Dynatrace

AUGUST 25, 2023

According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success.

Performance 168

Performance Latency Traffic Metrics 168

Dynatrace

NOVEMBER 28, 2022

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 218

Lambda AWS Serverless Latency 218

Dynatrace

DECEMBER 4, 2023

“Engineers today lack an easy way to track the tokens and prompt usage of their LLM applications in production. Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Maintained under the Apache 2.0

Open Source 251

Open Source Latency Metrics Java 251

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

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

FEBRUARY 15, 2023

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.

DevOps 211

DevOps Latency Traffic Best Practices 211

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. Once you deploy the Dynatrace extension, Dynatrace ingests your Cassandra metrics and analyzes them in context with the entire stack.

Azure 231

Azure Latency Metrics Infrastructure 231

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Beyond SLAs, the emergence of machine learning technical debt poses an additional challenge for model observability.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

MARCH 16, 2023

So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? Enterprises now have access to myriad metrics they can track and measure, but an abundance of choice doesn’t equal actionable insight. The result?

DevOps 207

DevOps Latency Metrics Traffic 207

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability Availability SLO quantifies the expected level of service availability over a specific time period.

Latency 171

Latency Website Traffic Virtualization 171

The Netflix TechBlog

MARCH 7, 2024

Without these integrations, projects would be stuck at the prototyping stage, or they would have to be maintained as outliers outside the systems maintained by our engineering teams, incurring unsustainable operational overhead. Importantly, all the use cases were engineered by practitioners themselves.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. These organizations rely heavily on performance, availability, and user satisfaction to drive sales and retain customers. Availability is typically expressed in 9’s, such as 99.9%. or 99.99% availability.

Traffic 173

Traffic Latency Website Virtualization 173

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! It opens doors to support more exciting use-cases.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

NOVEMBER 6, 2023

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? When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics.

Development 255

Development DevOps Programming Cloud 255

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. Workflows are powered by a core platform technology of Dynatrace called the AutomationEngine.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). In their new dashboard, they added dimensions for load, latency, and open problems for each component.

Automotive 263

Automotive Latency Architecture Azure 263

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. The results are then evaluated using specific metrics to determine whether the hypothesis is valid.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

FEBRUARY 20, 2019

by Jason Koch , with Martin Spier , Brendan Gregg , Ed Hunter Improving the tools available to our engineers to help them diagnose, triage, and work through software performance challenges in the cloud is a key goal for the cloud performance engineering team at Netflix.

Performance 211

Performance Latency Open Source Metrics 211

Dynatrace

SEPTEMBER 29, 2020

On one hand, they enable our engineers to get their latest enhancements deployed into production. Since we moved to AWS in May 2014 we have had an availability of 99.95%! Sydney, we have a disk write latency problem! Modern hybrid-multicloud monitoring needs more than just metrics.

Infrastructure 177

Infrastructure Cloud Monitoring AWS 177

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 213

Monitoring Metrics DevOps Scalability 213

Dynatrace

JANUARY 31, 2024

At its core, data observability is about ensuring the availability, reliability, and quality of data. 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.

DevOps 189

DevOps Analytics Airlines Metrics 189

Dynatrace

JANUARY 18, 2023

From site reliability engineering to service-level objectives and DevSecOps, these resources focus on how organizations are using these best practices to innovate at speed without sacrificing quality, reliability, or security. SRE applies software engineering principles to operations and infrastructure processes. – blog.

DevOps 190

DevOps Best Practices Innovation Strategy 190

The Netflix TechBlog

NOVEMBER 2, 2020

As engineers at Netflix, we are constantly reevaluating how to redesign traffic management. In Netflix engineering, we’re driven by ensuring Netflix is there when you need it to be. The computation is done as a first step so that it is available for the rest of the request lifecycle.

Traffic 252

Traffic Metrics Infrastructure Architecture 252

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. availability of a website over a year, your error budget is.05%.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

The Netflix TechBlog

FEBRUARY 18, 2022

Personalized Experience Refresh Netflix Recommendation engine continuously refreshes recommendations for every member. Scaling Policies To address the thundering herd problem and to keep latencies under acceptable thresholds, the cluster scale-up policies are configured to be more aggressive than the scale-down policies.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. Expanding on the traditional observability pillars of metrics, logs, and traces, DEM collects user experience data to complete the end-to-end picture.

Monitoring 196

Monitoring Social Media IoT Metrics 196

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., We call this system Cosmos.

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries. We will talk more about how we used these metrics in the sections to follow.

Latency 233

Latency Cache Java Traffic 233

The Morning Paper

JULY 7, 2019

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML. ICSE’19. A general process.

Software Engineering 92

Software Engineering Engineering Software Software 92

Dynatrace

MARCH 17, 2021

OneAgent gives you all the operational and business performance metrics you need, from the front end to the back end and everything in between—cloud instances, hosts, network health, processes, and services. But what if a particular metric that’s crucial to your monitoring needs isn’t covered out of the box? Why use Extensions.

Metrics 164

Metrics Monitoring Network Technology 164

The Netflix TechBlog

AUGUST 16, 2023

It seems like a minor change, but it had to be seamlessly integrated into our existing metrics and connection bookkeeping. Service mesh being available on many services made testing and rolling out this feature very easy because it enables ALPN by default. Subsetting Success The results were outstanding.

Traffic 170

Traffic Servers Google Metrics 170

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., Details in the next blog entry.)

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Dynatrace

JUNE 27, 2022

RUM gathers information on a variety of performance metrics. 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). Real user monitoring limitations.

Best Practices 169

Best Practices Monitoring Wireless Traffic 169

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. Over the years we’ve learned from on-call engineers about the pain points of application monitoring: too many alerts, too many dashboards to scroll through, and too much configuration and maintenance. Metrics are a key part of understanding application health. Client metrics and QoE changes.

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. You can eliminate the latency issues caused by cold starts — an increase in normal response time when a new instance receives its first request — by using edge-optimized functions that run code closer to users and other projects.

Lambda 175

Lambda AWS Serverless Hardware 175

Dynatrace

DECEMBER 15, 2022

ITOps teams use more technical IT incident metrics, such as mean time to repair, mean time to acknowledge, mean time between failures, mean time to detect, and mean time to failure, to ensure long-term network stability. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Performance.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

CSS Wizardry

MAY 19, 2020

Their ability to serve the tiniest possible font files tailored to specific user agents and platforms is amazing, and with such a huge, freely-available library served from Google-grade CDNs… I definitely see why people continue to turn to it. I’m happy to say, for the metrics that matter the most, we are 700–1,200ms faster.

Google 364

Google Media Latency Metrics 364