Dynatrace

JULY 6, 2020

With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. Azure Virtual Network Gateways. Dynatrace news.

Azure 146

Azure Cloud Big Data Virtualization 146

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

Dynatrace

SEPTEMBER 18, 2020

It’s cliched to say that cloud adoption has changed everything in this race, but a full understanding of the intricacies of cloud-native applications is still rare. Cloud-based application architectures commonly leverage microservices. High latency or lack of responses. Soaring number of active connections.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance. Dynatrace can help.

Engineering 252

Engineering DevOps Government Latency 252

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

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

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance. Dynatrace can help.

Engineering 173

Engineering DevOps Government Latency 173

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

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. CXL-based disaggregated memory provides a new opportunity with two orders of magnitude better performance than RDMA (as illustrated in Figure 2).

Latency 52

Latency Hardware Cache Architecture 52

Adrian Cockcroft

AUGUST 1, 2022

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52

AWS Virtualization DevOps Latency 52

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

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Again, the benefit being that the code within your containers or virtual machines is managed by the cloud provider. When code isn’t in use, the cloud providers typically throttle it all the way down.

Serverless 57

Serverless Monitoring Lambda Latency 57

Testsigma

DECEMBER 12, 2020

There are a lot of ways to perform cross-browser testing but the most efficient is to go for a cloud-based tool such as Testsigma. How To Perform Cross-Browser Testing on Every Combination? Installing dedicated systems or going for virtual environments is a hectic job and will dig deep into your pockets.

Testing 53

Testing Operating System Website Latency 53

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

The Netflix TechBlog

NOVEMBER 9, 2022

While we understand it’s virtually impossible to achieve a linear increase in throughput as the number of vCPUs grow, a near-linear increase is attainable. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.” This was our starting point for troubleshooting.

Hardware 363

Hardware Cache Performance Latency 363

HammerDB

OCTOBER 23, 2023

However, with more complex application logic this network round trip soon becomes a key focus area for improving performance. The data shows a scripted automated workload running a number of back to back tests each time with an increasing number of virtual users. performance advantage in favour of stored procedures and on MariaDB a 1.3X

Benchmarking 62

Benchmarking Database Network C++ 62

Testsigma

AUGUST 24, 2020

Similarly, it helps to have a real-time dashboard for performance which depicts the performance metrics over a period of time rather than digging into logs and code-profiler reports every time you want to check on a product’s performance. Also, if you use a tool hosted on the cloud-like Testsigma.

Testing 69

Testing Open Source Scalability Latency 69

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

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.

Hardware 56

Hardware Latency Virtualization Cloud 56

VoltDB

DECEMBER 8, 2017

Virtualization of appliances and systems is seen as a necessary step to add the agility to meet these increasing and evolving service demands. Is there an initiative to define a consensus on what “cloud native” means when evaluating virtual network functions? Nokia already has a cloud-native approach.

Latency 40

Latency Virtualization Cloud Software Engineering 40

VoltDB

DECEMBER 8, 2017

Virtualization of appliances and systems is seen as a necessary step to add the agility to meet these increasing and evolving service demands. Is there an initiative to define a consensus on what “cloud native” means when evaluating virtual network functions? Nokia already has a cloud-native approach.

Latency 40

Latency Virtualization Cloud Software Engineering 40

ScaleOut Software

JULY 19, 2021

Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises. Most analytics systems have event dashboards and perform rudimentary real-time processing, which may include filtering an aggregated incoming message stream and extracting patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

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.

Hardware 40

Hardware Latency Virtualization Cloud 40

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. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. better.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. Pipeline reliability and performance go hand in hand. If tuned for performance, there is a good change reliability is compromised - and vice versa.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. 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.

Serverless 242

Serverless Efficiency Lambda Azure 242

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 Droplets.

Azure 187

Azure AWS Latency Database 187

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. Opting for synchronous replication within distributed storage brings about reinforced consistency and integrity of data, but also bears higher expenses than other forms of replicating data.

Storage 130

Storage Systems Big Data Azure 130

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. overall performance comparable to bare metal. Performance. better cluster resource utilization.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Dynatrace

JANUARY 13, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about a user’s interaction with an application. IT teams can deploy synthetic agents in different geographical regions, so you can detect variations in application performance based on geolocation. What is real user monitoring?

Monitoring 176

Monitoring Latency Mobile Best Practices 176

Brendan Gregg

SEPTEMBER 25, 2021

These strange questions came to the fore back in 2014 when Netflix was switching services from CentOS Linux to Ubuntu, and I helped debug several weird performance issues including one I'll describe here. A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. How would you _time_ time?

Speed 126

Speed Java AWS Virtualization 126

Dynatrace

MAY 27, 2021

ECS anywhere targets the following use cases: Hybrid – Run workloads on cloud and on-premises in a consistent manner. As a result, ECS Anywhere delivers the same operational models for on-prem and the cloud. Customer Data Center – Hosts and Virtual Machines. Modernization – Containerize existing on-premises applications.

AWS 131

AWS IoT Virtualization Infrastructure 131

All Things Distributed

SEPTEMBER 3, 2013

Today, we added two important choices for customers running high performance apps in the cloud: support for Redis in Amazon ElastiCache and a new high memory database instance (db.cr1.8xlarge) for Amazon RDS. Today, we are further expanding the choices available for designing and developing highly scalable and high performance apps.

Cache 129

Cache Cloud Performance Retail 129

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. OneAgent & cloud metrics. Dynatrace provides out-of-the-box support for VMware, AWS, Azure, Pivotal Cloud Foundry, and Kubernetes.

Java 136

Java Best Practices Metrics Azure 136

Brendan Gregg

SEPTEMBER 25, 2021

These strange questions came to the fore back in 2014 when Netflix was switching services from CentOS Linux to Ubuntu, and I helped debug several weird performance issues including one I'll describe here. A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. How would you time time?

Speed 52

Speed Java AWS Virtualization 52

The Netflix TechBlog

MAY 5, 2021

A file and folder interface for Netflix Cloud Services Written by Vikram Krishnamurthy , Kishore Kasi , Abhishek Kapatkar , and Tejas Chopra In this post, we are introducing Netflix Drive, a Cloud drive for media assets and providing a high level overview of some of its features and interfaces.

Media 174

Media Storage Architecture Cloud 174

Brendan Gregg

SEPTEMBER 25, 2021

These strange questions came to the fore back in 2014 when Netflix was switching services from CentOS Linux to Ubuntu, and I helped debug several weird performance issues including one I'll describe here. A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. How would you _time_ time?

Speed 40

Speed Java AWS Virtualization 40