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

Dynatrace

SEPTEMBER 13, 2023

This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments. The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

MAY 17, 2023

This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit. The other sections on that page (such as Disk analysis) provide further information and charts on topics such as available disk space, latency, dropped network packets, refused connections, and more.

Metrics 171

Metrics Monitoring Database Network 171

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. Return larger payload sizes.

Lambda 215

Lambda AWS Serverless Latency 215

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. Minimized cross-data center network traffic. For Premium HA, this has been extended from 10 ms latency (in the same network region) to around 100 ms network latency due to asynchronous data replication between regions.

Availability 247

Availability Hardware Latency Traffic 247

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. The first 5G networks are now deployed and operational.

Energy 130

Energy Latency Performance Network 130

Dynatrace

SEPTEMBER 23, 2020

Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. As a consequence, the automatic updates as well as the automatic deep-code monitoring injection processes are even more stable. Storage and network transfer of files is a measurable cost. See details below.

Storage 147

Storage Latency Operating System Network 147

Dynatrace

APRIL 6, 2022

Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. Observability can identify the baseline user experience and allow teams to improve it by optimizing page load times or reducing latency. Improve business decisions with precision analytics.

DevOps 231

DevOps Innovation Infrastructure Analytics 231

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Additionally. Ultimately improving efficiency while minimizing errors.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content. Optimizing Lambda for performance.

Lambda 180

Lambda AWS Serverless Hardware 180

Dynatrace

JUNE 8, 2020

Dynatrace Managed operates as a SaaS solution that keeps your data and data analysis on-premise in your own data center, thereby fulfilling the highest privacy and regulatory needs. Metrics are provided for general host info like CPU usage and memory consumption, OneAgent traffic, and network latency.

Software 165

Software Software Programming Metrics 165

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 4, 2021

API monitoring is the process of collecting and analyzing data about the performance of an API in order to identify problems that impact users. While synthetic monitoring and RUM gather their insights in different ways, they both facilitate a smoother application development process and end-user experience. What is API Monitoring?

Monitoring 178

Monitoring Latency Metrics Availability 178

The Netflix TechBlog

SEPTEMBER 8, 2020

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits. This meant that data that was static (e.g.

Latency 233

Latency Cache Java Traffic 233

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 203

Monitoring Social Media IoT Metrics 203

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache 251

Cache Latency Airlines Logistics 251

Percona

NOVEMBER 9, 2023

Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. These consist of the following but are not restricted to: Network policies : Establishing communication guidelines between pods provides additional protection at the network level.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

Percona

DECEMBER 26, 2023

This allows for much better data accuracy, especially in the case of high-resolution or unreliable networks. This simplifies debugging and analysis processes by enabling users to execute the same query. This allows a user to drill down into the performance of queries. tps, lat 11.718 ms stddev 3.951 progress: 4440.0

Benchmarking 125

Benchmarking Metrics C++ Database 125

Adrian Cockcroft

JANUARY 29, 2023

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

Lambda 98

Lambda Latency Cache C++ 98

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. What is Multi-CDN?A Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Dynatrace

JULY 10, 2019

This article we help distinguish between process metrics, external metrics and PurePaths (traces). If you already have the OneAgent installed, and you’d like to bring in additional process metrics into Dynatrace , the OneAgent plugin is a good fit. OneAgent & application metrics. OneAgent & cloud metrics.

Java 137

Java Best Practices Metrics Azure 137

Alex Russell

JANUARY 30, 2024

It's time once again to update our priors regarding the global device and network situation. seconds on the target device and network profile, consuming 120KiB of critical path resources to become interactive, only 8KiB of which is script. What's changed since last year? and 75KiB of JavaScript. These are generous targets.

Performance 90

Performance Network Mobile Speed 90

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. We explore all the systems necessary to make and stream content from Netflix.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

This entertaining romp through the tech stack serves as an introduction to how we think about and design systems, the Netflix approach to operational challenges, and how other organizations can apply our thought processes and technologies. We explore all the systems necessary to make and stream content from Netflix.

AWS 100

AWS Entertainment Open Source Benchmarking 100

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. What is Multi-CDN?A Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

Smashing Magazine

AUGUST 3, 2023

However, achieving a good LCP score is often a multi-faceted process that involves optimizing several stages of loading and rendering. You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side. The reportWebVitals function.

Performance 74

Performance Cache Traffic Metrics 74

Adrian Cockcroft

JANUARY 20, 2023

switches to connect processing nodes, pooled memory and I/O resources into very large coherent fabrics within a rack, and use Ethernet between racks. Most of the top supercomputers are similar to Frontier, they use AMD or Intel CPUs, with GPU accelerators, and Cray Slingshot or Infiniband networks in a Dragonfly+ configuration.

Architecture 52

Architecture Latency Benchmarking AWS 52

ScaleOut Software

JULY 19, 2021

This data is also periodically uploaded to a data lake for offline batch analysis that calculates key statistics and looks for big trends that can help optimize operations. The list goes on. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices?

IoT 78

IoT Analytics Big Data Architecture 78

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

Percona

JUNE 22, 2023

long_query_time: Defines the threshold for query execution time, and queries taking longer than this threshold are considered slow and logged for further analysis innodb_buffer_pool_size: Sets the size of the InnoDB buffer pool. The point we’re making here is they are critical for MySQL Performance.

Performance 106

Performance Monitoring Traffic Database 106

ACM Sigarch

MARCH 18, 2019

This Part 1 discusses Bottleneck Analysis and Little’s Law, while Part 2 presents the M/M/1 Queue. This post discusses Bottleneck Analysis and Little’s Law, while Part 2 touts the M/M/1 Queue. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency? Bottleneck Analysis.

Systems 60

Systems Latency Performance Analytics 60

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

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. What is cloud migration?

Cloud 165

Cloud Traffic Best Practices Strategy 165

IO River

NOVEMBER 15, 2023

The OSI Model is like a layer cake of how data moves through networks. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 52

Traffic Network Logistics Architecture 52

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

The Morning Paper

MAY 12, 2019

The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. The top line shows the change in tail latency across a set of monolithic applications as operating frequency decreases. Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61