Scalegrid

JANUARY 9, 2024

As more companies move away from traditional on-premises data centers, they enter into an era where scalability, flexibility, and cost-effectiveness become possible through various services offered by different providers in the market today.

Strategy 130

Strategy Cloud Best Practices Government 130

The Netflix TechBlog

MAY 21, 2019

When code many test cases are dependent on has changed, choose the right test cases among thousands of affected tests to quickly validate the change before committing it and running extensive, and expensive, tests. We wanted the to tool be available as a standalone library as well as scalable API service.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host. What does observability mean for Kubernetes?

Virtualization 162

Virtualization Infrastructure Monitoring Cloud 162

HammerDB

APRIL 19, 2023

As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 Be sure to check back.

Performance 54

Performance Benchmarking Cache Storage 54

All Things Distributed

MAY 8, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Using the AWS Toolkit for Visual Studio , you can now deploy your.NET applications to AWS Elastic Beanstalk directly from your Visual Studio environment without changing any code. Expanding the Cloud for Windows Developers. Comments ().

Cloud 115

Cloud Development AWS Servers 115

Testsigma

AUGUST 23, 2021

When the automation testing is performed on the cloud we save time on: The initial set-up of the environment or devices Upgrades, installation and maintenance Codeless automation tools, based on the cloud, save coding time Reduces overall testing time due to all the above factors. Scalability at its best. e.g. AWS Macie.

Cloud 74

Cloud Testing AWS Testing Tools 74

All Things Distributed

MARCH 20, 2012

Werner Vogels weblog on building scalable and robust distributed systems. s AWS Elastic Beanstalk announcement of PHP and Git support reminded me of the post where I mentioned that we want to let a thousand platforms bloom on AWS. Some might ask why AWS would want a thousand platforms. A Thousand Platforms. Comments ().

AWS 104

AWS Scalability Java Storage 104

All Things Distributed

JANUARY 11, 2011

Werner Vogels weblog on building scalable and robust distributed systems. If you sign up with the coupon code 488 they will donate part of your bill to KIKA which is an organization that supports youth cancer research. Theyre not even an AWS customer :-). Driving Storage Costs Down for AWS Customers. Comments ().

Wireless 107

Wireless AWS Internet Internet 107

Dotcom-Montior

OCTOBER 6, 2021

Site reliability engineers are focused with creating scalable and reliable software systems, so this also includes ensuring that development work is efficient and reliable, so when the finished product is ready for production, there are no surprises. It is at this junction where the site reliability engineer role comes in. On-call Support.

Engineering 67

Engineering DevOps Monitoring Google 67

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. He hasn’t changed. So many global friendships were made that continue to today.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. OpenPipeline high-performance filtering and preprocessing provides full ingest and storage control for the Dynatrace platform.

Analytics 197

Analytics Processing Transportation Storage 197

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

This dramatically simplifies application code and automatically scales its use by letting the execution platform run this code simultaneously for all stores. In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

The Morning Paper

JUNE 16, 2019

Therefore, frontend code is responsible for permission checks and privacy-preserving transformations that protect user’s data. If we do that naively though, we’re going to end up with a lot of universes to store and maintain and the storage requirements alone will be prohibitive. Recent research has provided this missing key primitive.

Database 90

Database Cache Benchmarking Efficiency 90

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. Infrastructure as a service (IaaS) handles compute, storage, and network resources. What is FaaS?

Development 255

Development Serverless Best Practices Lambda 255

All Things Distributed

DECEMBER 13, 2016

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Because container as a service doesn’t rely on a single code language or code stack, it’s platform agnostic. Easy scalability. million in 2020. The classes of CaaS. Process portability.

Serverless 221

Serverless Azure Hardware Transportation 221

Percona

FEBRUARY 24, 2023

These color-coded states on panels are available in PMM 2.32.0 PostgreSQL in the cloud CPU Considering AWS as your cloud platform of choice, the configuration made for your infrastructure will influence the performance of your application and monthly costs. Configuration of the CPU metrics can be changed in the dashboard.

Cloud 117

Cloud Serverless AWS Storage 117

High Scalability

JULY 20, 2018

Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. During our testing using the storage optimized EC2 instances (I3.2xlarge) we noticed that we were able to perform over 200K IOPS of 1K byte items thus meeting our throughput goals with latency rarely exceeding 1 millisecond.

Internet 121

Internet Internet Scalability Automotive 121

Dynatrace

DECEMBER 5, 2023

But take a look at the latest iterations of, for example, AWS Graviton2, which delivered a 40% price/performance boost, and Graviton3, which had an additional 27% price/performance improvement over Graviton2. Error logs for the process reveal a PHP syntax error with code-level information that caused the outage.

Efficiency 270

Efficiency Architecture Energy Monitoring 270

The Netflix TechBlog

DECEMBER 3, 2019

A key observation was that most of our data scientists had nothing against writing Python code. Data scientists want to retain their freedom to use arbitrary, idiomatic Python code to express their business logic?—?like The steps can be arbitrary Python code. both for compute and storage.

Open Source 232

Open Source AWS Infrastructure Energy 232

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Scalability is a major feature of GCF. Think of GCP as a suite, whereas GCF is a specialized service within it. GCF use cases.

Google 226

Google Cloud Serverless Azure 226

The Netflix TechBlog

APRIL 26, 2022

We make sure there is no training/serving skew by using the same data and the code for online and offline feature generation. The first version of our logger library optimized for storage by deduplicating facts and optimized for network i/o using different compression methods for each fact. However, Spark query execution remained slow.

Storage 187

Storage Design Scalability Latency 187

The Netflix TechBlog

DECEMBER 3, 2019

A key observation was that most of our data scientists had nothing against writing Python code. Data scientists want to retain their freedom to use arbitrary, idiomatic Python code to express their business logic?—?like The steps can be arbitrary Python code. both for compute and storage.

Open Source 134

Open Source AWS Infrastructure Energy 134

The Netflix TechBlog

OCTOBER 27, 2020

The processed data is typically stored as data warehouse tables in AWS S3. As the paved path for moving data to key-value stores, Bulldozer provides a scalable and efficient no-code solution. In this way, it allows us to provide a more traditional typed record store while keeping the key-value storage engine abstracted.

Latency 243

Latency Storage Big Data Tuning 243

All Things Distributed

APRIL 9, 2015

Once the models are created, you can get predictions for your application by using the simple API, without having to implement custom prediction generation code or manage any infrastructure. Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput.

Lambda 122

Lambda Cloud IoT AWS 122

High Scalability

SEPTEMBER 8, 2018

No, I don’t think that is because AWS is earning a 355x margin on DynamoDB! They've posted about Anna's new superpowers in Going Fast and Cheap: How We Made Anna Autoscale : Using Anna v0 as an in-memory storage engine, we set out to address the cloud storage problems described above.

Storage 199

Storage Performance AWS Efficiency 199

IO River

NOVEMBER 2, 2023

‍Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In Background‍The idea of managing infrastructure through code wasn't initiated by HashiCorp. ‍Why Manage Infrastructure by Code?‍‍If

Open Source 52

Open Source DevOps AWS Infrastructure 52

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

IO River

NOVEMBER 2, 2023

Before we dive into what Terraform is, let's begin with a real-world example of how Terraform code looks and works:‍# Challenge requests coming from known Tor exit nodes.‍‍In the example above, we're using Terraform to set up an access rule on Cloudflare. This rule challenges requests coming from known Tor exit nodes.

Open Source 40

Open Source DevOps AWS Infrastructure 40

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. Driving Storage Costs Down for AWS Customers.

Technology 151

Technology Technology AWS Storage 151

The Morning Paper

FEBRUARY 6, 2020

The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. High level architecture. Evaluation. A closing thought.

Serverless 98

Serverless Lambda Cache Latency 98

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 134

Database Logistics Availability Social Media 134