Dynatrace

FEBRUARY 4, 2021

What is site reliability engineering? 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.

Engineering 257

Engineering DevOps Government Latency 257

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 182

Infrastructure Cloud Scalability AWS 182

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 174

Architecture Availability Infrastructure Monitoring 174

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 219

Infrastructure Big Data Transportation Architecture 219

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 181

Engineering DevOps Government Latency 181

InfoQ

APRIL 18, 2023

The company provides a comprehensive insight into its architecture, designed to manage real-time messages at scale. It highlights the unique challenges posed by delivering real-time messages across different time zones and regions and how Slack's engineers designed the infrastructure to handle them. By Eran Stiller

Architecture 101

Architecture Design Infrastructure Engineering 101

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 193

Analytics Infrastructure Storage Efficiency 193

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Suboptimal architecture design. This awareness is important when the goal is to drive cost-conscious engineering.

Best Practices 238

Best Practices Strategy Cloud AWS 238

High Scalability

AUGUST 27, 2018

This is article was written by Dirceu Pereira Tiegs, Site Reliability Engineer at Auth0, and originally was originally published in Auth0. We designed Auth0 from the beginning so that it could run anywhere: on our cloud, on your cloud, or even on your own private infrastructure. Core service architecture.

Architecture 244

Architecture Cloud Traffic Infrastructure 244

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Understand and optimize your architecture. Built for enterprise scalability. What is Lambda? What is Lambda SnapStart?

Lambda 229

Lambda AWS Serverless Latency 229

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 286

Serverless AWS Lambda Storage 286

Dynatrace

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. Serverless benefits include the following: Dynamic scalability. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. No infrastructure to maintain.

Serverless 169

Serverless Infrastructure Lambda Latency 169

High Scalability

FEBRUARY 19, 2021

This means a system that is not merely available but is also engineered with extensive redundant measures to continue to work as its users expect. reliability situations, where continuity of service is essential, with redundant elements continuously in-service, such as with airplane engines. This ensures reliability.

Engineering 215

Engineering Systems Scalability Availability 215

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. This is a rather simple move as it doesn’t directly impact your infrastructure, just your contract with your electricity provider. Application architectures might not be conducive to rehosting.

Cloud 214

Cloud Energy Best Practices Cache 214

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. Several promising ideas were abandoned owing to the outsized work needed to overcome architectural limitations.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

APRIL 7, 2023

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Despite being serverless, the function still requires infrastructure on which to run. What is a Lambda serverless function?

Lambda 221

Lambda AWS Serverless Latency 221

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. From the beginning, Grail was built to be fast and scalable to manage massive volumes of data.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

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 325

Network Transportation AWS Cloud 325

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Dynatrace news.

Testing 223

Testing Open Source Metrics Infrastructure 223

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 240

Analytics Artificial Intelligence Storage Serverless 240

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. Mesos supports several container orchestration engines and can launch Docker containers independently of the Docker daemon.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. It also removes the need for developers and database administrators to manage infrastructure or update database versions.

Azure 239

Azure Latency Metrics Infrastructure 239

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. The post Scalable MicroService Architecture appeared first on VoltDB. Real-World Example Problem. Where does VoltDB come in?

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. The post Scalable MicroService Architecture appeared first on VoltDB. Real-World Example Problem. Where does VoltDB come in?

Architecture 40

Architecture Scalability Ecommerce Latency 40

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Establish data governance.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

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 347

Open Source Java Operating System Programming 347

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle.

Best Practices 195

Best Practices Code Infrastructure Latency 195

Dynatrace

SEPTEMBER 9, 2022

Based on IDC’s research, 83% of enterprises are rationalizing, or optimizing, their technology infrastructure. According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. What is application modernization?

Strategy 232

Strategy Benchmarking Serverless Infrastructure 232

The Netflix TechBlog

NOVEMBER 3, 2023

On the Data Platform team, we build the infrastructure used across the company to process data at scale. By leveraging Flink SQL within a Data Mesh Processor, we were able to support the streaming SQL functionality without changing the architecture of Data Mesh. We plan on gradually expanding the supported capabilities over time.

Processing 265

Processing Engineering Infrastructure Latency 265

Dynatrace

DECEMBER 21, 2022

Partners are integral to the process and a necessity if organizations want to achieve faster, greater, and more scalable modernization. . Cloud modernization is the ongoing process of taking legacy applications and updating their features, architecture, or infrastructure to ensure they’re optimized for operating in cloud environments. .

Cloud 147

Cloud Architecture Strategy Scalability 147

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 249

Architecture Best Practices Engineering Open Source 249

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

High Scalability

JULY 18, 2022

Close is building the sales communication platform of the future and we're looking for a Site Reliability Engineer to help us accomplish that goal. Wynter is looking for system administrators, engineers, and developers to join its research panel. Participate in research surveys, get paid ($90-$180/hr) for your feedback and comments.

Education 100

Education DevOps Infrastructure Scalability 100

Dynatrace

MAY 8, 2023

DevOps monitoring is an observability practice that creates a real-time view of the status of applications, services, and infrastructure in pre-production and production environments. The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases.

DevOps 225

DevOps Efficiency Monitoring Infrastructure 225

Dynatrace

DECEMBER 5, 2022

Monitoring and logging tools that once worked well with earlier IT architectures no longer provide sufficient context and integration to understand the state of complex systems or diagnose and correct security issues. Automation versus orchestration. Get started with DevOps orchestration.

DevOps 215

DevOps Virtualization Innovation Best Practices 215

High Scalability

JANUARY 11, 2022

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. Architecture. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram.

Design 334

Design Media Storage Logistics 334