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. Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. That’s a large amount of data to handle.

Metrics 130

Metrics Latency Java Cache 130

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. 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. But what happens when this machinery needs a transformation?

Traffic 279

Traffic Metrics Systems Strategy 279

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. However, it does not provide visibility into the operations taking place at the code level, such as method, socket, and thread states.

Latency 246

Latency Storage Strategy Metrics 246

Dynatrace

MAY 31, 2023

As a result, site reliability has emerged as a critical success metric for many organizations. Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. More than one in seven outages cost more than $1 million. availability.

Best Practices 228

Best Practices DevOps Latency Metrics 228

Dynatrace

DECEMBER 4, 2023

By using OpenLLMetry and Dynatrace, anyone can get complete visibility into their system, including gen-AI parts with 5 minutes of work.” OpenTelemetry has become a standard for collecting traces, metrics, and logs. “Engineers today lack an easy way to track the tokens and prompt usage of their LLM applications in production.

Open Source 262

Open Source Latency Metrics Java 262

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

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. According to Google’s SRE handbook , best practices, there are “ Four Golden Signals ” we can convert into four SLOs for services: reliability, latency, availability, and saturation.

Software 269

Software Software Benchmarking Latency 269

Dynatrace

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? The scale and the highly distributed systems result in enormous amounts of data. They also care about infrastructure: SREs require system visibility and incident management.

Development 267

Development DevOps Programming Cloud 267

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. Siloed teams and multiple tools make it difficult to align on a single version of the truth for overall system health.

DevOps 224

DevOps Latency Traffic Best Practices 224

Dynatrace

MAY 21, 2024

That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency. Young talent (our future executives) has a valid interest beyond making more money, as sustainability and green coding are vital to protecting both their own and our future.

Technology 206

Technology Technology Analytics Storage 206

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. Using an interactive no/low code editor, you can create workflows or configure them as code.

AWS 252

AWS Efficiency Azure Cloud 252

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. Note : you might hear the term latency used instead of response time.

Latency 182

Latency Website Traffic Virtualization 182

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses. How can we verify that?

Metrics 176

Metrics Monitoring Database Network 176

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

Serverless 213

Serverless Lambda Azure AWS 213

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. What is AWS Lambda?

Lambda 184

Lambda AWS Serverless Hardware 184

Dynatrace

APRIL 8, 2024

If system failures occur, teams must resolve them quickly and resolutely. Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Automate stress-testing and regulatory reporting requirements.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. This event-driven automation triggers the action of sending the discount code only when the customer abandons the cart abandonment, minimizing revenue loss and increasing conversion rates.

DevOps 225

DevOps Traffic Efficiency Servers 225

Dynatrace

DECEMBER 22, 2021

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

Artificial Intelligence 183

Artificial Intelligence Metrics Architecture DevOps 183

Dynatrace

JANUARY 18, 2023

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. In addition, 27% of IT and DevOps teams’ time is invested in manual CI/CD tasks such as detecting code quality issues, which reduces time spent on innovation. What is DevOps?

DevOps 203

DevOps Best Practices Innovation Strategy 203

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 184

Monitoring Latency Mobile Best Practices 184

The Netflix TechBlog

AUGUST 30, 2021

System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform. Fault Tolerance If the underlying KafkaConsumer crashes due to ephemeral system or network events, it should be automatically restarted.

Latency 213

Latency Traffic Transportation Hardware 213

The Netflix TechBlog

SEPTEMBER 8, 2020

On the Android team, while most of our time is spent working on the app, we are also responsible for maintaining this backend that our app communicates with, and its orchestration code. Image taken from a previously published blog post As you can see, our code was just a part (#2 in the diagram) of this monolithic service.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. There is no need to plan for extra resources, update operating systems, or install frameworks. The provider is essentially your system administrator. What is serverless computing?

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

APRIL 6, 2022

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. Not just infrastructure connections, but the relationships and dependencies between containers, microservices , and code at all network layers. Watch webinar now!

DevOps 235

DevOps Innovation Infrastructure Analytics 235

Dynatrace

OCTOBER 4, 2021

API monitoring captures and analyzes metrics that describe the vital aspects of an application’s performance, which can help developers gain a deeper understanding of the health and efficiency of the APIs they’re utilizing. The need for API monitoring. Ways to monitor APIs.

Monitoring 183

Monitoring Latency Metrics Availability 183

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 211

Performance Latency Open Source Metrics 211

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., On a VE20B (8 cores, 1.6

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Scalegrid

MARCH 14, 2024

Effective hybrid cloud management requires robust tools and techniques for centralized administration, policy enforcement, cost management, and modern infrastructure practices like Infrastructure-as-Code (IaC) and containers. The tool must be compatible with your current systems. It should offer user-friendly operation. </p>

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. What are error budgets? For example, if your SLO guarantees 99.5%

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

The Netflix TechBlog

JANUARY 24, 2022

Technically, “performance” metrics are those relating to the responsiveness or latency of the app, including start up time. At Netflix the term “performance” usually encompasses both performance metrics (in the strict meaning) and memory metrics, and that’s how we’re using the term here. What do we mean by Performance?

Performance 199

Performance Metrics Performance Testing Testing 199

Dynatrace

MARCH 17, 2021

Complex IT systems make it possible to buy your favorite pair of jeans online, pay your bills, or help you navigate. These systems produce an unimaginably huge amount of data. But what if a particular metric that’s crucial to your monitoring needs isn’t covered out of the box? Dynatrace news. Dynatrace Extensions 2.0

Metrics 174

Metrics Monitoring Network Technology 174

Adrian Cockcroft

JANUARY 29, 2023

There is no way to model how much more traffic you can send to that system before it exceeds it’s SLA. This is unfortunate, because we’d really like to be able to build systems that have an SLA that we can share with the consumers of our interfaces, and be able to measure how well we are doing.

Lambda 98

Lambda Latency Cache C++ 98

The Netflix TechBlog

FEBRUARY 9, 2021

The whole system was quite complex, and starting to become brittle. The API server orchestrates backend systems to authenticate the user. Upstream systems had to reopen the tokens to identify the user logging in and potentially manage multiple parallel identity data structures, which could easily get out of sync.

Architecture 221

Architecture Latency Servers Website 221

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. Our streaming teams need a monitoring system that enables them to quickly diagnose and remediate problems; seconds count! Our Node team needs a system that empowers a small group to operate a large fleet. Metrics are a key part of understanding application health. By Andrei U.,

Monitoring 210

Monitoring Tuning Traffic Metrics 210

Dynatrace

JUNE 25, 2021

Distributed tracing describes the act of following a transaction through all participating applications (tiers) and sub-systems, such as databases. Around the same time, Dynatrace released PurePath Version 1, which allowed for distributed tracing that provided not only cross-tier timings but also code-level details. W3C Trace Context.

Open Source 202

Open Source Monitoring Google Systems 202