Dynatrace

DECEMBER 27, 2022

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. This telemetry data serves as the basis for establishing meaningful SLOs. SLOs aid decision making. SLOs promote automation. Reliability.

Software 256

Software Software Benchmarking Latency 256

The Netflix TechBlog

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. But there are more interesting cases where users want to store temporal (time-based) data or spatial data. Movie Entity with id 1234 has violence.

Scalability 283

Scalability Latency Media Architecture 283

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. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

SEPTEMBER 23, 2020

Recent improvements in OneAgent runtime-data handling. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. For example: All subfolders of the /opt directory are mounted as local, low latency, high-throughput drives, with relatively low storage capacity.

Storage 145

Storage Latency Operating System Network 145

The Netflix TechBlog

MAY 4, 2023

It can happen on an edge API system servicing customer devices, between the edge and mid-tier services, or from mid-tiers to data stores. It provides a good read on the availability and latency ranges under different production conditions.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. Maintaining reliable uptime and consistent service quality has become more complex as organizations expand their computing footprints across multiple data centers and in the cloud.

Best Practices 216

Best Practices DevOps Latency Metrics 216

Dynatrace

FEBRUARY 21, 2024

These metrics are latency, traffic, errors, and saturation, all of which must be key considerations when curating user experience. Below is a sample SRG dashboard for these signals: Latency Latency refers to the amount of time that data takes to transfer from one point to another within a system.

Speed 200

Speed Software Software Latency 200

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Load stage is to load the data and then run stage we run the test. Load is consistent for all dbs for all tests as expected as this phase is to load the data. Again Yugabyte latency is quite high.

Benchmarking 308

Benchmarking Latency C++ Database 308

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Return larger payload sizes.

Lambda 208

Lambda AWS Serverless Latency 208

Dynatrace

DECEMBER 4, 2023

Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Data quality and drift: Monitoring the quality and characteristics of training and runtime data to detect significant changes that might impact model accuracy.

Open Source 251

Open Source Latency Metrics Java 251

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. That’s a large amount of data to handle. This creates a lot of complexity given different data sources, components, and tools. of Micrometer.

Metrics 200

Metrics Latency Java Cache 200

Scalegrid

APRIL 28, 2020

Is my database cluster still highly available? All of our high availability options are offered in DigitalOcean, including 2 Replicas + 1 Arbiter, 3 Replicas and custom replica set setups. DigitalOcean does not have the concept of availability zones (AZ), so we distribute the nodes across different regions. High performance.

Azure 344

Azure AWS Database Latency 344

Dynatrace

JUNE 7, 2023

This is achieved by using OpenAI services to compute numerical representations of text data that ease the computation of text similarity, called “embeddings,” for the documents as well as for the user input. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 159

Monitoring Latency Metrics Azure 159

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Therefore, we have redesigned this extension from scratch, replacing the previously available WMI-based extension. What is Microsoft Hyper-V? We’re always looking for feedback and opportunities to improve.

Efficiency 206

Efficiency Virtualization Hardware Performance 206

Scalegrid

OCTOBER 24, 2019

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. Slave-2 uses an EBS data disk, and you can configure the amount of IOPS required for your cluster.

AWS 183

AWS Latency Performance Benchmarking 183

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. By providing data relevant to both parties — such as user adoption metrics for CEOs and application crash data for CTOs — organizations can find common ground.

DevOps 207

DevOps Latency Metrics Traffic 207

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. But not all teams use the same observability data in the same way.

Development 255

Development DevOps Programming Cloud 255

CSS Wizardry

AUGUST 7, 2019

The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. TTFB isn’t just time spent on the server, it is also the time spent getting from our device to the sever and back again (carrying, that’s right, the first byte of data!).

Latency 269

Latency Ecommerce Servers Mobile 269

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. That’s a large amount of data to handle. This creates a lot of complexity given different data sources, components, and tools. of Micrometer.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

One of these solutions is Micrometer which provides 17+ pre-instrumented JVM-based frameworks for data collection and enables instrumentation code with a vendor-neutral API. That’s a large amount of data to handle. This creates a lot of complexity given different data sources, components, and tools. of Micrometer.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

NOVEMBER 9, 2023

Nutanix overview dashboard The extension automatically gathers real-time performance data from your Nutanix clusters to monitor resource usage, cluster health, and more, all in one place. This helps IT teams quickly identify and troubleshoot problems, reducing downtime and ensuring the availability of critical applications.

Virtualization 185

Virtualization Storage Metrics Monitoring 185

All Things Distributed

JUNE 7, 2017

Unlocking the value of data is a primary goal that AWS helps our customers to pursue. In recent years, an explosion of intelligent devices have created oceans of new data across many industries. This is because data gets more valuable when it can be processed together with other data. Law of Economics. Law of the Land.

AWS 118

AWS IoT Lambda Storage 118

The Morning Paper

NOVEMBER 24, 2019

Mergeable replicated data types Kaki et al., Mergeable Replicated Data Types (MRDTs) are in the same spirit as CRDTs but with the very interesting property that they compose. To ensure low-latency and high availability (or even just the ability to work when offline) we want to be able to operate locally and independently on data types.

Strategy 104

Strategy Latency Systems Processing 104

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. This view shows the availability SLO for key application functions, like login and vehicle list, as well as a large set of timeframes, like last 30 minutes, last hour, today, and last six days. Dynatrace news.

Automotive 263

Automotive Latency Architecture Azure 263

The Netflix TechBlog

APRIL 27, 2023

Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data. Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness.

Storage 288

Storage Cache Metrics Database 288

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Background The Netflix Android app uses the falcor data model and query protocol. For example, the artwork service is separate from the video metadata service, but we need the data from both in the detail key.

Latency 233

Latency Cache Java Traffic 233

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. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

CSS Wizardry

APRIL 22, 2020

decrease in file-size with zero loss of data. They were either running their own infrastructure and installing and deploying Brotli everywhere proved non-trivial, or they were using a CDN who didn’t have readily available support for the new algorithm. Ten TCP segments equates to roughly 14KB of data. That’s a 2.8× packet loss).

Latency 269

Latency Servers Website Speed 269

Dynatrace

DECEMBER 15, 2022

Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Why is IT operations important?

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

John McCalpin

DECEMBER 6, 2016

The Xeon Phi x200 (Knights Landing) has a lot of modes of operation (selected at boot time), and the latency and bandwidth characteristics are slightly different for each mode. This reduces the number of “hops” required for request/response/coherence messages on the mesh, and should reduce both latency and contention.

Latency 40

Latency Cache Testing Systems 40

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Data entering a stream.

Lambda 175

Lambda AWS Serverless Hardware 175

All Things Distributed

APRIL 24, 2019

AWS customers can now use this Region to serve their end users in Hong Kong SAR at a lower latency, and to comply with any data locality requirements. The AWS Asia Pacific (Hong Kong) Region is the eighth active AWS Region in Asia Pacific and mainland China along with Beijing, Mumbai, Ningxia, Seoul, Singapore, Sydney, and Tokyo.

AWS 167

AWS Latency Cloud Availability 167

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” These checkpoint events enable faster state reconstruction by consumers of the data feed while guarding against missed updates. Control Plane MQTT forms the basis of the control plane for the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213