This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
This gives fascinating insights into the network topography of our visitors, and how much we might be impacted by high latency regions. Round-trip-time (RTT) is basically a measure of latency—how long did it take to get from one endpoint to another and back again? What is RTT? RTT isn’t a you-thing, it’s a them-thing.
Stream processing enables software engineers to model their applications’ business logic as high-level representations in a directed acyclic graph without explicitly defining a physical execution plan. We designed experimental scenarios inspired by chaos engineering. This significantly increases event latency.
What is site reliability engineering? Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. SRE focuses on automation.
Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Organizations can then integrate these skilled engineers at key points in the DevOps life cycle.
Every image you hover over isnt just a visual placeholder; its a critical data point that fuels our sophisticated personalization engine. Part 1: Creating the Source of Truth for Impressions By: TulikaBhatt Imagine scrolling through Netflix, where each movie poster or promotional banner competes for your attention.
Business-focused, unified platform approach : A unified platform approach enables platform engineering and self-service portals, simplifying operations and reducing costs. Davis, the causal AI engine, instantly identifies root causes and predicts service degradation before it impacts users.
Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. But with that speed and agility comes new complications and complexity, all while maintaining performance and reliability with less than 1% down-time per year. Reduced latency. SRE as an application of DevOps. Efficiency.
Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services. Mobile retail e-commerce spending in the U.
The Akamas vision is that only an autonomous optimization approach powered by AI can effectively enable performance engineers, SREs, and architects to identify the best configurations that ensure maximum service performance and resilience, at the lowest possible cost and at business speed. below 500ms) and error rates (e.g.
This is where Site Reliability Engineering (SRE) practices are applied. 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.
As organizations digitally transform, they’re also accelerating the speed of software delivery. Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency primarily focuses on the time spent in transit.
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!
So, for the last several years, I, along with other performance engineers like me, have been recommending that our clients move over from Gzip and to Brotli instead. The uncompressed version, on the other hand, takes a full two round trips more to be fully transferred, which—particularly on a high latency connection—could be quite noticeable.
At Perform 2021 , Dynatrace’s Kristof Renders, Services Practice Manager for Autonomous Cloud Enablement, joined Sumit Nagal, Principal Engineer at Intuit, to demonstrate how service-level objectives (SLOs) and business-level objectives (BLOs) can “shift left.” For example, improving latency by as little as 0.1
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. – blog.
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.
Uploading and downloading data always come with a penalty, namely latency. Figure 3: Video Processing with Index and Virtual Assembly Using virtual assembly greatly improves the latency performance of the ProRes 422 HQ proxy generation by removing one round trip of cloud downloading and cloud uploading by the physical assembler.
Dynomite is a Netflix open source wrapper around Redis that provides a few additional features like auto-sharding and cross-region replication, and it provided Pushy with low latency and easy record expiry, both of which are critical for Pushy’s workload. As Pushy’s portfolio grew, we experienced some pain points with Dynomite.
In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Why is developer observability important for engineers? Dynatrace enables teams to specify SLOs, such as latency, uptime, availability, and more.
In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms. We started seeing increased response latencies and leader servers running at dangerously high utilization.
A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. Measuring the speed of time Is there already a microbenchmark for os::javaTimeMillis()? I happened to be speaking at a technical confering while still debugging this, and mentioned what I was working on to a processor engineer.
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
Data collected on page load events, for example, can include navigation start (when performance begins to be measured), request start (right before the user makes a request from the server), and speed index metrics (measure page load speed). connectivity, access, user count, latency) of geographic regions.
Uber’s interactive analytics team shares how they integrated Alluxio’s data caching into Presto, the SQL query engine powering thousands of daily active users on petabyte scale at Uber, to dramatically reduce data scan latencies through leveraging Presto on local disks.
This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. The Dynatrace AI engine, Davis , provides precise answers with automatic root-cause analysis to help DevOps and ITOps continuously improve workflows. Performance. What does IT operations do? ” The post What is ITOps?
Measuring application performance is increasingly important because as organizations digitally transform, they’re also accelerating the speed of software delivery. Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability.
Today, I'm excited to announce the general availability of Amazon DynamoDB Accelerator (DAX) , a fully managed, highly available, in-memory cache that can speed up DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. "For Tinder, performance is absolutely key.
Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Netflix operates in multiple AWS regions.
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. You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second. Help with decision making.
In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g.,
In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop. All these moments combined represent latency – the time it takes for your order to reach your hands.
Data compression MongoDB offers various block compression methods used by the WiredTiger storage engine, like snappy, zlib, and zstd. Percona Server for MongoDB (PSMDB) supports all types of compression and enterprise-grade features for free. I am using PSMDB 6.0.4 Snappy is a compression library developed by Google.
I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. Ford, et al., “TCP
It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. There are three common issues that the dataset owners usually face.
I propose four key ingredients: Definition: What is "performance" beyond page speed? 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. No silver bullets, only engineering. What are its goals?
Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. It is important to understand these challenges properly to find solutions for them.
Balancing Low Latency, High Availability and Cloud Choice Cloud hosting is no longer just an option — it’s now, in many cases, the default choice. Low usage or over-engineered legacy systems Until the arrival of cloud hosting, nobody knew how to size anything properly, or they did know but never got a chance to. Why are they refusing?
You need a lot of software engineers and the willingness to rewrite a lot of software to entertain that idea. Here are the bombshell paragraphs: Our datacenter applications seek ever more CPU-efficient and lower-latency communication, which Pony Express delivers. The desire for CPU efficiency and lower latencies is easy to understand.
The eval process combines: Human review Model-based evaluation A/B testing The results then inform two parallel streams: Fine-tuning with carefully curated data Prompt engineering improvements These both feed into model improvements, which starts the cycle again. Were experiencing high latency in responses.
In this article, we uncover how PageSpeed calculates it’s critical speed score. It’s no secret that speed has become a crucial factor in increasing revenue and lowering abandonment rates. Now that Google uses page speed as a ranking factor, many organizations have become laser-focused on performance. Speed Index.
Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. It is important to understand these challenges properly to find solutions for them.
This freshness measurement can then be used by out-of-the-box Dynatrace anomaly detection to actively alert on abnormal changes within the data ingest latency to ensure the expected freshness of all the data records. Data observability is becoming a mandatory part of business analytics, automation, and AI.
Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. physics engine that simulates 3D cubes falling from the air. improvement, and the wasm version a 1.4x (here the compute speed-up is offset by the long transmission time to send the input/output images).
In the back to basics readings this week I am re-reading a paper from 1995 about the work that I did together with Thorsten on solving the problem of end-to-end low-latency communication on high-speed networks. The lack of low-latency made that distributed systems (e.g.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content