Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 255

Development Serverless Best Practices Lambda 255

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

Database as a Service (DBaaS) providers are an alternative option that acts almost like going on a cruise ship: quick provisioning is facilitated by them, while scalability, support services, and flexibility benefit from pay-as-you-go models. They also come with some drawbacks—high costs and resources needed for successful management.

Database 130

Database Cloud Hardware Storage 130

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

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. Some disruption might occur, but it will be minimal. More in the following sub-section.)

Availability 109

Availability Database Open Source Hardware 109

Percona

AUGUST 22, 2023

We’ll also look at the differences, as it’s important to know what architecture(s) will help you best meet your unique requirements for maximizing data assets and achieving continuous uptime. High availability does not guarantee 100% uptime, but an HA system enables you to minimize downtime to the point you’re almost there.

Availability 80

Availability Hardware Open Source Database 80

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. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MAY 1, 2023

Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time. Identify data use cases and develop a scalable delivery model with documentation. Operations analytics ensures IT systems perform as expected.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

Dynatrace

JANUARY 16, 2023

As Kubernetes adoption increases and it continues to advance technologically, Kubernetes has emerged as the “operating system” of the cloud. Kubernetes is emerging as the “operating system” of the cloud. Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform.

Open Source 346

Open Source Java Operating System Programming 346

Scalegrid

JANUARY 8, 2024

Key Takeaways Multi-cloud involves using services from multiple cloud providers to gain flexibility and reduce vendor lock-in, while hybrid cloud combines private and public cloud resources to balance control and scalability. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

SEPTEMBER 30, 2021

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost. Inconsistent performance.

Cloud 169

Cloud Traffic Best Practices Strategy 169

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. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

KeyCDN

FEBRUARY 22, 2023

The goal of WebAssembly is to execute at native speeds by taking advantage of common hardware features available on a variety of platforms. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability. JavaScript frameworks JavaScript frameworks like React, Angular, and Vue.js

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

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.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests.

Lambda 183

Lambda AWS Serverless Hardware 183

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. Because it can touch many systems, chaos engineering can have broad implications, affecting groups and stakeholders across the organization.

Engineering 230

Engineering Entertainment Cloud Infrastructure 230

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post.

Latency 213

Latency Traffic Transportation Hardware 213

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. Without data backup mechanisms, there can be data loss or system downtime.

Database 90

Database Hardware Open Source Strategy 90

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

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

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Downtime due to SPOFs can also be attributed to bottlenecks from architectures designed for applications instead of databases. Despite all its upside, PostgreSQL software presents such challenges.

Availability 85

Availability Open Source Architecture Database 85

The Morning Paper

NOVEMBER 15, 2020

This stems from a combination of Jevon’s paradox and the interconnectedness of systems – doing more in one area often leads to a need for more elsewhere too. At the end of the day, there are three basic ways we can increase capacity: Increasing the number of units in a system (subject to Amdahl’s law ). IDS/IPS requirements.

Servers 128

Servers Hardware Latency Design 128

Percona

SEPTEMBER 1, 2023

Database architects working with MongoDB encounter specific challenges related to database systems and system growth. Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. 2) Hardware limitations Disk and memory are inexpensive nowadays.

Best Practices 73

Best Practices Traffic Database Hardware 73

Dynatrace

OCTOBER 22, 2019

This is why threads are often the source of scalability as well as performance issues. If your system is under high load, it can run into thread-locking issues that prevent upward linear scaling of your application. Use case #1: Identify scalability issues. Locking is the Achilles heel of any multi-threaded architecture.

Java 103

Java Scalability Hardware Architecture 103

Dynatrace

DECEMBER 20, 2019

You can stop reading this if you don’t know the terms AppMon, Agent Group, System Profile, or Transaction Flow. 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.

Infrastructure 134

Infrastructure Government Cloud Monitoring 134

Percona

DECEMBER 27, 2023

Another significant issue within security concerns is the escalating complexity of modern systems, especially in platforms like Kubernetes, which highlights the need for unified threat models and scanning tools to address vulnerabilities. Creating repositories for memory-safe patterns in cloud systems to improve overall security.

Cloud 81

Cloud Open Source Strategy Best Practices 81

All Things Distributed

MARCH 11, 2016

Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. Build evolvable systems. Systems need to keep running even if the “house is on fire.”

AWS 147

AWS Hardware Retail Virtualization 147

HammerDB

OCTOBER 12, 2018

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. System Setup: CPU, Memory and I/O Configuration. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

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

Dynatrace

JUNE 7, 2019

Scalability and load balancing. For detailed prerequisites, hardware requirements, and installation guidelines, see our help page for browser monitors in private locations. Q: Is there a plan to support more operating systems? Support for newer versions of these systems will be introduced as well.

Network 160

Network Monitoring Servers Hardware 160

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

All Things Distributed

JULY 20, 2015

Today, I want to explore the Amazon ECS architecture and what this architecture enables. To be robust and scalable, this key/value store needs to be distributed for durability and availability, to protect against network partitions or hardware failures. Let’s talk about what Amazon ECS is actually doing.

Latency 166

Latency Architecture AWS Open Source 166

All Things Distributed

MARCH 7, 2013

Werner Vogels weblog on building scalable and robust distributed systems. s fast and easy scalability can be quickly applied to building high scale applications. Shazam needed to handle an enormous increase in traffic for the duration of the Super Bowl and used DynamoDB as part of their architecture. Comments ().

Ecommerce 139

Ecommerce Storage Scalability Hardware 139

Testsigma

FEBRUARY 6, 2020

Examples of Dynamic Testing- Unit testing, System testing, Integration testing, Performance testing, Security testing. Test cases are created, then run on the system and the actual results are validated against the expected results. Defects are found and fixed, it is performed at later stages of the Software Lifecycle.

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

SQL Performance

AUGUST 27, 2019

This is the second generation EPYC server processor that uses the same Zen 2 architecture as the AMD Ryzen 3000 Series desktop processors. It will also use less power than a two-socket Intel server, with a lower hardware cost, and potentially lower licensing costs (for things like VMware). The price per QphH for this system is 0.34

Servers 52

Servers Benchmarking Virtualization Architecture 52

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. USENIX ATC is a top-tier venue with a broad range of systems research papers from both industry and academia.

Architecture 12

Architecture Hardware Cache Storage 12