Dynatrace

DECEMBER 16, 2019

We can’t predict when things might go wrong. The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt. We lose our understanding of how things work. Or worse; early successes may lull us into complacency, leading us to stop caring.

Artificial Intelligence 150

Artificial Intelligence Traffic Efficiency Innovation 150

High Scalability

DECEMBER 16, 2022

I was curious, given all the ChatGPT love, what it would make of some of our favorite topics. It's as many have predicted about AI/ML. DALL-E picture generated from the answer. I was both impressed and unimpressed. ChatGPT instantly generated an response that might make a good answer in a Miss Universe contest. You're welcome!

Cloud 201

Cloud Serverless Internet Internet 201

All Things Distributed

APRIL 3, 2015

Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. It roots are in the late 50''s early 60''s, although of course one can even claim that Turing was the first to discuss the topic.

Artificial Intelligence 146

Artificial Intelligence Games Programming Analytics 146

Dynatrace

MARCH 23, 2020

There’s no way to accurately predict capacity of Kubernetes nodes or clusters without a high level of observability. Dynatrace industry-leading tracing, metrics, and log ingestion provide the level of high fidelity data that teams need to make accurate predictions about capacity. Achieve observability with Dynatrace.

Google 194

Google Engineering Metrics Hardware 194

O'Reilly

DECEMBER 12, 2023

Models are trained by giving them smaller bits of input and asking them to predict the next word billions of times; tweaking the model’s parameters slightly to improve the predictions; and repeating that process thousands, if not millions, of times. ,” pointing out that this problem has been with us since the beginning of the Web.

Artificial Intelligence 101

Artificial Intelligence Media Google Processing 101

Alex Podelko

AUGUST 18, 2019

Mark Tomlinson’s webinar Solving Performance Problems with AI may be a good introduction into the topic. It is rather paradoxical that once popular topic of performance modeling became practically forgotten – it is time to revive it! Latest move into that area was SmartBear LoadNinja.

Performance Testing 243

Performance Testing Testing Performance Testing Tools 243

The Morning Paper

OCTOBER 6, 2019

Prediction serving latency matters. The models deployed at Booking.com can be grouped into six broad categories: Traveller preferences models operate in the semantic layer, and make broad predictions about user preferences (e.g., Lesson 4: prediction serving latency matters. Be clear about the problem you’re trying to solve.

Latency 102

Latency Metrics Cache Design 102

Brendan Gregg

JULY 4, 2021

I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

Performance 52

Performance Latency Hardware Storage 52

DZone

NOVEMBER 9, 2021

Automation testing catches predicted problems but is almost useless for unpredicted issues.nnThere were so many times when one of the best QA person who I worked with came to me saying something like: “I don’t know. larger topics, including problem definition, documentation, UX, design, etc.).

Software 245

Software Software Code Energy 245

The Morning Paper

JULY 14, 2019

via best paper awards), and scanning the list of paper titles looking for potentially interesting topics. When the overall prediction score is the sum of K separate predictions, the value of a datum should be the sum of its value for each prediction. “ Data Shapley in action. removing random points).

Games 76

Games Performance Metrics Technology 76

Percona

DECEMBER 27, 2023

This finding aligns with the observations made at the Data on Kubernetes (DoK) day, where discussions surrounding this topic transitioned from niche, tech-oriented conversations a year ago to more widespread, enterprise-level interest in adopting diverse use cases.

Cloud 79

Cloud Open Source Strategy Best Practices 79

Tech News Gather

SEPTEMBER 5, 2022

Given the abundance of available non-fungible token positions, it’s also challenging to predict certificated token expert salaries accurately. Using reliable online test topics, 101 smart contracts support the skill learning of all qualified non-fungible token professionals. What does a non-fungible token expert get paid?

Education 52

Education Virtualization Strategy Availability 52

Dynatrace

APRIL 26, 2023

One effective capacity-management strategy is to switch from a reactive approach to an anticipative approach: all necessary capacity resources are measured, and those measurements are used to train a prediction model that forecasts future demand. You can use any DQL query that yields a time series to train a prediction model.

Games 215

Games Analytics Strategy Cloud 215

The Morning Paper

JANUARY 21, 2020

Predictability is reduced: we can’t always predict all the consequences of an action, and for a given desired outcome we can’t always determine what actions will produce it. System behaviour may be coherent to a degree (recurring patterns and trends), but the system is not fixed so these patterns and trends vary over time.

Internet 98

Internet Internet Strategy Energy 98

Testsigma

FEBRUARY 18, 2020

Nowadays, AI techniques are becoming so advanced that relations can also be extracted from language, images, data and subsequently you can make predictions. Artificial Intelligence has become one of the most talked topics in this digital era. Example: Prediction on what you may also like when you search a movie on IMDB.

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

Official Blog - World Web Technology

JULY 7, 2023

These systems produce in-depth analytics and reports on various topics, including website traffic, customer behavior, and sales performance. Thanks to advanced analytics tools, businesses can do complicated analyses, including cohort analysis, consumer segmentation, and predictive modeling.

Ecommerce 52

Ecommerce Software Software Analytics 52

The Morning Paper

FEBRUARY 2, 2020

We’ve visited the topic of fairness in the context of machine learning several times on The Morning Paper (see e.g. [ 1 ] 1 , [ 2 ] 2 , [ 3 ] 3 , [ 4 ] 4 ). I’m still picking up new insights every time I revisit the topic though, and today’s paper choice is no exception.

Metrics 109

Metrics Government Best Practices Design 109

Smashing Magazine

JULY 1, 2021

When this happens, you cannot predict whether the previous test will stay in that order or will be completed after the others, in which case tests A and B would lose their basis. Dodds states in his article on the topic: “You shouldn’t test implementation details.”. Last but not least, this is a topic I cannot stress enough.

Testing 120

Testing Best Practices Code Design 120

O'Reilly

OCTOBER 31, 2019

One of the most exciting topics we’ve been following is the development of quantum computing. Watson’s notorious (and perhaps apocryphal ) prediction that the total market for computers would be five, might be close to the truth. I will steer clear of a lengthy explanation of quantum computing, which I’m not really competent to give.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

Strategic Tech

SEPTEMBER 30, 2020

I can’t predict the timescale of these changes, but it is encouraging to see tools like Structurizr and Contexture, and the exceptional work of Cyrille Martraire. Let me know your thoughts on this topic. We might no longer have the problem of “everybody who worked on that part of the system has left”.

Architecture 75

Architecture Design Programming Software 75

Dynatrace

NOVEMBER 20, 2023

Read on to learn more about generative AI, causal AI, predictive AI, and how the AWS platform, alongside observability, promotes digital transformation, cloud modernization, and cloud migration without compromising application performance and security. What is predictive AI? These details enable reliable generative AI recommendations.

AWS 211

AWS Artificial Intelligence Analytics Cloud 211

Speed Curve

AUGUST 8, 2017

To my mind, the topic had been well covered. Before we wade into this topic (again), some big important caveats. Prediction: 4MB pages by 2019? A couple of month ago, someone asked if I'd written a page bloat update recently. The answer was no. It didn't feel like there was much new territory to cover.

Metrics 80

Metrics Website Speed Benchmarking 80

O'Reilly

MARCH 12, 2024

It’s important to make sure that you can capture enough relevant data to predict problems before they become problems; only capturing enough data for a post-mortem analysis isn’t sufficient. Languages change slowly, but the topics about which you want your model to be conversant will not.

Software 16

Software Software Monitoring Programming 16

Adrian Cockcroft

NOVEMBER 16, 2021

[link] Carlota went first, explaining the way revolutions follow each other, and that we are in the middle of the Information Technology revolution, at one of the most disruptive phases, and her prediction that there could be a more stable golden age coming next.

Energy 52

Energy Government Innovation AWS 52

All Things Distributed

APRIL 17, 2013

re adopting the same practice, particularly in the areas of digital advertising, social gaming and connected device applications where high availability, seamless scalability, predictable performance and low latency are very critical. For more information, please see the appropriate topics in the Amazon DynamoDB developer guide.

Cloud 116

Cloud Latency Games Scalability 116

VoltDB

MAY 10, 2017

I came to VoltDB from the analytics world where not too long ago, predictive models were built through a rather slow, inefficient iterative process that often took days or even weeks. This is why “transparency” has become a hot topic within Adtech. Those are some of my takeaways from our webinar.

Speed 40

Speed Analytics Website Database 40

VoltDB

MAY 10, 2017

I came to VoltDB from the analytics world where not too long ago, predictive models were built through a rather slow, inefficient iterative process that often took days or even weeks. This is why “transparency” has become a hot topic within Adtech. Those are some of my takeaways from our webinar.

Speed 40

Speed Analytics Website Database 40

Rigor

SEPTEMBER 11, 2019

Check out her writing about business and technology on her own site at rachelandrew.co.uk , and follow her on Twitter @ rachelandrew , where she tweets about CSS, tech topics, and much more. He tweets about both personal (travel, photography) and professional (web performance) topics @ dougsillars. Jake Archibald. Jake Archibald.

Performance 89

Performance Education Google Website 89

Smashing Magazine

JUNE 25, 2021

According to this fourth UX criterion, design elements should be consistent and predictable. The search does a good job of auto-suggesting topics that might be useful. First, I see that the websites in one of the most topical industries right now could have their UX updated. Heuristic 4: Consistency and Standards.

Education 83

Education Website Google Design 83

High Scalability

FEBRUARY 19, 2020

One of the many topics of discussion was the often predicted death of Moore's Law. In case you've never heard of Jim Keller before, from this intro you can immediately understand why he may have special insight on the topic: Jim Keller is a legendary microprocessor engineer, having worked at AMD, Apple, Tesla, and now Intel.

Innovation 264

Innovation Architecture Engineering Design 264

Percona

DECEMBER 20, 2018

With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies. And making lists. We’ve had nearly 4 million visits to the blog in 2018: thank you!

Database 40

Database Tuning Performance AWS 40

Tim Kadlec

AUGUST 14, 2018

Many of the responses to the post were…predictable. Whether or not the topic was overlooked is up for debate (there has been work done by the IETF towards solving this ), and I suppose depends entirely on which discussions you were or were not involved in over the past few years. Every technology creates winners and losers.

Cache 64

Cache Mobile Servers Latency 64

O'Reilly

FEBRUARY 18, 2020

O’Reilly online learning contains information about the trends, topics, and issues tech leaders need to watch and explore. It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

DECEMBER 2, 2019

There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions. O’Reilly conferences combine expert insights from industry leaders with hands-on guidance about today’s most important technology topics. Reliability will be an even bigger problem than latency. Upcoming events.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

The Symphonia

MAY 22, 2018

Discovery is an area that I wanted to mention in the first version since it’s such a hot topic in the Microservices community. I might not get all my predictions right, but this one I’m happy has come to pass. Deployment and packaging has also got much better. But it’s something that gets very little discussion in Serverless.

Serverless 40

Serverless Architecture Lambda Azure 40

Percona

AUGUST 8, 2023

Unfortunately, this topic is more of an art than a science, given that there is really no foolproof algorithm or approach that can tell you exactly where you might hit a bottleneck with server performance. Unfortunately, this is the single hardest bottleneck to predict and is based solely on the use case.

Traffic 89

Traffic Cache Monitoring Database 89

Alex Russell

JUNE 12, 2018

Many an august and thoughtful person has engaged in outrageous groupthink when these processes are asked to predict the future rather than document consensus. Participants have reasons not to tell them — boredom with a topic, the phantom pain of arguments nearly won, and the responsibilities of statesmanship towards counterparties.

Design 43

Design Engineering Government Processing 43