Scalegrid

JUNE 6, 2019

June 6, 2019 – ScaleGrid , the Database-as-a-Service (DBaaS) leader in the SQL and NoSQL space, has announced the expansion of their fully managed MySQL Hosting services to support Amazon Web Services (AWS) cloud. PALO ALTO, Calif., Start a free MySQL trial to see how ScaleGrid can help you optimize your deployments.

AWS 191

AWS Cloud Open Source Virtualization 191

Dynatrace

JULY 25, 2022

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. What is AWS Transit Gateway? AWS Transit Gateway is a service offering from Amazon Web Services that connects network resources via a centralized hub. Why Dynatrace?

AWS 214

AWS Transportation Network Traffic 214

Scalegrid

APRIL 16, 2020

Where you decide to host your cloud databases is a huge decision. You have to choose your hosting model, a cloud provider, and then your primary and standby regions to deploy to. What is ScaleGrid’s Bring Your Own Cloud Plan? Here are the databases and cloud providers supported through each model: Supported Databases.

Cloud 242

Cloud Azure AWS Database 242

Scalegrid

JANUARY 8, 2024

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

All Things Distributed

SEPTEMBER 14, 2020

A great example of this approach to innovation and problem solving is the creation of the AWS Nitro System (Nitro System), the underlying platform for our EC2 instances. Now, with the Nitro System, we can offer the best price performance in the cloud, the most secure environment, and a faster pace of innovation.

Virtualization 87

Virtualization AWS Systems Innovation 87

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. VA’s journey into the cloud.

Cloud 174

Cloud Infrastructure Innovation Monitoring 174

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. It coincides with the advent of complex, distributed cloud technologies such as microservices and containers. Amazon Web Services (AWS). ” What does a DevOps platform engineer do?

DevOps 187

DevOps Engineering Testing Open Source 187

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing.

Open Source 340

Open Source Java Operating System Programming 340

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

Performance 140

Performance Latency Hardware Storage 140

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

Adrian Cockcroft

FEBRUARY 9, 2023

We used this model effectively at Netflix when I was their cloud architect from 2010 through 2013. The virtualization and networking platform could be datacenter based, with something like VMware, or cloud based using one of the cloud providers such as AWS EC2.

Engineering 137

Engineering Serverless Lambda AWS 137

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. The second focused on the OTel community, with more technical talks by representatives from companies like AWS, Elastic, and more. AWS aims to support the streamlining of observability.

AWS 208

AWS Strategy Storage Metrics 208

All Things Distributed

JULY 19, 2012

Expanding The Cloud â?? High Performance I/O Instances for Amazon EC2. AWS customers are bringing their most demanding workloads onto the cloud. These include the likes of high performance computation, for which we introduced the Cluster Compute and Cluster GPU instance types. Comments (). s can be very demanding.

Cloud 129

Cloud Performance AWS Virtualization 129

HammerDB

APRIL 19, 2023

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors.

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. The second focused on the OTel community, with more technical talks by representatives from companies like AWS, Elastic, and more. AWS aims to support the streamlining of observability.

AWS 147

AWS Strategy Storage Metrics 147

Brendan Gregg

FEBRUARY 28, 2023

At USENIX SREcon22 APAC I gave the opening keynote on the future of computer performance, rounding up the latest developments and making predictions of where I see things heading. This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person!

Performance 52

Performance Latency Cache Virtualization 52

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. You haven’t detected that there’s a shortage of disk space on the virtualization host (or its shared storage).

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

Performance 52

Performance Latency Hardware Storage 52

Adrian Cockcroft

AUGUST 1, 2022

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52

AWS Virtualization DevOps Latency 52

Brendan Gregg

DECEMBER 31, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Virtual Memory. We help where we can. schedtool –B PID.

Tuning 61

Tuning AWS Best Practices Network 61

Adrian Cockcroft

JANUARY 17, 2022

My talks on Failing Over Without Falling Over are still very relevant, but AWS did finally release a key new service that implements key parts of the architecture: AWS Route 53 Application Recovery Controller. For example AWS launched an instance type with 800 Gbits/s of network bandwith in 2021. primarily virtual?—?and

Serverless 98

Serverless Hardware AWS Architecture 98

Percona

DECEMBER 23, 2022

The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. MyRocks Vs InnoDB.

Storage 56

Storage Cache C++ Virtualization 56

Brendan Gregg

DECEMBER 30, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Virtual Memory. We help where we can. schedtool –B PID.

Tuning 52

Tuning AWS Best Practices Network 52

Dynatrace

APRIL 17, 2019

If you hadn’t already heard the news, the entire Dynatrace team is immensely proud to once again been positioned as a Leader in the Gartner 2019 Magic Quadrant for Application Performance Monitoring (APM). In a sea of virtualized layers of abstraction, shared services, and dependencies, the cloud has become increasingly complex.

Innovation 132

Innovation Virtualization Cloud Azure 132

Scalegrid

MARCH 14, 2024

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. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. joins) during query processing.

Storage 112

Storage Engineering Cache Serverless 112

Percona

DECEMBER 20, 2018

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

Database 40

Database Tuning Performance AWS 40

Smashing Magazine

NOVEMBER 8, 2018

Sharing Data Among Multiple Servers Through AWS S3. Sharing Data Among Multiple Servers Through AWS S3. Note 1: For a simple functionality such as cropping avatars, another solution would be to completely bypass the server, and implement it directly in the cloud through Lambda functions. Leonardo Losoviz. Creating The Bucket.

AWS 44

AWS Servers Storage Cloud 44

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. No more having to worry about maintenance, patching, or scaling. Response Times.

Serverless 57

Serverless Monitoring Lambda Latency 57

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? 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. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

APRIL 12, 2023

The company also releases MongoDB Atlas, promoting it as the most cost-effective way to run MongoDB in the Cloud. Some might say this marked the beginning of MongoDB’s “cloud push” escalation.) The effects have hit cloud vendors who can’t possibly compete with MongoDB. ” Nothing nefarious there.

Open Source 85

Open Source Programming Database Servers 85

Testsigma

JUNE 23, 2021

Testsigma is a cloud-based test automation platform. Testsigma is completely cloud-based. You just have to sign up for a free trial account for test creation and execution and leverage its pre-configured setup integrated with Testsigma Lab (Testsigma’s cloud infrastructure). How Testsigma Helps Speed Up Software Release Cycles?

Speed 52

Speed Software Software DevOps 52

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 179

Infrastructure Cloud Azure AWS 179

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. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 218

Google Cloud Serverless Azure 218

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The ProRes codec family provides great editing performance and image quality.

Cloud 237

Cloud Media Storage Cache 237