Dynatrace

FEBRUARY 9, 2024

One of the more popular use cases is monitoring business processes, the structured steps that produce a product or service designed to fulfill organizational objectives. By treating processes as assets with measurable key performance indicators (KPIs), business process monitoring helps IT and business teams align toward shared business goals.

Processing 202

Processing Monitoring Analytics Games 202

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 221

Processing Big Data Efficiency Engineering 221

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 236

Processing Data Engineering Efficiency Analytics 236

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

Traffic 173

Traffic Website Latency Virtualization 173

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing.

Analytics 203

Analytics Processing Transportation Storage 203

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Ask yourself, how much data should Fluent Bit process? What is Fluent Bit?

Best Practices 255

Best Practices IoT Metrics Storage 255

Dynatrace

DECEMBER 12, 2024

Carefully planning and integrating new processes and tools is critical to ensuring compliance without disrupting daily operations. Visibility of all business processes starting from the back end and ending with customer experience is perhaps the biggest challenge. For example, user behavior helps identify attacks or fraud.

Analytics 214

Analytics Government Efficiency Innovation 214

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 259

AWS Efficiency Azure Cloud 259

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. A visual example is shown below.

Network 302

Network Media Innovation Efficiency 302

Dynatrace

NOVEMBER 9, 2023

However, they can also be used to monitor optimization processes effectively. Efficient coordination among resource usage, requests, and allocation is critical. As every container has defined requests for CPU and memory, these indicators are well-suited for efficiency monitoring.

Efficiency 287

Efficiency Monitoring Best Practices Open Source 287

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? Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level.

Open Source 279

Open Source Hardware DevOps Infrastructure 279

Dynatrace

AUGUST 21, 2024

The risk of impact from an existing known vulnerability also depends on whether certain processes are using the vulnerable parts of a software component. Vulnerable function monitoring Tracking vulnerable open source software components efficiently is one of the most important pillars of managing attack surfaces.

Java 242

Java Monitoring Open Source Software 242

Dynatrace

FEBRUARY 1, 2024

The adoption process takes time and consideration. The complexity and numerous moving parts of Kubernetes multicloud clusters mean that when monitoring the health of these clusters—which is critical for ensuring reliable and efficient operation of the application—platform engineers often find themselves without an easy and efficient solution.

Engineering 276

Engineering Efficiency Azure Monitoring 276

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

JULY 22, 2024

Using OpenTelemetry, developers can collect and process telemetry data from applications, services, and systems. The OpenTelemetry Protocol (OTLP) plays a critical role in this framework by standardizing how systems format and transport telemetry data, ensuring that data is interoperable and transmitted efficiently.

Latency 245

Latency Best Practices Metrics Open Source 245

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Developers just provide their data problem rather than a database solution!

Latency 254

Latency Storage Cache Efficiency 254

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 254

Latency Storage Big Data Tuning 254

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

DZone

FEBRUARY 8, 2023

However, while over 80% of businesses say transforming to a real-time enterprise is critical to meeting customer expectations , only 12% have optimized their processes for real-time customer experiences, according to 451 Research data.

Analytics 242

Analytics Efficiency Processing Technology 242

Dynatrace

JULY 24, 2024

By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes. Get started monitoring Red Hat OpenShift on IBM Z and LinuxONE New to Dynatrace?

Availability 255

Availability Infrastructure Metrics Monitoring 255

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 295

DevOps Software Engineering Games Java 295

Dynatrace

OCTOBER 30, 2023

Gartner® predicts that by 2026, 40% of log telemetry will be processed through a telemetry pipeline product, up from less than 10% in 2022.* The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Users typically need only recent data for troubleshooting, not logs from a month ago.

Best Practices 256

Best Practices Analytics Artificial Intelligence Infrastructure 256

Dynatrace

NOVEMBER 11, 2024

A good Kubernetes SLO strategy helps teams manage and make containerized workloads more efficient. However, due to the fact that they boil down selected indicators to single values and track error budget levels, they also offer a suitable way to monitor optimization processes while aligning on single values to meet overall goals.

Efficiency 207

Efficiency Best Practices Monitoring Cloud 207

Dynatrace

MAY 2, 2024

Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. 2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace.

Tuning 238

Tuning Scalability Efficiency Processing 238

The Netflix TechBlog

DECEMBER 23, 2020

This abstraction allows the compute team to influence the reliability, efficiency, and operability of the fleet via the scheduler. We do this for reliability, scalability, and efficiency reasons. For example, the CAP_SYS_BOOT capability controls the ability of a given user to reboot the machine. setuid, or switching namespaces).

Media 297

Media Metrics Systems Processing 297

Dynatrace

JULY 19, 2024

Dynatrace does this by automatically creating a dependency map of your IT ecosystem, pinpointing the technologies in your stack and how they interact with each other, including servers, processes, application services, and web applications across data centers and multicloud environments. asc | fields `Host`, `Recently Restarted?

Airlines 306

Airlines Servers Retail Monitoring 306

Dynatrace

DECEMBER 21, 2023

Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. This computational efficiency also reduces energy consumption, which in turn reduces carbon emissions. A PUE of 1.0

Cloud 222

Cloud Energy Best Practices Cache 222

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. and 2.14.1.

Serverless 278

Serverless Infrastructure Innovation DevOps 278

Dynatrace

APRIL 29, 2021

CI/CD is a series of interconnected processes that empower developers to build quality software through well-aligned and automated development, testing, delivery, and deployment. Together, these practices ensure better collaboration and greater efficiency for DevOps teams throughout the software development life cycle.

DevOps 281

DevOps Logistics Code Software 281

Dynatrace

FEBRUARY 1, 2024

For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. With its topology mapping and dependency tracking, Dynatrace provides tools that help analysts determine which processes use what resources to troubleshoot and optimize at the process level.

Cloud 223

Cloud Energy Innovation Infrastructure 223

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. CDC and data source Change data capture or CDC , is a semantic for processing changes in a source for the purpose of replicating those changes to a sink.

Big Data 258

Big Data Government Processing Analytics 258

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

The Netflix TechBlog

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. We accomplish this by paving the path to: Accessing and processing media data (e.g. An average title has 2k shots, which means that we need to enumerate and process ~2M pairs. mp4, clip1.mp4,

Media 299

Media Storage Infrastructure Systems 299

The Netflix TechBlog

SEPTEMBER 10, 2024

One issue that often complicates this process is the "noisy neighbor" problem. Continuous instrumentation is critical to catching such matters as they emerge, and eBPF, with its hooks into the Linux scheduler with minimal overhead, enabled us to monitor run queue latency efficiently.

Latency 251

Latency Metrics Programming Monitoring 251

The Netflix TechBlog

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The talk uses Apache Spark as an example, but the concepts generalize regardless of your specific tools. Learn more about how batch and streaming data pipelines are built at Netflix.

Data Engineering 266

Data Engineering Engineering Software Engineering Best Practices 266