Strategic Tech

JANUARY 22, 2024

Architecture modernization initiatives are strategic efforts involving many teams, usually for many months or years. An AMET is an architecture Enabling Team that helps to coordinate and upskill all teams and stakeholders involved in a modernization initiative. They need a more loosely coupled architecture and empowered teams.

Architecture 98

Architecture Metrics Logistics Strategy 98

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 193

Operating System Energy Infrastructure Architecture 193

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. OpenTelemetry reference architecture. Logs, metrics, and traces make up the bulk of all telemetry data. Watch webinar now!

Open Source 208

Open Source Metrics Cloud Transportation 208

O'Reilly Software

OCTOBER 23, 2018

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I should start by saying this section does not offer a treatise on how to do architecture. Technology systems are difficult to wrangle. Our systems grow in accidental complexity and complication over time.

Strategy 100

Strategy Architecture Technology Technology 100

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Traffic 339

Traffic Latency Tuning Systems 339

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. But what happens when this machinery needs a transformation?

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved.

Architecture 220

Architecture Artificial Intelligence Cloud Open Source 220

Dynatrace

DECEMBER 10, 2020

I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. This blog summarizes our great conversation for the posed questions.

Strategy 169

Strategy Performance Logistics Monitoring 169

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 196

Cache Azure Infrastructure Monitoring 196

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Monitoring focuses on watching specific metrics. Logging provides additional data but is typically viewed in isolation of a broader system context. This approach is sufficient when systems failure modes are well understood.

Monitoring 209

Monitoring Metrics DevOps Scalability 209

Dynatrace

APRIL 30, 2019

At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD. Beyond basic metrics: Detecting Architectural Regressions.

Architecture 125

Architecture Open Source Azure Metrics 125

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. The company made these changes to support its ONETractor strategy, which seeks to deliver personalized, convenient shopping experiences anytime, anywhere.

Cloud 163

Cloud Ecommerce Performance Retail 163

Dynatrace

FEBRUARY 10, 2023

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. DevOps metrics and digital experience data are critical to this.

Efficiency 264

Efficiency Performance Analytics DevOps 264

Dynatrace

MAY 1, 2023

Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Define core metrics. Clean data and optimize quality.

Analytics 178

Analytics Artificial Intelligence Big Data Open Source 178

Dynatrace

JUNE 9, 2023

That’s because of the heterogeneity of the data their environments generate and the limitations of the systems they rely on to analyze this information. Research has found that 99% of organizations have embraced a multicloud architecture. What is DevOps maturity?

DevOps 174

DevOps Analytics Storage Metrics 174

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. Recovery time of the throughput metric.

Engineering 171

Engineering Tuning Latency Open Source 171

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. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. Thus, while business resilience is about protecting against unforeseen risk, it also enables an organization to develop a forward-looking strategy that helps it thrive in uncertain times.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

JANUARY 22, 2024

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. More generally, causal AI can contribute to explainable and fair AI systems.

Artificial Intelligence 197

Artificial Intelligence Healthcare Retail Government 197

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. Organizations need to unify all this observability, business, and security data based on context and generate real-time insights to inform actions taken by automation systems, as well as business, development, operations, and security teams.

Analytics 180

Analytics Software Software Storage 180

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. But, as resources move off premises, IT teams can lose visibility into system performance and security issues.

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. The following best practices aren’t just about enhancing the overall performance of a log management system.

Best Practices 232

Best Practices Analytics Artificial Intelligence Infrastructure 232

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. Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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

Strategic Tech

OCTOBER 13, 2021

If I can capture key information earlier, that gives me a good understanding of key elements of the business’s architecture, we can get to valuable conversations sooner. Most companies have their own language for talking about products, platforms, systems, value streams and so on. The product taxonomy definitions by Ross Clanton et al.

Architecture 52

Architecture Innovation Strategy Website 52

Dynatrace

APRIL 8, 2024

If system failures occur, teams must resolve them quickly and resolutely. Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Automate stress-testing and regulatory reporting requirements.

Analytics 189

Analytics Infrastructure Efficiency Technology 189

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. The coupling problem Until recently, video quality measurements were generated as part of our Reloaded production system. We call this system Cosmos. An overview of the Video Quality Service (VQS) in Cosmos.

Media 171

Media Innovation Metrics Latency 171

Dynatrace

JULY 7, 2022

In multicloud environments, IT teams often struggle to take timely action given a deluge of data and alerts for issues ranging from system performance, security risks, and application problems. This automatic system analysis provides continuous intelligence to IT operations, DevOps, and site reliability engineering (SRE) teams.

Artificial Intelligence 171

Artificial Intelligence Automotive DevOps Infrastructure 171

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. The deviating metric is response time. This process continues until the system identifies a root cause. The four stages of data processing.

DevOps 185

DevOps Artificial Intelligence Healthcare Innovation 185

Dynatrace

DECEMBER 16, 2022

But legacy, custom software can often prevent systems from working together, ultimately hindering growth. An open approach enables technologies to interoperate, whereas proprietary, legacy systems often create vendor lock-in and prevent interoperability and data integration. The platform approach vs. the best-of-breed approach.

Innovation 185

Innovation Software Software Cloud 185

Strategic Tech

JUNE 2, 2021

Modernizing an architecture usually take years. Even a decade or more is nothing out of the ordinary for large organizations who have accumulated legacy and heritage systems over long periods of time. As a result, there can be pressure to begin modernizing a part of the system that will have a clear business impact.

Architecture 52

Architecture Infrastructure Technology Technology 52

Dynatrace

APRIL 13, 2023

As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Incomplete.

Analytics 175

Analytics Java Infrastructure Cloud 175

Dynatrace

JUNE 28, 2021

Between multicloud environments, container-based architecture, and on-premises infrastructure running everything from the latest open-source technologies to legacy software, achieving situational awareness of your IT environment is getting harder to achieve. The challenge? Stage 2: Service monitoring. Stage 3: Diagnostics. Worth noting?

Infrastructure 172

Infrastructure Monitoring Artificial Intelligence Open Source 172

Tasktop

OCTOBER 18, 2021

Speaking about DevOps and OKRs, Mik shared some of his “lessons learned” from large-scale transformations that leveraged OKRs and Flow Metrics to create an end-to-end, organization-wide feedback loop, as well as pitfalls that snapped some organizations back into the waterfall ways of measuring delivery. Take a Course in Flow Metrics.

DevOps 52

DevOps Metrics Innovation Virtualization 52

Dynatrace

APRIL 5, 2024

Data Explorer “test your Metric Expression” for info result coming from the above metric. Following the previous metric (above) used for the SLO, the threshold employed is an average of 100 ms for the Key Performance Indicator (KPI) of DOM Interactive.

Efficiency 213

Efficiency Traffic Tuning Metrics 213

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. How exactly does it differ from machine learning? What is artificial intelligence?

Artificial Intelligence 166

Artificial Intelligence DevOps Analytics Cloud 166