Dynatrace

NOVEMBER 22, 2022

Five-nines availability has long been the goal of site reliability engineers (SREs) to provide system availability that is “always on.” Site reliability engineering teams often measure system availability in percentages in the pursuit of 100% uptime. What is always-on infrastructure?

Infrastructure 246

Infrastructure Availability Systems Retail 246

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 245

Serverless Architecture Open Source Innovation 245

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

SEPTEMBER 18, 2020

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Cloud-based application architectures commonly leverage microservices. Extend infrastructure observability to WSO2 API Manager.

Infrastructure 263

Infrastructure Latency Metrics Cloud 263

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. SRE focuses on automation. SRE drives a “shift left” mindset.

Engineering 245

Engineering DevOps Government Latency 245

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 246

Engineering Development Infrastructure Cloud 246

The Netflix TechBlog

APRIL 12, 2022

By Alex Hutter , Falguni Jhaveri and Senthil Sayeebaba Over the past few years Content Engineering at Netflix has been transitioning many of its services to use a federated GraphQL platform. In a federated graph architecture, how can we answer such a query given that each entity is served by its own service?

Engineering 271

Engineering Architecture Java Infrastructure 271

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 225

Infrastructure Big Data Transportation Architecture 225

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.

Engineering 245

Engineering Tuning Latency Open Source 245

Dynatrace

MARCH 29, 2024

Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams. Engineering teams are overwhelmed with stuff to do.” The post Enhancing Kubernetes cluster management key to platform engineering success appeared first on Dynatrace news.

Engineering 264

Engineering DevOps Operating System Cloud 264

DZone

JUNE 22, 2023

Architects, DevOps, and cloud engineers are gradually trying to understand which is better to continue the journey with: the API gateway, or adopt an entirely new service mesh technology?

DevOps 312

DevOps Architecture Innovation Infrastructure 312

The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 185

Infrastructure Cloud Scalability AWS 185

Dynatrace

JULY 13, 2022

Arm architecture. Today, Google announced virtual machines (VMs) based on the Arm architecture on Compute Engine called Tau T2A , which are optimized for cost-effective performance for scale-out workloads, as well as GKE Arm. Meet Davis, our powerful AI-engine | Dynatrace. For some, that means looking to the?

Google 246

Google Infrastructure Architecture Engineering 246

DZone

MARCH 5, 2024

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures. Forbes estimates that cloud budgets will break all previous records as businesses will spend over $1 trillion on cloud computing infrastructure in 2024.

Availability 288

Availability DevOps Infrastructure Scalability 288

The Netflix TechBlog

JUNE 7, 2021

Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. These metrics are visualized using Lumen , a self-service dashboarding infrastructure. What is BPF?

Network 327

Network Transportation AWS Cloud 327

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.

Architecture 189

Architecture Availability Infrastructure Metrics 189

Dynatrace

JULY 24, 2024

As we did with IBM Power , we’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Z and LinuxONE architecture (s390x). Learn more about the new Kubernetes Experience for Platform Engineering.

Availability 279

Availability Infrastructure Metrics Hardware 279

DZone

JUNE 20, 2023

As a platform engineer of many years now, Kubernetes has become one of those ubiquitous tools that are simply a must-have in many of our clients’ tech stacks. Platform engineers also need to test their Kubernetes infrastructure and manifests and often resort to using dedicated cloud environments to do so, which can be quite expensive.

Testing 276

Testing Azure AWS Cloud 276

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 325

Serverless AWS Lambda Storage 325

Uber Engineering

JULY 22, 2021

We built a team with varied … The post Containerizing Apache Hadoop Infrastructure at Uber appeared first on Uber Engineering Blog.

Infrastructure 145

Infrastructure Analytics Engineering Architecture 145

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JULY 18, 2024

Navigate digital infrastructure complexity In today’s rapidly evolving digital environment, organizations face increasing pressure from customers and competitors to deliver faster, more secure innovations. Use case: Digital infrastructure change The problem is not always in the application.

Monitoring 278

Monitoring DevOps Infrastructure Games 278

Uber Engineering

DECEMBER 19, 2019

Every day around the world, millions of trips take place across the Uber network, giving users more reliable transportation through ridesharing, bikes, and scooters, drivers and truckers additional opportunities to earn, employees and employers more convenient business travel, and hungry … The post Uber Infrastructure in 2019: Improving Reliability, (..)

Infrastructure 145

Infrastructure Transportation Network Engineering 145

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 264

Analytics Storage Infrastructure Metrics 264

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture 255

Architecture Best Practices Engineering Open Source 255

Dynatrace

MARCH 13, 2025

OpenTelemetry provides a common set of tools, APIs, and SDKs to help collect observability signals from applications and infrastructure endpoints. OpenTelemetry Astronomy Shop demo application architecture diagram. You can also use it to test different OpenTelemetry features and evaluate how they appear on backends.

Open Source 147

Open Source Metrics Architecture Infrastructure 147

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 246

Analytics Infrastructure Storage Architecture 246

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

OCTOBER 10, 2022

Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. No infrastructure to maintain. Because cloud providers own and manage back-end infrastructure, local IT teams aren’t responsible for ongoing maintenance and upgrades. Architectural complexity. Reduced latency.

Serverless 241

Serverless Infrastructure Lambda Latency 241

Dynatrace

JULY 7, 2022

AIOps and observability—or artificial intelligence as applied to IT operations tasks, such as cloud monitoring—work together to automatically identify and respond to issues with cloud-native applications and infrastructure. The framework forms the basis of the SAE (Society of Automotive Engineers) automation levels 1 through 5 for cars.

Artificial Intelligence 245

Artificial Intelligence Automotive DevOps Infrastructure 245

Dynatrace

DECEMBER 13, 2023

By deploying applications as many separate microservices managed by Kubernetes, these environments can become complicated, especially if the organization has a multi-cloud, hybrid-cloud architecture, or is using elements of a legacy-cloud environment. So many tools can result in data inconsistencies.

Google 264

Google Cloud Infrastructure Metrics 264

Dynatrace

JANUARY 16, 2023

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Some companies are still using different tools for application performance monitoring, infrastructure monitoring, and log monitoring. Now, Dynatrace applies Davis, its AI engine, to monitor the new log sources.

Cloud 264

Cloud Azure Analytics Open Source 264

Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures. The AI engine AI delivers precise answers about the IT environment.

Network 246

Network Monitoring Performance Traffic 246

The Netflix TechBlog

FEBRUARY 9, 2021

The Growth Engineering team is responsible for executing growth initiatives that help us anticipate and adapt to this change. For more background on Growth Engineering and the signup funnel, please have a look at our previous blog post that covers the basics. We need to be constantly adapting and innovating as a result of this change.

Engineering 145

Engineering Scalability Architecture Innovation 145

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

OCTOBER 8, 2024

Transform your operations today with the new Problems app and stay ahead in the ever-evolving software and cloud infrastructure landscape. In the realm of cloud infrastructure management, having a clear and concise view of your deployment’s health is crucial. The root cause is shown in the context of Infrastructure & Operations.

Infrastructure 264

Infrastructure Cloud Speed Architecture 264