Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

SEPTEMBER 30, 2021

Major cloud providers such as AWS offer certification programs to help technology professionals develop and mature their cloud skills. By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term. What is the value of AWS training and certification?

AWS 215

AWS Best Practices Analytics Cloud 215

Dynatrace

MAY 24, 2021

The combined ability of Dynatrace and our partners to address this growing TAM with efficient, high-speed land and expand deals is underpinned by the 530+ cloud services and technology integrations available on the Dynatrace Hub. Partner Program update – new Ignite tier. Partner Competency Program. Partner Pro Club.

Programming 175

Programming Cloud Virtualization Technology 175

Dynatrace

JUNE 8, 2021

In software we use the concept of Service Level Objectives (SLOs) to enable us to keep track of our system versus our goals, often shown in a dashboard – like below –, to help us to reach an objective or provide an excellent service for users. The training program to proactively improve your services. Then let’s go!

Metrics 170

Metrics Tuning Programming Systems 170

Dynatrace

JULY 6, 2022

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. AI that is based on machine learning needs to be trained.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

High Scalability

DECEMBER 16, 2022

This model of computing has become increasingly popular in recent years, as it offers a number of benefits, including cost savings, flexibility, scalability, and increased efficiency. Cloud computing has become a widely-used model of computing, as it offers a number of benefits over traditional, on-premises computing systems.

Cloud 201

Cloud Serverless Internet Internet 201

The Morning Paper

APRIL 16, 2019

Teaching rigorous distributed systems with efficient model checking Michael et al., It describes the labs environment, DSLabs , developed at the University of Washington to accompany a course in distributed systems. EuroSys’19. On the surface you might think today’s paper selection an odd pick.

Systems 43

Systems Efficiency Testing Strategy 43

Dynatrace

JUNE 5, 2023

If you’re in IT, you know how important it is to keep an eye on your systems and infrastructure in real-time. In the past, ITOps teams communicated by phone, email, and other tools, interacting manually with ticketing systems for technical support and incident management. What is a ChatBot?

Google 207

Google DevOps Efficiency Monitoring 207

The Morning Paper

JUNE 27, 2019

Machine learning systems are stuck in a rut Barham & Isard, HotOS’19. In this paper we argue that systems for numerical computing are stuck in a local basin of performance and programmability. Convolutional Capsule primitives can be implemented reasonably efficiently on CPU but problems arise on accelerators (e.g.

Systems 87

Systems Tuning Programming Innovation 87

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. Due to its popularity, the number of workflows managed by the system has grown exponentially. The scheduler on-call has to closely monitor the system during non-business hours. A large number of batch workflows run daily to serve various business needs.

Java 202

Java Scalability Traffic Architecture 202

The Netflix TechBlog

MAY 28, 2021

Whether they worked at a manufacturer for very large industrial ventilation systems , or in finance, healthcare, or elsewhere in tech (big or small), most people on my team have unique paths to their current positions at Netflix. When I was growing up, I developed a strong interest in the space program. loved space movies (still do!),

Healthcare 200

Healthcare Entertainment Analytics Programming 200

All Things Distributed

NOVEMBER 22, 2016

Machine learning is playing an increasingly important role in many areas of our businesses and our lives and is being employed in a range of computing tasks where programming explicit algorithms is infeasible. Some examples of popular deep learning frameworks that we support on AWS include Caffe, CNTK, MXNet, TensorFlow, Theano, and Torch.

AWS 167

AWS Open Source Scalability Programming 167

O'Reilly

MARCH 23, 2023

It can pretend to be an operating system. which has received some specialized training. with specialized training. Sydney is based on GPT-4, 1 with additional training. Kosmos-1 Developed by Microsoft, and trained on image content in addition to text. And some of these things are mind blowing. It’s much more.

Google 103

Google Open Source Programming Code 103

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications.

Latency 52

Latency Hardware Cache Architecture 52

O'Reilly

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

O'Reilly

OCTOBER 19, 2021

There is a decades-long tradition of data-centric programming : developers who have been using data-centric IDEs, such as RStudio, Matlab, Jupyter Notebooks, or even Excel to model complex real-world phenomena, should find this paradigm familiar. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch.

DevOps 137

DevOps Software Engineering Infrastructure Open Source 137

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. Likewise it has very low requirements on the initial amount of training data.

Testing 163

Testing AWS Lambda Network 163

Percona

DECEMBER 27, 2023

Another significant issue within security concerns is the escalating complexity of modern systems, especially in platforms like Kubernetes, which highlights the need for unified threat models and scanning tools to address vulnerabilities. Creating repositories for memory-safe patterns in cloud systems to improve overall security.

Cloud 76

Cloud Open Source Strategy Best Practices 76

The Netflix TechBlog

DECEMBER 23, 2020

By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system. everything from the frontend API for netflix.com, to machine learning training workloads, to video encoders.

Media 286

Media Metrics Systems Processing 286

Dynatrace

MARCH 10, 2021

In contrast, envision an AI-driven intelligent system that accurately provides the answers—in this case, the technical root cause of the anomaly, all contextual and associated information, and how to fix it. It needs to collect a substantial amount of data at the beginning to build a training dataset that an algorithm can begin to learn from.

AWS 146

AWS Cloud Artificial Intelligence Innovation 146

Percona

DECEMBER 18, 2023

Participation in the anonymous program is optional. The percona-postgis33 and percona-pgaudit packages on YUM-based operating systems are renamed percona-postgis33_13 and percona-pgaudit13 respectively Download Percona Distribution for PostgreSQL 13.13 Participation in the anonymous program is optional. 1 is based on MySQL 8.2

Monitoring 83

Monitoring Open Source Servers Scalability 83

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. The configuration of these devices is controlled by several other systems including source of truth, application of configurations to devices, and back up.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. It automatically manages all the computing resources those processes require.

Azure 138

Azure Serverless IoT Lambda 138

Adrian Cockcroft

FEBRUARY 13, 2023

Discussion of the water positive goal and optimizations that let AWS return water directly for irrigation rather than to the sewage system. Margaret leads the worldwide solution architect program for sustainability, and gives an excellent talk on how customers should think about optimizing their workloads.

AWS 64

AWS Energy Architecture Programming 64

The Netflix TechBlog

DECEMBER 11, 2020

This gives us access to Netflix’s Java ecosystem, while also giving us the robust language features such as coroutines for efficient parallel fetches, and an expressive type system with null safety. The schema registry also integrates with our CI/CD systems like Spinnaker to automatically setup cloud networking for DGSs.

Architecture 249

Architecture Best Practices Engineering Open Source 249

O'Reilly

NOVEMBER 21, 2019

In a classic 1983 paper , cognitive psychologist Lisanne Bainbridge drew attention to a curious irony: so-called “automated” systems were, in practice, usually attended by one or more human operators. The more advanced the system, she observed, “the more crucial…the contribution of the human operator.”

Processing 83

Processing Programming Virtualization Technology 83

Tasktop

JULY 22, 2021

We must have a deep understanding of what changes will have the biggest impact on velocity, predictability, efficiency, throughput and so on.”. A Flow-Based System. Flow : How efficient are you at delivering value to customers? “As Flow Efficiency – Is waste decreasing in our processes? Mik Kersten.

Metrics 98

Metrics DevOps Efficiency Benchmarking 98

The Morning Paper

JANUARY 12, 2020

Last week we looked at some of the challenges inherent in automation and in building systems where humans and software agents collaborate. Today’s paper choice sets out some of the current (additional) challenges we face getting reinforcement learning to work well in many real-world systems. from system logs).

Programming 43

Programming Systems Efficiency Network 43

Percona

OCTOBER 18, 2023

The findings from our 2023 Open Source Database Report highlight that a substantial 42% of all database instances are now licensed through community-supported open source models, and GitHub reports that over 30% of Fortune 100 companies have established open source program offices (OSPO) to coordinate and manage their open source initiatives.

Open Source 88

Open Source Database Hardware Strategy 88

Tasktop

FEBRUARY 11, 2020

PMO roles—such as program and project managers—are expanding and evolving due to the reorientation of IT organizations toward value-based outcomes. As with any transformation, which in reality is ongoing, investment in training is essential. Identify an internal champion to identify which skills to train people on.

Programming 69

Programming C++ Engineering DevOps 69

O'Reilly

MAY 25, 2021

OpenAI’s text generating system GPT-3 has captured mainstream attention. GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. Note that the dataset on which GPT-3 trained terminated around October 2019.

Social Media 136

Social Media Media Internet Internet 136

O'Reilly

OCTOBER 11, 2022

meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment. We could see it as an example of 1980s-style “ expert systems ,” based on deterministic business rules. Developers who are automating business systems have to determine where humans belong in the loop.

Games 114

Games Healthcare Processing Retail 114

All Things Distributed

DECEMBER 13, 2016

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. At re:Invent 2016 , AWS announced Greengrass (in limited preview), a new service designed to extend the AWS programming model to small, simple, field-based devices. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Adrian Cockcroft

JANUARY 20, 2023

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. Jack Dongarra talked about the scores, and pointed out the low efficiency on some important workloads. Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

All Things Distributed

FEBRUARY 18, 2015

One of our guiding principles at AWS is to listen closely to our customers and the feedback that I am getting about our training and certification program is very positive. It validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform.

DevOps 94

DevOps AWS Engineering Innovation 94

Strategic Tech

MARCH 26, 2019

However, as software systems age, the time it takes to add new features grows exponentially?—?and The costs of entropy in software systems cannot be over-emphasised. You will worry that they are wasting time or not working efficiently. Mob programming is a great example. and business innovation speed plummets.

Software Engineering 76

Software Engineering Engineering Software Software 76

ScaleOut Software

JANUARY 28, 2021

The in-memory computing system which hosts them typically runs as a cloud service (such as the ScaleOut Digital Twin Streaming Service ) that transparently scales to handle as many data sources as needed. Avoiding the complexity and delay required to build custom information management systems that can provide this information.

Logistics 84

Logistics Airlines Analytics Ecommerce 84