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 198

Best Practices Code Infrastructure Latency 198

Dynatrace

JANUARY 26, 2021

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. When an application is triggered, it can cause latency as the application starts.

Serverless 245

Serverless Efficiency Lambda Azure 245

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

High Scalability

JANUARY 11, 2022

Architecture. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. This will not only reduce the overall latency in displaying the user-feeds to users but will also prevent re-computation of user-feeds. Sending and receiving messages from other users.

Design 334

Design Media Storage Logistics 334

Dynatrace

SEPTEMBER 18, 2020

Cloud-based application architectures commonly leverage microservices. 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.

Infrastructure 194

Infrastructure Latency Metrics Analytics 194

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

Artificial Intelligence 186

Artificial Intelligence Metrics Architecture DevOps 186

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. This is where a well-architected Content Delivery Network (CDN) shines.

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. This is where a well-architected Content Delivery Network (CDN) shines.

Architecture 52

Architecture Performance Internet Internet 52

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization.

Monitoring 230

Monitoring Metrics DevOps Scalability 230

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, if your SLO guarantees 99.5% For example, if your SLO is to deliver 99.5% Dynatrace news.

Metrics 200

Metrics Best Practices DevOps Infrastructure 200

cdemi

FEBRUARY 20, 2017

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. It just means that from Software Development perspective, servers are abstracted and outsourced to another entity, so you don't need to worry about it. Serverless systems are still in their infancy. Advantages.

Serverless 64

Serverless Architecture Lambda Azure 64

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 187

Lambda AWS Serverless Hardware 187

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

O'Reilly Software

DECEMBER 11, 2017

A message-based microservices architecture offers many advantages, making solutions easier to scale and expand with new services. The asynchronous nature of interservice interactions inherent to this architecture, however, poses challenges for user-initiated actions such as create-read-update-delete (CRUD) requests on an object.

Architecture 68

Architecture Government Latency Efficiency 68

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper. Why do we need a new reference architecture? Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

The Morning Paper

OCTOBER 11, 2020

Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. In the bent pipe architecture a satellite gathers and stores data until it is near a ground station, and then transmits whatever it has. Close-spaced constellation have much lower effective bandwidth, but also much lower latency.

Systems 125

Systems Latency Architecture Energy 125

The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. The desire for CPU efficiency and lower latencies is easy to understand. Enter Google!

Network 92

Network Transportation Latency Entertainment 92

The Morning Paper

MAY 19, 2019

Last week we learned about the [increased tail-latency sensitivity of microservices based applications with high RPC fan-outs. Seer uses estimates of queue depths to mitigate latency spikes on the order of 10-100ms, in conjunction with a cluster manager. So what we have here is a glimpse of the limits for low-latency RPCs under load.

Latency 80

Latency Hardware Network Architecture 80

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., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dotcom-Montior

NOVEMBER 24, 2021

Ok, so maybe that is an oversimplified example, but you get the point. Gone are the days of monolithic architecture. Today, there are a variety of architectures and systems in use. Today, there are a variety of architectures and systems in use. Blockchain is a good example of this. Onto the next project.

Systems 74

Systems Monitoring Hardware Network 74

The Symphonia

MAY 22, 2018

I started writing “ Serverless Architectures ” in May 2016. In the first example section I added a couple of paragraphs on “choreography over orchestration”. I also rewrote the section on Startup Latency since Cold Starts are one of the big “FUD” areas of Serverless. I thought a few folks might be interested.

Serverless 40

Serverless Architecture Lambda Azure 40

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This architecture does not apply computing resources to track the myriad data sources sending telemetry and continuously look for issues and opportunities that need immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

Brendan Gregg

JULY 2, 2021

biolatency Disk I/O latency histogram heat map. runqlat CPU scheduler latency heat map. There is already documentation as man pages and example files in the bcc and bpftrace repositories that you can link to, to help your customers understand the tool output. E.g., here's the execsnoop(8) example files in bcc and bpftrace.

Latency 145

Latency Cache Energy Systems 145

Dynatrace

JUNE 25, 2021

Already in the 2000s, service-oriented architectures (SOA) became popular, and operations teams discovered the need to understand how transactions traverse through all tiers and how these tiers contributed to the execution time and latency. Let me give you an example. In both cases, a broken trace will be the result.

Open Source 206

Open Source Monitoring Google Systems 206

Testsigma

JULY 23, 2020

This is a standalone software program which doesn’t depend on any internet connectivity for its working and its performance is not impacted because of any network related latencies. Few examples of desktop applications are MS-Word, Adobe Acrobat Reader, and calculator etc. These have clients and servers in their architecture.

Testing 63

Testing Internet Internet Latency 63

ACM Sigarch

MARCH 18, 2019

Existing systems can be studied with measurement, while prospective systems are most often studied by extrapolating from measurements of prior systems or via simulation software that mimics target system function and provides performance metrics. Can one both minimize latency and maximize throughput for unscheduled work? Little’s Law.

Systems 60

Systems Latency Performance Analytics 60

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Here are a few examples of actual Kubernetes use cases across various industries: E-commerce : Traffic to e-commerce platforms varies, particularly during sales, promotions, and holidays. have adopted Kubernetes.

Efficiency 103

Efficiency Cloud Healthcare Open Source 103

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. For example, as traffic increases, costs will too. This can dramatically decrease network latency and its effect on the end-user experience.

Cloud 172

Cloud Traffic Best Practices Strategy 172

Smashing Magazine

SEPTEMBER 28, 2022

Developing software is becoming easier as frameworks like React, Vue, or Angular become the go-to solution for creating even the simplest applications. Jamstack files usually use Markdown before being compiled to HTML, for example: author: Agustinus Theodorus title: ‘Title’ description: Description. Common Websocket Architecture.

Cache 126

Cache Performance Servers Social Media 126

The Morning Paper

NOVEMBER 15, 2020

Today’s paper choice is a wonderful example of pushing the state of the art on a single server. This makes the whole system latency sensitive. Putting together everything we’ve learned so far, the overall architecture of Pigasus looks like this: The reassembler is responsible for ordering TCP packets. Introducing Pigasus.

Servers 128

Servers Hardware Latency Design 128

Percona

JANUARY 24, 2023

This is not a problem for PostgreSQL alone; every database software needs to deal with this problem. For example, MySQL/InnoDB deals with this problem using a Doublewrite buffer from where a copy of the non-corrupt page can be obtained during the recovery. Lz4 is a good example.

Database 117

Database Benchmarking Open Source Latency 117

VoltDB

NOVEMBER 10, 2017

The performance consists of two aspects: throughput and latency. Humans will wait much longer than an API will since APIs have strict latency expectations due to timeouts. When you take a multi-tier approach to solve a data related problem, each layer you add to the composition of your solution, you are baking in a certain latency.

Database 40

Database Latency Architecture Open Source 40

VoltDB

NOVEMBER 10, 2017

The performance consists of two aspects: throughput and latency. Humans will wait much longer than an API will since APIs have strict latency expectations due to timeouts. When you take a multi-tier approach to solve a data related problem, each layer you add to the composition of your solution, you are baking in a certain latency.

Database 40

Database Latency Architecture Open Source 40

ScaleOut Software

JULY 14, 2021

For example, here are some scenarios in which stateful, real-time introspection can create important insights. ScaleOut Software’s Digital Twin Streaming Service provides precisely these capabilities. The post Adding New Capabilities for Real-Time Analytics to Azure IoT appeared first on ScaleOut Software.

IoT 52

IoT Azure Analytics Serverless 52

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications.

IoT 45

IoT Ecommerce Analytics Latency 45