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 process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

MAY 17, 2023

To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. How Dynatrace uses Site Reliability Guardian In each of these Dynatrace examples, insight is made in a production-like environment. What’s next?

DevOps 192

DevOps Traffic Latency Best Practices 192

Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 228

Best Practices DevOps Latency Metrics 228

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. 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 267

Development DevOps Programming Cloud 267

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. Similarly, an increased throughput signifies an intensive workload on a server and a larger latency.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

NOVEMBER 3, 2022

For example, it is OK to send writes through one instance, and do reads from another one with full data read consistency guarantees. For example, a batch workflow orchestration system may create multiple jobs which are part of a single workflow execution. Kubernetes is a good example here.

Cache 224

Cache Latency Traffic Systems 224

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 275

Automotive Latency Architecture Azure 275

The Netflix TechBlog

MAY 4, 2023

Utilizing cloned real traffic, we can exercise the diversity of inputs from a wide range of devices and device application software versions in production. It provides a good read on the availability and latency ranges under different production conditions. For example, if some fields in the responses are timestamps, those will differ.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

JULY 18, 2023

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. As software development grows more complex, managing components using an automated onboarding process becomes increasingly important.

Best Practices 195

Best Practices Code Infrastructure Latency 195

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. For example, a video encoding service is built of components that are scale-agnostic: API, workflow, and functions.

Serverless 228

Serverless Media Latency Social Media 228

Scalegrid

DECEMBER 21, 2023

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.

Strategy 130

Strategy Monitoring Latency DevOps 130

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. In addition, the workflow can be easily extended to any custom demands, for example, integration with tools that support your software product lifecycle.

DevOps 224

DevOps Latency Traffic Best Practices 224

Dynatrace

SEPTEMBER 18, 2020

In response to this trend, open source communities birthed new companies like WSO2 (of course, industry giants like Google, IBM, Software AG, and Tibco are also competing for a piece of the API management cake). High latency or lack of responses. This increase is clearly correlated with the increased response latencies.

Infrastructure 192

Infrastructure Latency Metrics Analytics 192

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. Let’s examine a few examples of answer-driven automation using AI and context. DevOps automation example #2: Threat detection and response Let’s build on the previous example.

DevOps 225

DevOps Traffic Efficiency Servers 225

High Scalability

JANUARY 11, 2022

When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. FUN FACT : In this talk , Dikang Gu, a software engineer at Instagram core infra team has mentioned about how they use Cassandra to serve critical usecases, high scalability requirements, and some pain points.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

MARCH 7, 2024

Example use case: Content Knowledge Graph Our knowledge graph of the entertainment world encodes relationships between titles, actors and other attributes of a film or series, supporting all aspects of business at Netflix. In other cases, it is more convenient to share the results via a low-latency API.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

OCTOBER 10, 2022

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Reduced latency. By using cloud providers with multiple server sites, organizations can reduce function latency for end users. Optimizes resources. No infrastructure to maintain.

Serverless 169

Serverless Infrastructure Lambda Latency 169

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 245

Serverless Efficiency Lambda Azure 245

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. to the broader community. Charts are now resizable and movable.

Performance 211

Performance Latency Open Source Metrics 211

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

MAY 5, 2021

As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. For example, improving latency by as little as 0.1 For example, improving latency by as little as 0.1

Benchmarking 188

Benchmarking Latency Speed Software 188

Dynatrace

FEBRUARY 2, 2022

Architecting service-level objectives (SLOs) , along with service-level agreements and service-level indicators, is a great way for teams to evaluate and measure software performance that stays within error budgets. For example, the IT team of a bank wants to ensure that for a trailing 30-day period there is 99.9%

DevOps 202

DevOps Metrics Best Practices Latency 202

Dynatrace

DECEMBER 2, 2021

For example, an SLA between a web host provider and customer can guarantee 99.95% uptime for all web services of a company over a year. For example, if the SLA for a website is 99.95% uptime, its corresponding SLO could be 99.95% availability of the login services. For example, if your SLO guarantees 99.5% What are SLOs?

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

SEPTEMBER 16, 2022

For example, is your application meeting business goals? An all-in-one software intelligence platform with comprehensive native mobile app monitoring integrated with end-to-end observability meets this need. . Take banking for example. Are customers satisfied with the app and leaving positive reviews?

Mobile 225

Mobile Metrics Monitoring Latency 225

Dynatrace

OCTOBER 4, 2021

An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. For example, some developers may be using an old version of an API that will soon be deprecated.

Monitoring 183

Monitoring Latency Metrics Availability 183

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). Real-user monitoring (RUM). Endpoints can be physical (i.e.,

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. Some common examples include: A request through API Gateway or Amplify. AWS continues to improve how it handles latency issues. The Amazon Web Services ecosystem. How does AWS Lambda work?

Lambda 184

Lambda AWS Serverless Hardware 184

Dynatrace

SEPTEMBER 23, 2020

This is why the Dynatrace Software Intelligence Platform is recognized as a market leader not only for monitoring coverage, but also, very importantly, for providing the shortest time-to-value. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds.

Storage 150

Storage Latency Operating System Network 150

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. With limited visibility, teams have a narrow understanding of how those decisions impact other software components and vice-versa. Observability is made up of three key pillars: metrics, logs, and traces.

Artificial Intelligence 183

Artificial Intelligence Metrics Architecture DevOps 183

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??” Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service. Searching for key evidence becomes like digging for a needle in a group of haystacks.

Latency 296

Latency Transportation Engineering Traffic 296

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. Let’s take our previous screenshot as an example. Yet, we have two entries for these two services in our list.

Metrics 176

Metrics Monitoring Database Network 176

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. 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. The elasticity of serverless services helps organizations scale as needed.

Serverless 213

Serverless Lambda Azure AWS 213

The Netflix TechBlog

DECEMBER 16, 2020

Simon Ejdemyr presented a talk describing how Netflix is exploring Low-latency multivariate Bayesian shrinkage in online experiments. Ultimately, these successes support confident decision making from our experiments, and help Netflix deliver more joy to our members!

Code 156

Code Latency Metrics Technology 156

Dynatrace

JANUARY 18, 2023

According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year. DevOps and DevSecOps practices help organizations release software faster and more frequently, paving the way for digital transformation. Site reliability engineers, or SREs, lead these efforts. What is DevOps?

DevOps 203

DevOps Best Practices Innovation Strategy 203

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. Beyond adjusting these options correctly, other steps must be taken such as optimizing connection pooling settings and checking for any potential underlying network problems when using newer versions of software.

Java 130

Java Network Servers Database 130

The Morning Paper

MAY 21, 2019

Software-defined far memory in warehouse-scale computers Lagar-Cavilla et al., If extra provisioned capacity was needed to offset a slowdown for example then this could easily offset all potential TCO savings. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory.

Software 78

Software Software Google Hardware 78

Dynatrace

NOVEMBER 3, 2021

For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring. For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Luckily, there are tools and practices that address these challenges.

Monitoring 226

Monitoring Metrics DevOps Scalability 226