Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 188

Infrastructure Monitoring Artificial Intelligence Open Source 188

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 189

Serverless Architecture Open Source Innovation 189

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 206

Architecture DevOps Monitoring Programming 206

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 194

Infrastructure Latency Metrics Analytics 194

The Netflix TechBlog

MARCH 5, 2019

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 186

Infrastructure Cloud Scalability AWS 186

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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. The post Dynatrace supports newly launched GKE Arm clusters appeared first on Dynatrace blog.

Google 240

Google Infrastructure Architecture Engineering 240

Dynatrace

DECEMBER 3, 2024

This blog post will explore these exciting developments and what they mean for organizations. This seamless integration accelerates cloud adoption, allowing enterprises to maximize the value of their AWS infrastructure and focus on innovation rather than managing observability configurations. group of companies.

AWS 256

AWS Cloud Performance Innovation 256

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

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 293

Serverless AWS Lambda Storage 293

Dynatrace

AUGUST 11, 2022

This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions. How FaaS fits in with SaaS, PaaS, and IaaS. Limited visibility.

Development 262

Development Serverless Best Practices Lambda 262

Dynatrace

APRIL 17, 2024

Without combining these signals in a unified AI-powered observability platform, monitoring apps, infrastructure, and troubleshooting issues are nothing more than a patchwork of manual correlation. You can now install OneAgent on Linux with s390 architecture. Next, set up log ingest. Are you running containerized applications on IBM Z?

Operating System 218

Operating System Energy Infrastructure Architecture 218

Dynatrace

FEBRUARY 23, 2022

Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. Infrastructure as code is also known as software-defined infrastructure, or software intelligence as code.

Serverless 278

Serverless Infrastructure Innovation DevOps 278

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation. What is generative AI? What is DevSecOps?

Artificial Intelligence 242

Artificial Intelligence Cloud Best Practices DevOps 242

The Netflix TechBlog

FEBRUARY 3, 2021

Our colleagues wrote a Netflix Tech Blog post describing the details of this architecture. The transition to the new federated architecture meant that many of our backend teams needed to adopt GraphQL in our Java ecosystem. Backward compatibility is even more critical when working in a Federated GraphQL architecture.

Open Source 246

Open Source Java Architecture Metrics 246

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. The Greenplum Architecture. The Greenplum Architecture. In order to get a good understanding of the Greenplum architecture, let’s first look at what an MPP database is.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

DECEMBER 4, 2024

Dynatrace and the AWS Well-Architected Framework ensure continuous optimization of cloud architecture, aligning with the key pillars of operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. It accelerates the process of validating and optimizing cloud infrastructure.

AWS 222

AWS Best Practices Lambda Infrastructure 222

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? Retain data.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

Dynatrace

SEPTEMBER 28, 2020

As part of the Cloud – Native Container Services report, ISG designed the Cloud-Native Observability Quadrant to help organizations select the best observability solution for cloud-native environments that use Kubernetes, service mesh, microservices, and serverless architectures.

Cloud 246

Cloud Serverless Innovation Architecture 246

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. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 263

Cloud Azure Analytics Open Source 263

Dynatrace

NOVEMBER 25, 2024

As more organizations move their operations to the cloud, it is crucial for teams to have visibility and control over their applications and infrastructure to ensure smooth and efficient operations. We are committed to helping you leverage the full potential of AWS, ensuring your cloud infrastructure is both robust and agile.

AWS 208

AWS Cloud Innovation Infrastructure 208

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 246

Analytics Artificial Intelligence Storage Serverless 246

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 127

Infrastructure Transportation Network Engineering 127

Dynatrace

DECEMBER 23, 2020

Distributed tracing follows an interaction by tagging it with a unique identifier, which stays with it as it interacts with microservices, containers, and infrastructure. It can also offer real-time visibility into user experience, from the top of the stack right down to the application layer and the large-scale infrastructure beneath.

Infrastructure 218

Infrastructure Cloud Monitoring Metrics 218

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 257

Architecture Best Practices Engineering Open Source 257

Dynatrace

FEBRUARY 10, 2023

Combining data lakes and warehouses for the best of both worlds ­— blog While organizations often choose between data lakes and data warehouses, a data lakehouse offers the best of both. How a data lakehouse brings data insights to life — blog While logs create yet another silo for IT managers, they also provide a goldmine of data.

Efficiency 287

Efficiency Performance Analytics DevOps 287

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 240

Processing Media Latency Innovation 240

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. I, Andreas Grabner, helped to bring the blog to life! T-Systems MMS provides a modern white box testing approach to validating release readiness for complex cloud architectures. Dynatrace news. a Jenkinsfile.

Testing 229

Testing Open Source Metrics Infrastructure 229

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 242

Azure Latency Metrics Infrastructure 242

Dynatrace

MAY 19, 2021

Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. Learn more about the Kubernetes architecture, options for running Kubernetes across a host of environments and the adoption patterns of cloud native infrastructure and tools.

Innovation 242

Innovation Azure Infrastructure Cloud 242

Dynatrace

JANUARY 26, 2021

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. Making use of serverless architecture. The Serverless Process.

Serverless 246

Serverless Efficiency Lambda Azure 246

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? Dynatrace news. How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

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 you need to know appeared first on Dynatrace blog. Dynatrace news.

Engineering 260

Engineering DevOps Government Latency 260

Dynatrace

OCTOBER 3, 2024

Trace your application Imagine a microservices architecture with hundreds of dependencies. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new logs app. Interact with data intuitively and easily and benefit from immediate, AI-supported insights.

Performance 259

Performance Architecture Innovation Latency 259

DZone

JULY 30, 2024

Gone are the days when developers handled app development, server logs, infrastructures, and other resources single-handedly. Serverless architectures offload routine tasks from developers and let them focus on app building. With the introduction of serverless computing , businesses can build and deploy applications much faster.

Serverless 173

Serverless Monitoring Scalability Architecture 173

DZone

SEPTEMBER 21, 2023

In today’s rapidly evolving technological landscape, organizations are increasingly embracing cloud-native architectures and leveraging the power of Kubernetes for application deployment and management. In this blog post, we will learn why a multi-cluster setup is needed? How does Istio Service Mesh work on multi-clusters?

Azure 202

Azure Games AWS Cloud 202

Dynatrace

DECEMBER 24, 2020

As organizations update their IT environments with the latest cloud-native technologies and architectures, teams need to weigh the effectiveness of traditional monitoring vs. modern, observability-based solutions to decide how to solve their existing challenges amid the growing complexity of their dynamic, multi-cloud environments.

DevOps 256

DevOps Cloud Infrastructure Monitoring 256