Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. 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.

Open Source 340

Open Source Java Operating System Programming 340

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. Performance is mission-critical to these organizations. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years.

Infrastructure 196

Infrastructure Monitoring Virtualization Serverless 196

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. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics.

Analytics 178

Analytics Storage Retail Monitoring 178

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 140

Performance Latency Hardware Storage 140

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

AUGUST 28, 2020

Fully automated observability into your Azure multi-cloud environment. You can integrate Dynatrace with Azure for intelligent monitoring of services running in Azure Cloud. Azure Data Lake Storage Gen1. Simplify cloud operations with full visibility into your Azure Automation accounts. Azure Logic Apps. Azure Event Grid.

Azure 153

Azure Cloud Tuning Monitoring 153

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 182

Infrastructure Open Source Operating System Cloud 182

Dynatrace

JULY 25, 2022

Dynatrace has added support for the newly introduced Amazon Virtual Private Cloud (VPC) Flow Logs for AWS Transit Gateway. Dynatrace is a leader in cloud observability. Automate cloud operations and trigger remediation workflow to enhance efficiency. What is AWS Transit Gateway? Why Dynatrace?

AWS 214

AWS Transportation Network Traffic 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.

Performance 54

Performance Benchmarking Cache Storage 54

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 traffic data aggregation and filtering for on-premises, cloud, and hybrid networks.

Traffic 264

Traffic Network Infrastructure Artificial Intelligence 264

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. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Here are a few of the most popular. Amazon EC2. Amazon CloudWatch.

Best Practices 208

Best Practices AWS Monitoring Serverless 208

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. Cloud provider/infrastructure layer.

Virtualization 160

Virtualization Infrastructure Monitoring Cloud 160

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

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

All Things Distributed

JULY 19, 2012

Expanding The Cloud â?? High Performance I/O Instances for Amazon EC2. AWS customers are bringing their most demanding workloads onto the cloud. These include the likes of high performance computation, for which we introduced the Cluster Compute and Cluster GPU instance types. By Werner Vogels on 19 July 2012 12:00 AM.

Cloud 129

Cloud Performance AWS Virtualization 129

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. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. Endpoint monitoring (EM).

Monitoring 200

Monitoring Social Media IoT Metrics 200

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

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 56

Storage Cache C++ Virtualization 56

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

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. What’s next? Just collecting more data is not enough.

AWS 208

AWS Strategy Storage Metrics 208

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Log Agent Installation – Collects logs from the virtual machines. Hybrid and multi-cloud platform –.

Azure 136

Azure Artificial Intelligence Metrics Innovation 136

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. What’s next? Just collecting more data is not enough.

AWS 147

AWS Strategy Storage Metrics 147

DZone

JULY 19, 2023

To address this need, the integration of cloud computing and virtualization has emerged as a groundbreaking solution as these technologies boast scalability and flexibility, entirely transforming the operational landscape. Enel migrated its legacy IT systems to a hybrid cloud model. billion by 2025.

Virtualization 130

Virtualization Scalability Energy Cloud 130

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 220

Cloud Monitoring Best Practices Infrastructure 220

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? 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. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The ProRes codec family provides great editing performance and image quality.

Cloud 237

Cloud Media Storage Cache 237

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. Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises.

IoT 78

IoT Analytics Big Data Architecture 78

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. Then we perform frequent batch ETL from application databases to a data warehouse. Classic ETL. Stateless and elastic. Different audience.

Big Data 40

Big Data Retail Storage Google 40

The Morning Paper

FEBRUARY 18, 2020

Providing complete and usable third-party solutions is non-trivial (otherwise the cloud vendors would already have done it). " Training in the cloud and the need for much better governance are both pretty uncontroversial directions. ." But model inference migrating into the DBMS is a bolder prediction.

Government 95

Government Software Engineering Storage Database 95

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 218

Google Cloud Serverless Azure 218

Scalegrid

JULY 8, 2019

So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. In this post, we outline the best way to host MySQL on Azure , including managed solutions, instance types, high availability replication, backup, and disk types to use to optimize your cloud database performance. Azure Virtual Networks.

Azure 219

Azure Cloud Virtualization Database 219

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. At Netflix, we've been using these technologies as they've been made available for instance types in the AWS EC2 cloud. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

HammerDB

DECEMBER 5, 2020

The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint. Fully audited configurations would require multiple racks of I/O capacity to reach maximum CPU performance.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. portability between cloud and on-premises. faster access to external storage and data locality (I/O, bandwidth). overall performance comparable to bare metal.

Big Data 63

Big Data Storage Benchmarking Hardware 63