Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight.

Cloud 195

Cloud Systems Analytics DevOps 195

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 349

Traffic Latency Tuning Systems 349

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. Sticky Canary is an improvement to the traditional canary process that addresses this limitation.

Traffic 287

Traffic Metrics Systems Strategy 287

The Netflix TechBlog

JUNE 1, 2023

In this blog post, we’ll discuss the methods we used to ensure a successful launch, including: How we tested the system Netflix technologies involved Best practices we developed Realistic Test Traffic Netflix traffic ebbs and flows throughout the day in a sinusoidal pattern. Basic with ads was launched worldwide on November 3rd.

Traffic 351

Traffic Best Practices Systems Testing 351

DZone

OCTOBER 8, 2024

It’s a go-to database for many projects dealing with Online Transaction Processing systems. In this blog post, we’ll see other scenarios where PostgreSQL shines and will explain how to use it in these cases. In this blog post, we’ll see other scenarios where PostgreSQL shines and will explain how to use it in these cases.

Analytics 263

Analytics Database Processing Systems 263

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 253

Latency Cache Infrastructure Strategy 253

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Typically an MPP system has one leader node and one or many compute nodes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

DZone

OCTOBER 11, 2023

Cloud-native integration platforms have emerged as potent drivers of business transformation, enabling seamless connections between diverse applications and systems. This informative blog delves into the world of leading cloud-native integration platforms, spearheading significant changes in the business arena.

Cloud 278

Cloud Scalability Efficiency Systems 278

The Netflix TechBlog

MARCH 14, 2023

User provides a sample image to find other similar images Prior engineering work Approach #1: on-demand batch processing Our first approach to surface these innovations was a tool to trigger these algorithms on-demand and on a per-show basis. Processing took several hours to complete. Maintaining disparate systems posed a challenge.

Media 301

Media Innovation Energy Architecture 301

The Netflix TechBlog

DECEMBER 23, 2020

By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system. It runs a wide variety of workloads from various parts of the company?—?everything

Media 297

Media Metrics Systems Processing 297

The Netflix TechBlog

SEPTEMBER 10, 2024

One issue that often complicates this process is the "noisy neighbor" problem. On Titus , our multi-tenant compute platform, a "noisy neighbor" refers to a container or system service that heavily utilizes the server's resources, causing performance degradation in adjacent containers.

Latency 251

Latency Metrics Programming Monitoring 251

Dynatrace

JANUARY 26, 2021

DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. DevOps has gained ground in recent years as a way to combine key operational principles with development cycles, recognizing that these two processes must coexist.

DevOps 281

DevOps Best Practices Open Source Tuning 281

Dynatrace

APRIL 28, 2021

Each entry represents a process group instance. With the integration of issue tracking systems and configurable dynamic queries, Dynatrace shows you issue statistics and links to issues, alongside the related releases. Release information from issue tracking systems. What is the state of the change log for the new version?

Software 243

Software Software Strategy Metrics 243

Dynatrace

FEBRUARY 10, 2023

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. What is a data lakehouse?

Efficiency 287

Efficiency Performance Analytics DevOps 287

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache 235

Cache Latency Traffic Systems 235

Dynatrace

OCTOBER 29, 2024

Dynatrace transforms this unstructured data into a strategic advantage, processing it automatically—no manual tagging required. By automating root-cause analysis, TD Bank reduced incidents, speeding up resolution times and maintaining system reliability. With over 2.5 The result?

Innovation 230

Innovation Strategy Cloud AWS 230

Dynatrace

AUGUST 20, 2024

Information related to user experience, transaction parameters, and business process parameters has been an unretrieved treasure, now accessible through new and unique AI-powered contextual analytics in Dynatrace. Lack of visibility into business processes to improve, optimize, and remediate issues and systems harms business success.

Analytics 219

Analytics Latency Processing Systems 219

Dynatrace

AUGUST 27, 2024

For example, look for vendors that use a secure development lifecycle process to develop software and have achieved certain security standards. Integration with existing processes. This can require process re-engineering to fill gaps and ensuring clear communication and collaboration across security, operations, and development teams.

Best Practices 276

Best Practices Government DevOps Analytics 276

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. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Cloud 363

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242

Cloud Media Storage Cache 242

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

AUGUST 10, 2023

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. The key challenges include: Business data is often difficult to access, resulting in fragile data pipelines.

Database 236

Database Metrics Retail Analytics 236

Dynatrace

DECEMBER 12, 2021

In summary, the Log4Shell exploit allows an attacker to instruct the vulnerable system to download, and subsequently execute, a malicious command. Sensitive Data Access – Do the vulnerable Java processes access critical databases or file systems in the environment? Application List – Which applications use these libraries?

Java 244

Java Internet Internet Database 244

Dynatrace

MARCH 29, 2024

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. Learn to boost system reliability through proactive issue detection.

Google 273

Google Innovation Cloud Analytics 273

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 273

Data Engineering Engineering Processing Games 273

Dynatrace

JANUARY 5, 2021

It offers automated installation, upgrades, and lifecycle management throughout the container stack – the operating system, Kubernetes and cluster services, and applications – on any cloud. Dynatrace has simplified this process through the OneAgent Operator, which uses Kubernetes-native means to roll out OneAgent to OpenShift nodes.

Cloud 270

Cloud Infrastructure Operating System Monitoring 270

The Netflix TechBlog

JULY 22, 2024

Our Journey with Maestro Since we first introduced Maestro in this blog post , we have successfully migrated hundreds of thousands of workflows to it on behalf of users with minimal interruption. This is useful if a workflow is designed to always process the latest data, such as processing the latest snapshot of an entire table each time.

Strategy 260

Strategy Scalability Code Engineering 260

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

Artificial Intelligence 298

Artificial Intelligence Cloud Innovation Strategy 298

Dynatrace

DECEMBER 12, 2024

The Federal Reserve Regulation HH in the United States focuses on operational resilience requirements for systemically important financial market utilities. Carefully planning and integrating new processes and tools is critical to ensuring compliance without disrupting daily operations.

Analytics 214

Analytics Government Efficiency Innovation 214

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications. Improving data processing.

Serverless 293

Serverless AWS Lambda Storage 293

The Netflix TechBlog

JANUARY 13, 2022

The data platform is built on top of several distributed systems, and due to the inherent nature of these systems, it is inevitable that these workloads run into failures periodically. We have been working on an auto-diagnosis and remediation system called Pensive in the data platform to address these concerns.

Big Data 243

Big Data Infrastructure Metrics Games 243

Dynatrace

SEPTEMBER 5, 2024

Highly distributed multicloud systems and an ever-changing threat landscape facilitate potential vulnerabilities going undetected, putting organizations at risk. This blog delves into the key principles of this approach, how it differs from vulnerability management, and how it can help you enhance your organization’s security posture.

Strategy 257

Strategy IoT Infrastructure Best Practices 257

Dynatrace

NOVEMBER 17, 2023

In the first blog post of this series , we explored how the Dynatrace ® observability and security platform boosts the reliability of Site Reliability Engineers (SRE) CI/CD pipelines and enhances their ability to focus on innovation. In this blog post, we’ll focus on the first stage of the pipeline, the Build stage.

Innovation 236

Innovation Code Processing Architecture 236

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 278

Serverless Infrastructure Innovation DevOps 278

Dynatrace

OCTOBER 10, 2023

In this blog post, we’ll delve deeper into these categories to gain a comprehensive understanding of their significance and the challenges they present. Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient.

Engineering 239

Engineering DevOps Innovation Strategy 239

Dynatrace

JANUARY 18, 2023

However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. SRE applies software engineering principles to operations and infrastructure processes. Unpacking the purpose and importance of an IT cultural revolution – blog.

DevOps 211

DevOps Best Practices Innovation Strategy 211

Dynatrace

NOVEMBER 9, 2023

Kubernetes is a widely used open source system for container orchestration. However, they can also be used to monitor optimization processes effectively. By recognizing the insights provided, you can optimize processes and improve overall efficiency. What’s next?

Efficiency 287

Efficiency Monitoring Best Practices Open Source 287