Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Several tools can be used to collect metrics in load/performance testing.

Speed 219

Speed Software Software Latency 219

The Netflix TechBlog

NOVEMBER 9, 2022

A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.”

Hardware 363

Hardware Cache Performance Latency 363

Dynatrace

JULY 22, 2024

Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics. Metrics are typically aggregated and stored in time series databases for monitoring and alerting purposes.

Latency 245

Latency Best Practices Metrics Open Source 245

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

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 338

Cache Latency Strategy Speed 338

Dynatrace

MAY 13, 2022

Once you deploy the Dynatrace extension, Dynatrace ingests your Cassandra metrics and analyzes them in context with the entire stack. From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). Seeing the value.

Azure 242

Azure Latency Metrics Infrastructure 242

Dynatrace

MAY 19, 2022

Example 1: Architecture boundaries. For example, the mobile device talked to an API gateway, and that team was not responsible for all the details of the back-end systems. In their new dashboard, they added dimensions for load, latency, and open problems for each component. Example 2: Four golden signals.

Automotive 279

Automotive Latency Architecture Azure 279

The Netflix TechBlog

APRIL 27, 2023

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! Hence, we started down the path of alert evaluation via real-time streaming metrics. Data expressions define what data needs to be sourced in order to evaluate a query.

Storage 300

Storage Cache Metrics Database 300

CSS Wizardry

AUGUST 7, 2019

However, one metric I feel that front-end developers overlook all too quickly is Time to First Byte (TTFB). 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. For example, request collapsing , edge-side includes , etc.).

Latency 271

Latency Ecommerce Servers Mobile 271

The Netflix TechBlog

FEBRUARY 20, 2019

Today we are excited to announce latency heatmaps and improved container support for our on-host monitoring solution?—?Vector?—?to Remotely view real-time process scheduler latency and tcp throughput with Vector and eBPF What is Vector? to the broader community. Vector is open source and in use by multiple companies.

Performance 217

Performance Latency Open Source Metrics 217

Dynatrace

MARCH 16, 2023

Enterprises now have access to myriad metrics they can track and measure, but an abundance of choice doesn’t equal actionable insight. Indeed, 54% of SREs say they handle too many metrics, making it increasingly difficult to find the most relevant ones for a particular service, according to the Dynatrace State of SRE Report.

DevOps 228

DevOps Latency Metrics Traffic 228

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. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort. This is what Dynatrace captures as response time.

Performance 185

Performance Latency Traffic Metrics 185

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 233

Monitoring Metrics DevOps Scalability 233

The Netflix TechBlog

SEPTEMBER 8, 2020

As an example, to render the screen shown here, the app sends a query that looks like this: paths: ["videos", 80154610, "detail"] A path starts from a root object , and is followed by a sequence of keys that we want to retrieve the data for. We will talk more about how we used these metrics in the sections to follow.

Latency 243

Latency Cache Java Traffic 243

Dynatrace

SEPTEMBER 18, 2020

High latency or lack of responses. You receive an alert message from Dynatrace (your infrastructure observability hub) letting you know that the average response latency of all deployed APIs has tripled. Looking at the key metrics of the deployment does not reveal anything out of the ordinary. But where does the fault lie?

Infrastructure 194

Infrastructure Latency Metrics Analytics 194

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. The following three metrics are commonly used to measure success: Service-level agreements (SLAs). These metrics are the factors and service levels that must be achieved for each activity, function, and process to deliver on the SLA.

Best Practices 233

Best Practices DevOps Latency Metrics 233

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 259

AWS Efficiency Azure Cloud 259

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Select Add service to pick the service that has the metric you want to add.

AWS 138

AWS Metrics IoT Storage 138

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 287

Traffic Metrics Systems Strategy 287

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. When an application is triggered, it can cause latency as the application starts. Building APIs (for example, Amazon API Gateway ). Creating a prototype (for example, on Azure ).

Serverless 246

Serverless Efficiency Lambda Azure 246

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Select Add service to pick the service that has the metric you want to add.

AWS 134

AWS Metrics IoT Storage 134

The Netflix TechBlog

SEPTEMBER 2, 2020

Example call graph in Edgar In some cases, the question we’re answering is, “What’s happening right now??” Tracing as a foundation Logs, metrics, and traces are the three pillars of observability. Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service.

Latency 299

Latency Transportation Engineering Traffic 299

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. Supports a maximum 9 nodes per data center (18 nodes in total).

Availability 256

Availability Hardware Latency Traffic 256

Dynatrace

OCTOBER 10, 2024

For example, it supports string and numerical values, enabling a multitude of different use cases. For example, set the value range for CPU consumption from 0% to 100%. While histograms look much like time-series bar charts, they’re different in that each bar represents a count (often termed frequency) of metric values.

Latency 213

Latency Infrastructure Monitoring Metrics 213

Dynatrace

AUGUST 21, 2024

This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. This blog post explores the Reliability metric , which measures modern operational practices. Why reliability? The problems that take maximum time to resolve – lowest MTTR.

Engineering 203

Engineering Systems Latency Metrics 203

The Netflix TechBlog

OCTOBER 26, 2021

Continuing on an example from Part 3 , a false negative corresponds to labeling the photo of the cat as a “not cat.” To build intuition about power, let’s go back to the same coin example from Part 3, where the goal is to decide if the coin is unfair using an experiment that calculates the fraction of heads in 100 flips.

Testing 213

Testing Metrics Latency Design 213

Dynatrace

NOVEMBER 6, 2023

When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics. In this example, Grabner saw that the adservice workload was running on EKS and could see the relevant metrics, logs, services, events, error logs, and more. “Then, I add a breakpoint.

Development 273

Development DevOps Programming Cloud 273

Dynatrace

JUNE 7, 2023

One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 174

Monitoring Latency Metrics Azure 174

The Netflix TechBlog

FEBRUARY 18, 2022

For example, a member-triggered event such as “ change in a profile’s maturity level” should have a much higher priority than a “ system diagnostic signal”. For example, entirely relying on a Pull model wherein the device frequently calls home for updates would result in chatty mobile apps.

Systems 334

Systems Traffic Architecture Mobile 334

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. Additionally, you can easily use any previously defined metrics and SLOs from your environments.

DevOps 230

DevOps Latency Traffic Best Practices 230

The Netflix TechBlog

SEPTEMBER 10, 2024

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.

Latency 233

Latency Cache Tuning Efficiency 233

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 242

Latency Storage Traffic Tuning 242

The Netflix TechBlog

NOVEMBER 2, 2020

All such failures can put a system under unexpected load, and at some point in the past, every single one of these examples has prevented our members’ ability to play. Logs and background requests are examples of this type of traffic. Those two metrics are approximate indicators of failures and latency.

Traffic 263

Traffic Metrics Infrastructure Architecture 263

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 215

Cache Azure Infrastructure Monitoring 215

Dynatrace

JANUARY 13, 2022

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. Real user monitoring works by injecting code into an application to capture metrics while the application is in use. How real user monitoring works.

Monitoring 191

Monitoring Mobile Latency Best Practices 191

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Thus, an ApDex score of 0.85

Latency 189

Latency Website Traffic Virtualization 189

Dynatrace

OCTOBER 2, 2024

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. For example, deleting the database is not an expected outcome when the function provided is to update a user profile.

Analytics 248

Analytics AWS DevOps Cloud 248