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

LaunchDarkly

SEPTEMBER 13, 2018

The one that the vast majority of deployments use, you get canary analysis for free, so you don’t have to enable it or configure it. Nevertheless, both companies use automated canary analysis techniques internally. And it supports like an extensible set of metric services and judges and cloud platforms and everything else.

Analysis 58

Analysis Metrics Performance Microservices 58

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. Debugging with the Core Analysis Loop and what to Build vs. Buy.

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. DevOps vs AIOps. However, AIOps is not here to replace DevOps or even compete with it. Your typical AIOps is configured as a digital guard dog, alerting traditional DevOps teams to errors and anomalies.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

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

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

O'Reilly Media - Ideas

MAY 1, 2019

60 Minutes to Better Product Metrics , July 10. First Steps in Data Analysis , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. Introduction to Statistics for Data Analysis with Python , June 17. Network DevOps , June 6. Microservice Fundamentals , July 10.

Course 47

Course Training Artificial Inteligence Machine Learning 47

RapidValue

FEBRUARY 24, 2020

So an AI-enabled solution could review the current status of test, recent code changes, code coverage, and other metrics, and decide which tests to run. AI can help with the static analysis of the software to decide which areas of the code are not covered by unit tests. Use Cases – Integrating Artificial Intelligence in Testing.

Artificial Inteligence 83

Artificial Inteligence Artificial Intelligence Software Review Testing 83

OverOps

AUGUST 1, 2018

Today I’m happy to launch the OverOps Platform, which includes many new features that extend our value to DevOps and SREs. Meet OverOps Platform Which includes many new features that extend our value to DevOps and SREs. Containers and microservices have become a default standard for the way we architect new applications.

DevOps 37

DevOps Microservices Machine Learning Artificial Inteligence 37

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

Modus Create

JUNE 18, 2021

This mainly involves gathering information on: Tools such as DevOps pipelines, CI/CD, and static analysis solutions. For example: PASTA (Process for Attack Simulation and Threat Analysis) – Perspective of the attacker. Most of their important metrics and KPIs revolve around growth, such as LTV, Churn, and MRR.

Software Review 52

Software Review Development Team Review Technical Review Systems Review 52

Altexsoft

MAY 27, 2020

Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements. A feature store may also have a dedicated microservice to preprocess data automatically. Generating predictions. Orchestration.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

OTS Solutions

MAY 2, 2023

MLOps (machine learning operations) is the process of moving machine learning models into production with the help of data scientists, DevOps engineers, etc. Embrace AIOps (AI operations) to support multi-cloud and microservices. Deliver more machine learning to production with MLOps (machine learning operations) and ModelOps.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

Mobilunity

JULY 29, 2021

Why do companies use microservices with DevOps/cloud solutions, and what are the advantages and possible pitfalls of microservices integration? Microservices in a Nutshell. The sole build pipeline creates a bottleneck for releasing too big and too complex products, and here’s where microservices come into play.

Continuous Delivery 52

Continuous Delivery Microservices DevOps Architecture 52

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Bernd Rucker

MAY 27, 2020

Which brings us to microservices. Managing Decentralized Workflow Engines Instead of central platforms I advocate for an approach that every team runs its own engine , especially in a microservices context. This means that with microservices you deliberately accept a wild mix of Camunda installations! Are all engines doing well?

Programming 52

Programming Company Architecture Technical Review 52

RapidValue

FEBRUARY 23, 2020

It also helps the developers in constantly inspecting the code, perform automatic reviews and also run analysis to detect code quality issues. In addition to this, it provides a set of features like the ability to record metrics, evolution graphs and the like.

Continuous Integration 80

Continuous Integration Software Review Open Source AWS 80

OverOps

AUGUST 14, 2018

This especially becomes a stress point with the introduction of microservices. Using both static and dynamic code analysis, we capture complete, code-aware insight into every known and unknown error and exception at the moment they occur. OverOps links from Splunk to OverOps Root Cause Analysis Screen.

Data 189

Data How To Metrics Artificial Intelligence 189

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. Currently available for AWS and Azure.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Just a few notes on methodology: This report is based on O’Reilly’s internal “Units Viewed” metric. Microservices saw a 20% drop.

Trends 119

Trends Technical Review Technology Artificial Inteligence 119

xmatters

MAY 5, 2021

Incident management tools play an important role in modern DevOps, but developers and DevOps teams do not always understand why. But in modern applications composed of interdependent containers and microservices, a single failure often cascades to other services. Postmortem Incident Analysis.

Tools 98

Tools How To Weak Development Team DevOps 98

xmatters

MAY 5, 2021

Incident management tools play an important role in modern DevOps, but developers and DevOps teams do not always understand why. But in modern applications composed of interdependent containers and microservices, a single failure often cascades to other services. Postmortem Incident Analysis.

Tools 97

Tools How To Weak Development Team DevOps 97

Honeycomb

JUNE 14, 2022

Metrics – Aggregate measures tracked over time. DevSecOps – Something to do with security and DevOps. You see, there are these things called traces, metrics, and logs, which are data about your programs that come in specific formats. There is a serious word soup problem with observability. Observability!

Weak Development Team 98

Weak Development Team Metrics System Tools 98

LogRocket

OCTOBER 30, 2018

By design, an observable system should emit metrics/logs/traces. Uptime monitor and tracing with DataDog DataDog seamlessly aggregates metrics and events across the full DevOps stack. Assuming a typical microservice architecture, the React app is Dockerized for deployment in any cloud provider.

Weak Development Team 40

Weak Development Team Metrics Software Review Microservices 40

xmatters

MAY 5, 2021

Incident management tools play an important role in modern DevOps, but developers and DevOps teams do not always understand why. But in modern applications composed of interdependent containers and microservices, a single failure often cascades to other services. Postmortem Incident Analysis.

Tools 52

Tools How To Weak Development Team DevOps 52

BPM

JANUARY 18, 2019

The microservice movement will reignite the need for orchestration. Some analyst is bound to rename BPM engines to Microservice Orchestration Engines (MOE).wait Process mining will be incorporated into larger suites of professional business process analysis tools. wait did I just do that.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Modus Create

FEBRUARY 1, 2022

When building complex applications, development teams often employ a microservice architecture pattern to achieve a maintainable, testable, and loosely coupled service structure. This helps explore how a particular request is handled to aid application analysis or debugging. Tracking progress and providing metrics to leadership.

Software Review 59

Software Review Systems Review Weak Development Team Off-The-Shelf 59

Openxcell

FEBRUARY 8, 2021

So, it would help if you had some key metrics to evaluate the best platform. The mobile app development platform architecture should support various API mediation, microservices, event-driven, serverless requirements to build a robust mobile application. DevOps Support. Core Back-end Services. Monitoring and Analytics.

Software Review 52

Software Review Mobile Weak Development Team Software 52

ParkMyCloud

AUGUST 29, 2019

In the last step, you set up a processing pipeline to automate transcription and NLP analysis, and run analytics and visualizations on the results. ARC201 – Comparing serverless and containers – Microservices are a great way to segment your application into well-defined, self-contained units of functionality.

AWS 12

AWS How To Serverless Microservices 12

Confluent

MAY 29, 2019

In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices. I’m an avid Gradle fan, having spoken on the subject many times at conferences and written custom plugins for a variety of different development and DevOps use cases. Introduction.

Groups 93

Groups Windows Testing Microservices 93

CircleCI

JUNE 4, 2021

Microservices. There’s an expression in devops known as “paved roads.” Curious how metrics can keep your team focused on value delivery? Eric Anderson, Principal, Scale Venture Partners. What not to do. Early stage: 20-50 engineers. Delivering value must, at this point, be the foremost priority, not lines of code written.

Software 136

Software Technical Cofounder Engineering Culture 136

Abhishek Tiwari

SEPTEMBER 10, 2017

Kubernetes can be an ultimate local development environment particularly if you are wrangling with a large number of microservices. Heapster enables multi-level monitoring and performance analysis including pods, nodes, and cluster. With this workflow, you can code and test changes immediately.

Development 49

Development Software Review Systems Review Continuous Integration 49

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Faster ingestion was needed to reduce overall analytics latency. .

Data 84

Data Disaster Recovery Analytics Microservices 84

RapidValue

FEBRUARY 8, 2021

The service currently available in preview scales automatically while handling millions of unique time-series metrics from large container deployments. AMP also supports all metric types, including summary, counter, gauge, and histogram. Amazon HealthLake.

AWS 52

AWS Serverless Open Source Machine Learning 52