Dzone - DevOps

JUNE 30, 2022

A properly managed and implemented observability system provides DevOps with granular insights that can be used to debug and heal complex systems. Observability combines monitoring, alerting, and logging with metrics visualization and its analysis. Let’s take a look! Kubernetes at Its Boom.

Tools 74

Tools Microservices Data Center Metrics 74

Dzone - DevOps

APRIL 21, 2023

The Kong API Gateway is highly performant and offers the following features: Request/Response Transformation : Kong can transform incoming and outgoing API requests and responses to conform to specific formats. Monitoring and Logging : Kong offers detailed metrics and logs to help monitor API performance and identify issues.

Load Balancer 87

Load Balancer Microservices Authentication Architecture 87

Dzone - DevOps

MARCH 7, 2023

One of the most common examples is the adoption of microservices. You need to find the right tools to monitor, track and trace these systems by analyzing outputs through metrics, logs, and traces. However, this also creates new challenges when it comes to observability.

Tools 75

Tools Microservices Metrics Architecture 75

CircleCI

JANUARY 24, 2022

Facilitating observability is one of DevOps’ critical aspects, because it enables monitoring applications and systems in real time. So, DevOps professionals often talk about monitoring or observability in the same way they speak of deployment or software development. Observability makes this possible. What is monitoring?

Software Development 52

Software Development Software Development Metrics 52

Apiumhub

SEPTEMBER 14, 2022

We constantly participate in software architecture, DevOps, QA, React, Nodejs, and other events as speakers, sponsors, moderators, or partners. DevOps Global Summit’22 (October 4-5). Global Summit React Summit. Global Summit React Summit. Geekle events are always huge! iOS Developers Global Summit’22 (October 11-12).

Software 65

Software DevOps Architecture Blockchain 65

OverOps

JULY 1, 2019

To maintain reliable software, DevOps practices and Site Reliability Engineering are being adopted to ensure the stability of software in fast-paced dev cycles. There are many types of analysis we can perform to ensure reliability, though, going far beyond the log files. stable) software.

Weak Development Team 250

Weak Development Team Artificial Inteligence How To Analysis 250

DevOps.com

FEBRUARY 7, 2020

New Relic has begun adding support for the W3C Trace Context standard within the agent software it uses to collect metrics for its application performance management (APM) platform. Distributed tracing makes it simpler for DevOps teams to track […].

DevOps 120

DevOps Metrics Performance Applications 120

Linux Academy

JUNE 28, 2019

DevOps has become an integral part of the cloud – in Google Cloud , AWS , and Azure. Job sites are exploding with employers looking for professionals with DevOps skills and experience. How can you make sure you have the sought-after DevOps skills to succeed in your current or future position? DevOps Monitoring Deep Dive.

Course 60

Course DevOps Training Linux 60

Kentik

JANUARY 31, 2023

We’ll look at how, by combining DevOps observability data with network telemetry, you can get strong, network-focused observability. Identifying Key Performance Indicators (KPIs) The first step toward comprehensive network observability is identifying your key performance indicators. Let’s begin with a discussion of KPIs.

Network 105

Network Analysis Data Center Metrics 105

OverOps

DECEMBER 18, 2018

As our recent survey shows , only 17% of organizations have fully adopted DevOps practices. How Netflix Thinks of DevOps. Netflix puts a big emphasis on DevOps environment and practices, but it doesn’t often talk about how it’s done within the company. The Data Behind DevOps: Becoming a High Performer.

Conference 185

Conference Serverless Weak Development Team DevOps 185

Daniel Bryant

SEPTEMBER 16, 2022

It’s on the hot path of every user request, and because of this, it needs to be performant, secure, and easily configurable. Most successful organizations base their goals on improving some or all of the DORA or Accelerate metrics. You want to maximize your deployment frequency while minimizing the other metrics.

Load Balancer 95

Load Balancer Cloud Continuous Delivery Microservices 95

DevOps.com

DECEMBER 6, 2022

Organizations are increasingly using distributed tracing to monitor their complex, microservice-based architectures. Distributed tracing has become essential in microservice applications, cloud-native and distributed systems.

Microservices 124

Microservices Serverless Architecture Applications 124

Agile Engine

FEBRUARY 13, 2024

Why automation testing is better than manual QA for most projects Manual testing involves step-by-step checks performed by QA teams according to test plans that are custom-tailored to specific products. Focuses on replicating user behaviors and assessing system performance. Measures reliability, speed, scalability, and responsiveness.

Testing 52

Testing Strategy Software Review How To 52

Daniel Bryant

OCTOBER 24, 2018

In order to effectively build cloud native microservices applications, your engineering organization has to adopt a culture of decentralized decision-making to move faster. The phrase “soup to nuts self-service” was chosen to convey the end-to-end nature of self-service required within the typical software development lifecycle.

Microservices 40

Microservices System Weak Development Team Engineering 40

Honeycomb

JANUARY 13, 2023

Exploring the Broader Observability Ecosystem of Cloud-Native, DevOps, and SRE. In this blog, we unpack how observability fits into the landscape of other modern practices, such as the DevOps, SRE (Site Reliability Engineering), and cloud-native movements. By Liz Fong-Jones. Chapter covered: 4. By George Miranda. By George Miranda.

DevOps 98

DevOps Culture Microservices Engineering 98

xmatters

JANUARY 11, 2023

Creating a Flexible Incident Response with AIOps With the widespread adoption of DevOps and the implementation of practices like continuous integration/continuous deployment (CI/CD), your developers and engineers need to monitor metrics and performance across platforms while using dispersed tools.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

xmatters

JANUARY 11, 2023

With the widespread adoption of DevOps and the implementation of practices like continuous integration/continuous deployment (CI/CD), your developers and engineers need to monitor metrics and performance across platforms while using dispersed tools. However, your teams won’t be able to monitor these metrics at all times.

Artificial Inteligence 52

Artificial Inteligence Metrics Systems Review Machine Learning 52

CircleCI

NOVEMBER 18, 2021

Systems have multiplied their components in the industry-wide shift to containers and microservices. AIOps saves time and hassle by performing a security function that human intelligence is poorly suited to handle. DevOps vs AIOps. However, AIOps is not here to replace DevOps or even compete with it.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

OverOps

DECEMBER 18, 2018

As our recent survey shows , only 17% of organizations have fully adopted DevOps practices. How Netflix Thinks of DevOps. Netflix puts a big emphasis on DevOps environment and practices, but it doesn’t often talk about how it’s done within the company. The Data Behind DevOps: Becoming a High Performer.

Conference 100

Conference Serverless Weak Development Team DevOps 100

LaunchDarkly

SEPTEMBER 13, 2018

And it supports like an extensible set of metric services and judges and cloud platforms and everything else. So internally, Netflix canaries, lots of different things, not just microservices, I think, like binary pushes to microservices are the dominant use case, but it’s not the only use case inside of Google.

Analysis 58

Analysis Metrics Performance Microservices 58

Battery Ventures

MARCH 10, 2021

DevOps Research and Assessment (DORA), a group that helps organizations boost their DevOps and organizational performance through data, pioneered critical metrics from the point of committing code to releasing code to production.

Engineering 64

Engineering Data Software Engineering Software Development 64

CircleCI

SEPTEMBER 22, 2021

Microservice architecture. In microservice architecture, developers build an application as a collection of discrete services (modules) with an efficient communication protocol binding them together. In a microservice, this means breaking down your application into its constituent services. Distributed systems best practices.

Systems Review 59

Systems Review System Microservices SOA 59

OverOps

JANUARY 30, 2019

Instead, we have complex, distributed systems with microservices and cloud computing solutions and continuous deployments. DevOps and SREs) are interested in for the purpose of answering these questions; anomaly detection and root cause analysis. There are 2 core capabilities that operations-types (e.g. But that’s not enough anymore.

Analysis 124

Analysis Weak Development Team How To Infrastructure 124

Datavail

APRIL 6, 2022

For example, refreshing your.NET applications makes it much easier to adopt modern IT best practices such as cloud computing and microservices. You can also take this opportunity to implement new methodologies such as DevOps and agile that help make your IT teams more productive and efficient. Selecting the right metrics.

Azure 52

Azure Metrics Test-Driven Development Applications 52

Linux Academy

JUNE 25, 2019

DevOps Monitoring Deep Dive. We’ll build a foundation of general monitoring concepts, then get hands-on with common metrics across all levels of our platform. MicroService Applications In Kubernetes. Devops Essentials. Looking for a basic introduction to the concept of DevOps? Database Essentials.

Linux 60

Linux Course Cloud Google Cloud 60

Honeycomb

DECEMBER 10, 2020

The widespread adoption of containers, microservices and orchestration have made it easier than ever to take a small bit of software and push it live in front of users — and, in doing so, push a whole bunch of comfortable tasks (debugging, profiling) into uncomfortable territory: production. A Developer Approach to Production.

Weak Development Team 52

Weak Development Team Development DevOps Metrics 52

Perficient

FEBRUARY 13, 2024

What is Microservices Architecture? Microservices Architecture Software development follows an architectural and organizational approach where small independent services communicate with each other through well-defined APIs. with DevOps tools like Jenkins with CI/CD, Docker, Ansible, Kubernetes, or other tools.

Microservices 105

Microservices Architecture Load Balancer MVC 105

Linux Academy

MAY 28, 2019

To use Docker Compose to deploy Microservices to Docker. Whether you are aggregating log files, system resource utilization metrics, or application data, Splunk is there to centralize your IT data for easy search and visualization. Devops Essentials – This course provides a basic introduction to the concept of DevOps.

Linux 104

Linux AWS Azure Technical Review 104

RapidValue

APRIL 24, 2020

What methodologies are used – e.g. Agile/DevOps/Microservices? What are their reporting guidelines and escalation matrix for deliverable and performance? What tools are used for reporting code & quality metrics, defect tracking, and management changes? What Quality Assurance metrics are tracked?

Software Development 78

Software Development Software Review Software Development 78

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 110

DevOps Weak Development Team Engineering Metrics 110

CloudGeometry

NOVEMBER 19, 2021

DevOps is a given in today’s software engineering world. Five or years ago, the writing was on the wall, and the DevOps Research Assessment project set out to quantify what separates leaders – the companies whose software is eating the world – from the laggards (who are now really struggling in the face of the pandemic).

DevOps 130

DevOps Metrics Agile Software Development 130

Altexsoft

OCTOBER 27, 2020

What Amazon did became a defining factor for DevOps , a set of software development and IT operations practices. The principles of DevOps became widely adopted, as it closely relates to a well-known Agile and basically serves as it’s extension. What is DevOps: processes and practices. What is DevOps: processes and practices.

DevOps 116

DevOps Tools Continuous Delivery Open Source 116

xmatters

JUNE 29, 2022

An incident commander, sometimes known as an incident manager, is usually an IT or a DevOps team member who’s responsible for overseeing incident response. One evening, network performance monitoring tools detect a huge spike in latency. The Role and Responsibilities of an Incident Commander.

Weak Development Team 52

Weak Development Team Resources Strategy Network 52

Altexsoft

MAY 27, 2020

One of the key requirements to the ML pipeline is to have control over the models, their performance, and updates. A feature store may also have a dedicated microservice to preprocess data automatically. To monitor the model performance and throughput. Machine learning production pipeline architecture. Generating predictions.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

Altexsoft

JULY 4, 2022

In large enterprises, there can be a separate role of an infrastructure security engineer to perform the above-mentioned duties. Infrastructure monitoring means constant gathering and analyzing performance and health data from different assets — such as hosts, servers, databases, virtual machines, containers, etc.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Apiumhub

MARCH 9, 2023

Apiumhub is a software partner with years of experience applying best practices that help technical teams deliver robust, scalable, and better-performing working software on time. Pioneers in the use of Scala, with more than ten years of experience in the language and its big data & microservice ecosystem.

Software Review 76

Software Review Technical Review Software Software Development 76

Xebia

FEBRUARY 20, 2023

The project involved decommissioning an extensive monolith Scala application into smaller microservices. First, our team actively contributed to all the DevOps lifecycle stages, from the development to the deployment across the different environments, including production.

Microservices 130

Microservices Software Review Resources Metrics 130