database performance.

Azure 146

Azure Cloud Big Data Virtualization 146

HammerDB

NOVEMBER 30, 2018

However if you have downloaded the source code and are looking to add features or make modifications such as adding new databases you may be wondering once you have the source code where to start. However HammerDB will not be able to connect to a database yet and the librarycheck command included with the CLI gives an indication why.

Architecture 40

Architecture Virtualization Open Source C++ 40