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.

Cloud 158

Cloud Traffic Best Practices Strategy 158

Scalegrid

JANUARY 5, 2024

This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. Scalability and Flexibility Scalability in DBMS refers to the system’s capacity to expand and accommodate the growing data needs of an organization.

Efficiency 147

Efficiency Storage Database Scalability 147

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

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 104

Availability Database Open Source Hardware 104

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 85

Database Hardware Open Source Strategy 85

Percona

DECEMBER 27, 2023

According to a 2023 Forrester survey commissioned by Hashicorp , 61% of respondents had implemented, were expanding, or were upgrading their multi-cloud strategy. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy. We expect that number to rise higher in 2024.

Cloud 77

Cloud Open Source Strategy Best Practices 77

Percona

NOVEMBER 9, 2023

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. have adopted Kubernetes.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

Dynatrace

APRIL 5, 2021

This is where Lambda comes in: Developers can deploy programs with no concern for the underlying hardware, connecting to services in the broader ecosystem, creating APIs, preparing data, or sending push notifications directly in the cloud, to list just a few examples. How does AWS Lambda work? Optimizing Lambda for performance.

Lambda 173

Lambda AWS Serverless Hardware 173

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 ). Regular expression matching is well studied, but state of the art hardware algorithms don’t reach the performance and memory targets needed for Pigasus. Increasing the amount of work we can do on a single unit.

Servers 128

Servers Hardware Latency Design 128

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 71

Best Practices Traffic Database Servers 71

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. SOA architecture based on REST APIs. Edge caching.

Architecture 52

Architecture Cache Azure Storage 52

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. Download Now What is Amazon Aurora?

AWS 52

AWS Database Serverless Storage 52

KeyCDN

JANUARY 23, 2020

Developers use APM as part of a broader strategy to ensure certain goals are met while RUM is a more narrow tool to support that strategy. A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible.

Strategy 72

Strategy Metrics Monitoring Servers 72

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

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

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

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. In many organizations, front-end developers know exactly what common underlying problems are and what strategies should be used to fix them.

Performance 145

Performance Cache Media Metrics 145

Highly Scalable

AUGUST 20, 2013

Query processing could consist of multiple steps and each step could require its own partitioning strategy, so data shuffling is an operation frequently performed by distributed databases. This strategy is applicable for joining of a large relation with a small relation or two small relations.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 6, 2020

It might be tempting to get into quick "low-hanging-fruits"-optimizations early on — and it might be a good strategy for quick wins — but it will be very hard to keep performance a priority without planning and setting realistic, company-tailored performance goals. when web fonts aren’t loaded yet). Planning, planning, planning.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

It might be tempting to get into quick "low-hanging-fruits"-optimizations early on — and eventually it might be a good strategy for quick wins — but it will be very hard to keep performance a priority without planning and setting realistic, company-tailored performance goals. when web fonts aren’t loaded yet). Large preview ).

Performance 104

Performance Cache Metrics Network 104

Sutter's Mill

APRIL 14, 2011

The other two talks already announced are the following, which I previously reported last week : Andrei will be giving an in-depth talk on “BIG: C++ Strategies, Data Structures, and Algorithms Aimed at Scalability.”

C++ 40

C++ Programming Strategy Scalability 40