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. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. This includes being able to select the right hardware options for the job, enforcing desired safety measures, and having access to a variety of database software.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

MAY 1, 2023

In addition to improved IT operational efficiency at a lower cost, ITOA also enhances digital experience monitoring for increased customer engagement and satisfaction. Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time.

Analytics 181

Analytics Artificial Intelligence Big Data Open Source 181

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. It also supports the flexibility and scalability of the database infrastructure.

Availability 111

Availability Database Open Source Hardware 111

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 160

Cloud Traffic Best Practices Strategy 160

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. About application transparency.

Latency 52

Latency Hardware Cache Architecture 52

Percona

JUNE 30, 2023

Kubernetes provides many benefits, such as automation and scalability, but it also introduces new complexities when it comes to managing databases. IT teams must ensure high availability, scalability, and security, all while ensuring that their PostgreSQL clusters perform optimally. What is better in version 2 compared to version 1?

Availability 97

Availability Open Source Azure Hardware 97

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? How does AWS Lambda work?

Lambda 175

Lambda AWS Serverless Hardware 175

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. It makes experiments repeatable and scalable so teams can apply them to future experiments of the same or larger stacks. Dynatrace news.

Engineering 218

Engineering Entertainment Cloud Infrastructure 218

Dynatrace

OCTOBER 28, 2020

This enables organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. There’s a more efficient way with Dynatrace. You can’t keep pace by simply upgrading to the latest hardware and updating to the latest software releases twice a year.

Monitoring 144

Monitoring Systems Infrastructure Cloud 144

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. Vertical scaling is also often discussed, which involves increasing the resources of a single server, which can have limitations in hardware capabilities and become costly as demands grow.

Best Practices 75

Best Practices Traffic Database Servers 75

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 82

Cloud Open Source Strategy Best Practices 82

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). FPGAs are chosen because they are both energy efficient and available on SmartNICs). The FPGA hardware really wants to operate in a highly parallel mode using fixed size data structures.

Servers 128

Servers Hardware Latency Design 128

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. They introduced the architecture of coarse grain reconfigurable array (CGRA) for statically scheduled data flow computing in HOTCHIPS’17 and its software stack of compiler and linker in ICCAD’17. TFLOPS FP-64, 14.8

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 91

Database Hardware Open Source Strategy 91

Dynatrace

DECEMBER 20, 2019

There’s a more efficient way with Dynatrace! From mainframe to mobile, Dynatrace has the broadest technology coverage, including supported languages, application architectures, cloud, on-premise or hybrid, enterprise apps, SaaS monitoring, and more. Stop searching, find answers.

Infrastructure 133

Infrastructure Government Cloud Monitoring 133

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. When we think of a system’s architecture, the first thing that may pop into your mind is the traditional client-server system, where a server was the shared resource among many different devices and machines, like printers, computes, clients, etc. Scalability. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

The Morning Paper

JUNE 25, 2019

Therefore, if we want to make full use of one-sided far memory, we need to think carefully about the design of our data structures to make that access efficient. This paper is all about the design of efficient data structures for far-memory, which turns out to have consequences reaching all the way down to the hardware.

Design 80

Design Cache Hardware Scalability 80

Testsigma

FEBRUARY 6, 2020

However, Non-Functional testing is equally important as Functional testing is obviously, no one will want to use an application which is not scalable or secure, or let’s say can’t handle a load of many DB operations at an instance. If the application degrades under load, then changes in the architecture could be made to avoid such bottleneck.

Software 69

Software Software Testing Scalability 69

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, At least once?

Architecture 80

Architecture Scalability Google Operating System 80

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. All Things Distributed.

AWS 118

AWS Hardware Traffic Best Practices 118

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Some of these will serve large urban areas and will be sensitive to efficiency.

Hardware 56

Hardware Latency Virtualization Cloud 56

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

Highly Scalable

APRIL 2, 2012

From the business logic point of view, this was a pretty typical eCommerce service for hierarchical and faceted navigation, although not without peculiarities, but high performance requirements led us to the quite advanced architecture and technical design. Deployment Schema and High-Level Architecture.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Percona

AUGUST 15, 2023

Advantages There are many advantages of MySQL replication, but a few highlights include the enhancement of scalability by allowing read-intensive workloads to be distributed across multiple replicas, offloading a primary database server, and improving overall performance. Below is an example architecture for Group Replication.

Servers 52

Servers Database Availability Traffic 52

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Some of these will serve large urban areas and will be sensitive to efficiency.

Hardware 40

Hardware Latency Virtualization Cloud 40

Highly Scalable

AUGUST 20, 2013

The engine should be compact and efficient, so one can deploy it in multiple datacenters on small clusters. Thus, on a conceptual level, an efficient query engine in a distributed database can act as a stream processing system and vice versa, a stream processing system can act as a distributed database query engine. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

DECEMBER 23, 2020

This abstraction allows the compute team to influence the reliability, efficiency, and operability of the fleet via the scheduler. Titus internally employs a cellular bulkhead architecture for scalability, so the fleet is composed of multiple cells. We do this for reliability, scalability, and efficiency reasons.

Media 286

Media Metrics Systems Processing 286

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

Sutter's Mill

APRIL 14, 2011

As Bjarne put it : “Surprisingly, C++0x feels like a new language: The pieces just fit together better than they used to and I find a higher-level style of programming more natural than before and as efficient as ever.” ” This talk will show why — deeply, madly, and truly.

C++ 40

C++ Programming Strategy Scalability 40

High Scalability

OCTOBER 24, 2022

Each cloud-native evolution is about using the hardware more efficiently. You can even go old school and use non cloud-native architectures. There's a huge short-term and long-term efficiency of services that depends on the successful coordination of cloud services and infrastructure. It has been done. I don't think so.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Amazon Redshift) and Elasticsearch machines. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167