Dzone - DevOps

JANUARY 23, 2022

Today, many applications run in a dynamic environment of microservices, which makes the software integration and delivery process complex. It is one of the most widely used strategies because it lowers the risk of moving updates into production, while simultaneously reducing the need for additional infrastructure.

Analysis 98

Analysis Microservices Infrastructure Strategy 98

Dzone - DevOps

SEPTEMBER 23, 2020

Anybody can merely advise you to move from a monolithic application to a microservices architecture, but from where and how are the questions that need critical analysis. You should approach this gradually, starting by containerize parts or all of an existing application without adopting a microservices architecture.

Cloud 126

Cloud Microservices Architecture DevOps 126

Dzone - DevOps

DECEMBER 3, 2023

Companies are adopting modern architectures like microservices, serverless computing, and utilizing the latest AI and machine learning techniques. In an era defined by the relentless drive towards digital transformation, IT landscapes are continuously evolving.

System 59

System Analysis Serverless Microservices 59

OverOps

JANUARY 30, 2019

But root cause analysis (RCA) should be standard across all tech teams. Instead, we have complex, distributed systems with microservices and cloud computing solutions and continuous deployments. That’s more or less where root cause analysis comes in. Anomaly Detection and Root Cause Analysis. That’s an anomaly.

Analysis 124

Analysis Weak Development Team How To Infrastructure 124

Honeycomb

OCTOBER 13, 2022

In our Authors’ Cut series, we’ve been looking at the trees that make up the observability forest—among them, CI/CD pipelines , Service Level Objectives , and the Core Analysis Loop. As practitioners, cloud-native is the thing that enables us to deliver faster by allowing us to deploy microservices as containerized workloads.

DevOps 52

DevOps Cloud Technical Review Systems Review 52

Mobilunity

JULY 16, 2021

CI CD DevOps methodologies refer to Continuous Integration and Continuous Delivery. As these practices ensure fast delivery and improve software quality, they are an essential part of DevOps consulting services. So how do DevOps CI/CD services differ, and what do they mean? Continuous Integration Microservices.

DevOps 98

DevOps Continuous Delivery Continuous Integration Software Development 98

TechCrunch

SEPTEMBER 15, 2021

He added, “Relyance is actually embedded within the DevOps pipeline of our customers’ infrastructure. ” Leila R.

Compliance 226

Compliance Microservices Policies Machine Learning 226

Dzone - DevOps

DECEMBER 8, 2023

As a regulated financial service provider, our applications are bank-grade Java microservices running in Docker container images. As an integral part of our service operations readiness, we conduct thorough performance analysis and troubleshooting for our services running in the Docker infrastructure for the following purposes:

Applications 96

Applications Microservices Fintech Banking 96

Honeycomb

JANUARY 31, 2022

January 31, 2022 – Honeycomb , the leading observability platform used by high-performance engineering teams to quickly visualize, analyze, and improve cloud application quality and performance, today announced that it was named Best Observability Solution in the 2021 DevOps Dozen² Awards. San Francisco, Calif., About Honeycomb. Honeycomb .

DevOps 52

DevOps Microservices Engineering Conference 52

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. Continuous Reliability is dependent on two core capabilities: data collection and data analysis. Data Analysis. stable) software. Data Collection.

Weak Development Team 250

Weak Development Team Artificial Inteligence How To Analysis 250

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

Datavail

JULY 6, 2021

Additionally, containers are the building blocks in the implementation of Microservice Application Architecture. Microservices afford developers the ability to separate applications into specific units of work, which can speed up Enterprise system development. Supporting microservices. Automating repetitive functions.

Microservices 114

Microservices DevOps Applications Agile 114

Dzone - DevOps

JUNE 17, 2020

Threat modeling can be used as part of security risk analysis to systematically iterate over possible threat scenarios. Unfortunately, the threat landscape expands and new threats, threat agents, and attack vectors emerge at all times. Defending against these threats requires that organizations are aware of such threats and threat agents.

Analysis 97

Analysis Tools Research System 97

Prisma Clud

OCTOBER 19, 2023

Having pivoted away from traditional monolithic application models, today’s DevOps teams routinely leverage technologies like containers and serverless architectures to build microservices-based applications distributed across vast ecosystems. Video: Learn how to remediate misconfigurations, first in code and then in the cloud.

Software Review 80

Software Review Cloud Weak Development Team DevOps 80

d2iq

JANUARY 5, 2023

From testing for security vulnerabilities to building business-driven security services, everyone is accountable for building security into the DevOps continuous integration and continuous delivery (CI/CD) workflow. Because of this, DevSecOps was introduced into the DevOps framework to make security a shared responsibility.

Engineering 81

Engineering Software Review DevOps Compliance 81

Dzone - DevOps

OCTOBER 6, 2023

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

AWS 78

AWS Performance Applications Cloud 78

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. When properly correlated with network telemetry, it can even help you with root cause analysis. Ongoing analysis of network telemetry data is crucial for maintaining network health and performance.

Network 105

Network Analysis Data Center Metrics 105

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

Trigent

MAY 20, 2022

With the increased adoption of DevOps principles to accelerate release velocity, testing has shifted left to be embedded in the earlier stages of the development process itself. TestOps for effective DevOps – QA integration. What differentiates TestOps. Ensure quality at scale with TestOps.

Applications 52

Applications DevOps Testing Microservices 52

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. So here’s that same conceptual overview of what a typical canary deployment for microservice looks like.

Analysis 58

Analysis Metrics Performance Microservices 58

OverOps

AUGUST 12, 2019

It considers established baselines and averages to pinpoint anomalies and immediately notify DevOps and SRE teams of events that require immediate resolution. The powerful combination of data and analysis is the key to enterprise scale observability and reliability. True Root Cause. Conclusion.

Metrics 207

Metrics Data SDLC Machine Learning 207

Tenable

JANUARY 19, 2024

A security investigation revealed that the DevOps team had accidentally created an over-privileged Amazon Machine Image (AMI) on a public IP. The privileges were included as part of the DevOps team’s template, so that every time a new AMI was spun up, it was creating an over-privileged and vulnerable instance.

Cloud 75

Cloud Architecture DevOps Policies 75

O'Reilly Media - Ideas

APRIL 30, 2019

This shift is an important part of a trend we call the Next Architecture , with organizations embracing the combination of cloud, containers, orchestration, and microservices to meet customer expectations for availability, features, and performance. This isn’t too surprising, given the essential role microservices play in that industry.

Infrastructure 104

Infrastructure Cloud Company Survey 104

OTS Solutions

AUGUST 16, 2023

Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms. Sentiment analysis can thus help businesses and marketers not only track their brand reputation but also to predict and respond to customers’ needs. Role of DevOps in Digital Engineering.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

Sentiment Analysis for social media monitoring Sentiment analysis is crucial in monitoring social media platforms. Sentiment analysis can thus help businesses and marketers not only track their brand reputation but also to predict and respond to customers’ needs. Role of DevOps in Digital Engineering.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Modus Create

JUNE 21, 2022

However, the DevOps culture often neglects security in favor of faster releases. A critical pre CI/CD security tool, IDE plugin performs static analysis of a developer’s code directly from their IDE. This security analysis and feedback helps developers detect flaws in the early stages of software development. .

Software Review 52

Software Review Open Source Systems Review Analysis 52

Dzone - DevOps

OCTOBER 16, 2021

By making it easy to manage microservices-based apps at scale, Kubernetes helps SRE teams achieve reliability goals for complex, cloud-native environments. Kubernetes in general is a boon for SREs.

Microservices 105

Microservices Cloud Comparison Engineering Management 105

Abhishek Tiwari

JULY 22, 2023

Checkov: Checkov is a static code analysis tool. Open Policy Agent (OPA) for Kubernetes Policies A technology company manages a Kubernetes cluster to deploy microservices. For instance, terraform-compliance can enforce that all AWS EC2 instances have specific tags defined or that all Google Cloud resources have encryption enabled.

Policies 52

Policies Compliance Software Review AWS 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

Honeycomb

OCTOBER 21, 2021

Investing in engineering community events to further drive awareness, training, and customer enablement toward integrating observability into their modern DevOps, SRE, and software development practices as they continue to proactively transform their digital businesses.

Microservices 52

Microservices Engineering DevOps Performance 52

Openxcell

JANUARY 19, 2022

Simply said, DevSecOps is a DevOps extension with a clear focus on security. What is the difference between DevOps vs. DevSecOps. DevSecOps DevOps It seeks to identify innovative solutions by removing silos between development teams and IT experts, allowing both parties to collaborate. How to implement DevSecOps. Analyzing code.

Software Review 52

Software Review Technical Review Compliance DevOps 52

Exadel

APRIL 2, 2021

2) It improves data gathering and analysis. We build systems that take advantage of web-scale and microservice architectures, and we deploy advanced systems into cloud and cloud-hybrid infrastructure. DevOps Services. Our team swapped the legacy code for a cloud application with a microservices architecture. Learn more.

Case Study 52

Case Study Microservices Architecture eCommerce 52

Modus Create

JUNE 1, 2020

At Modus, this is a question that often presents itself when architecting a client’s application solution or aiding in building out infrastructure and DevOps pipelines. This phase then helps to drive our team of experienced engineers and DevOps personnel towards areas of a customer’s system that require deeper dives and threat modeling.

Software Review 75

Software Review Development Team Review Technical Review Systems Review 75

Apiumhub

JUNE 2, 2022

This year GOTO covers topics like APIs, artificial intelligence, ethics & security, microservices, Cloud computing and so much more.

Software Review 52

Software Review Technical Review Fractional CTO Conference 52

Linux Academy

MAY 28, 2019

To use Docker Compose to deploy Microservices to Docker. With your own instance, you can follow along as we secure our standalone Splunk instance, configure monitoring and alerting, and finally index some log data to perform search and visualization analysis. Docker Deep Dive In this course we will cover Docker 18.09.4,

Linux 104

Linux AWS Azure Technical Review 104

OverOps

APRIL 6, 2020

Containers, service meshes, microservices, immutable infrastructure and declarative APIs exemplify this approach. This aligns with what we’re seeing at our customers – containers and microservices have long ago crossed the chasm. The official definition of cloud native is available right here.

Microservices 40

Microservices Nonprofit Linux Cloud 40