Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. Latency is the time that it takes a request to be served. Reliability.

Software 265

Software Software Benchmarking Latency 265

Dynatrace

MAY 31, 2023

By automating and accelerating the service-level objective (SLO) validation process and quickly reacting to regressions in service-level indicators (SLIs), SREs can speed up software delivery and innovation. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity.

Best Practices 225

Best Practices DevOps Latency Metrics 225

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

MARCH 16, 2023

Monitors signals The first attribute of a good SLO is the ability to monitor the four “golden signals”: latency, traffic, error rates, and resource saturation. Includes the end user While SLOs for back-end silos and processes help eliminate internal issues, back-end-based objectives tell only half the story.

DevOps 217

DevOps Latency Metrics Traffic 217

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

AUGUST 30, 2021

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. As such, we can see that the traffic load on the Device Management Platform’s control plane is very dynamic over time.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

MAY 19, 2022

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs? Saturation.

Automotive 272

Automotive Latency Architecture Azure 272

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Higher latency and cold start issues due to the initialization time of the functions. The elasticity of serverless services helps organizations scale as needed.

Serverless 209

Serverless Lambda Azure AWS 209

DZone

JULY 6, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. For external reasons, application traffic may surge and increase the pressure on the cluster. Ideally, a TiDB cluster should always be efficient and problem-free. However, reality is often unsatisfactory.

Open Source 130

Open Source Latency Traffic Analytics 130

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. We use metaflow.Table to resolve all input shards which are distributed to Metaflow tasks which are responsible for processing terabytes of data collectively.

Systems 226

Systems Media Cache Open Source 226

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. Replay Testing Enter replay testing.

Latency 233

Latency Cache Java Traffic 233

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 167

Cloud Traffic Best Practices Strategy 167

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. The validation process is automated based on events that occur, while the objectives’ configuration, which is validated by the Site Reliability Guardian , is stored in a separate file.

Best Practices 191

Best Practices Code Infrastructure Latency 191

The Netflix TechBlog

OCTOBER 19, 2020

Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. The process started with manual pull of member account information that was part of the session.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. This is where Content Delivery Networks (CDNs) come into play.

Cache 52

Cache Social Media Website Performance Website 52

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

Dynatrace

JUNE 8, 2020

Metrics are provided for general host info like CPU usage and memory consumption, OneAgent traffic, and network latency. CPU usage and suspension rates for cluster node processes (namely Server, Cassandra, (embedded) ActiveGate, and Elasticsearch) are also visualized.

Software 165

Software Software Programming Metrics 165

Adrian Cockcroft

JANUARY 29, 2023

There is no way to model how much more traffic you can send to that system before it exceeds it’s SLA. Every opportunity for delay due to more work than the best case or more time waiting than the best case increases the latency and they all add up and create a long tail. Mu is the mean of each component, the latency.

Lambda 98

Lambda Latency Cache C++ 98

Alex Russell

FEBRUARY 28, 2022

Input is received and processed. The chief effect of the architectural difference is to shift the distribution of latency within the loop. Improving latency for one scenario can degrade it in another. One of these is better, and it isn't the experience of the "modern" style. Progress indicators are displayed.

Performance 104

Performance Latency Architecture Network 104

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

APRIL 26, 2022

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). What DEM and business observability mean for the bottom line.

Monitoring 205

Monitoring Social Media IoT Metrics 205

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. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This means that subsequent requests for the same content can be served directly from the cache, eliminating the need for additional server-side processing. This is where Content Delivery Networks (CDNs) come into play.

Cache 52

Cache Social Media Website Performance Website 52

Dynatrace

JULY 6, 2020

Azure Traffic Manager. Azure HDInsight is a fully-managed cloud service on Azure that makes it easy to process massive amounts of data in hyper-scale environments. We’re in a process of adding support for new cloud services in bulk. Azure Batch. Azure DB for MariaDB. Azure DB for MySQL. Azure DB for PostgreSQL.

Azure 148

Azure Cloud Big Data Virtualization 148

Speed Curve

FEBRUARY 5, 2024

desc="Time to process request at origin" NOTE: This is not a new API. Latency – How much time does it take to deliver a packet from A to B. For example, processing of web application firewall (WAF) rules, detecting bots or other malicious traffic though security services, and growing in popularity, edge compute.

Servers 57

Servers Cache Retail Benchmarking 57

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 102

Performance Monitoring Traffic Database 102

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

Dotcom-Montior

NOVEMBER 11, 2020

Another factor is that serverless applications are distributed, and sometimes across different cloud platforms, making it difficult to manage in the process. However, when the time comes for resources to be requested, there can be latency in the time it takes to for that code to start back up. Security & Privacy.

Serverless 57

Serverless Monitoring Lambda Latency 57

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Wednesday?—?December

AWS 100

AWS Entertainment Open Source Benchmarking 100

ScaleOut Software

JULY 19, 2021

As shown in the following diagram, a typical analytics system receives messages from a message hub, such as Kafka, which buffers incoming messages from the data sources until they can be processed. The complex web of communicating devices that surrounds us needs intelligent, real-time device tracking to extract its full benefits.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

NOVEMBER 26, 2013

Cross Region Read Replicas also enable you to serve read traffic for your global customer base from regions that are nearest to them. Joel told us that prior to using this feature it used to take them several days and manual steps to set up a similar disaster recovery process.

Cloud 147

Cloud AWS Traffic Latency 147

Dynatrace

JUNE 1, 2023

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

JUNE 1, 2023

Response time Response time refers to the total time it takes for a system to process a request or complete an operation. This ensures that customers can quickly navigate through product listings, add items to their cart, and complete the checkout process without experiencing noticeable delays. or above for the checkout process.

Latency 179

Latency Website Traffic Virtualization 179

Dynatrace

AUGUST 25, 2023

These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success. Performance typically addresses response times or latency aspects and contributes to the four golden signals. This is what Dynatrace captures as response time.

Performance 176

Performance Latency Traffic Metrics 176

HammerDB

OCTOBER 23, 2023

With a simple example such as this, it would not necessarily be expected for the additional network traffic to be significant between the 2 approaches. the time in the NET_RX Soft IRQ utilising 5% of the available CPU where the main function is net_rx_action which processes the data flow. On MySQL, we saw a 1.5X performance advantage.

Benchmarking 62

Benchmarking Database Network C++ 62

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. DSPs need to find out the best route to an impression, and will steer traffic towards the best pricing available.

Performance 40

Performance Hardware Latency Infrastructure 40