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

JANUARY 14, 2022

Its ability to densely schedule containers into the underlying machines translates to low infrastructure costs. The following figure shows the high-level architecture where any load testing solution (e.g. JVM, databases, middleware, operating system, cloud instances, etc) by also taking advantage of Dynatrace full-stack observability.

Latency 206

Latency Tuning Efficiency AWS 206

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users.

Software 265

Software Software Benchmarking Latency 265

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 256

Engineering DevOps Government Latency 256

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. Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. What is serverless computing?

Serverless 244

Serverless Efficiency Lambda Azure 244

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.’. Nanosatellite systems have a GSD of around 3.0m/px. Satellites are changing! Physical constraints.

Systems 125

Systems Latency Architecture Energy 125

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure.

Artificial Intelligence 204

Artificial Intelligence DevOps Hardware Virtualization 204

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

JANUARY 8, 2024

AI-driven cloud solutions like ScaleGrid offer a diverse range of database hosting options, robust infrastructure optimized for scalability and security, and enable significant cost reductions, supporting businesses in efficient growth and improved ROI. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 178

Engineering DevOps Government Latency 178

Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. This scenario has become all too common as digital infrastructure has grown increasingly complex.

Cloud 157

Cloud Monitoring Latency Games 157

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. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 249

AWS Efficiency Azure Cloud 249

High Scalability

JANUARY 11, 2022

Architecture. The streaming data store makes the system extensible to support other use-cases (e.g. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. System Components. High Level Design.

Design 334

Design Media Storage Logistics 334

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Register now for free and experience the seamless operation of your databases across multi-cloud and hybrid-cloud systems. Setting up clear rules for managing your cloud infrastructure is key to keeping things from getting out of hand.

Strategy 130

Strategy Cloud Government Innovation 130

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 179

Artificial Intelligence Metrics Architecture DevOps 179

The Netflix TechBlog

SEPTEMBER 8, 2020

We tried a few iterations of what this new service should look like, and eventually settled on a modern architecture that aimed to give more control of the API experience to the client teams. For us, it means that we now need to have ~15 MDN tabs open when writing routes :) Let’s briefly discuss the architecture of this microservice.

Latency 233

Latency Cache Java Traffic 233

The Netflix TechBlog

AUGUST 30, 2021

The Partner Infrastructure team at Netflix provides solutions to support these two significant efforts by enabling device management at scale. Together, they form the Device Management Platform, which is the infrastructural foundation for Netflix Test Studio (NTS).

Latency 213

Latency Traffic Transportation Hardware 213

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Login & Authentication: Systems that verify user credentials and maintain session-specific data.Â

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Login & Authentication: Systems that verify user credentials and maintain session-specific data.

Architecture 52

Architecture Performance Internet Internet 52

Dynatrace

APRIL 5, 2021

Organizations can offload much of the burden of managing app infrastructure and transition many functions to the cloud by going serverless with the help of Lambda. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. AWS continues to improve how it handles latency issues.

Lambda 181

Lambda AWS Serverless Hardware 181

Dynatrace

MAY 27, 2021

This new extension allows customers to deploy native Amazon ECS tasks in any target environment including traditional AWS managed infrastructure and now customer-managed infrastructure. Host registration to the ECS cluster is managed by System Manger and governed by AWS Identity and Access Manager (IAM). AWS System Manager.

AWS 131

AWS IoT Virtualization Infrastructure 131

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. Answered in Part 2.). Bottleneck Analysis.

Systems 60

Systems Latency Performance Analytics 60

cdemi

FEBRUARY 20, 2017

Serverless is currently a hot topic in many modern architectural patterns. Serverless systems are still in their infancy. There will be many advances in the field over the coming years and it will be fascinating to see how they fit into our architectural toolkit. Advantages and Disadvantages of Serverless. Advantages.

Serverless 64

Serverless Architecture Lambda Azure 64

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. For example, an objective for system availability can be: 90% – one 9. Dynatrace news. Promote automation.

Metrics 193

Metrics Best Practices DevOps Infrastructure 193

Dynatrace

SEPTEMBER 30, 2021

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. However, it can also mean migrating from one cloud to another.

Cloud 167

Cloud Traffic Best Practices Strategy 167

The Morning Paper

FEBRUARY 6, 2020

On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access. The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated. Consistency.

Lambda 98

Lambda Serverless Cache Latency 98

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. W3C Trace Context. But how is this relationship represented?

Open Source 200

Open Source Monitoring Google Systems 200

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on. What’s missing in this picture?

IoT 78

IoT Analytics Big Data Architecture 78

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Only teams that master their systems can make intentional trade-offs.

Performance 86

Performance Latency Metrics Engineering 86

Dotcom-Montior

NOVEMBER 11, 2020

In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. There is plenty to like about moving to a serverless architecture, but there can be some disadvantages compared to the traditional, monolithic model.

Serverless 57

Serverless Monitoring Lambda Latency 57

ACM Sigarch

DECEMBER 6, 2018

Orchestrate the processing flow across an end-to-end infrastructure. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. Four Research Areas for Visual Computing. Analyze/summarize Insights from Visual Streams. Yolo , ResNet50 ).

Wireless 54

Wireless IoT Analytics Architecture 54

The Morning Paper

SEPTEMBER 10, 2019

Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? Because they had too many data processing systems! ;). Typically, organizations build specialized infrastructure for each of these use cases. are divided. are divided.

Analytics 75

Analytics Latency Cache Google 75

O'Reilly

NOVEMBER 12, 2019

For the inaugural O’Reilly survey on serverless architecture adoption, we were pleasantly surprised at the high level of response: more than 1,500 respondents from a wide range of locations, companies, and industries participated. The high response rate tells us that serverless is garnering significant mindshare in the community.

Serverless 88

Serverless Architecture FinTech Infrastructure 88