Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. Failures can occur unpredictably across various levels, from physical infrastructure to software layers.

130

130

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights?

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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. Canaries ), detection and improved KPIs.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 189

DevOps Engineering Artificial Intelligence Infrastructure 189

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 179

Azure Analytics Artificial Intelligence Innovation 179

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years. What is infrastructure monitoring? . Minimizes downtime and increases efficiency.

Infrastructure 199

Infrastructure Monitoring Virtualization Serverless 199

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Observability.

Software 194

Software Software Artificial Intelligence DevOps 194

Dynatrace

FEBRUARY 21, 2024

To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).

Speed 206

Speed Software Software Latency 206

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance.

Open Source 267

Open Source Hardware DevOps Infrastructure 267

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 176

Cloud Artificial Intelligence Innovation Analytics 176

Dynatrace

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential.

Innovation 259

Innovation Software Software Artificial Intelligence 259

Dynatrace

DECEMBER 16, 2022

Software should forward innovation and drive better business outcomes. But legacy, custom software can often prevent systems from working together, ultimately hindering growth. Data supports this need for organizations to flex and modernize. Conversely, an open platform can promote interoperability and innovation.

Innovation 196

Innovation Software Software Cloud 196

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 226

Storage Government Network Infrastructure 226

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 228

Artificial Intelligence Cloud Best Practices DevOps 228

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

DZone

MARCH 14, 2023

Site Reliability Engineering (SRE) is a systematic and data-driven approach to improving the reliability, scalability, and efficiency of systems. It combines principles of software engineering, operations, and quality assurance to ensure that systems meet performance goals and business objectives.

Engineering 246

Engineering Software Engineering Scalability Efficiency 246

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

Dynatrace

OCTOBER 19, 2023

It’s more important than ever for organizations to ensure they’re taking appropriate measures to secure and protect their applications and infrastructure. With the increasing frequency of cyberattacks, it is imperative to institute a set of cybersecurity best practices that safeguard your organization’s data and privacy.

Best Practices 208

Best Practices Benchmarking Speed Infrastructure 208

Dynatrace

SEPTEMBER 3, 2020

Commonly, AIOps solutions’ typical characteristics are to ingest pre-aggregated data from various solutions across the IT management tooling landscape and conclude what is of relevance in order to focus the user’s attention to the relevant situations. The second major concern I want to discuss is around the data processing chain.

Software 264

Software Software Artificial Intelligence Metrics 264

Dynatrace

MARCH 29, 2024

AI innovation elevates efficiency and performance of Google Cloud AI adoption is increasingly critical for any organization. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 261

Google Innovation Cloud Analytics 261

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

OCTOBER 30, 2023

With higher demand for innovation, IT teams are working diligently to release high-quality software faster. Data proliferation and the increased complexity of modern multicloud environments are nearly impossible to manage without automation. Quality and security gates help with understanding not only software quality but also security.

Engineering 245

Engineering DevOps Innovation Storage 245

Dynatrace

JUNE 7, 2023

If you’re evaluating container orchestration software to manage containerized applications at scale, you may be wondering about the differences between OpenShift and Kubernetes. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source 205

Open Source Social Media Infrastructure Operating System 205

Dynatrace

DECEMBER 21, 2023

Growing awareness and increasing regulatory scrutiny have propelled carbon emissions data into the public consciousness. Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Level 1: Data centers This is the starting point for most organizations. A PUE of 1.0

Cloud 208

Cloud Energy Best Practices Cache 208

Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. Safeguarding against vulnerabilities, data breaches, and emerging threats while meeting regulatory compliance, legal requirements, and customer expectations borders on the impossible without a holistic approach.

Design 216

Design Innovation DevOps Open Source 216

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. 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.

Network 325

Network Transportation AWS Cloud 325

Scalegrid

JANUARY 11, 2024

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. This includes servers, applications, software platforms, and websites. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

JULY 12, 2022

Park ‘N Fly has created a series of software-based services to enhance customer experience while patrons park. AIOps and observability for infrastructure management. But Park ‘N Fly’s services require software intelligence at every layer of the IT stack. Underlying many of these services is IT automation and observability. “We

Innovation 218

Innovation Infrastructure DevOps Azure 218

Dynatrace

OCTOBER 16, 2023

How do we make the data accessible beyond the use cases that Dynatrace gives you, beyond observability and security?” The road to modern observability As organizations continue to operate in the cloud, they discover that cloud observability becomes paramount to their ability to run efficiently and securely. Greifeneder said.

Innovation 196

Innovation DevOps Cloud Efficiency 196

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 214

Analytics Storage Retail Monitoring 214

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. Providing at-a-glance data makes it possible for teams to quickly identify high-level issues and then drill down into the details.

Engineering 225

Engineering DevOps Operating System Open Source 225

Dynatrace

FEBRUARY 16, 2023

But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. The cloud is delivering an explosion of data and an incredible increase in its complexity. We start with data types—logs, metrics, traces, routes. We have to do better than that,” McConnell said.

Artificial Intelligence 193

Artificial Intelligence Analytics Cloud Innovation 193

Dynatrace

FEBRUARY 15, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations and automated workflows. Further, according to a Gartner® report, by 2025, 95% of decisions that currently use data will be at least partially automated.*

Code 210

Code DevOps Cloud Analytics 210