Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 202

DevOps Metrics Engineering Analytics 202

Dynatrace

DECEMBER 18, 2023

In the last blog post of this series, we delved into how Dynatrace, functioning as a deploy-stage orchestrator, solves the challenges confronted by Site Reliability Engineers (SREs) during the early of automating CI/CD processes. Further, harness request attributes and telemetry data gathered from requests to gain insights into the requests.

Testing 250

Testing Best Practices Performance Testing Engineering 250

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. The Dynatrace integration leverages native features and events that pass through the pipeline. Automated CI/CD pipelines greatly reduce the occurrence of manual errors.

Engineering 226

Engineering DevOps Innovation Strategy 226

The Netflix TechBlog

NOVEMBER 29, 2023

As noted in an earlier blog post , we began developing an HDR variant of VMAF; let’s call it HDR-VMAF. A vital aspect of such development is subjective testing with HDR encodes in order to generate training data. The current implementation, however, is largely tailored to our internal pipelines.

Open Source 252

Open Source Software Engineering Internet Traffic 252

The Netflix TechBlog

DECEMBER 3, 2022

by Jasmine Omeke , Obi-Ike Nwoke , Olek Gorajek Intro This post is for all data practitioners, who are interested in learning about bootstrapping, standardization and automation of batch data pipelines at Netflix. You may remember Dataflow from the post we wrote last year titled Data pipeline asset management with Dataflow.

Best Practices 358

Best Practices Code Testing Data Engineering 358

Dynatrace

DECEMBER 18, 2023

This challenge has given rise to the discipline of observability engineering, which concentrates on the details of telemetry data to fine-tune observability use cases. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 177

Metrics Engineering Energy Tuning 177

The Netflix TechBlog

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. We refer the reader to our previous blog article for details. This is what we call decoupling producer flows from clients of the data.

Media 264

Media Latency Architecture Database 264

Dynatrace

DECEMBER 7, 2023

Cybersecurity Awareness Month 2023: Key themes and best practices for protecting against cyberthreats Read the blog David Egts talks AI in government and disinformation We kicked off the Halloween series by sitting down with David Egts, Field CTO of Public Sector, MuleSoft at Salesforce. Visit the Tech Transforms blog archive on our website.

Government 192

Government Infrastructure Artificial Intelligence Best Practices 192

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. Data indicates these technology trends have taken hold.

Technology 202

Technology Technology Artificial Intelligence Analytics 202

Dynatrace

AUGUST 16, 2021

These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. Topics in this blog series. Leverage AI-driven decision making and leveraging standardized pipelines ?. SLO validation – ?Automatically

Software 246

Software Software Open Source Azure 246

Dynatrace

JULY 13, 2021

Based on survey results gathered during the Dynatrace Perform 2020 conference, we learned that just 10% of organizations have implemented automatic quality gates in their release pipelines. In other words, 90% of organizations either rely on manual quality checks or, even more risky, rely only on hope! How the evaluation works.

Cloud 240

Cloud DevOps Benchmarking Speed 240

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

AUGUST 10, 2023

They frequently articulate the need for real-time visibility into business data to support agile business decisions. 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.

Database 226

Database Metrics Retail Analytics 226

Dynatrace

NOVEMBER 9, 2022

According to some data, 93% of technologists find cloud application modernization challenging. Moreover, according to IDC data,? IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management. How to pick an application modernization strategy – blog .

AWS 130

AWS Cloud Serverless DevOps 130

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. Azure Data Factory v1. Azure Data Factory v2. Azure Data Lake Analytics.

Azure 155

Azure Cloud Tuning Monitoring 155

Dynatrace

NOVEMBER 10, 2021

Introducing release validations into your continuous delivery pipeline allows for automated analysis of the quality of your new software versions and planned releases. The post Automated DevSecOps release validation ensures security by default appeared first on Dynatrace blog. This allows releases to remain secure by default.

Serverless 212

Serverless DevOps Cloud Metrics 212

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 275

Efficiency Performance Analytics DevOps 275

The Netflix TechBlog

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. But there are more interesting cases where users want to store temporal (time-based) data or spatial data. Movie Entity with id 1234 has violence.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 204

Cache Azure Infrastructure Monitoring 204

The Netflix TechBlog

FEBRUARY 9, 2022

JAR) form to be executed as part of the user defined data pipeline. data pipeline ?—?a DAG) for the purpose of transforming data using some business logic. Netflix homegrown CLI tool for data pipeline management. a set of tasks (or jobs) to be executed in a predefined order (a.k.a. Dataflow ?—?Netflix

Storage 201

Storage Data Engineering Testing Code 201

Dynatrace

SEPTEMBER 4, 2020

Breaking monolithic pipelines into event-driven Delivery Choreography. In this blog, I want to dig a bit into a core capability of Keptn which is used across all use cases: SLI/SLO-based Evaluations for Quality Gates as well as Auto-Remediation. Embrace event-driven auto-remediation with an SLO-based safety net.

DevOps 246

DevOps Metrics Innovation Azure 246

Dynatrace

SEPTEMBER 29, 2021

This blog continues with more examples of Dynatrace’s Monitoring as Code (Monaco) and Service Level Objectives (SLOs) release validation using Dynatrace SaaS Cloud Automation. For orientation on the use cases in this blog series, refer to the picture below. Blog series use cases. SLIs can come from any data provider.

Software 200

Software Software Open Source DevOps 200

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. The pipeline of classifying errors, getting recommendations, and applying recommendations is fully automated.

Tuning 210

Tuning Efficiency Big Data Engineering 210

The Netflix TechBlog

APRIL 27, 2023

Atlas is an in-memory time-series database that ingests multiple billions of time-series per day and retains the last two weeks of data. Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

MAY 5, 2021

Quality gates are benchmarks in the software delivery lifecycle that define specific, measurable, and achievable success criteria a service must meet before moving to the next phase of the software delivery pipeline. Keptn continues to improve with new features that turn build data into actionable insights.

Benchmarking 182

Benchmarking Latency Speed Software 182

The Netflix TechBlog

NOVEMBER 17, 2022

In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. There are, roughly speaking, two steps to encode a video in our pipeline: Video preprocessing, which encompasses any transformation applied to the high-quality source video prior to encoding.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. A modern observability solution transforms data from distributed environments into actionable business intelligence. Unbreakable DevOps Pipeline: Shift-Left, Shift-Right & Self-Healing. Learn more here. What is AWS Lambda?

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

MAY 24, 2021

Figure 1: This is a service flow, showing how a certain microservice depends on a specific Lambda function that fetches real-time data from a public cloud provider. The post Dynatrace leverages new AWS Lambda extensions for seamless end-to-end observability appeared first on Dynatrace blog.

Lambda 298

Lambda AWS Serverless Java 298

Dynatrace

APRIL 30, 2021

Although some organizations have invested in automated pipelines, many are still struggling with analyzing functional tests and performance tests. Large quantities of unstructured monitoring data can slow down the process even further. The next step is automating performance throughout the delivery pipeline.

Engineering 199

Engineering Testing Performance Performance Testing 199

Dynatrace

SEPTEMBER 13, 2023

In this blog post, we’ll demonstrate how Dynatrace automation and the Dynatrace Site Reliability Guardian can help you implement your applications according to all six AWS Well-Architected pillars by integrating them into your software development lifecycle (SDLC).

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

MAY 17, 2023

Release validation on the four golden signals in pre-production Another Dynatrace team adopted Site Reliability Guardian with an early version of our Traces in Grail capability for a classic approach to release validation within its delivery pipeline. The queries are depicted below (sensitive data has been removed).

DevOps 186

DevOps Traffic Latency Best Practices 186

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data. What is vulnerability management?

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

JULY 16, 2021

In this blog, I want to guide you through the steps of implementing release quality gates in your delivery automation or as we often call it “ Shift-Left SLOs with Quality Gates ”. Whether it’s used to automate your test analysis or fully integrated into your delivery pipeline, this blog will guide you through it!

DevOps 244

DevOps Open Source Cloud Azure 244

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer on the Product Data Science and Engineering team.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

JULY 30, 2021

Three years ago, I toured through the US, Europe, and Asia giving hands-on training sessions on what I then called the “Unbreakable Delivery Pipeline Tour”. Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. You may be asking yourself now: “ Unbreakable WHAT??”.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

AUGUST 10, 2023

They frequently articulate the need for real-time visibility into business data to support agile business decisions. 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.

Database 130

Database Metrics Retail Analytics 130

Dynatrace

NOVEMBER 3, 2023

While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. supports SNMP, WMI, Prometheus, and SQL data sources, and now also JMX; no code is required to leverage these extensions. available, and more are in the pipeline. Extensions 2.0

Technology 246

Technology Technology Scalability Availability 246