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 193

Infrastructure Latency Metrics Analytics 193

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. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Dynatrace can help.

Engineering 256

Engineering DevOps Government Latency 256

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

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. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Dynatrace can help.

Engineering 178

Engineering DevOps Government Latency 178

Dynatrace

APRIL 26, 2022

With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings. STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables).

Monitoring 206

Monitoring Social Media IoT Metrics 206

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., Ford, et al., “TCP on Upcoming Sapphire Rapids CPUs,” [link] Oct 2020 - [Liu 20] Linda Liu, “Samsung QVO vs EVO vs PRO: What’s the Difference?

Performance 140

Performance Latency Hardware Storage 140

All Things Distributed

OCTOBER 16, 2019

Already, IoT is delivering deep and precise insights to improve virtually every aspect of our lives. Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning.

IoT 126

IoT Healthcare Internet Internet 126

ACM Sigarch

MAY 31, 2023

There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. Berger (Microsoft) shared the state of memory systems in the public cloud and projected two use cases of CXL-based disaggregated memories in the cloud ( IEEE Micro and ASPLOS’23 ).

Latency 52

Latency Hardware Cache Architecture 52

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 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

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., Ford, et al., “TCP on Upcoming Sapphire Rapids CPUs,” [link] Oct 2020 - [Liu 20] Linda Liu, “Samsung QVO vs EVO vs PRO: What’s the Difference?

Performance 52

Performance Latency Hardware Storage 52

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. Uploading and downloading data always come with a penalty, namely latency. Supporting those workflows poses new challenges to our packaging service.

Cloud 237

Cloud Media Storage Cache 237

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. Installing dedicated systems or going for virtual environments is a hectic job and will dig deep into your pockets. Manual processes include setting your own lab or virtual systems etc.

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

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

Testsigma

AUGUST 24, 2020

Maintaining test data in a central repository and then accessing it from different test environments may ease this problem but may introduce other issues like network latency in tests. Leveraging Cloud-based Virtual Infrastructure: Cloud-based test environments can be made accessible instantaneously on demand.

Testing 69

Testing Open Source Scalability Latency 69

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

All Things Distributed

JANUARY 23, 2012

Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? The Amazon Virtual Private Cloud extends on-premises compute with all the power of AWS, making it elastic, scalable and highly reliable.

Storage 116

Storage AWS Virtualization Cloud 116

HammerDB

OCTOBER 23, 2023

The data shows a scripted automated workload running a number of back to back tests each time with an increasing number of virtual users. Using MariaDB and analysing performance at a workload of 80 Virtual Users the first place we can look at is the information schema user_statistics to quantify the difference in the database traffic.

Benchmarking 62

Benchmarking Database Network C++ 62

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. Hosted on a cluster of physical or virtual servers, it maintains memory-based state information about the history and dynamically evolving state of every data source.

IoT 78

IoT Analytics Big Data Architecture 78

Adrian Cockcroft

APRIL 18, 2018

For each resource there’s usually an underlying or bare metal version, a virtualized resource and sometimes also a containerized resource. This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

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

O'Reilly

DECEMBER 2, 2019

For applications like communication between AVs, latency–how long it takes to get a response–is more likely to be a bigger limitation than raw bandwidth, and is subject to limits imposed by physics. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

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. Every time data spikes - a phenomenon which will be not predictable in most cases - overall latency to process the data using data pipeline will go up.

Latency 63

Latency Analytics Scalability Engineering 63

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

DECEMBER 5, 2020

For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. Even with superior I/O performance today the I/O configuration required on-premise or in the cloud remains costly. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

AUGUST 16, 2011

Expanding the Cloud - The AWS GovCloud (US) Region. This new region, which is located on the West Coast of the US, helps US government agencies and contractors move more of their workloads to the cloud by implementing a number of US government-specific regulatory requirements. Cloud First. Cloud Firstâ?? Comments ().

AWS 113

AWS Government Big Data Cloud 113

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 244

Serverless Efficiency Lambda Azure 244

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. This integration enhances the flexibility of cloud services while bolstering their computational and storage functions.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 13, 2022

Virtually any application with a user interface can benefit from regular real user monitoring. Providing insight into the service latency to help developers identify poorly performing code. For example, RUM is often used to measure latency, and the relationship between longer latencies and user disengagement is well documented.

Monitoring 182

Monitoring Latency Mobile Best Practices 182

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

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. In fact, if we go by current trends containerised microservices running on Kubernetes are the future.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). We ended up setting it in the BaseAMI for all cloud services.

Speed 126

Speed Java AWS Virtualization 126