SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. Microsoft is continually working on improving their products and Azure SQL Database is no different.

Azure 55

Azure Database Serverless Hardware 55

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis.

AWS 246

AWS Efficiency Azure Cloud 246

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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.

Artificial Intelligence 208

Artificial Intelligence Storage Analytics Government 208

cdemi

FEBRUARY 20, 2017

Serverless is currently a hot topic in many modern architectural patterns. There will be many advances in the field over the coming years and it will be fascinating to see how they fit into our architectural toolkit. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Advantages. Disadvantages.

Serverless 64

Serverless Architecture Lambda Azure 64

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. Imagine you’re in a war room. So, what happens next?

Cloud 157

Cloud Monitoring Latency Games 157

High Scalability

JANUARY 11, 2022

Architecture. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. This will not only reduce the overall latency in displaying the user-feeds to users but will also prevent re-computation of user-feeds. Sending and receiving messages from other users.

Design 334

Design Media Storage Logistics 334

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. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. With a multi-cloud architecture, Scalegrid offers the flexibility and competitive edge necessary for AI applications in the rapidly evolving tech environment.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Symphonia

MAY 22, 2018

I started writing “ Serverless Architectures ” in May 2016. I also rewrote the section on Startup Latency since Cold Starts are one of the big “FUD” areas of Serverless. Lambda and Azure functions both now offer some amount of local-integration testing. I thought a few folks might be interested.

Serverless 40

Serverless Architecture Lambda Azure 40

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

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Adopting Infrastructure as Code (IaaC) makes transitioning to a multi-cloud architecture more efficient, allowing streamlined setup processes.

Strategy 130

Strategy Cloud Government Innovation 130

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. Security & Privacy.

Serverless 57

Serverless Monitoring Lambda Latency 57

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 dramatically decrease network latency and its effect on the end-user experience. Inconsistent performance.

Cloud 165

Cloud Traffic Best Practices Strategy 165

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. The management console installs as a set of Docker containers on the management server.

IoT 52

IoT Azure Analytics Healthcare 52

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. latency, startup, mocking, etc.) changing the integration landscape—at least for now. 1 in tools used.

Serverless 87

Serverless Architecture FinTech Infrastructure 87

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

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This architecture does not apply computing resources to track the myriad data sources sending telemetry and continuously look for issues and opportunities that need immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

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

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

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

cdemi

DECEMBER 4, 2016

Azure Service Bus - The Go-To choice if you're already on Azure, High Throughput, Predictable Performance, Predictable Pricing, Secure, Scalable on Demand. Apache Kafka - High-Throughput, Low-Latency, Uses Apache ZooKeeper for Distribution, Written in Scala and Java.

Design 47

Design Azure Scalability Latency 47

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. Architecture An explanatory description of Amazon Aurora’s architecture can be found in Vadim’s post written a few years ago.

AWS 52

AWS Database Serverless Storage 52

High Scalability

JULY 20, 2018

That’s mapping applications to the specific architectural choices. The third wing of the architecture piece is the “domain specific system-on-chip.” And you already see that in machine learning, where there’s a really hot field in terms of deep neural nets and other implementations.

Internet 121

Internet Internet Scalability Automotive 121

Abhishek Tiwari

NOVEMBER 3, 2018

When it comes to innovation, most of CMS solutions are constrained by their legacy architecture (read strong coupling between content management and content presentation) which makes it difficult to serve content to new types of emerging channels such as apps and devices. Gone the days when you required to have big fat-contract with Akamai.

Systems 63

Systems Cache Website Network 63