Scalegrid

JANUARY 8, 2024

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. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Data lakehouses deliver the query response with minimal latency. Data management.

Artificial Intelligence 218

Artificial Intelligence Storage Analytics Government 218

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. The public cloud provides flexibility and cost efficiency through utilizing a provider’s resources. These include on-premises data centers which offer specific business benefits.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. This solution offers a streamlined method for managing databases across a variety of platforms, ensuring efficient operation.

Strategy 130

Strategy Cloud Government Innovation 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 110

Performance Latency Cache Virtualization 110

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. This is also true for Kubernetes and containers that can spin up and down in seconds.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience.

Cloud 172

Cloud Traffic Best Practices Strategy 172

cdemi

FEBRUARY 20, 2017

Cost - Serverless Computing is more cost-efficient than having a fixed quantity of servers. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Azure Functions don't have this restriction, but on AWS Lambda, functions are not allowed to run for longer than 5 minutes. Advantages. Disadvantages.

Serverless 64

Serverless Architecture Lambda Azure 64

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

VoltDB

JUNE 1, 2017

Latency Optimizers” – need support for very large federated deployments. 5G expects a latency of 1ms , which considering that the speed of light means the data center can’t be more than 186 miles away, or 93 miles for a round trip, assuming an instant response. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

The Morning Paper

SEPTEMBER 8, 2019

We have implemented support for query time sampling in production big-data clusters at Microsoft: these clusters consist of tens of thousands of multi-core, multi-disk servers and are used by developers from many different businesses including Bing, Azure, and Windows. Approximate query support. Implementation. What next?

Big Data 57

Big Data Analytics Latency Azure 57

VoltDB

JUNE 1, 2017

Latency Optimizers” – need support for very large federated deployments. 5G expects a latency of 1ms , which considering that the speed of light means the data center can’t be more than 186 miles away, or 93 miles for a round trip, assuming an instant response. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

ScaleOut Software

JULY 19, 2021

Since big data analyses can take minutes or hours to run, they are typically used to look for big trends, like the fuel efficiency and on-time delivery rate of a trucking fleet, instead of emerging issues that need immediate attention. These limitations create an opportunity for real-time device tracking to fill the gap.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. RDS, it’s vital to understand your specific needs and usage patterns to determine the most cost-effective option that will work for you.

AWS 52

AWS Database Serverless Storage 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

Abhishek Tiwari

NOVEMBER 3, 2018

Using CDN for the whole website, you can offload most of the website traffic to your CDN which will handle not only large traffic spikes but also reduce the latency of content delivery. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems 63

Systems Cache Website Network 63