Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

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

cdemi

FEBRUARY 20, 2017

Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Performance - Serverless Functions that are used less frequently may suffer from warmup response latency, where the infrastructure needs some time to deploy the function. Serverless can be achieved on Clouds. Amazon: AWS Lambda.

Serverless 64

Serverless Architecture Lambda Azure 64

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

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Scalegrid

NOVEMBER 25, 2019

In this post, we break down ScyllaDB cloud vs. on-premise deployments, most popular cloud providers, SQL and NoSQL databases used with ScyllaDB, most time-consuming management tasks, and why you should use ScyllaDB vs. Cassandra. ScyllaDB Cloud vs. ScyllaDB On-Premises. Most Popular Cloud Providers for ScyllaDB.

Big Data 187

Big Data Database Open Source Azure 187

VoltDB

JUNE 1, 2017

Private Clouds made of commodity hardware are perceived as the logical solution to this problem. In this case, what’s needed from a private cloud is lots of lightweight copies of what a production environment looks like, with heavy sharing of physical hardware. Latency Optimizers” – need support for very large federated deployments.

Hardware 56

Hardware Latency Virtualization Cloud 56

Dynatrace

JANUARY 26, 2021

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Serverless computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage. Pay Per Use.

Serverless 243

Serverless Efficiency Lambda Azure 243

Scalegrid

DECEMBER 16, 2019

While you may assume a great majority of the cloud database deployments are run on AWS, Azure, or Google Cloud Platform, small to medium-sized businesses in particular are gravitating towards the developer-friendly cloud provider, DigitalOcean , for their hosting for MongoDB® needs. DigitalOcean Droplets.

Azure 187

Azure AWS Latency Database 187

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. Every component has its own siloed cloud monitoring tool, with its own set of data.

Cloud 157

Cloud Monitoring Latency Games 157

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

VoltDB

JUNE 1, 2017

Private Clouds made of commodity hardware are perceived as the logical solution to this problem. In this case, what’s needed from a private cloud is lots of lightweight copies of what a production environment looks like, with heavy sharing of physical hardware. Latency Optimizers” – need support for very large federated deployments.

Hardware 40

Hardware Latency Virtualization Cloud 40

The Symphonia

MAY 22, 2018

I also rewrote the section on Startup Latency since Cold Starts are one of the big “FUD” areas of Serverless. and products like AWS Fargate have made this distinction murkier still. Finally in this first overall section it was good to be able to talk about AWS SAM and SAR?—?“Serverless Because of course it did.

Serverless 40

Serverless Architecture Lambda Azure 40

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 ? Amazon Aurora is a proprietary, cloud-native, fully managed relational database service developed by Amazon Web Services (AWS).

AWS 52

AWS Database Serverless Storage 52

Dynatrace

JULY 10, 2019

OneAgent & cloud metrics. Virtualization can be a key player in your process’ performance, and Dynatrace has built-in integrations to bring metrics about the Cloud Infrastructure into your Dynatrace environment. Dynatrace provides out-of-the-box support for VMware, AWS, Azure, Pivotal Cloud Foundry, and Kubernetes.

Java 137

Java Best Practices Metrics Azure 137

Dynatrace

MAY 17, 2023

It is available for the major OS and cloud platforms (for example, Windows, Linux, Solaris, AWS, Azure, and more) and only requires the deployment of a single service to monitor its environment. And that’s where Dynatrace OneAgent comes in. What is OneAgent?

Metrics 170

Metrics Monitoring Database Network 170

Dynatrace

OCTOBER 4, 2022

Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Data lakehouses deliver the query response with minimal latency. As a result, organizations receive context-rich observability and security data analytics in cloud-native environments.

Artificial Intelligence 207

Artificial Intelligence Analytics Storage Government 207

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

High Scalability

JULY 20, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. It would mean a great deal to me. They'll love you even more. The third wing of the architecture piece is the “domain specific system-on-chip.”

Internet 121

Internet Internet Scalability Automotive 121

O'Reilly

NOVEMBER 12, 2019

Given that Amazon’s AWS Lambda functions are only five years old this November, anyone with more than three years of experience is a very early adopter. latency, startup, mocking, etc.) The results in Figure 12 reflect what we know of the cloud market and mirror what we found in our cloud native survey from earlier in 2019.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Percona

MAY 2, 2023

Back up anywhere – to the cloud (use any S3-compatible storage) or on-premise with a locally-mounted remote file system It allows you to choose which compression algorithms to use. It also supports storing the backups on filesystem and AWS S3 buckets. root@ip-172-31-37-92 tmp]# time mongo < hot.js mongodb-27017.sock

Best Practices 52

Best Practices Database Storage Servers 52

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Sutter's Mill

JUNE 21, 2012

In the twilight of Moore’s Law, the transitions to multicore processors, GPU computing, and HaaS cloud computing are not separate trends, but aspects of a single trend—mainstream computers from desktops to ‘smartphones’ are being permanently transformed into heterogeneous supercomputer clusters.

Latency 40

Latency Transportation Hardware Education 40

High Scalability

DECEMBER 3, 2019

By having appropriate indexes on your MySQL tables, you can greatly enhance the performance of SELECT queries. But, did you know that adding indexes to your tables in itself is an expensive operation, and may take a long time to complete depending on the size of your tables?

Best Practices 21

Best Practices Performance Systems Processing 21