Scalegrid

APRIL 16, 2020

AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure. AWS , Azure , DigitalOcean. Are you a startup that has free AWS or Azure hosting credits you’d like to use for your database hosting? Do you want to deploy in an AWS VPC or Azure VNET?

Cloud 242

Cloud Azure AWS Database 242

SQL Performance

FEBRUARY 26, 2020

Azure SQL Database Managed Instance became generally available in late 2018. Organizations are taking advantage of having managed backups, lots of built-in security features, an uptime SLA of 99.99%, and an always up-to-date environment where they are no longer responsible for patching SQL Server or the operating system. GB per vCore.

Azure 63

Azure Performance Storage Latency 63

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Dynatrace news. A world of misunderstandings.

Automotive 270

Automotive Latency Architecture Azure 270

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency.

Design 334

Design Media Storage Logistics 334

SQL Performance

APRIL 8, 2019

These VMs are not available in all regions, so you will want to check the availability in the Azure region that you are interested in using. GHz Intel Xeon E5-2673 v3 (Haswell) processors that Microsoft uses for many of their Azure VM series. Azure Lsv2 Details. Table 1: Lsv2 Series Azure VM Specifications.

Azure 42

Azure Virtualization Storage Benchmarking 42

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? Kiosks, mobile apps, websites, and QR codes.

Cloud 157

Cloud Monitoring Latency Games 157

Dynatrace

MAY 17, 2023

Think about items such as general system metrics (for example, CPU utilization, free memory, number of services), the connectivity status, details of our web server, or even more granular in-application tasks like database queries. DNS query time indicates the average response times of DNS requests across the system.

Metrics 171

Metrics Monitoring Database Network 171

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. Integrating Existing Systems When selecting a tool for integrating a hybrid cloud, evaluating several key aspects is important. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Particular Software

OCTOBER 26, 2020

With the recent preview release of NServiceBus.Persistence.CosmosDB , you can now use Azure Cosmos DB with NServiceBus! Backed by Cosmos DB, a fully managed, globally distributed, elastically scaled, pay-as-you-go service, your NServiceBus-based systems can benefit from guaranteed single-digit-millisecond latency with 99.999% availability.

Azure 52

Azure Storage Benchmarking Latency 52

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. How do you make a system observable? Dynatrace news. But what is observability? Why is it important, and what can it actually help organizations achieve?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems. By spreading your data and apps around, you can get your systems to work together more smoothly and make the most out of your budget.

Strategy 130

Strategy Cloud Government Innovation 130

Particular Software

AUGUST 16, 2021

How do I move from Azure Tables to Cosmos DB? ?? Cosmos DB is the primary database service provided by Azure. Provisioned throughput mode also has a free tier, where one Cosmos DB account on your Azure subscription gets the first 1,000 RU/sec and 25GB of storage for free—ideal for learning something new. ?? What is Cosmos DB?

Azure 52

Azure Serverless Storage Database 52

Dynatrace

JULY 10, 2019

What Dynatrace deployment is the best fit for your technology stack, and is the OneAgent compatible with your system? With insights from Dynatrace into network latency and utilization of your cloud resources, you can design your scaling mechanisms and save on costly CPU hours. OneAgent & application metrics.

Java 137

Java Best Practices Metrics Azure 137

Scalegrid

JANUARY 12, 2024

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. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

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

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Focus on Application Development.

Serverless 57

Serverless Monitoring Lambda Latency 57

cdemi

FEBRUARY 20, 2017

Serverless systems are still in their infancy. 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. Disadvantages.

Serverless 64

Serverless Architecture Lambda Azure 64

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

VoltDB

JUNE 1, 2017

Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? If temperature-sensitive cargo in a long haul truck is about to be impacted by an erratic refrigeration system with known erratic behavior and repair history, the driver needs to be informed immediately. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

O'Reilly

NOVEMBER 12, 2019

These are not system administrators whose job it is to worry about keeping software patched, secured, and managed. latency, startup, mocking, etc.) customers who already like and use Azure or Google Cloud Platform are likely to find the same advantages hold with Azure Functions and Google Cloud Functions.

Serverless 87

Serverless Architecture FinTech Infrastructure 87

VoltDB

JUNE 1, 2017

Telcos and Fortune 500 corporations used to spend years defining custom systems, down to the last cable. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

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

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. ICDE’16 (PowerDrill is a Google internal system).

Big Data 57

Big Data Analytics Latency Azure 57

Sutter's Mill

JUNE 21, 2012

One of the slides I omitted to shorten this version of the talk highlighted that there are actually two issues when you go from “Disjoint (tightly coupled)” to “Disjoint (loosely coupled)”: reliability and latency , and both are important. (I We can and do build secure reliable global banking systems on that.

Latency 40

Latency Transportation Hardware Education 40

Percona

MAY 2, 2023

As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks. Why are MongoDB database backups important?

Best Practices 52

Best Practices Database Storage Servers 52

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. This capability is valuable for reverting to a previous state, whether to recover from data corruption or any other incident. Want to learn more?

AWS 52

AWS Database Serverless Storage 52

High Scalability

JULY 20, 2018

The third wing of the architecture piece is the “domain specific system-on-chip.” tef : You can use a message broker to glue systems together, but never use one to cut systems apart. CompSciFact : 'Fancy algorithms are slow when n is small, and n is usually small.' -- Rob Pike. There are a few more quotes.

Internet 121

Internet Internet Scalability Automotive 121

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Raw content data along with templates are version controlled using Git or similar versioning systems. can generate an HTML-only website without involving a CMS.

Systems 63

Systems Cache Website Network 63

High Scalability

DECEMBER 3, 2019

During this time, you are also likely to experience a degraded performance of queries as your system resources are busy in index-creation work as well. 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