The Netflix TechBlog

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! Given our role on this critical path, accuracy is paramount. Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability.

Cache 213

Cache Azure Infrastructure Monitoring 213

Dynatrace

MARCH 27, 2024

How to efficiently introduce team ownerships Dynatrace provides different ways of associating team ownership with entities and adding desired team metadata, such as contact details, to your environments. Import teams It is necessary to get ownership team information into the system and keep it updated. Contact us to schedule a demo.

Best Practices 208

Best Practices Azure Database Code 208

Dynatrace

JULY 6, 2022

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. Automating IT practices without integrated AIOps presents several challenges. IT automation tools can achieve enterprise-wide efficiency. By tuning workflows, you can increase their efficiency and effectiveness.

Artificial Intelligence 198

Artificial Intelligence Tuning Strategy Big Data 198

Dynatrace

DECEMBER 6, 2022

Automation presents a solution. Observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. Comprehensive observability eliminates siloed views of the system and establishes a common means to observe, measure, and act on insights.

DevOps 227

DevOps Metrics Engineering Speed 227

Dynatrace

AUGUST 7, 2023

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. Visit our booth, number #2608, at Black Hat and c heck out our guide below.

DevOps 194

DevOps Analytics Best Practices Java 194

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 223

Analytics Storage Retail Monitoring 223

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. This blog post lists the important database metrics to monitor. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

FEBRUARY 15, 2023

Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. Evolving threats: New security threats and vulnerabilities are constantly emerging.

Cloud 181

Cloud DevOps Code Open Source 181

Testsigma

SEPTEMBER 28, 2021

Test automation is required to perform this whole process efficiently and repeatedly. Therefore, it is important to test the application behaviour on iOS, also make sure that essential content is not presented via Flash. Here efficiency means that the test automation process when implemented, should result in ROI as soon as possible.

Efficiency 71

Efficiency Testing Testing Tools Website 71

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 260

Engineering DevOps Government Latency 260

Dynatrace

JANUARY 16, 2020

In part one, we began our discussion about intellectual debt by pointing out how machine learning systems contribute to the widening gap between what works and our understanding of why it works. Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency.

Cloud 158

Cloud Artificial Intelligence Virtualization Efficiency 158

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. In this blog post, we will discuss some of these challenges and how to overcome them. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

Serverless 216

Serverless Lambda Azure AWS 216

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 190

Analytics Storage Retail Monitoring 190

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work.

Monitoring 209

Monitoring Serverless Programming Speed 209

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work.

Monitoring 208

Monitoring Serverless Programming Speed 208

Dynatrace

NOVEMBER 11, 2021

Despite the fact that more than 80% of organizations now employ multicloud architecture, “hyperscaler” clouds such as AWS, Google Cloud and Microsoft Azure present monitoring and management issues for cloud practitioners. The post AWS re:Invent 2021 shines light on cloud-native observability appeared first on Dynatrace blog.

AWS 222

AWS Cloud Lambda Azure 222

Dynatrace

FEBRUARY 15, 2023

This is only possible because of our no-index approach and massive parallel processing capabilities, which enable Dynatrace to offer extra-long data retention (15+ months) at full granularity that is cost-efficient and fast. How often have you spent time decluttering or trying to make sense of the information presented on a dashboard?

Analytics 239

Analytics Social Media Metrics Efficiency 239

Dynatrace

MAY 24, 2021

With three sessions delivered around the globe and all but two presentations delivered live, it was great to set attendance records, and this is a testament to the strength of our partners and the community they create. The post Partner sales kick-off summary & NORAM awards: Amplify appeared first on Dynatrace blog.

Programming 239

Programming Cloud Virtualization Technology 239

Dynatrace

MARCH 11, 2021

It’s been a while since my last blog article on managing Dynatrace Managed at scale. During the implementation of the real-time visualization I presented in part three , I had an idea for another visualization; I wanted to visualize the number of detected problems globally, for a longer timeframe. Dynatrace news.

Tuning 265

Tuning Architecture Monitoring Big Data 265

Dynatrace

JULY 25, 2022

Automate cloud operations and trigger remediation workflow to enhance efficiency. For example, performance degradations, improper functionality, or lack of availability (that is, problems that represent anomalies in baseline system performance). The Dynatrace problem-detection-and-analysis advantage. Log Viewer. Log Events.

AWS 226

AWS Transportation Network Traffic 226

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. These insights are critical to ensuring proactive application monitoring and optimal system performance. Could you tell me how this might help me understand if a system was compromised?” Showing a list of key processes.

Government 236

Government DevOps Infrastructure Network 236

Dynatrace

MARCH 22, 2021

As a Network Engineer, you need to ensure the operational functionality, availability, efficiency, backup/recovery, and security of your company’s network. But manual configuration of observability for systems like this is nearly impossible. The post Simplified observability for your SNMP devices appeared first on Dynatrace blog.

Metrics 245

Metrics Network Infrastructure Traffic 245

Dynatrace

SEPTEMBER 28, 2020

I wanted to present as much information as possible. This is where the consolidated API, which I presented in my last post , comes into play. Getting the problem status of all environments has to be efficient. Websockets allows efficient data push via multicast to browsers and D3.js Lightweight architecture. js framework.

Storage 215

Storage Architecture Tuning Efficiency 215

Dynatrace

AUGUST 2, 2022

Malicious attackers have gotten increasingly adept at identifying vulnerabilities and launching attacks to exploit these weak points in IT systems. But they also need a better strategy to address these attacks if they have IT systems and live applications that are already compromised. – blog. DevOps vs. DevSecOps – blog.

DevOps 130

DevOps Strategy Open Source Java 130

Dynatrace

SEPTEMBER 7, 2022

Dynatrace’s ingestion of logs also enables organizations to automate cloud-related log tasks by doing the following: automatically identifying the precise root cause of a problem in real time to simplify cloud complexity; automating cloud operations and triggering remediation workflow to enhance efficiency; and.

Traffic 224

Traffic AWS Network Cloud 224

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 184

Engineering DevOps Government Latency 184

Dynatrace

DECEMBER 16, 2019

Even small amounts of technical debt compound as new code branches from old, further embedding the shortcomings into the system. The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt. Technical Debt—Dilbert Comic Strip on 2017-01-03.

Artificial Intelligence 153

Artificial Intelligence Traffic Efficiency Innovation 153

Dynatrace

AUGUST 28, 2020

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Also, more detailed blog posts for selected Azure services are coming soon.

Azure 160

Azure Cloud Tuning Monitoring 160

Dynatrace

MAY 26, 2021

This blog dives into what we learned by listening to experts in the field and the key takeaways we gathered from the talks. To improve their alerting system, the team decided to move to SLO/SLI-based alerting, which require deeper knowledge of the application but are more helpful than generalized metric alerts. We second that.

AWS 221

AWS Strategy Storage Metrics 221

Dynatrace

JULY 9, 2019

This month we’re presenting ZigiWave – the company behind ZigiOps, the software that allows enterprises to share relevant data seamlessly between their management systems. Expanding IT systems can lead to extreme data management challenges and major headaches for any organization. Wrapping up.

DevOps 172

DevOps Scalability Systems Technology 172

Dynatrace

MAY 24, 2021

With three sessions delivered around the globe and all but two presentations delivered live, it was great to set attendance records, and this is a testament to the strength of our partners and the community they create. The post Partner sales kick-off summary & NORAM awards: Amplify appeared first on Dynatrace blog.

Programming 178

Programming Cloud Virtualization Technology 178

Dynatrace

MAY 20, 2020

Running metric queries on a subset of entities for live monitoring and system overviews. Every metric has metadata properties that are important for efficiently querying data. Example 2: Query the average Apdex for mobile apps aggregated by app and operating system for the last two hours. Creating customized metric reports.

Metrics 234

Metrics Operating System Tuning Monitoring 234

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications.

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. These systems are often difficult to scale because the underlying ML engine doesn’t provide continuous, real-time insight into the precise root cause of issues.

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

The Netflix TechBlog

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the last section, we will attempt to feed your curiosity by presenting a set of opportunities that will drive our next wave of impact for Netflix.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

NOVEMBER 23, 2020

Today’s highly dynamic, heterogeneous, and complex software systems require organizations to establish observability for all provided cloud-native services. T o get performance insights into applications and efficiently troubleshoot and optimize them, you need precise and actionable analytics across the entire software life cycle.

Metrics 152

Metrics Open Source Tuning Analytics 152