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

The Netflix TechBlog

NOVEMBER 17, 2022

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Video downscaling is the most pertinent example herein, which tailors our encoding to screen resolutions of different devices and optimizes picture quality under varying network conditions. We have also measured a ~4.4%

Network 292

Network Media Innovation Efficiency 292

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. Organizations need to incorporate IT automation into their processes to take action on the data they gather. Greifeneder noted.

Innovation 197

Innovation DevOps Cloud Efficiency 197

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Suboptimal architecture design. Poorly designed cloud solutions can become costly over time. Aligning workload types and sizes with instance performance and capacity requirements is essential to keep costs down.

Best Practices 232

Best Practices Strategy Cloud AWS 232

Dynatrace

MARCH 14, 2024

The goal is to unify four key areas of the organization into one holistic service design and delivery approach. For example, an employee might not have the tools to efficiently retrieve data about a customer as they work to solve an issue. This could lead to frustration on both sides and create negative experiences.

Government 191

Government Strategy Best Practices Website 191

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 204

Cache Azure Infrastructure Monitoring 204

SQL Performance

JULY 8, 2021

I want to talk about UI design choices that lead to data access patterns that are awkward to implement using SQL Server. Consider this design: The data behind this example requires counting and processing the entire dataset in order to report the number of results. Sort By Column. Elasticsearch ). Conclusion.

Design 92

Design Software Architecture Database Servers 92

Dynatrace

JANUARY 18, 2024

Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns.

Artificial Intelligence 212

Artificial Intelligence Healthcare Government Technology 212

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 264

Data Engineering Engineering Processing Games 264

The Netflix TechBlog

MARCH 7, 2024

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. While human-friendly APIs are delightful, it is really the integrations to our production systems that give Metaflow its superpowers.

Systems 226

Systems Media Cache Open Source 226

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Edge Perspectives

MARCH 26, 2019

In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”

Efficiency 89

Efficiency Scalability Innovation Programming 89

Dynatrace

OCTOBER 17, 2023

As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. Ingest and process. In contrast, answer-centric pricing simply charges customers when they query data.

Retail 237

Retail Storage Best Practices Architecture 237

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 225

Monitoring Artificial Intelligence Performance Analytics 225

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

SEPTEMBER 20, 2022

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. DevSecOps best practices provide guidelines to help organizations achieve efficient and secure application design, development, implementation, and management.

Best Practices 262

Best Practices DevOps Education Serverless 262

Dynatrace

NOVEMBER 14, 2023

For example, how much does a reduction in MTTR impact revenue? These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. For example, generative AI has the potential to provide more intuitive methods of querying data.

Best Practices 191

Best Practices Engineering DevOps Software Engineering 191

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. blog Cloud application security is a combo of policies and processes that aim to reduce the risk of exposing cloud-based applications to threats.

Artificial Intelligence 229

Artificial Intelligence Cloud Best Practices DevOps 229

Dynatrace

SEPTEMBER 9, 2022

Application modernization centers on bringing monolithic, on-premises applications — which IT teams usually update and maintain with waterfall development processes — into cloud architecture and release patterns. Improved efficiency. With improved application efficiency, teams can service clients better and access cloud-native tools.

Strategy 226

Strategy Benchmarking Serverless Infrastructure 226

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

NOVEMBER 2, 2023

The result is smarter, data-driven solutions designed to manage cloud spend. FinOps becomes more critical as organizations grow The value of FinOps lies in its potential to move organizations toward financial success with smart, cost-efficient cloud spend implemented from day one. What is FinOps?

Cloud 195

Cloud Strategy Retail Energy 195

Dynatrace

SEPTEMBER 8, 2023

To achieve this, we’ll create a Grail bucket specifically designed to retain data for a duration of 10 years (3,657 days). These alerts serve as early business warnings, allowing you to take necessary measures to prevent disruptions and minimize delays in transaction processing.

Database 269

Database Artificial Intelligence Metrics Monitoring 269

Dynatrace

AUGUST 25, 2023

Yet upgrading antiquated systems and effectively integrating them into modern workflows is challenging despite the potential to increase efficiency, improve security, reduce the higher operational costs associated with supporting tech debt, and avoid the foreseeable breaks in end-of-life apps.

Government 203

Government Infrastructure Programming Cloud 203

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

MARCH 9, 2023

“There are too many manual processes,” said Michael Winkler, senior principal in product management at Dynatrace, during a Perform 2023 breakout session. But DevOps automation isn’t just about reducing manual effort and increasing process speed; it’s also about gaining insight with answer-driven operations.

DevOps 232

DevOps Infrastructure Software Software 232

Dynatrace

SEPTEMBER 28, 2021

Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal. Deployment frequency measures both long-term and short-term efficiency. For example, by measuring deployment frequency daily or weekly, you can determine how efficiently your team is responding to process changes.

DevOps 200

DevOps Metrics Traffic Efficiency 200

The Netflix TechBlog

NOVEMBER 29, 2023

Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. Shown below are rate versus quality examples for a couple of titles from our HDR catalog. We present two sets.

Open Source 252

Open Source Software Engineering Internet Internet 252

Strategic Tech

MAY 24, 2019

Over the past few years I have focused much of my learning and work choices around learning about the design of sociotechnical systems?—?how how to design software architectures and organise teams around them. As part of good design, we should consider the effects of changing all of these variables. isolate high risk areas).

Design 45

Design Software Architecture Strategy Technology 45

Official Blog - World Web Technology

SEPTEMBER 22, 2023

It’s no longer just about identifying orders online; it has grown into a complicated ecosystem that contains effortless order processing, real-time stock control, personalized experiences, and combined supply chain solutions. B2B customers now require the same comfort and efficiency they experience in B2C transactions.

Ecommerce 105

Ecommerce Development Efficiency Website 105

Scalegrid

JANUARY 9, 2024

The selection process for a suitable cloud provider is crucial as it involves aligning business objectives, regulatory requirements, and current technological infrastructure with strong cloud security measures. This process involves converting regular data into a coded form, which helps to protect its privacy and guard against cyber threats.

Strategy 130

Strategy Cloud Best Practices Government 130

Dynatrace

MAY 26, 2021

A great example of this is Dynatrace, that’s been doing SLA monitoring for years, which Jonah also shared in his talk. After all, it’s key to sample and store traces efficiently while not missing out on important events. OTel is designed to ensure flexibility and stability. So, the design of OTel allows for flexibility.

AWS 212

AWS Strategy Storage Metrics 212

Dynatrace

FEBRUARY 2, 2022

For example, the IT team of a bank wants to ensure that for a trailing 30-day period there is 99.9% For example, constant SLO violations of service availability for the check deposit application would create customer dissatisfaction leading to potential revenue impact. Let’s take service availability for example.

DevOps 196

DevOps Metrics Best Practices Latency 196

Brendan Gregg

APRIL 27, 2023

Observability tools are designed have the lowest overhead possible so that they are safe to run in production while analyzing an active performance issue. Keeping overhead low can require tradeoffs in other areas: tcpdump(8), for example, will drop packets if the system is overloaded, resulting in incomplete visibility.

Open Source 144

Open Source Monitoring Engineering Design 144

The Netflix TechBlog

OCTOBER 28, 2021

During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. CL provides an end-to-end solution for logging, processing, and analyzing user interactions on Netflix apps from all devices. What is your favorite project?

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. In addition, 45% of them have gone on to implement efficiencies in their roles, and 43% reported they were able to do their job more quickly after getting certified.

AWS 209

AWS Best Practices Analytics Cloud 209

Dynatrace

NOVEMBER 3, 2020

Davis, our radically different AI causation engine, automatically processes billions of dependencies and pinpoints the root cause of performance issues with unmatched precision. See the example request below for querying the first page: [link]. Leverage the power of the Davis AI with the new Problems REST API v2.

Metrics 245

Metrics Monitoring Efficiency Availability 245