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Michelangelo , Uber’s machine learning (ML) platform, supports the training and serving of thousands of models in production across the company. Designed to cover the end-to-end ML workflow, the system currently supports classical machine learning, time series forecasting, and deep … The post Evolving Michelangelo Model Representation for Flexibility at Scale appeared first on Uber Engineering Blog.
Digital twins are typically used in the field of product life-cycle management (PLM) to model the behavior of individual devices or components within a system. This assists in their design and development and helps lower costs. A digital twin model of a device simulates both the device’s behavior and its interactions with other components in the system.
Dynatrace news. We’re no longer living in an age where large companies require only physical servers, with similar and rarely changing configurations, that could be manually maintained in a single Datacenter. We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. with more being added continually.
A long time ago, in a galaxy far far away, ‘threads’ were a programming novelty rarely used and seldom trusted. In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It would be a shame if your database crashed, after all. Since then, a lot of water has flown under that bridge, but the PostgreSQL community has stuck by their original decision.
By Ammar Khaku Introduction In a microservice architecture such as Netflix’s, propagating datasets from a single source to multiple downstream destinations can be challenging. These datasets can represent anything from service configuration to the results of a batch job, are often needed in-memory to optimize access and must be updated as they change over time.
[link]. I’m a Unix guy. Note that I did not say Linux. When I started my career, many small to mid-sized companies were running on minicomputers from companies such as IBM, Digital Equipment Corporation (DEC), PR1ME Computer, and others. Dr. Who fans might get a chuckle out of this blast from the past.
Dynatrace news. With Dynatrace Synthetic, you can monitor the availability and performance of your web applications under clean-room conditions. Having synthetic monitors that are executed at regular intervals from our public Synthetic locations worldwide allows you to compare your application’s performance to the experiences of your real users.
A long time ago, in a galaxy far far away, ‘threads’ were a programming novelty rarely used and seldom trusted. In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It would be a shame if your database crashed, after all. Since then, a lot of water has flown under that bridge, but the PostgreSQL community has stuck by their original decision.
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A long time ago, in a galaxy far far away, ‘threads’ were a programming novelty rarely used and seldom trusted. In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It would be a shame if your database crashed, after all. Since then, a lot of water has flown under that bridge, but the PostgreSQL community has stuck by their original decision.
Faisal Siddiqi Infrastructure for Contextual Bandits and Reinforcement Learning?—? theme of the ML Platform meetup hosted at Netflix, Los Gatos on Sep 12, 2019. Contextual and Multi-armed Bandits enable faster and adaptive alternatives to traditional A/B Testing. They enable rapid learning and better decision-making for product rollouts. Broadly speaking, these approaches can be seen as a stepping stone to full-on Reinforcement Learning (RL) with closed-loop, on-policy evaluation and model objec
Faster loading? Sign me up! If you implement testing your landing page you will get to know that you are wasting your money by just throwing them inside pits. The reason behind this is that your pages are simply not loading as expected as fast enough. Not only you are losing your cost of click but also the potential customers who would always remain a stranger to you.
Dynatrace news. APIs are the connective tissue in today’s online services. Fun fact: Salesforce and eBay first allowed access to their web APIs in the year 2000. As of 2019, ProgrammableWeb provides searchable access to almost 22,000 APIs, with more being added on a daily basis. But in today’s fast-changing technology world driven by IoT, microservice based architectures, mobile app integration, automation, and containerization, modern businesses are faced with API security issues more tha
There are places so remote, so harsh that humans can't safely explore them (for example, hundreds of miles below the earth, areas that experience extreme temperatures, or on other planets). These places might have important data that could help us better understand earth and its history, as well as life on other planets. But they usually have little to no internet connection, making the challenge of exploring environments inhospitable for humans seem even more impossible.
Who's Hiring? Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart.
Marvel at this article! You may also like: The Observability Pipeline. “[You’ve] been fighting with one arm behind your back. What happens when [you’re] finally set free?” — Paraphrasing Carol Danvers, a.k.a. Captain Marvel. BOOK REVIEW: '' How to Architect and Build Highly Observable Systems'' by Baron Schwartz. Observability is a property of an application or system, not the actual act of analysis.
Dynatrace news. You might already use Dynatrace Log Monitoring to gain direct access to the log content of your system’s mission-critical processes. Log Monitoring is a great way to search for text patterns like log files with errors or exceptions. But sometimes you might have a scenario where simple access to log file content is not enough—you need to create a metric for log entries that contain “Error,” for instance, or something more complex like “Error and not Warning.
Michelangelo , Uber’s machine learning (ML) platform, supports the training and serving of thousands of models in production across the company. Designed to cover the end-to-end ML workflow, the system currently supports classical machine learning, time series forecasting, and deep … The post Evolving Michelangelo Model Representation for Flexibility at Scale appeared first on Uber Engineering Blog.
Faisal Siddiqi Infrastructure for Contextual Bandits and Reinforcement Learning?—? theme of the ML Platform meetup hosted at Netflix, Los Gatos on Sep 12, 2019. Contextual and Multi-armed Bandits enable faster and adaptive alternatives to traditional A/B Testing. They enable rapid learning and better decision-making for product rollouts. Broadly speaking, these approaches can be seen as a stepping stone to full-on Reinforcement Learning (RL) with closed-loop, on-policy evaluation and model objec
Prompts to banish writer's block. Trying to write an article but have nothing to write about? You're in the right place! This is the solution to all your writer's block needs! No more excuses, just solutions. Below, you will find a couple of prompts to get you started in writing for our Performance zone! Find these helpful? Have ideas for future prompts?
Dynatrace news. Cloud Foundry BOSH is a powerful tool that combines release engineering, deployment, and life cycle management of distributed software in the cloud. While BOSH is platform agnostic, it’s the standard vehicle for rolling out and managing Cloud Foundry on virtualized infrastructure, across cloud providers. BOSH loves YAML (so it’s in good company with Kubernetes) and follows a declarative approach for defining the desired state of Cloud Foundry’s various components as w
Invisible mask: practical attacks on face recognition with infrared Zhou et al., arXiv’18. You might have seen selected write-ups from The Morning Paper appearing in ACM Queue. The editorial board there are also kind enough to send me paper recommendations when they come across something that sparks their interest. So this week things are going to get a little bit circular as we’ll be looking at three papers originally highlighted to me by the ACM Queue board!
If you start digging into Linux kernel internals, like function disassembly and profiling, you may run into two mysteries of kernel engineering, as I did: 1. What is this "__fentry__" stuff at the start of _every_ kernel function? Profiling? Why doesn't it massively slow down the Linux kernel? 2. How can Ftrace instrument _all_ kernel functions almost instantly, and with low overhead?
She is monitoring Prow resources very closely. At Loodse we’re making extensive use of Prow , Kubernetes’ own CI/CD framework , for our public and private projects. Prow is responsible for managing source code builds which are usually triggered by creating Pull Requests (PRs) on our GitHub repositories or sometimes periodically for nightly cleanup jobs.
Dynatrace news. Our team mates are returning from an informative and exciting SpringOne Platform by Pivotal conference last week in Austin, TX. With thousands of attendees and over 200 talks, it was an incredible learning and networking event for sharing best practices, and new ways of innovating, using the Pivotal Platform. At the event, our software intelligence company, Dynatrace, was pleased to receive the Pivotal ISV Partner of the Year Award for Customer Impact.
HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. Nevertheless in this blog sometimes we do publish performance data to highlight best practices or potential configuration pitfalls and although we’ve mentioned this one before it is worth dedicating an entire post to it as this issue seems to appear numerous times running database workloads on Linux.
Three years ago I sketched out three dimensions of business model evolution in response to the mounting performance pressure of the Big Shift. In this blog post, I want to highlight the role of this business model evolution in restoring trust in our corporations. A growing number of surveys around the world highlight the continuing erosion of trust in all our institutions.
If you who haven’t read Project to Product yet or any of my previous posts on the four key flow items from the Flow Framework , let me give you a bit of background. There are four flow items that provide value to the end-user of your software product: features (new business value), defects (quality), technical debt (removal of impediments to future delivery) and risk (security, governance, compliance). .
“I was told to buy a software or lose my computer. I ignored it”: a study of ransomware Simoiu et al., SOUPS 2019. This is a very easy to digest paper shedding light on the prevalence of ransomware and the characteristics of those most likely to be vulnerable to it. The data comes from a survey of 1,180 US adults conducted by YouGov, an online global market research firm.
If you start digging into Linux kernel internals, like function disassembly and profiling, you may run into two mysteries of kernel engineering, as I did: 1. What is this "__fentry__" stuff at the start of _every_ kernel function? Profiling? Why doesn't it massively slow down the Linux kernel? 2. How can Ftrace instrument _all_ kernel functions almost instantly, and with low overhead?
Quality over quantity. Poor-quality software has huge and growing economic consequences for organizations in the United States. But what are the actual monetary costs — and how can your technology company mitigate them?
It was exactly one day after my vacation. Starting to get back into the groove, I had a quick chat with my fellow engineer Holger (Staudacher). He casually mentioned that he found a really confusing test failure the other day that we should pair up on. Ready to start digging into some code again, he gave me the broad picture: Internally we use Log4j2 as our logging solution of choice (with the various off-the-shelf adapters to handle 3rd libraries with different log frameworks).
HackPPL: a universal probabilistic programming language Ai et al., MAPL’19. The Hack programming language, as the authors proudly tell us, is “ a dominant web development language across large technology firms with over 100 million lines of production code.” Nail that niche! Does your market get any smaller if we also require those firms to have names starting with ‘F’ ?
Elon Musk’s need for speed. As the media coverage of the project ramps up, you may have heard of Starlink – SpaceX’s new satellite constellation project. The ultimate goal of this venture is to deploy nearly 12,000 satellites into very low orbit, creating a “blanket” of coverage spanning the globe. A lot of coverage on this project is centered (rightfully) around the potential of this project to deliver fast internet to underdeveloped nations at a minimal cost.
We've got to keep track of these bugs! Identifying bugs is one of the crucial phases in the software development lifecycle. Tracking the bug ensures quality assurance of software as well as eliminates the risk of post-release glitches. Addressing any software or an app plagued with bugs is the worst nightmare of the testers. Sometimes, the issues or discrepancies are so inconsequential that even the testers fail to track them.
At a recent conference talk (sorry, I forget which one), there was a quick example of poor web performance in the form of a third-party widget. The example showed a site that installed the widget in order add a "email us" button fixed to the bottom right of the viewport. Not even a live-chat widget — just an email thing. It weighed in at something like 470KB, which is straight bananas.
The major application for high quality compression of photos is Internet speed. While bandwidth does continue to increase each year, so does the quality and size of most Internet media. What that means is that even though data can be transferred more quickly, the need for compressing media into smaller files without losing visual quality has not gone away.
In its initial days, Software Testing was completely manual. The repetitive nature of testing mundane tasks and the time required to test led to the wide adoption of automated testing. With Automation, testers could automate their repetitive tasks and focus on other testing tasks like choosing the right test cases for a test run and testing new features.
We'll help you improve performance! You may also like: 7 Simple Ways to Improve Website and Database Performance. Overview. I've been investigating US federal lobbying using Open Data published by the US government. I developed a program that loads the lobbying filing data into Neo4J , but severe performance problems reduced how much data could be loaded; the time required increased as filings were persisted to the point that one calendar year quarter could take over six hours.
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