Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

Serverless 325

Serverless AWS Lambda Storage 325

DZone

JANUARY 23, 2022

Hardware - servers/storage hardware/software faults such as disk failure, disk full, other hardware failures, servers running out of allocated resources, server software behaving abnormally, intra DC network connectivity issues, etc. Redundancy in power, network, cooling systems, and possibly everything else relevant.

Hardware 243

Hardware DevOps Network Storage 243

Dynatrace

SEPTEMBER 15, 2020

Dynatrace can help customers monitor, troubleshoot, and optimize application performance for workloads operating on AWS Outposts, in AWS Regions, and on customer-owned hardware for a truly consistent hybrid experience.”. Joshua Burgin, General Manager, AWS Outposts, Amazon Web Services, Inc. What is AWS Outposts?

AWS 275

AWS Design Cloud Storage 275

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 144

Performance Hardware Tuning Storage 144

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 279

Development Serverless Best Practices Lambda 279

Dynatrace

JUNE 25, 2020

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. – A Dynatrace customer, Head of Performance Engineering. Save on costs for hardware and network bandwidth to optimize total cost of ownership. A similar analysis can be performed on your GRO.

Availability 264

Availability Hardware Latency Traffic 264

Dynatrace

DECEMBER 8, 2021

As the entire application shares the same computing environment, it collects all logs in the same location, and developers can gain insight from a single storage area. Another aspect of microservices is how the service itself relates to the underlying hardware. 5 challenges to achieving observability at scale. Read eBook now!

Cloud 246

Cloud Serverless Hardware Operating System 246

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. The primary goal of ITOps is to provide a high-performing, consistent IT environment. Performance. What does IT operations do?

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

DZone

JANUARY 20, 2023

It has been a norm to perceive that distributed databases use the method of adding cheap PC(s) to achieve scalability (storage and computing) and attempt to store data once and for all on demand. However, doing the same cannot achieve equivalent scalability without massively sacrificing query performance on graph systems.

Scalability 210

Scalability Big Data Hardware Internet 210

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) But the ephemeral storage service for intermediate data is not based on S3.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

NOVEMBER 11, 2020

Deployment performs the whole rollout, instrumentation, configuration, connection, and automatic detection of monitored entities in your environment. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Advanced customization of OneAgent deployments made easy.

Best Practices 246

Best Practices Storage Java Benchmarking 246

Scalegrid

FEBRUARY 24, 2025

Scaling RabbitMQ ensures your system can handle growing traffic and maintain high performance. Optimizing RabbitMQ performance through strategies such as keeping queues short, enabling lazy queues, and monitoring health checks is essential for maintaining system efficiency and effectively managing high traffic loads.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 114

Storage Engineering Database Open Source 114

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

Performance 121

Performance Latency Hardware Storage 121

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” Many shows have needs that exceed 100,000 frames, so aggregate rendering time can impact the timely delivery of a show on Netflix.

Cloud 291

Cloud Entertainment AWS Infrastructure 291

VoltDB

DECEMBER 11, 2024

Use hardware-based encryption and ensure regular over-the-air updates to maintain device security. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. Key issues include: Limited storage capacity on edge devices.

IoT 52

IoT Energy Logistics Latency 52

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. The report also reveals the leading programming languages practitioners use for application workloads.

Open Source 358

Open Source Java Operating System Programming 358

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " High performance. SoCC’19. "Narrowing Introducing Shredder.

Serverless 99

Serverless Storage Latency Cloud 99

DZone

AUGUST 14, 2019

Network agility is represented by the volume of change in the network over a period of time and is defined as the capability for software and hardware component’s to automatically configure and control itself in a complex networking ecosystem. Organizations are in search of improving network agility, but what exactly does this mean?

Network 191

Network Innovation Hardware DevOps 191

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 136

Performance Monitoring Traffic Database 136

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. A producer creates the message, and a consumer processes it.

Monitoring 246

Monitoring Programming Serverless Speed 246

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. A producer creates the message, and a consumer processes it.

Monitoring 246

Monitoring Programming Serverless Speed 246

Dynatrace

AUGUST 5, 2019

With Dynatrace, we follow a combination of agent and agent-less approach where the “secret sauce” lies in our Dynatrace OneAgent (watch my Performance Clinic YouTube tutorial with our Chief Software Architect Helmut Spiegl ). What’s the current performance of key database queries and stored procedures? Which Database to migrate?

Cloud 38

Cloud Traffic Database Network 38

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health. Optimized system performance. Increased collaboration.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

MARCH 23, 2020

A decade ago, while working for a large hosting provider, I led a team that was thrown into turmoil over the purchasing of server and storage hardware in preparation for a multi-million dollar super-bowl ad campaign. I gave an early glimpse of the Google integration last month at our annual Perform user conference in Las Vegas.

Google 269

Google Engineering Metrics Hardware 269

All Things Distributed

OCTOBER 8, 2014

The best part is that we are also significantly expanding the free tier many of you already enjoy by increasing the storage to 25 GB and throughput to 200 million requests per month. More than a decade ago, Amazon embarked on a mission to build a distributed system that challenged conventional methods of data storage and querying.

Availability 122

Availability Performance Scalability AWS 122

Percona

MAY 1, 2023

Default settings can help you get started quickly – but they can also cost you performance and a higher cloud bill at the end of the month. I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. Want to save money on your AWS RDS bill? IOPs) required by MySQL.

AWS 135

AWS Hardware Storage Tuning 135

DZone

MARCH 20, 2024

Embedded within the Linux kernel, KVM empowers the creation of VMs with their virtualized hardware components, such as CPUs, memory, storage, and network cards, essentially mimicking a machine. KVM functions as a type 1 hypervisor, delivering performance similar to hardware—an edge over type 2 hypervisors.

Virtualization 124

Virtualization Hardware Open Source Storage 124

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance.

Virtualization 110

Virtualization AWS Hardware Storage 110

All Things Distributed

SEPTEMBER 20, 2013

Not everybody agreed that the "N-ary Storage Model" (NSM) was the best approach for all workloads but it stayed dominant until hardware constraints, especially on caches, forced the community to revisit some of the alternatives. Many of the modern high-performance data warehouses such as Amazon Redshift are based on column stores.

Storage 71

Storage Hardware Cache C++ 71

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.

Storage 64

Storage Systems Hardware Efficiency 64

Tim Kadlec

JANUARY 9, 2019

One question I’ve seen posed a few times in the past several months is whether performance really is a moral or ethical concern, or if that’s all heavy-handed exaggeration. When you stop to consider all the implications of poor performance, it’s hard not to come to the conclusion that poor performance is an ethical issue.

Performance 111

Performance Energy Internet Internet 111

High Scalability

SEPTEMBER 14, 2018

NSF : When the HL-LHC reaches full capability in 2026, it is expected to produce more than 1 billion particle collisions every second, marking a 10-fold increase that will require a similar 10-fold increase in data processing and storage, including tools to collect, analyze, and record the most relevant events. Feedback & Scoring, 2.

Internet 30

Internet Internet Scalability Education 30

Alex Russell

MARCH 6, 2021

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Poor performance has a compound effect on user expectations at an ecosystem level. Live by the link, die by the link.

Performance 127

Performance Network Mobile Metrics 127

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. This is a given, whether you are using the highest quality hardware or lowest cost components.

AWS 126

AWS Hardware Retail Virtualization 126

Percona

NOVEMBER 2, 2023

Q3: What performance issues, if any, does Kubernetes introduce? Kubernetes performance is heavily influenced by the underlying hardware. Running a database on a Kubernetes cluster should deliver similar performance, with less than a 1% difference when compared to running it on standalone hardware.

Open Source 107

Open Source Hardware Storage Database 107

High Scalability

NOVEMBER 14, 2018

New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime.

Design 54

Design Education Google Internet 54