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! Or even on a plane.

Performance 110

Performance Latency Cache Virtualization 110

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Peak performance analysis. Cold storage and rehydration. Cold storage and rehydration. Fault isolation. Indexing overhead.

Analytics 214

Analytics Storage Retail DevOps 214

HammerDB

APRIL 19, 2023

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. For storage, FIO is generally used.

Performance 54

Performance Benchmarking Cache Storage 54

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

DZone

MARCH 19, 2021

Virtual machine images are examples of spare files. For instance, when I create a VirtualBox machine and assign it a maximum storage of 100Gb, only the storage corresponding to the actual data in the machine is consumed. Reading a hole returns a null byte.

Storage 219

Storage Virtualization Systems Performance 219

DZone

APRIL 26, 2019

In the era of Digital Transformation (DX) the IT landscape has expanded to environments that rely extensively on virtualization, hyper-converged infrastructure (HCI), and cloud computing. As a result, the number of servers and the quantity of traffic have been exploding exponentially.

Azure 145

Azure Traffic Virtualization Performance 145

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. Peak performance analysis. Cold storage and rehydration. Cold storage and rehydration. Fault isolation. Indexing overhead.

Analytics 181

Analytics Storage Retail DevOps 181

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 199

Infrastructure Monitoring Virtualization Serverless 199

SQL Performance

FEBRUARY 26, 2020

Managed Instance provides two tiers for performance. The General Purpose tier is designed for applications with typical performance and I/O latency requirements and provides built-in HA. Each service tier supports anywhere from 4 to 80 logical CPUs — also known as virtual cores, or vCores. One size does not always fit all.

Azure 63

Azure Performance Storage Latency 63

Dynatrace

OCTOBER 1, 2020

Applications and services are often slowed down by under-performing DNS communications or misconfigured DNS servers, which can result in frustrated customers uninstalling your application. Identify under-performing DNS servers. Network device visibility (hosts, switches, routers, storage devices). Average query response time.

Traffic 264

Traffic Network Infrastructure Artificial Intelligence 264

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Accordingly, the remaining 27% of clusters are self-managed by the customer on cloud virtual machines.

Open Source 342

Open Source Java Operating System Programming 342

DZone

JULY 10, 2019

In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance. But to get the best performance, like any technology stack, you need to follow the best practices. A Note on Data Locality.

Best Practices 133

Best Practices Latency Storage Tuning 133

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JULY 25, 2022

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs.

AWS 217

AWS Transportation Network Traffic 217

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work?

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

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

Percona

DECEMBER 23, 2022

I wrote this post on MyRocks because I believe it is the most interesting new MySQL storage engine to have appeared over the last few years. The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes.

Storage 55

Storage Cache C++ Virtualization 55

Dynatrace

APRIL 26, 2022

Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs. PC, smartphone, server) or virtual (virtual machines, cloud gateways). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. Amazon’s AWS monitoring and observability service, CloudWatch, monitors applications, resource usage, and system-wide performance for AWS-hosted environments.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

Dynatrace

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

Percona

MARCH 13, 2023

There is a section in our Documentation ( Introduction to Serverless PostgreSQL ) and a short overview of the primary components: Page Server The storage server with the primary goal of storing all data pages and WAL records Safe Keeper A component to store WAL records in memory (to reduce latency).

Serverless 116

Serverless C++ Storage Latency 116

Brendan Gregg

JULY 4, 2021

It's an exciting time for developments in computer performance, not just for the BPF technology (which I often [write about]) but also for processors with 3D stacking and cloud vendor CPUs (e.g., This was a chance to talk about other things I've been working on, such as the present and future of hardware performance.

Performance 52

Performance Latency Hardware Storage 52

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. A producer creates the message, and a consumer processes it.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. A producer creates the message, and a consumer processes it.

Monitoring 198

Monitoring Serverless Programming Speed 198

Scalegrid

NOVEMBER 12, 2019

The popular choices are DNS mapping, virtual IP mapping, PgPool and HAProxy. In the case where a proxy is introduced in the data path, there is also a considerable performance impact. If you have a large number of updates, insert and delete workloads, your pages will end up fragmented, affecting your performance.

Database 184

Database Open Source Storage Servers 184

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Microsoft has helped simplify things by creating multiple types of virtual machines. Generation.

Azure 76

Azure Benchmarking Storage Virtualization 76

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. Dynatrace news. Just collecting more data is not enough.

AWS 212

AWS Strategy Storage Metrics 212

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 97

Monitoring Scalability Cache Database 97

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

All Things Distributed

JULY 19, 2012

High Performance I/O Instances for Amazon EC2. These include the likes of high performance computation, for which we introduced the Cluster Compute and Cluster GPU instance types. These include the likes of high performance computation, for which we introduced the Cluster Compute and Cluster GPU instance types. Comments ().

Cloud 129

Cloud Performance AWS Virtualization 129

Dynatrace

NOVEMBER 5, 2019

Microsoft offers a wide variety of tools to monitor applications deployed within Microsoft Azure, and the Azure Monitor suite includes several integration points into the enterprise applications, including: VM agent – Collects logs and metrics from the guest OS of virtual machines. Available as an agent installer). Migrating to the cloud.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Dynatrace

AUGUST 28, 2020

Azure Data Lake Storage Gen1. Manual tasks like shutting down virtual machines in bulk or creating database backups can be error prone. Understand the performance and status of Azure Logic Apps workflows. Azure Logic Apps. Azure Container Instance. Azure Data Factory v1. Azure Data Factory v2. Azure Data Lake Analytics.

Azure 155

Azure Cloud Tuning Monitoring 155

Dynatrace

MAY 26, 2021

From May 17 to May 18, 2021, the Open-Source Engineering team at Dynatrace attended the virtual observability conference, o11yfest. Trace-based sampling can help you save storage costs. This can help you save money in storage costs in the long run. Dynatrace news. Just collecting more data is not enough.

AWS 147

AWS Strategy Storage Metrics 147

Percona

DECEMBER 20, 2018

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

Database 40

Database Tuning Performance AWS 40

Dynatrace

JULY 29, 2021

Using existing storage resources optimally is key to being able to capture the right data over time. This decompression of data is achieved with minimal impact on performance and costs. Compression of data that’s older than three days utilizes one virtual CPU. Increased storage space availability.

Storage 197

Storage Virtualization Infrastructure Availability 197

Testsigma

JULY 3, 2021

If you’ve been performing on-premise testing in your organization, you know the rules already. But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. As the name suggests, it happens on-premise. Photo by freestocks on Unsplash.

Cloud 57

Cloud Testing Storage DevOps 57

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78