Dynatrace

APRIL 21, 2023

In the recent webinar, Good to great: Case studies in excellence on state and local government transformations, Tammy Zbojniewicz, enterprise monitoring and service delivery owner within Michigan’s Department of Technology, Management, and Budget (DTMB), illustrates that meeting both objectives is possible.

Government 239

Government Infrastructure Innovation Monitoring 239

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. To evaluate decoder capabilities on these devices, the Encoding Technologies team crafted a set of special certification streams. Stay tuned!

Media 246

Media Open Source Software Engineering Efficiency 246

Scalegrid

JULY 13, 2020

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. You can compare all of their license costs in their Oracle Technology Global Price List. Oracle support for hardware and software packages is typically available at 22% of their licensing fees. Compare Ease of Use.

Open Source 244

Open Source Tuning C++ Database 244

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

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, there can be drawbacks to using too many different languages and technologies.

Architecture 278

Architecture Artificial Intelligence Cloud Open Source 278

Dynatrace

AUGUST 12, 2020

This lack of visibility creates blind spots and makes it difficult to ensure the health of applications running on serverless technologies. 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. Stay tuned for more announcements on this topic. Stay tuned for more details. Host performance measures. Feedback or comments?

Java 182

Java Hardware Metrics Tuning 182

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Logs can include data about user inputs, system processes, and hardware states. Dynatrace news. billion in 2020 to $4.1 Optimized system performance.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. Machine learning is one such transformational technology that is top of mind not only for CIOs and CEOs, but also developers and data scientists. Post-training model tuning and rich states.

Scalability 129

Scalability Hardware AWS Tuning 129

The Morning Paper

NOVEMBER 3, 2019

Perhaps the most interesting lesson/reminder is this: it takes a lot of effort to tune a Linux kernel. Google’s data center kernel is carefully performance tuned for their workloads. On the exact same hardware, the benchmark suite is then used to test 36 Linux release versions from 3.0 Headline results.

Performance 108

Performance Benchmarking Tuning Hardware 108

O'Reilly

MARCH 11, 2025

The surprise wasnt so much that DeepSeek managed to build a good modelalthough, at least in the United States, many technologists havent taken seriously the abilities of Chinas technology sectorbut the estimate that the training cost for R1 was only about $5 million. Thats roughly 1/10th what it cost to train OpenAIs most recent models.

Artificial Intelligence 63

Artificial Intelligence Infrastructure Government Open Source 63

All Things Distributed

NOVEMBER 30, 2016

We also have a great deal of machine learning technology that can benefit machine scientists and developers working outside Amazon. Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. Amazon Lex. Amazon Polly.

AWS 153

AWS Lambda Artificial Intelligence Mobile 153

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

All Things Distributed

MARCH 7, 2013

This allows us to tune both our hardware and our software to ensure that the end-to-end service is both cost-efficient and highly performant. ve been working hard over the past year to improve storage density and bring down the costs of our underlying hardware platform.

Ecommerce 121

Ecommerce Storage Scalability Database 121

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. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 113

Cloud Open Source Strategy Best Practices 113

O'Reilly

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. Executive Summary We’ve never seen a technology adopted as fast as generative AI—it’s hard to believe that ChatGPT is barely a year old. When 26% of a survey’s respondents have been working with a technology for under a year, that’s an important sign of momentum.

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137

O'Reilly

SEPTEMBER 19, 2023

” That came to mind when a friend raised a point about emerging technology’s fractal nature. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. Cloud computing?

Hardware 135

Hardware Storage Big Data Blockchain 135

Alex Podelko

OCTOBER 20, 2016

– New Technologies. System’s configuration is not given anymore and often can’t be easily mapped to hardware. It would be published as separate posts: – Introduction (a short teaser). – Cloud. – Agile. – Continuous Integration. New Architectures (this post).

Performance Testing 100

Performance Testing Architecture Testing Performance 100

All Things Distributed

OCTOBER 8, 2014

We built DynamoDB as a fully-managed service because we wanted to enable our customers, both internal and external, to focus on their application rather than being distracted by undifferentiated heavy lifting like dealing with hardware and software maintenance. Take a look at the application here: [link].

Availability 124

Availability Performance Scalability AWS 124

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 Hardware Strategy 111

The Morning Paper

MAY 21, 2019

Using zswap means that no new hardware solutions are required, enabling rapid deployment across clusters. …quick deployment of a readily available technology and harvesting its benefits for a longer period of time is more economical than waiting for a few years to deploy newer platforms promising potentially bigger TCO savings.

Software 78

Software Software Google Hardware 78

O'Reilly

OCTOBER 11, 2022

They are all likely to exist in some kind of silo that’s difficult to access from the outside the group that created the silo–and the reason for that difficulty may be political as well as technological. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. Is retraining needed?

Games 141

Games Healthcare Processing Systems 141

Tim Kadlec

JUNE 6, 2018

I didn’t tune in for the WWDC stuff this year. What interests me most about the web on a watch are the constraints that the hardware places. This enables lower-powered hardware to serve web content without overtaxing itself. However, for the past few years, I’ve found the announcements to be mostly mundane.

Hardware 60

Hardware Media Tuning Servers 60

Percona

JANUARY 19, 2023

While the technologies have evolved and matured enough, there are still some people thinking that MySQL is only for small projects or that it can’t perform well with large tables. With hardware being more powerful and cheaper, and the technology evolving, now it is easier than ever to manage large tables in MySQL.

Open Source 111

Open Source Storage Database Big Data 111

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. There is a lot of awesome technology involved with Hyperscale in how it is architected to use SSD-based caches and page servers. New Hardware Configuration for Provisioned Compute Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

O'Reilly Software

APRIL 4, 2018

To remain competitive in a market that demands real-time responses to these digital pulses, organizations are adopting fast data applications as key assets in their technology portfolio. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

Adrian Cockcroft

JUNE 2, 2023

The maturing of various AI technologies has also hit some tipping points and is evolving extremely quickly week by week. The purpose of my talk was to get people to understand how fast they could innovate, and to use prior examples as patterns to detect and jump on emerging tipping point opportunities.

Social Media 95

Social Media Innovation Open Source Entertainment 95

Abhishek Tiwari

SEPTEMBER 15, 2024

This allows NASA's engineers to fine-tune every aspect of the rover's behavior, optimizing for reliability rather than rapid development or ease of use. While consumer tech often pushes the envelope with cutting-edge hardware and complex feature sets, space systems often rely on simpler, proven technology.

Engineering 52

Engineering Social Media Hardware C++ 52

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). And namespaces, used for Linux containers, are also a relevant technology.

Virtualization 75

Virtualization AWS Engineering Hardware 75

The Morning Paper

MARCH 17, 2020

EWR is the ratio of bytes issue by the iMC divided by the number of bytes actually written to the 3D-XPoint media (as measured by the DIMM’s hardware counters). The guidelines… provide a starting point for building and tuning Optane-based systems. EWR is the inverse of write amplification.

Scalability 59

Scalability Latency Cache Media 59

Sutter's Mill

MAY 28, 2012

Mainstream hardware – many kinds of parallelism: What’s the relationship among multi-core CPUs, hardware threads , SIMD vector units (Intel SSE and AVX , ARM Neon ), and GPGPU (general-purpose computation on GPUs, which I covered at C++ and Beyond 2011 )? Stay tuned, and fasten your seat belts.

C++ 40

C++ Hardware Best Practices Tuning 40

Percona

AUGUST 29, 2023

So, it’s not an understatement when I say that Citus is one of the more interesting technologies that I’ve come across when scaling PostgreSQL. Depending on the configuration, one can tune a hardware RAID for either performance or redundancy. The same can be said for Citus data sharding.

C++ 98

C++ Database Storage Testing 98

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. If tuned for performance, there is a good change reliability is compromised - and vice versa. A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

Dotcom-Montior

OCTOBER 12, 2017

Dynatrace is a SaaS based monitoring solution and supports a broad range of technologies. 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. Reduce re-run effort.

AWS 40

AWS Monitoring Tuning Servers 40

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. For specific information on I/O tuning and balancing, you will find more details in the following document.

Servers 40

Servers Cache Media Hardware 40

Dynatrace

SEPTEMBER 20, 2023

They’re really focusing on hardware and software systems together,” Dunkin said. How do you make hardware and software both secure by design?” The DOE supports the national cybersecurity strategy’s collective defense initiatives. Tune in to the full episode for more insights from Ann Dunkin. government as a whole.

Energy 264

Energy Strategy Government Hardware 264

Dynatrace

OCTOBER 28, 2021

In 2010, Netflix introduced a technology to switch production software instances off at random — like setting a monkey loose in a server room — to test how the cloud handled its services. So, the organization sought to reduce complexity and raise production quality. Thus, the tool Chaos Monkey was born.

Engineering 264

Engineering Entertainment Cloud Infrastructure 264