Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? How does a data lakehouse work?

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

CSS Wizardry

OCTOBER 16, 2023

Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. When we talk about downloading files, we—generally speaking—have two things to consider: latency and bandwidth. It gets worse.

Cache 348

Cache Latency Strategy Speed 348

Dynatrace

OCTOBER 3, 2024

Considering the latest State of Observability 2024 report, it’s evident that multicloud environments not only come with an explosion of data beyond humans’ ability to manage it. It’s increasingly difficult to ingest, manage, store, and sort through this amount of data. You can find the list of use cases here.

Performance 290

Performance Architecture Innovation Latency 290

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 227

Storage Latency Operating System Network 227

CSS Wizardry

JANUARY 31, 2019

When it comes to network performance, there are two main limiting factors that will slow you down: bandwidth and latency. the maximum rate of data transfer across a given path. Latency is defined as…. how long it takes for a bit of data to travel across the network from one node or endpoint to another. The Time Column.

Latency 137

Latency Network Speed Servers 137

DZone

NOVEMBER 25, 2023

Factors like read and write speed, latency, and data distribution methods are essential. For instance, rapid read and write operations are crucial for applications requiring real-time data analytics. Yet, they are often evaluated in isolation, removed from the business context.

Database 278

Database Latency Speed Metrics 278

DZone

JULY 2, 2024

Speed and scalability are significant issues today, at least in the application landscape. Among the critical enablers for fast data access implementation within in-memory data stores are the game changers in recent times, which are technologies like Redis and Memcached. However, the question arises of choosing the best one.

Scalability 264

Scalability Performance Benchmarking Games 264

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 272

DevOps Analytics Airlines Metrics 272

Scalegrid

APRIL 23, 2021

Both Redis and Memcached are: NoSQL in-memory data structures Written in C Open source Used to speed up applications Support sub-millisecond latency In 2014, Salvatore wrote an excellent StackOverflow post on […]. Redis stands for REmote DIctionary Server, created in 2009 by Salvatore Sanfilippo.

Open Source 264

Open Source Latency C++ Speed 264

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246

Cache Scalability Performance Latency 246

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 243

Metrics Database Monitoring Network 243

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 270

Latency Ecommerce Servers Mobile 270

Smashing Magazine

FEBRUARY 12, 2025

What Network Latency Means For Time To First Byte Lets add up all the network round trips in the example above: 2 server connections: 6 round trips. That means that before we even get the first response byte for our page we actually have to send data back and forth between the browser and a server eight times!

Servers 78

Servers Latency Cache Website 78

Dynatrace

DECEMBER 13, 2023

By tracking these KPIs and similar, organizations can gain valuable insights into the performance of their mobile apps and make data-driven decisions to improve the user experience and drive growth. Here are some ways observability data is important to mobile app performance monitoring. Load time and network latency metrics.

Best Practices 246

Best Practices Mobile Metrics Performance 246

CSS Wizardry

APRIL 22, 2020

decrease in file-size with zero loss of data. This is because file-size is only one aspect of web performance, and whatever the file-size is, the resource is still sat on top of a lot of other factors and constants—latency, packet loss, etc. Ten TCP segments equates to roughly 14KB of data. That’s a 2.8×

Latency 302

Latency Servers Website Speed 302

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. Reads and writes to your Primary, and even reads from Slave-1 will work at SSD speed. Amazon RDS.

AWS 183

AWS Latency Performance Performance Testing 183

Dynatrace

MAY 31, 2023

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. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 246

Best Practices DevOps Latency Metrics 246

Speed Curve

JANUARY 19, 2025

Annie leads the Chrome Speed Metrics team at Google, which has arguably had the most significant impact on web performance of the past decade. It's really important to acknowledge that none of this would have been possible without the great work from Annie and her small-but-mighty Speed Metrics team at Google. Nice job, everyone!

Performance 98

Performance Google Speed Metrics 98

Dynatrace

JUNE 1, 2023

As organizations digitally transform, they’re also accelerating the speed of software delivery. Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. Note : you might hear the term latency used instead of response time. The Apdex score of 0.85

Latency 245

Latency Website Traffic Virtualization 245

Dynatrace

FEBRUARY 15, 2023

SREs use Service-Level Indicators (SLI) to see the complete picture of service availability, latency, performance, and capacity across various systems, especially revenue-critical systems. Thus, Site Reliability Guardian supports DevOps and SREs in speeding up release delivery and improving release quality.

DevOps 246

DevOps Latency Traffic Best Practices 246

VoltDB

NOVEMBER 14, 2024

As the Industrial Internet of Things (IIoT) gains traction, AI technologies are transforming how industrial organizations monitor, manage, and optimize their assets and use their data. Solution: AI-driven preventative maintenance uses real-time data and machine learning (ML) algorithms to predict equipment failures before they happen.

Energy 52

Energy Logistics Transportation Latency 52

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. Active data includes jobs and tasks that are currently running. Titus Gateway handles user requests.

Cache 233

Cache Latency Traffic Systems 233

Dynatrace

MAY 5, 2021

Establishing clear, consistent, and effective quality gates that are automatically validated at each phase of the delivery pipeline is essential for improving software quality and speeding up delivery. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

Benchmarking 246

Benchmarking Latency Speed Software 246

The Netflix TechBlog

SEPTEMBER 24, 2021

As described by the white paper Apple ProRes ( link ), the target data rate of the Apple ProRes HQ for 1920x1080 at 29.97 Uploading and downloading data always come with a penalty, namely latency. The problematic pattern of packagers is that they do not always generate data linearly. is 220 Mbps.

Cloud 242

Cloud Media Storage Cache 242

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. Real user monitoring collects data on a variety of metrics. For example, data collected on load actions can include navigation start, request start, and speed index metrics.

Monitoring 245

Monitoring Mobile Latency Best Practices 245

Dynatrace

JUNE 26, 2024

Observability analytics enables users to gain new insights into traditional telemetry data such as logs, metrics, and traces by allowing users to dynamically query any data captured and to deliver actionable insights. And they can create relevant queries based on available data to answer questions and make business decisions.

Analytics 246

Analytics Infrastructure Metrics Efficiency 246

Smashing Magazine

OCTOBER 31, 2023

Answering Common Questions About Interpreting Page Speed Reports Answering Common Questions About Interpreting Page Speed Reports Geoff Graham 2023-10-31T16:00:00+00:00 2023-10-31T17:06:18+00:00 This article is sponsored by DebugBear Running a performance check on your site isn’t too terribly difficult.

Speed 117

Speed Google Website Metrics 117

Dynatrace

APRIL 6, 2022

Full-stack observability is the ability to determine the state of every endpoint in a distributed IT environment based on its telemetry data. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance.

DevOps 303

DevOps Innovation Infrastructure Cloud 303

The Netflix TechBlog

SEPTEMBER 10, 2024

This allows data to be sent to the device from backend services on demand, without the need for continually polling requests from the device. In our case, we value low latency — the faster we can read from KeyValue, the faster these messages can get delivered. As Pushy’s portfolio grew, we experienced some pain points with Dynomite.

Latency 234

Latency Cache Tuning Efficiency 234

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 290

Development DevOps Programming Cloud 290

Dynatrace

JUNE 27, 2022

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM collects data on each user action within a session, including the time required to complete the action, so IT pros can identify patterns and where to make improvements in experience.

Best Practices 244

Best Practices Monitoring Wireless Traffic 244

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 305

AWS Efficiency Azure Cloud 305

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. Dynatrace Grail harnesses all this data into an efficient, flexible, powerful, low-maintenance data lakehouse that enables IT leaders and risk managers to get the data they need, in real-time and aggregated in the desired context.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

High Scalability

SEPTEMBER 8, 2018

RISELabs , those wonderfully innovative folks over at Berkeley, have uplifted their Anna datatabase —a shared-nothing, thread-per-core architecture to achieve lightning-fast speeds by avoiding all coordination mechanisms—to become cloud-aware. Our monitoring engine automatically moves data between tiers based on access patterns.

Storage 199

Storage Performance AWS Cloud 199

DZone

JULY 10, 2019

The Apache Spark + Alluxio stack is getting quite popular particularly for the unification of data access across S3 and HDFS. In addition, compute and storage are increasingly being separated causing larger latencies for queries. A Note on Data Locality. High data locality can greatly improve the performance of Spark jobs.

Best Practices 138

Best Practices Storage Latency Tuning 138

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 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality.

DevOps 246

DevOps Best Practices Innovation Strategy 246