Dynatrace

JUNE 7, 2023

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” ” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. OpenShift Dedicated (OSD).

Open Source 209

Open Source Social Media Infrastructure Operating System 209

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Percona

DECEMBER 4, 2023

Release highlights include: Docker images are now available for x86_64 architectures. The percona-postgis33 and percona-pgaudit packages on YUM-based operating systems are renamed percona-postgis33_15 and percona-pgaudit15 respectively Download Percona Distribution for PostgreSQL 15.5 Percona XtraBackup 8.0.35-30

Open Source 77

Open Source Azure Servers Programming 77

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. The list goes on. The Limitations of Today’s Streaming Analytics.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. MaaSS for Cloud Architects: Deployment and Architecture Validations. Validate correct architecture, configuration and deployment by looking at Service Flow! Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway. REDIS for caching.

AWS 128

AWS Monitoring Ecommerce Lambda 128

High Scalability

APRIL 16, 2019

Thus, whenever a master MySQL goes down (whether due to a MySQL crash, OS crash, system reboot, etc.), This ensures that the system continues to be available to the applications. At ScaleGrid, we offer highly available hosting for MySQL on AWS and MySQL on Azure that is implemented based on the concepts explained in this blog series.

Availability 149

Availability Network Azure AWS 149

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store. This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores.

Logistics 52

Logistics Retail Analytics Azure 52

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. The architecture usually integrates several private, public, and on-premises infrastructures. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Dynatrace

APRIL 19, 2023

When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. Data is segmented and separated based on storage buckets.

Design 194

Design Storage Programming Analytics 194

Dynatrace

OCTOBER 6, 2023

Buckets are similar to folders, a physical storage location. Debug-level logs, which also generate high volumes and have a shorter lifespan or value period than other logs, could similarly benefit from dedicated storage. Suppose a single Grail environment is central storage for pre-production and production systems.

Artificial Intelligence 263

Artificial Intelligence Analytics Metrics Storage 263

Dynatrace

AUGUST 11, 2022

Cloud providers such as Google, Amazon Web Services, and Microsoft also followed suit with frameworks such as Google Cloud Functions , AWS Lambda , and Microsoft Azure Functions. FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions. But how does FaaS fit in?

Development 253

Development Serverless Best Practices Lambda 253

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. But, as resources move off premises, IT teams can lose visibility into system performance and security issues.

AWS 211

AWS Artificial Intelligence Analytics Cloud 211

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. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

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. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

Scalegrid

JANUARY 8, 2024

Like ScaleGrid’s offerings for multi-cloud architecture compatibility, its solutions are well-suited for use within a single cloud provider or a hybrid cloud setup as well. Firstly, let’s take a look at Spotify’s implementation of the multi-cloud approach before exploring Netflix’s adoption of a hybrid cloud architecture.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news. New to Dynatrace?

Serverless 190

Serverless Azure Lambda AWS 190

Tasktop

MARCH 16, 2021

roles to build a solution for just one product value stream, as well as laying the architectural foundations to scale across multiple value streams in your portfolio. Data Architect: Designs the data acquisition, storage and optimization to support. On average, you will need at least nine full-time(!) Step 2: Find Your Ingredients.

Metrics 52

Metrics Healthcare Automotive Innovation 52

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure 203

Infrastructure Storage Virtualization Network 203

Scalegrid

DECEMBER 6, 2023

Understanding this DBaaS system might take some adjusting too similar just how traveling on cruises has its tempo which requires us to get used to optimally benefit from what it provides. The great thing about this is that it provides companies with an unprecedented level of freedom when configuring their system.

Database 130

Database Cloud Hardware Storage 130

Tasktop

MARCH 16, 2021

roles to build a solution for just one product value stream, as well as laying the architectural foundations to scale across multiple value streams in your portfolio. Data Architect: Designs the data acquisition, storage and optimization to support. On average, you will need at least nine full-time(!) Step 2: Find Your Ingredients.

Metrics 40

Metrics Healthcare Automotive Innovation 40

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 228

Cloud Serverless Hardware Operating System 228

Dynatrace

NOVEMBER 29, 2021

It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. Microservices architecture combines loosely-coupled functions to create high-performing applications. OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Percona

DECEMBER 27, 2022

Encrypting data at rest in a database management system (DBMS) refers to securing data by encrypting it when it is not being used or accessed. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. This is often done to protect sensitive data from unauthorized access or theft. PostgreSQL.

Database 93

Database Storage Servers Strategy 93

High Scalability

JULY 20, 2018

That’s mapping applications to the specific architectural choices. The third wing of the architecture piece is the “domain specific system-on-chip.” tef : You can use a message broker to glue systems together, but never use one to cut systems apart. There are a few more quotes.

Internet 121

Internet Internet Scalability Automotive 121

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Unfortunately, other than cost advantage Wordpress and Drupal have similar deficiencies i.e. legacy monolith architecture.

Systems 63

Systems Cache Website Network 63

High Scalability

JUNE 15, 2018

1.6x : better deep learning cluster scheduling on k8s; 100,000 : Large-scale Diverse Driving Video Database; 3rd : reddit popularity in the US; 50% : increase in Neural Information Processing System papers, AI bubble? JoeEmison : Another thing that serverless architectures change: how do you software development. Hungry for more?

Internet 113

Internet Internet Scalability Blockchain 113

Percona

JULY 1, 2023

Multi-Availability Zone (AZ) Deployment Aurora’s Multi-Availability Zone (AZ) deployment offers remarkably high availability and fault tolerance by automatically replicating data across multiple availability zones using its distributed storage architecture to eliminate single points of failure. RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

KeyCDN

FEBRUARY 22, 2023

There are several popular cloud-based platforms for web development and deployment, such as AWS , Azure , and Google Cloud Platform. Each of these platforms offers a wide range of services and tools for web application development and deployment, including storage, databases, and serverless computing.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111