Dynatrace

FEBRUARY 15, 2023

Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. It’s even possible to harness the power of Davis by adding predictive forecasts to identify future trends with a simple click. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 222

Analytics Social Media Metrics Efficiency 222

Dynatrace

MAY 26, 2021

Jonah Kowall, CTO of Logz.io, also gave a talk on the topic of “Managing applications SLAs using Traces and Metrics”. Yet, with third party formats like OpenTelemetry this topic got a lot of attention by our research team again. EBPF is predicted to become a canon for telemetry. This resonated well with our team.

AWS 147

AWS Strategy Storage Metrics 147

The Netflix TechBlog

MAY 21, 2022

We covered a wide range of topics including difference-in-difference estimation, double machine learning, Bayesian AB testing, and causal inference in recommender systems among many others. However, when the topic of holdback tests is raised, it can seem too complicated in terms of experimental design and/or engineering costs.

Entertainment 218

Entertainment Best Practices Innovation Testing 218

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 140

Performance Latency Hardware Storage 140

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 146

Artificial Intelligence Traffic Efficiency Innovation 146

Dynatrace

FEBRUARY 15, 2023

In the meantime, watch out for upcoming Dynatrace Observability Clinics and live “Ask me anything” sessions covering the main topics of this blog post. The new Dynatrace user experience, including the newly developed AutomationEngine, will be available within 90 days.

Cloud 167

Cloud DevOps Code Open Source 167

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 145

Artificial Intelligence Games Programming Analytics 145

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 192

Google Engineering Metrics Hardware 192

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 90

Traffic Cache Monitoring Database 90

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

Dynatrace

OCTOBER 30, 2023

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* For more DQL tips and example DQL strings, see the topic DQL best practices. The resulting vast increase in data volume highlights the need for more efficient data handling solutions.

Best Practices 236

Best Practices Analytics Artificial Intelligence Infrastructure 236

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

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 80

Cloud Open Source Strategy Best Practices 80

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

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

FEBRUARY 25, 2021

Gartner predicts that by 2025, 50% of all global enterprises will have deployed serverless function platforms as a service (fPaaS), up from only 20% today. We’ll cover these topics and more in follow-up blog posts over the coming weeks. Dynatrace news. Dynatrace has offered a Lambda code module for Node.js functionality?

Lambda 212

Lambda AWS Monitoring Serverless 212

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

Highly Scalable

MARCH 10, 2015

Fast data circulation in modern retail enables retailers to make accurate forecasts using relatively simple models because small incremental predictions are generally simpler than big decisions. user behavior cannot be precisely predicted) or because it’s impossible to extrapolate the existing data to the case of interest (e.g.

Retail 152

Retail C++ Analytics Metrics 152

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

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. This topic needs further research and additional blog posts!

Architecture 52

Architecture Latency Benchmarking AWS 52

O'Reilly

NOVEMBER 21, 2019

Tasks that are consistent, repeatable, and/or highly predictable are excellent candidates for robotic automation. RPA rule of thumb: if it’s repeatable and predictable, it can be automated. Engaging experts and vendor tools can help speed RPA adoption for those new to the topic. Human-orchestrated “integrations.”

Processing 83

Processing Programming Virtualization Technology 83

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

Percona

APRIL 26, 2023

Is it sustainable, that is – will the software continue to be developed and maintained long-term, predictably, so you can depend on it? The health of the community is a broad topic, I won’t try to explore it here fully. Is open source software as stable as other software? But, in short, check out the history of the project.

Open Source 85

Open Source Software Software Social Media 85

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

Smashing Magazine

MAY 17, 2021

The results pages are different for everyone, and it can be hard for us to predict exactly how each person experiences the site. If you’re interested in reading more deeply into this topic, here’s a great guide on the topic. When some of these slower queries resolve, we will update the UI with whatever new information comes in.

Google 93

Google Analytics Serverless Metrics 93

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

Sutter's Mill

FEBRUARY 22, 2021

Progress will be slower than when we can meet face-to-face, and we’ll doubtless defer some topics that really need in-person discussion until we can meet again safely, but in the meantime we’ll make what progress we can and we’ll ship C++23 on time.

C++ 73

C++ Virtualization Lambda Government 73

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

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

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 114

Cloud Latency Games Scalability 114