Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned!

Serverless 246

Serverless Azure Monitoring Lambda 246

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 278

Architecture Artificial Intelligence Cloud Open Source 278

Dynatrace

AUGUST 8, 2019

The IBM Z platform is a range of mainframe hardware solutions that are quite frequently used in large computing shops. Typically, these shops run the z/OS operating system, but more recently, it’s not uncommon to see the Z hardware running special versions of Linux distributions. Stay tuned for more announcements on this topic.

Availability 34

Availability Hardware Java Tuning 34

Dynatrace

APRIL 21, 2023

The agencies resisted adopting the tool because it required significant time to configure and tune collected metrics into valuable information. The obvious costs of tool sprawl can quickly add up, including licensing, support, maintenance, training, hardware, and often additional headcount. Register to listen to the webinar.

Government 239

Government Infrastructure Innovation Monitoring 239

Percona

DECEMBER 27, 2023

The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Keynotes were focused on how Kubernetes and Cloud Native help businesses embrace the new AI era. We expect that number to rise higher in 2024.

Cloud 113

Cloud Open Source Strategy Best Practices 113

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. With Azure Functions, engineers don’t have to worry about provisioning and maintaining underlying hardware; they simply upload their code, and it’s up and running seconds later. So stay tuned!

Serverless 217

Serverless Azure Monitoring Lambda 217

Dynatrace

MAY 1, 2020

This is especially the case with microservices and applications created around multiple tiers, where cheaper hardware alternatives play a significant role in the infrastructure footprint. We understand the dependencies between the mainframe, data center, and cloud, including all application components and even end-user experience.

Java 182

Java Hardware Metrics Tuning 182

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Cloud Different cloud providers offer a range of instance types and sizes, each with varying amounts of CPU, memory, and storage.

Performance 144

Performance Hardware Tuning Storage 144

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 280

Open Source Network Infrastructure Big Data 280

Dynatrace

OCTOBER 24, 2019

This centralized approach reduces your hardware imprint as well as configuration effort, making your work easier and more cost-effective. Stay tuned for more Synthetic Monitoring news, including: Credential vault support for HTTP monitors. New public Synthetic locations from already supported cloud vendors. What’s next?

Hardware 30

Hardware Monitoring Tuning Network 30

The Netflix TechBlog

NOVEMBER 9, 2021

AV1 playback on TV platforms relies on hardware solutions, which generally take longer to be deployed. Throughout 2020 the industry made impressive progress on AV1 hardware solutions. The Encoding Technologies team took a first stab at this problem by fine-tuning the encoding recipe. Stay tuned!

Media 246

Media Open Source Software Engineering Efficiency 246

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. This has led to a dramatic reduction in the time it takes to detect issues in hardware or bugs in recently rolled out data platform software.

Big Data 242

Big Data Infrastructure Metrics Games 242

Scalegrid

FEBRUARY 24, 2025

When configuring a RabbitMQ cluster, consider the availability zones and cloud regions to ensure high availability. With 24/7 expert support, ScaleGrid assists with troubleshooting, performance tuning, and migration processes. Each RabbitMQ node must be stopped before it can join an existing cluster.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

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. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 222

Latency Traffic Transportation Cloud 222

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?

AWS 135

AWS Hardware Storage Tuning 135

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

O'Reilly

MARCH 11, 2025

The same model will run in the cloud at a reasonable cost without specialized servers. These smaller distilled models can run on off-the-shelf hardware without expensive GPUs. And they can do useful work, particularly if fine-tuned for a specific application domain.

Artificial Intelligence 61

Artificial Intelligence Infrastructure Government Open Source 61

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Then we need to see IF implementing the tuning will work or not. It is possible to do more tuning in the case that ETL is too compromised.

Tuning 70

Tuning Virtualization Testing Servers 70

Percona

MAY 1, 2023

Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. What is PostgreSQL performance tuning? Why is PostgreSQL performance tuning important?

Tuning 52

Tuning Database Efficiency Performance 52

Alex Podelko

OCTOBER 20, 2016

– Cloud. Cloud seriously impacts system architectures that has a lot of performance-related consequences. To get full advantage of cloud, such cloud-specific features as auto-scaling should be implemented. System’s configuration is not given anymore and often can’t be easily mapped to hardware. – Agile.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

O'Reilly

SEPTEMBER 19, 2023

Cloud computing? Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And just as we started to complain that the crypto miners were snapping up all of the affordable GPU cards, cloud providers stepped up to offer access on-demand. Not that you’ll even need GPU access all that often.

Hardware 134

Hardware Storage Big Data Blockchain 134

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 111

Open Source Database Strategy Hardware 111

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.

Open Source 135

Open Source Google Artificial Intelligence Infrastructure 135

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

Brendan Gregg

SEPTEMBER 25, 2021

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. That chance encounter, coupled with the Netflix's fault-tolerant cloud, gave me enough confidence to suggest trying tsc in production as a workaround for the issue. But I'm not completely sure.

Speed 103

Speed Java AWS Virtualization 103

Brendan Gregg

SEPTEMBER 5, 2017

Linux has been adding tracing technologies over the years: kprobes (kernel dynamic tracing), uprobes (user-level dynamic tracing), tracepoints (static tracing), and perf_events (profiling and hardware counters). The way the cloud is used helps with security: most instances at my employer have only been up for one or two days.

Virtualization 75

Virtualization AWS Engineering Hardware 75

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error.

Performance 55

Performance Benchmarking Cache Storage 55

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. When code isn’t in use, the cloud providers typically throttle it all the way down.

Serverless 57

Serverless Monitoring Lambda Latency 57

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. It enables unbounded scalability as more commodity or specialized hardware can be seamlessly added to existing clusters. What message process warranty level do we require? At least once? At most once? Exactly once?

Architecture 80

Architecture Scalability Google Operating System 80

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly

JANUARY 16, 2024

I’ve been diligent about data backup throughout my life, but my files are fragmented amongst different media over the years—burning CDs and DVDs back in the day, several generations of external hard drives (that are in various states of decay), university servers, Dropbox, and other cloud services.

Internet 112

Internet Internet Entertainment Design 112

HammerDB

JANUARY 5, 2019

As the chart shows because we know that both HammerDB and the implementation of the TPC-C workload scales then we can determine that with this particular database engine both the software and hardware scales as well. If you only test your own application (and if you have more than one application which one will you use for benchmarking?)

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Adrian Cockcroft

NOVEMBER 13, 2023

This is basically the position of the major cloud providers, they will all take care of it for you by 2030 or so. I’ve written before about how to tune out retry storms. For an example of an unintended consequence, let’s say the result of your optimization project is spare capacity at a cloud provider.

Energy 52

Energy Cloud Traffic Transportation 52

Dotcom-Montior

OCTOBER 12, 2017

Both have an excellent customer base, are fully Cloud native solutions and root on a long-standing history. Verify hardware sizing. Make application tuning much easier. They simulate actual and future growth pattern on pre-production stages, identify and fix hotspots and deploy those tuned application into production.

AWS 40

AWS Monitoring Tuning Servers 40

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. The cloud-based service sends massive numbers of requests per second to simulate how your website holds up. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Percona

JANUARY 17, 2019

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. Multiple queries run at the same time will be using different threads and will utilize more than one CPU core. With faster disks (i.e. AWS Aurora (based on MySQL 5.6)

Cache 72

Cache C++ AWS Airlines 72

Brendan Gregg

SEPTEMBER 25, 2021

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. That chance encounter, coupled with the Netflix's fault-tolerant cloud, gave me enough confidence to suggest trying tsc in production as a workaround for the issue. But I'm not completely sure.

Speed 40

Speed Java AWS Virtualization 40