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. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 243

AWS Efficiency Azure Cloud 243

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

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 171

Performance Latency Traffic Metrics 171

Dynatrace

AUGUST 27, 2019

The Dynatrace all-in-one software intelligence platform gives your team real-time visibility into your underlying infrastructure —be it on bare metal, VMware, OpenStack, AWS, Azure, or a hybrid solution. Step 5 – xMatters triggers a runbook in Ansible to fix the disk latency. xMatters creates and updates Jira issues.

Systems 176

Systems Latency DevOps Azure 176

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? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”

Development 258

Development DevOps Programming Cloud 258

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 219

Best Practices DevOps Latency Metrics 219

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. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Example 1: Architecture boundaries.

Automotive 267

Automotive Latency Architecture Azure 267

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

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

DevOps 215

DevOps Latency Traffic Best Practices 215

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 217

DevOps Traffic Efficiency Servers 217

The Morning Paper

OCTOBER 11, 2020

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. The old ground-initiated command-and-control style systems aren’t going to work for these finer-grained systems.

Systems 125

Systems Latency Architecture Energy 125

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency.

Design 334

Design Media Storage Logistics 334

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Systems built with lots of microservices have different operational characteristics to those built from a small number of monoliths, we’d like to study and better understand those differences.

Open Source 61

Open Source Hardware Benchmarking Systems 61

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 242

Serverless Efficiency Lambda Azure 242

All Things Distributed

MARCH 12, 2018

A great example of this is the way we are using ML to deal with one of the world's biggest and most tangled datasets: human speech. The interfaces to our digital system have been dictated by the capabilities of our computer systems—keyboards, mice, graphical interfaces, remotes, and touch screens.

Systems 110

Systems AWS Games Transportation 110

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 190

Infrastructure Latency Metrics Analytics 190

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 a look at what kind of additional telemetry data we will have at our fingertips with OneAgent.

Metrics 168

Metrics Monitoring Database Network 168

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 175

Artificial Intelligence Metrics Architecture DevOps 175

Dynatrace

NOVEMBER 3, 2021

Logging provides additional data but is typically viewed in isolation of a broader system context. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Monitoring typically provides a limited view of system data focused on individual metrics.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

ACM Sigarch

MARCH 18, 2019

Computer systems, from the Internet-of-Things devices to datacenters, are complex and optimizing them can enhance capability and save money. Developing simulators, however, is time-consuming and requires a great deal of infrastructure development regarding a prospective system. Consider an example and literature pointers.

Systems 60

Systems Latency Performance Analytics 60

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions.

Lambda 178

Lambda AWS Serverless Hardware 178

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. Why is observability challenging in serverless applications?

Serverless 203

Serverless Lambda Azure AWS 203

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. Operating Systems are not always set up in the same way. Recent improvements in OneAgent runtime-data handling. See details below.

Storage 146

Storage Latency Operating System Network 146

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

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy. In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

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 194

DevOps Best Practices Innovation Strategy 194

The Morning Paper

MAY 21, 2019

Software-defined far memory in warehouse-scale computers Lagar-Cavilla et al., ” This paper describes a “far memory” system that has been in production deployment at Google since 2016. ” This paper describes a “far memory” system that has been in production deployment at Google since 2016.

Software 78

Software Software Google Hardware 78

Adrian Cockcroft

JANUARY 29, 2023

The common way to deal with this is to measure percentiles, and track the 90%, 99% response times for example. For example lets say you have a 99% within 2 seconds SLA, and your current 99%ile measured over one minute is 1 second. There is no way to model how much more traffic you can send to that system before it exceeds it’s SLA.

Lambda 98

Lambda Latency Cache C++ 98

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 187

Metrics Best Practices DevOps Infrastructure 187

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. Increasing the server selection timeout value can help improve network connectivity as well as speed up the overall performance of your system by modifying connectTimeoutMS option present inside the MongoDB driver.

Java 130

Java Network Servers Database 130

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 216

Mobile Metrics Monitoring Latency 216

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 200

Monitoring Social Media IoT Metrics 200

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 175

Monitoring Latency Metrics Availability 175

Dynatrace

JUNE 25, 2021

Distributed tracing describes the act of following a transaction through all participating applications (tiers) and sub-systems, such as databases. All systems that support distributed tracing use some identifiers, the trace context, that is passed along with the transaction. Let me give you an example. W3C Trace Context.

Open Source 197

Open Source Monitoring Google Systems 197

Brendan Gregg

JULY 2, 2021

This is also applicable for people adding it to their own in-house monitoring systems. You likely already have agents running on all your customer systems. There are so many options it's really your own preference based on your existing system and customer environments. biolatency Disk I/O latency histogram heat map.

Latency 145

Latency Cache Energy Systems 145