Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

JUNE 13, 2022

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Adopting cloud-native technologies and open source software makes applications more feature rich and scalable, but it also increases IT complexity.

Open Source 222

Open Source DevOps Java Innovation 222

Dynatrace

SEPTEMBER 30, 2021

Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. In cloud computing environments, infrastructure and services are maintained by the cloud vendor, allowing you to focus on how best to serve your customers. Increased scalability.

Cloud 165

Cloud Traffic Best Practices Strategy 165

Dynatrace

DECEMBER 6, 2021

Taking an end-to-end responsibility for our customers’ critical infrastructure and applications, we are always striving to optimize the performance of our industrialized platform. The Dynatrace Platform already supported over 60 technologies and an extensible architecture – making Dynatrace the natural choice.

Innovation 176

Innovation Strategy Technology Technology 176

Dynatrace

SEPTEMBER 30, 2019

When thousands of lives are at risk, software infrastructure can make the difference between life and death. That’s why traceability, scalability, and reliability are crucial aspects of a cloud strategy, and for this county, OpenShift and Dynatrace delivered on these needs. Why Dynatrace and OpenShift.

DevOps 160

DevOps Traffic Website Infrastructure 160

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. In 2009, the purveyor of online videos migrated to AWS cloud infrastructure to deliver its entertainment to a growing audience. Dynatrace news.

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

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. The post Site reliability engineering: 5 things to you need to know appeared first on Dynatrace blog.

Engineering 176

Engineering DevOps Government Latency 176

Dynatrace

OCTOBER 20, 2020

Certified for Red Hat OpenShift, Dynatrace is now available on the Red Hat Marketplace for customers to try, buy, and deploy, to manage their enterprise applications and infrastructure across their dynamic multi-cloud environments. Driving a customer-centric approach with Red Hat OpenShift .

Automotive 154

Automotive DevOps Software Software 154

Uber Engineering

MARCH 13, 2018

To build and maintain infrastructure at scale, easy access to the current state of the system is paramount.

Infrastructure 75

Infrastructure Engineering Systems Scalability 75

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Grail is designed for scalability, with no technical prerequisites or additional hosting and storage costs as ingestion rates increase. Read more about Grail buckets and access policies from this blog.

Retail 237

Retail Storage Best Practices Architecture 237

Dynatrace

AUGUST 28, 2020

With the acceleration of complexity, scale, and dynamic systems architectures, under-resourced IT teams are under increasing pressure to understand when there is abnormal behavior, identify the precise reason why this occurred, quickly remediate the issue, and prevent this behavior in the future.

IoT 161

IoT Infrastructure Monitoring Innovation 161

Dynatrace

MAY 4, 2022

As part of its Distributed Cloud research series , the Enterprise Strategy Group (ESG) surveyed 387 North American IT professionals responsible for managing application infrastructure. Many more currently have plans to develop cloud-native applications based on microservices architectures.

Cloud 183

Cloud DevOps Strategy Monitoring 183

The Netflix TechBlog

AUGUST 30, 2021

The Partner Infrastructure team at Netflix provides solutions to support these two significant efforts by enabling device management at scale. Together, they form the Device Management Platform, which is the infrastructural foundation for Netflix Test Studio (NTS). In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

APRIL 5, 2021

Organizations can offload much of the burden of managing app infrastructure and transition many functions to the cloud by going serverless with the help of Lambda. Lambda’s toolbox of automated processes helps developers streamline to build fast, robust, and scalable applications on accelerated timelines.

Lambda 180

Lambda AWS Serverless Hardware 180

Uber Engineering

AUGUST 7, 2018

As part of our robust and scalable metrics infrastructure, we built … The post M3: Uber’s Open Source, Large-scale Metrics Platform for Prometheus appeared first on Uber Engineering Blog.

Open Source 104

Open Source Metrics Infrastructure Scalability 104

All Things Distributed

DECEMBER 8, 2016

Earlier this year, Amazon Web Services (AWS) announced it would launch a new AWS infrastructure region in Montreal, Quebec. Given this, enterprises, public sector bodies, startups, and small businesses are looking to adopt agile, scalable, and secure public cloud solutions. Scalability. in the coming year. Performance.

AWS 155

AWS Cloud Lambda Innovation 155

Edge Perspectives

JANUARY 21, 2019

I recently wrote a blog post suggesting that the ultimate test of transformation is whether the caterpillar became a butterfly – is it so different that it’s unrecognizable? It’s Martin Luther King Day in the US and I can’t think of a better day to declare that I have a dream and to explore that dream in a blog post.

Innovation 104

Innovation Scalability Efficiency Mobile 104

Dotcom-Montior

NOVEMBER 11, 2020

In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. Scalability. The primary challenge being not able to access the underlying infrastructure metrics. Benefits of a Serverless Model.

Serverless 57

Serverless Monitoring Lambda Latency 57

Testsigma

AUGUST 24, 2020

Lack of Testing Infrastructure: Often, organizations embark on the path of embracing Continuous Testing, without realizing the budgetary needs for it. A half-way journey to continuous testing without adequate infrastructure only adds to the woes of the testing team and doesn’t help anyone.

Testing 69

Testing Open Source Scalability Latency 69

Adrian Cockcroft

JANUARY 31, 2023

I had also turned down a job offer at that time, and when I called back in 2004 they took me on as a Distinguished Engineer in their Operations Architecture team. There were some good successful projects, like a new scalable search engine with real-time index updates, but it became frustrating.

Google 52

Google Transportation Programming Innovation 52

Dynatrace

APRIL 17, 2024

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability. You can now install OneAgent on Linux with s390 architecture.

Operating System 205

Operating System Energy Infrastructure Architecture 205

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 200

Architecture Serverless Azure Programming 200

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

The Netflix TechBlog

FEBRUARY 9, 2021

For more background on Growth Engineering and the signup funnel, please have a look at our previous blog post that covers the basics. In particular, we’ll define plans and offers, review the legacy architecture and some of its shortcomings, and dig into our new architecture and some of its advantages.

Engineering 142

Engineering Scalability Architecture Innovation 142

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 280

Serverless AWS Lambda Storage 280

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The return on agility delivers business value by allowing you adapt rapidly, while remaining focused on your core competencies rather than distracted by operating IT infrastructure. blog comments powered by Disqus. All Things Distributed. Comments ().

AWS 118

AWS Hardware Traffic Best Practices 118

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. blog comments powered by Disqus. All Things Distributed. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

Uber Engineering

FEBRUARY 22, 2018

In 2014, Uber Engineering built Schemaless , our fault-tolerant and scalable datastore, to facilitate the rapid growth of our company. As our … The post Code Migration in Production: Rewriting the Sharding Layer of Uber’s Schemaless Datastore appeared first on Uber Engineering Blog.

Code 93

Code Storage Scalability Engineering 93

Percona

JUNE 12, 2023

So why not use a proven architecture instead of starting from scratch on your own? This blog provides links to such architectures — for MySQL and PostgreSQL software. You can use these Percona architectures to build highly available PostgreSQL or MySQL environments or have our experts do the heavy lifting for you.

Architecture 95

Architecture Availability Open Source Healthcare 95

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. FaaS vs. monolithic architectures. But what is FaaS? What is FaaS? But how does FaaS fit in?

Development 251

Development Serverless Best Practices Lambda 251

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 268

Artificial Intelligence Analytics Storage Architecture 268

The Netflix TechBlog

JANUARY 10, 2024

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. This architecture shift greatly reduced the processing latency and increased system resiliency.

Processing 229

Processing Media Latency Innovation 229

High Scalability

APRIL 16, 2019

In this three-part blog series, we introduced a High Availability (HA) Framework for MySQL hosting in Part I, and discussed the details of MySQL semisynchronous replication in Part II. This concludes our 3-part blog series on the MySQL High Availability (HA) framework using semisynchronous replication and the Corosync plus Pacemaker stack.

Availability 149

Availability Network Azure AWS 149

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 236

Azure Latency Metrics Infrastructure 236

Dynatrace

APRIL 2, 2024

for more than a few blogs, but that’s not why we’re here. Mistake #3: Leaving the developers behind Immutable infrastructure and clean upgrades. Easy scalability. The last decade brought a wave of digital transformation that accelerated the move towards cloud-native tech, specifically Kubernetes.

Virtualization 228

Virtualization Cloud Infrastructure Code 228

Testsigma

SEPTEMBER 15, 2020

The framework provided by the tool follows a particular structure and architecture, this results in a properly managed framework. As we have seen in the above point, the codeless test automation tools follow a structured architecture with reusability being the key element. The test cases created via these tools are more reliable too.

Testing 59

Testing Testing Tools Code DevOps 59