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

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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

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. Improved performance and availability. The third big advantage of cloud migration is performance and availability.

Cloud 163

Cloud Traffic Best Practices Strategy 163

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. For workloads that require high performance, organizations would be better suited by purchasing their own servers. The time it takes between an action and a response is latency. 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. On Public Clouds: Microsoft: Azure Functions.

Serverless 64

Serverless Architecture Lambda Azure 64

cdemi

DECEMBER 4, 2016

If the service is subjected to intermittent heavy loads, it can cause performance or reliability issues. Azure Service Bus - The Go-To choice if you're already on Azure, High Throughput, Predictable Performance, Predictable Pricing, Secure, Scalable on Demand.

Design 47

Design Azure Scalability Latency 47

Scalegrid

NOVEMBER 25, 2019

ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. In fact, according to ScyllaDB’s performance benchmark report, their 99.9 percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal. So this type of performance has to come at a cost, right?

Big Data 187

Big Data Database Open Source Azure 187

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 Advantages for MongoDB.

Azure 187

Azure AWS Latency Database 187

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. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Pay Per Use.

Serverless 242

Serverless Efficiency Lambda Azure 242

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance. The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

Scalegrid

MARCH 14, 2024

Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands. This evaluation should also consider possible cost reductions and enhancements in performance that could be realized within the cloud environment.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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? Seeing the smoke before the fire starts.

Cloud 156

Cloud Monitoring Latency Games 156

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. This will get us straight to the application page, where we get more insight on how our front end actually performs.

Metrics 168

Metrics Monitoring Database Network 168

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 ? These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

Dynatrace

JULY 10, 2019

With this approach, you can add any relevant metric(s) from your process to Dynatrace, and then chart it, alert on it, or correlate it with your process’ performance. 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.

Java 136

Java Best Practices Metrics Azure 136

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. The performance of these queries needs to be at a level where they can support ad-hoc analytics use cases. Data lakehouses deliver the query response with minimal latency.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

High Scalability

JULY 20, 2018

This is where your performance goes. A typical example of modern "microservices-inspired" Java application would function along these lines: Netflix : We observed during experimentation that RAM random read latencies were rarely higher than 1 microsecond whereas typical SSD random read speeds are between 100–500 microseconds.

Internet 121

Internet Internet Scalability Automotive 121

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. These crucial elements act as conductors in a symphony, coordinating the performance of all aspects related to cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 1, 2021

Because cloud services rely on a uniquely distributed and dynamic architecture, observability may also sometimes refer to the specific software tools and practices businesses use to interpret cloud performance data. Observability enables you to understand what is slow or broken and what needs to be done to improve performance.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Percona

MAY 2, 2023

PBM is a fully-supported community backup tool capable of performing cluster-side consistent backups in MongoDB for replica sets and sharded clusters. Best practice tip : It is always advisable to use secondary servers for backups to avoid unnecessary performance degradation on the PRIMARY node.

Best Practices 52

Best Practices Database Storage Servers 52

High Scalability

DECEMBER 3, 2019

By having appropriate indexes on your MySQL tables, you can greatly enhance the performance of SELECT queries. 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.

Best Practices 21

Best Practices Performance Systems Processing 21

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

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 I also mentioned this in the original WttJ article this is based on; just search for “reliability.”).

Latency 40

Latency Transportation Hardware Education 40