Datavail

OCTOBER 5, 2021

If you’re in the technology field and you live on planet earth, you’ve probably heard the term “microservices” thrown around. The purpose of this article will be to give you a familiarity with microservices and what it (not “they”) does. Microservices. Microservices is not just a buzzword. Microservices are more secure.

Microservices 81

Microservices eCommerce Architecture Applications 81

Honeycomb

NOVEMBER 6, 2024

Logs are time-stamped records generated by software applications, services, or network devices. Distributed tracing provides a high-level overview of how different services interact, helping teams understand the flow and performance of requests across microservices. What are logs? What are traces composed of?

Compliance 72

Compliance Applications System Performance 72

Honeycomb

JULY 9, 2024

The effect of network buffering and slow-sending clients becomes noticeable as a fixed cost to latency and throughput. That’s right: Graviton4 is so fast that what previously was a rounding error for receiving off the network and buffering the payload into memory cannot be eliminated no matter how fast the CPU gets.

AWS 128

AWS Engineering Metrics Network 128

Kentik

NOVEMBER 16, 2015

And any time you have to deal with something more than a single box can handle, you introduce a whole host of complications (network, NUMA, coordination, and serialization, to name just a few). KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. And that leads us to metrics.

Metrics 40

Metrics Microservices Linux Architecture 40

Gorilla Logic

JUNE 16, 2020

If you want to develop microservices or backend applications in Java and make use of innovative and new technologies while also reducing coding effort, speeding development time, and producing a more resilient application, you should consider using Jakarta EE and MicroProfile. MicroProfile optimizes Enterprise Java for microservices. .

Microservices 74

Microservices How To Metrics Applications 74

TechCrunch

OCTOBER 7, 2021

Alongside this, Chronosphere is also announcing a new set of tools specifically for distributed tracing, which will help make more granular observations and respond quicker to issues on the network as they arise. The underlying large-scale metrics storage technology they built was eventually open sourced as M3.

Cloud 209

Cloud Sport Open Source Machine Learning 209

OverOps

AUGUST 14, 2018

This especially becomes a stress point with the introduction of microservices. We can help developers troubleshoot more quickly, give metric and insight to DevOps to gauge the overall quality of software and fuel some new AIOps initiative. OverOps Data Within Your Splunk Metrics Dashboard.

Data 189

Data How To Metrics Artificial Inteligence 189

TechCrunch

FEBRUARY 4, 2022

She told me earlier today that “edtech is always in search of a magic metric, one that encompasses outcomes, engagement and, heck, even fun. In short, it’s turning discrete banking services into microservices. Been reading more French startup news in the last few quarters? Here’s why. You can sign up here.).

Banking 209

Banking Fintech Hotels Survey 209

Kentik

MARCH 6, 2019

As the complexity of microservice applications continues to grow, it’s becoming extremely difficult to track and manage interactions between services. Understanding the network footprint of applications and services is now essential for delivering fast and reliable services in cloud-native environments. A Refresh: Kubernetes Basics.

Network 63

Network Microservices .Net Load Balancer 63

Xebia

SEPTEMBER 30, 2021

Consumer lag is the most important metric to monitor when working with event streams. However, it is not available as a default metric in Azure Insights. Want to have this metric available as part of your monitoring solution? Alternatively, alert the application failing its health check or the consumer lag metric being missing.

Azure 130

Azure Metrics Groups Microservices 130

Abhishek Tiwari

SEPTEMBER 7, 2024

Microservices have become the dominant architectural paradigm for building large-scale distributed systems, but until now, their inner workings at major tech companies have remained shrouded in mystery. Meta's microservices architecture encompasses over 18,500 active services running across more than 12 million service instances.

Microservices 52

Microservices Architecture Systems Review Technical Review 52

Xebia

DECEMBER 9, 2023

Chaos Studio is not unique, there are many other tools that can do that, but what is unique about Azure Chaos studio, is that they can also introduce chaos on native Azure services like CosmosDB, Network Security Groups and Key vault. When you inject chaos in to your infrastructure, you quickly come to realize that you need metrics.

Innovation 130

Innovation Azure Microservices IoT 130

Netflix Tech

SEPTEMBER 8, 2020

How we migrated our Android endpoints out of a monolith into a new microservice by Rohan Dhruva , Ed Ballot As Android developers, we usually have the luxury of treating our backends as magic boxes running in the cloud, faithfully returning us JSON. You can read more about this in our previous posts here: part 1 , part 2. It was a Node.js

Microservices 97

Microservices Video Software Review Testing 97

Honeycomb

SEPTEMBER 8, 2021

Enterprise customers already have access to Honeycomb Metrics. Existing Free or Pro customers can request an Enterprise trial to try Honeycomb Metrics. Starting today, Honeycomb Metrics is now generally available to all Enterprise customers. But metrics do still provide value at the systems level.

Metrics 52

Metrics Systems Review Software Review Enterprise 52

The Citus Data

JULY 18, 2023

Schema-based sharding gives an easy path for scaling out several important classes of applications that can divide their data across schemas: Multi-tenant SaaS applications Microservices that use the same database Vertical partitioning by groups of tables Each of these scenarios can now be enabled on Citus using regular CREATE SCHEMA commands.

Microservices 98

Microservices Metrics Open Source IoT 98

Apiumhub

SEPTEMBER 17, 2023

While some authors will delve into software architecture topics unrelated to their books, they are more than eager to engage with GSAS attendees during networking sessions to discuss their upcoming releases. But microservices systems haven’t always kept that promise. This isn’t a book about theory.

Architecture 95

Architecture Software Review Software Weak Development Team 95

Xebia

FEBRUARY 20, 2023

The project involved decommissioning an extensive monolith Scala application into smaller microservices. The team used the Strangler Fig pattern to decommission the legacy system gradually in new Scala and modern microservices running in Kubernetes. We’ll put the focus on Kubernetes and the Java Virtual Machine ( JVM ).

Microservices 130

Microservices Resources Software Review Metrics 130

Netflix Tech

OCTOBER 19, 2020

Distributed Tracing: the missing context in troubleshooting services at scale Prior to Edgar, our engineers had to sift through a mountain of metadata and logs pulled from various Netflix microservices in order to understand a specific streaming failure experienced by any of our members. Trace Instrumentation: how will it impact our service?

Infrastructure 95

Infrastructure Microservices Systems Review Storage 95

Mobilunity

DECEMBER 26, 2024

Decompose these into quantifiable KPIs to direct the project, utilizing metrics like migration duration, savings on costs, and enhancements in performance. Think about refactoring to microservices or containerizing whenever feasible, to enhance performance in the cloud setting. lowering costs, enhancing scalability). How to prevent it?

AWS 52

AWS Cloud Weak Development Team DevOps 52

CircleCI

MAY 21, 2020

microservices, event streaming, modular monolith) Domain Driven Development (DDD) and Event Storming are very useful in determining the boundaries of deployment units. Illustration 2: Software environment metrics. The illustration above gives some metrics and techniques that can provide feedback at that level.

Architecture 122

Architecture Weak Development Team Metrics Culture 122

Honeycomb

NOVEMBER 10, 2020

This post describes how infrastructure metrics contribute to observability, and then walks you through the steps to start sending your own Kubernetes data into Honeycomb. Yes, metrics in Honeycomb. The agent will collect CPU, memory, file system, network, and uptime metrics from all nodes, pods, and containers.

Metrics 105

Metrics Infrastructure Resources System 105

Daniel Bryant

SEPTEMBER 16, 2022

Most successful organizations base their goals on improving some or all of the DORA or Accelerate metrics. DORA metrics are used by DevOps teams to measure their performance and find out whether they are “low performers” to “elite performers.” You want to maximize your deployment frequency while minimizing the other metrics.

Load Balancer 98

Load Balancer Cloud Continuous Delivery Microservices 98

CloudGeometry

MARCH 3, 2022

Billing events and unit metrics The variable cost model of cloud platforms has forever changed how compute resources are bought and paid for and consumed. This is known as a unit metric. The key economic touchstone in monetization is settling on a unit metric driven by value from the customer’s perspective.

Metrics 130

Metrics Architecture Cloud Strategy 130

Capgemini

MARCH 25, 2020

Designing the microservices: Start with the business focus for each service. Domain-driven design (aka DDD) is the de facto architecture pattern for microservices. This helps break up the complex system into data-driven microservices that reflect the business problem. Go beyond the twelve-factor design for microservices.

Microservices 40

Microservices Architecture Testing Metrics 40

Apiumhub

NOVEMBER 8, 2018

In these open spaces, we discussed very interesting topics like “feature branches vs. continuous integration”, “ monoliths vs microservices “, “how to manage diversity in our workplace”, Also, we shared the disastrous experiences we have had in production. Microservices vs Monolithic architecture.

Engineering 76

Engineering Microservices Case Study Architecture 76

Netflix Tech

APRIL 29, 2019

Open Connect Open Connect is Netflix’s content delivery network (CDN). video streaming) takes place in the Open Connect network. The network devices that underlie a large portion of the CDN are mostly managed by Python applications. If any of this interests you, check out the jobs site or find us at PyCon. are you logged in?

Machine Learning 112

Machine Learning Artificial Inteligence Open Source Infrastructure 112

Honeycomb

OCTOBER 11, 2023

The promise of standardization of deployments and scaling across different types of applications, from static websites to full-blown microservice solutions, has fueled this sharp increase. When we had a fixed amount of servers we dealt with, we’d add each of those servers as a dimension in our application metrics.

DevOps 111

DevOps Weak Development Team Engineering Metrics 111

Kentik

DECEMBER 11, 2018

Microservices (or sometimes called Microservice architecture ) - This refers to structuring an application with a collection of loosely coupled, lightweight services, each implementing a specific, granular piece of the application. Development teams can iterate or scale each microservice independent of the others, speeding development.

Architecture 45

Architecture Network Cloud Microservices 45

CIO

JANUARY 26, 2023

The dashboard produces a collection of infographics that make it possible to study each microservice or API and determine just how much it costs to keep it running in times of high demand and low. Tracking the cost of instances and pods across your multiple clouds is part of this larger job.

Tools 174

Tools Cloud Artificial Inteligence Artificial Intelligence 174

Apiumhub

NOVEMBER 30, 2022

This platform provides a set of technologies to build, deploy, run, and manage applications developed by composing together components (micro frontends, microservices, UI/UX elements, etc.) The Performance API is a set of standards that measure and analyze various performance metrics. and business capabilities. Conclusion.

UI/UX 89

UI/UX Technical Review Software Review TDD 89

Linux Academy

MAY 28, 2019

Courses Free in May: Network Routing Protocol Fundamentals – Network routing is the process of enabling computers to transfer data over networks, including the internet. This is an introductory course that is designed to give you a solid foundation in the basics of network routing. Build images using a Dockerfile.

Linux 104

Linux AWS Azure Technical Review 104

Netflix Tech

FEBRUARY 18, 2022

This network connection heterogeneity made choosing a single delivery model difficult. For alerting, in addition to the standard system health metrics such as CPU, memory, and performance, we added a number of “edge-of-the-service” metrics and logging to capture any aberrations from upstream or downstream systems.

Systems Review 133

Systems Review System Architecture Metrics 133

O'Reilly Media - Ideas

DECEMBER 6, 2018

Virtually all modern software and applications built today are distributed systems of some sort, says Sam Newman , director at Sam Newman & Associates and author of Building Microservices. As the volume of calls over the networks increases, the more you’ll start to see transient partitions and potentially have to deal with them.”.

Systems Review 107

Systems Review System Technical Review Technical Cofounder 107

Altexsoft

FEBRUARY 11, 2020

It enables you to quickly view and search a variety of information, including running processes, open network connections, hardware events, loaded kernel modules, and browser plugins. MISP provides functionality for inclusion with SIEMs, network intrusion detection systems, and the Linux Intrusion Detection System.

Tools 109

Tools Linux Analysis Open Source 109

CIO

NOVEMBER 29, 2023

If you choose not to use a cloud provider’s native services in order to remain agnostic, you lose many of the ‘better, cheaper, faster’ business case metrics,” says Holcombe. First, what services, such as microservices or serverless, are available from the cloud service providers to facilitate migration? Security is a good example.

Cloud 187

Cloud Technical Review Software Review Systems Review 187

Kentik

APRIL 3, 2023

Those calls could be for kernel services, network services, accessing the file system, and so on. Therefore, by looking at the interactions between the application and the kernel, we can learn almost everything we want to know about application performance, including local network activity. How does eBPF work?

Programming 110

Programming Network Load Balancer Linux 110

Kentik

DECEMBER 5, 2016

The ability of Kentik Detect to offer cloud-friendly network performance monitoring — Kentik NPM — was key to the recognition we earned. In a recent blog post by Kentik Solutions Engineer Eric Graham we explained how we “dog food” our own NPM solution to troubleshoot network performance issues within our own cloud-based application.

Network 40

Network Performance Metrics Software Review 40