Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JULY 11, 2023

IBM Power servers enable customers to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Additionally, Dynatrace integrates seamlessly with cloud-native technologies and services, such as Istio and Prometheus, further enhancing its monitoring capabilities.

Architecture 174

Architecture Availability Infrastructure Monitoring 174

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., memory leaks that take hours to build up into an issue); and there can be problems that only exhibit themselves with certain user, hardware, or software configurations. NSDI’20.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

All Things Distributed

NOVEMBER 15, 2016

QuickSight is a very fast, cloud-powered, business intelligence service for the 1/10th the cost of old-guard BI solutions. Along with data generated in the cloud, customers also have legacy data sitting in on-premises datacenters, scattered on user desktops, or stored in SAS applications. Enter Amazon QuickSight.

Analytics 152

Analytics Availability Media Social Media 152

Dynatrace

NOVEMBER 22, 2022

But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. In fact, a recent survey found that many cloud applications are vulnerable to outages , despite growing confidence in cloud platforms and services.

Infrastructure 188

Infrastructure Availability Systems Retail 188

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

All Things Distributed

OCTOBER 7, 2015

QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions. QuickSight is a cloud-native BI service built from the ground up to address the big data challenges around speed, complexity, and cost. Big data challenges. Enter Amazon QuickSight.

Cloud 137

Cloud Big Data AWS Analytics 137

Dynatrace

SEPTEMBER 29, 2021

If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. Docker Engine is built on top containerd , the leading open-source container runtime, a project of the Cloud Native Computing Foundation (DNCF). Dynatrace news.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 271

Serverless Infrastructure Innovation DevOps 271

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. 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.

Serverless 239

Serverless Azure Monitoring Lambda 239

All Things Distributed

SEPTEMBER 6, 2013

Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. . But it is not just Dutch entrepreneurs who build their business in the cloud, also traditional Dutch enterprises are moving to the cloud to improve their agility and cost-effectiveness.

Cloud 129

Cloud Energy AWS Healthcare 129

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. If yes — cloud-based testing is your solution. Cloud-based testing, as the name suggests, is a form of testing where end-to-end testing happens on the cloud. to test your product.

Cloud 57

Cloud Testing Storage DevOps 57

The Netflix TechBlog

APRIL 29, 2019

Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. This has led to a dramatic reduction in the time it takes to detect issues in hardware or bugs in recently rolled out data platform software.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

AUGUST 12, 2020

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. 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.

Serverless 143

Serverless Azure Monitoring Lambda 143

Testlodge

NOVEMBER 12, 2021

Hardware Compatibility Testing: In this scenario, an application is tested against various hardware configurations to check behavior. As well as consulting the requirements, Google Analytics is the most comprehensive way to obtain information about the most widely used browsers along with a list of their versions and operating systems.

Testing 78

Testing Hardware Operating System Mobile 78

Dynatrace

OCTOBER 28, 2020

It covers the whole range of technologies, from bleeding-edge cloud platforms down to the mainframe. As soon as we learned that the new Dynatrace platform covers all that, plus the bleeding-edge cloud technologies, it was a no-brainer to upgrade sooner than later!” And even Digital business analytics.

Monitoring 148

Monitoring Systems Infrastructure Cloud 148

Dynatrace

DECEMBER 20, 2019

As soon as we learned that the new Dynatrace platform covers all that, plus the bleeding-edge cloud technologies, it was a no-brainer to upgrade sooner than later!” As a bonus, you’ll become “future ready” for transforming more and more services to dynamic, multi-cloud environments where these capabilities are a must.

Infrastructure 134

Infrastructure Cloud Government Monitoring 134

All Things Distributed

JULY 13, 2010

Expanding the Cloud - Cluster Compute Instances for Amazon EC2. Today, Amazon Web Services took very an important step in unlocking the advantages of cloud computing for a very important application area. Unlocking the benefits of the cloud for the HPC community. Expanding the Cloud - The AWS Storage Gateway. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

O'Reilly

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. Our audience is particularly strong in the software (20% of respondents), computer hardware (4%), and computer security (2%) industries—over 25% of the total. Salaries were lower regardless of education or job title.

Azure 145

Azure Social Media Programming AWS 145

Dotcom-Montior

NOVEMBER 24, 2021

With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., Software and hardware components are autonomous and execute tasks concurrently. Gone are the days of monolithic architecture. State is distributed through the system. Concurrency.

Systems 74

Systems Monitoring Hardware Network 74

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Dynatrace

DECEMBER 16, 2021

Dynatrace’s RUM for Mobile Apps provides crash analytics by default. Because Synthetic tests are predictable and eliminate any seasonal behavior or impact of the end user’s environment (defect hardware, bad Wi-Fi, etc.). Mobile Crashes. For our SLO the only thing we need is the default Mobile Crash Rate metric.

DevOps 210

DevOps Social Media Mobile Metrics 210

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Dotcom-Montior

MAY 12, 2020

Hardware resources. With the evolution of cloud technologies, such as Single Page Applications (SPAs), Web APIs, and Model View Controller (MVC), network latency has become a crucial factor to be monitored. Hardware Resources. To overcome those intimidating errors, frequent automated and real-time tests should be made.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. Public Cloud vs. On-Premise vs. Hybrid Cloud.

Open Source 55

Open Source Database Cloud Infrastructure 55

The Morning Paper

SEPTEMBER 19, 2019

We hear a lot from Google and Microsoft about their cloud platforms, but not quite so much from the other key industry players. Autoscaling tiered cloud storage in Anna. This VLDB’19 paper describes “ how we extended a distributed key-value store called Anna into an autoscaling, multi-tier service for the cloud.”

Blockchain 46

Blockchain Hardware Google Analytics 46

Tasktop

APRIL 8, 2021

To illustrate the point, consider this one-on-one conversation that I had with the global CIO of a large financial services company a couple of years ago: CIO: “We have stepped up our Agile transformation efforts to get to 100% Agile by the end of year, and have a large DevOps and cloud transformation happening as well.”.

Innovation 52

Innovation DevOps Analytics Scalability 52

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center.

Latency 63

Latency Analytics Scalability Engineering 63

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. And while it’s easy to say “spin up more AWS servers”, you’re only adding to your cloud provider bill. If increasing hardware is the “work harder” answer to header bidding, then “work smarter” is the better option.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

However, increasing hardware capacity doesn’t really solve the problem, and it introduces new ones. And while it’s easy to say “spin up more AWS servers”, you’re only adding to your cloud provider bill. If increasing hardware is the “work harder” answer to header bidding, then “work smarter” is the better option.

Performance 40

Performance Hardware Latency Infrastructure 40

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Breuninger, a fashion department store chain steeped in tradition, has recognized this and relies on a self-developed e-commerce platform in the AWS Cloud.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Abhishek Tiwari

DECEMBER 27, 2017

With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs. Leveraging the recent hardware advances.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. Also, you can choose to program post-commit actions, such as running aggregate analytical functions or updating other dependent tables.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

NOVEMBER 15, 2010

Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel. Expanding the Cloud - The AWS Storage Gateway. Expanding the Cloud â??

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

MARCH 13, 2017

Job openings for machine learning scientists, data analytics experts, IT security experts or developers are already difficult to fill, and the demand for this knowledge will increase significantly in the next few years as customers show their demand for digital engagements.

Social Media 84

Social Media Retail Automotive Innovation 84

The Agile Manager

MAY 31, 2020

Finally, an increase in digital trade will increase the need for more and faster technology to conduct that trade, amplifying the risk of frail legacy tech and accelerating the shift from solutions that are self-hosted to cloud. Testing, treatments and analytics may result in far less draconian methods of containment.

Airlines 52

Airlines Government Hardware Technology 52