Dynatrace

OCTOBER 4, 2022

As a result, we created Grail with three different building blocks, each serving a special duty: Ingest and process. Ingest and process with Grail. This starts with a highly efficient ingestion pipeline that supports adding hundreds of petabytes daily. A schema is a fixed definition to organize data in certain fields.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

Dynatrace

MAY 12, 2022

Remediation tracking now enables you to view the risk assessment for the process groups affected by a vulnerability. The title size of a tile has been moved from the dashboard definition to the dashboard metadata definition and included in the advanced settings UI for dashboards. Application Security. Dashboards. APM-368026).

Tuning 205

Tuning Metrics Cloud Mobile 205

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

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. Cassandra), ensuring fast and efficient access.

Latency 254

Latency Storage Cache Efficiency 254

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

Artificial Intelligence 221

Artificial Intelligence Storage Analytics Government 221

The Netflix TechBlog

OCTOBER 18, 2022

For example, a workflow to backfill hourly data for the past five years can lead to 43800 jobs (24 * 365 * 5), each of which processes data for an hour. We would like our users to focus on their business logic and let the orchestrator solve cross-cutting concerns like scheduling, processing, error handling, security etc.

Java 214

Java Scalability Traffic Architecture 214

The Netflix TechBlog

MAY 19, 2023

Netflix is always looking for security, ergonomic, or efficiency improvements, and this extends to authorization tools. A cleanup process to prune stale relationships from the database. can app bar in us-west-2 access this document.” What was problematic about this design? with which to experiment. with which to experiment.

Cache 257

Cache Google Open Source Systems 257

Dynatrace

MARCH 16, 2021

Per HashiCorp, this codification allows infrastructure changes to be automated while keeping the definition human readable. When it comes to DevOps best practices, practitioners need ways to automate processes and make their day-to-day tasks more efficient. Terraform codifies cloud APIs into declarative configuration files.

Code 245

Code Monitoring Best Practices Infrastructure 245

The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience.

Traffic 287

Traffic Metrics Systems Strategy 287

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 200

Analytics Infrastructure Storage Architecture 200

Dynatrace

APRIL 10, 2020

It was also interesting because the plugin – while definitely solving a good use case – wasn’t really used by our teams any longer. This was an interesting find as nobody assumed such a plugin would allocate that many long living objects resulting in high garbage collection. Step #3 – Removing the offending plugin.

Java 259

Java Performance DevOps Engineering 259

Dynatrace

SEPTEMBER 28, 2021

While DevOps is often referred to as “agile operations,” the widely quoted definition from Jez Humble, co-author of The DevOps Handbook, calls it “a cross-disciplinary community of practice dedicated to the study of building, evolving, and operating rapidly-changing resilient systems at scale.” Change failure rate.

DevOps 213

DevOps Metrics Traffic Efficiency 213

The Netflix TechBlog

JULY 30, 2019

Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix. The Netflix Media Database (NMDB) is one such example.

Lambda 192

Lambda Media Open Source Metrics 192

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 219

Tuning Efficiency Big Data Engineering 219

The Netflix TechBlog

DECEMBER 21, 2020

There are several benefits of such optimizations like saving on storage, faster query time, cheaper downstream processing, and an increase in developer productivity by removing additional ETLs written only for query performance improvement. Then deep dive into the merging use case of AutoOptimize and share some results and benefits.

Storage 214

Storage Latency Efficiency Data Engineering 214

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 226

Infrastructure Big Data Transportation Architecture 226

Dynatrace

MARCH 27, 2024

Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. 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.

Best Practices 211

Best Practices Azure Database Code 211

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 178

Architecture Availability Infrastructure Monitoring 178

Dynatrace

JULY 18, 2023

As software development grows more complex, managing components using an automated onboarding process becomes increasingly important. However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. The screenshot below displays such a configuration.

Best Practices 202

Best Practices Code Infrastructure Latency 202

Dynatrace

MAY 17, 2022

This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. From here we jump directly into Dynatrace Distributed traces view, shown below, to understand code-level contributions to total processing time. Activate Cloud Native Full Stack injection today.

Availability 328

Availability Scalability Cloud Metrics 328

Dynatrace

NOVEMBER 14, 2023

These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. This is made possible through generative AI’s natural language processing capabilities. For organizations building business-centric SLOs, Aguiar had some recommendations. “If

Best Practices 204

Best Practices Engineering DevOps Software Engineering 204

Dynatrace

NOVEMBER 1, 2022

All these definitions are distinct and important. Most IT incident management systems use some form of the following metrics to handle incidents efficiently and maintain uninterrupted service for optimal customer experience. It shows how efficiently your DevOps team is at quickly diagnosing a problem and implementing a fix.

DevOps 219

DevOps Artificial Intelligence Metrics Network 219

Dynatrace

DECEMBER 6, 2022

Observability aims to understand what’s happening across all an organization’s environments and technologies, helping teams detect and resolve issues to keep systems efficient and reliable, and end users happy. Step four builds upon step three by further integrating SLO health checks into the broader delivery process.

DevOps 230

DevOps Metrics Engineering Speed 230

Dynatrace

MAY 3, 2021

To mitigate security risks, comply with regulations, and align with good governance requires a coordinated effort among people, processes, and technology. While DevOps processes streamline the software development life cycle and improve time to value for developers and stability for operations, they often bypass security risks.

Code 167

Code DevOps Speed Government 167

The Netflix TechBlog

FEBRUARY 16, 2021

Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. These rule definitions are hosted in a separate git repository and Hendrix module within SKUService load and refresh it periodically. What’s Next?

Mobile 220

Mobile Engineering Infrastructure Scalability 220

DZone

NOVEMBER 9, 2021

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. A side note.

Software 245

Software Software Code Design 245

The Netflix TechBlog

JULY 12, 2019

delivering a large amount of business value in the process. The net result is, for many datasets, vastly more efficient use of RAM. and can achieve orders of magnitude more efficient data access, which opens up many possibilities. scheduled to launch next week) would get events automatically injected into the processing queue.

Cache 184

Cache Architecture Latency Engineering 184

Dynatrace

FEBRUARY 16, 2023

There are many definitions of environmental sustainability, most of which converge on a common theme: collectively and individually, we have a responsibility to act to protect global ecosystems and support health and wellbeing, now and in the future. Sustainability seeks a balance between human activity and the natural world.

Energy 194

Energy Airlines Analytics Transportation 194

Dynatrace

DECEMBER 9, 2020

Scale and automate SRE into your delivery processes with Dynatrace. Note : We will soon improve the drill-downs to Davis problems directly from existing SLO definitions so that SRE teams can benefit more from the Dynatrace Davis AI engine. Read more: Google’s definition of the term Site Reliability Engineering.

Metrics 158

Metrics Engineering Google Monitoring 158

Dynatrace

AUGUST 21, 2023

Like the tree in the forest, the microservice falling definitely made a sound. The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. Or what its falling could mean for all the other services that interact with it.

Open Source 209

Open Source Analytics Lambda Metrics 209

The Netflix TechBlog

OCTOBER 14, 2024

This document details the intriguing process of debugging this issue, all the way from the UI down to the Linux kernel. Restarting the ipykernel process, which runs the Notebook, might temporarily alleviate the problem, but the frustration persists as more notebooks are run. the JupyterLab process) rather than the network.

Latency 217

Latency Virtualization Traffic Processing 217

Scalegrid

JUNE 14, 2024

Microsoft Power BI and MySQL are two powerful tools that can facilitate this process. In this article, we will explore the process of how to connect MySQL to Power BI, a leading business intelligence tool. This streamlined data integration simplifies the process of data analysis and ensures consistency and accuracy in reporting.

Database 130

Database Azure Efficiency Servers 130

Dynatrace

NOVEMBER 8, 2021

G2 Research includes a clear definition of APM in its Grid Report for Application Performance Monitoring for Spring 2021. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 240

Artificial Intelligence Monitoring Infrastructure Cloud 240

Dynatrace

AUGUST 17, 2023

We also use Micrometer to analyze ingest queue processing speed, which helps us make decisions about adding resources. We optimized our Micrometer Registry to export data in memory-efficient chunks. Definitions of the Slack workflow are also in the Git repository. This also led to improvements in our ingest API.

Metrics 211

Metrics Analytics Speed Java 211

DZone

JULY 11, 2023

Artificial Intelligence: Definition and Practical Applications Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence. AI encompasses various techniques, including machine learning, natural language processing , computer vision, and robotics.

Artificial Intelligence 113

Artificial Intelligence Healthcare Transportation Network 113

Dynatrace

OCTOBER 4, 2021

An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. APIs each have a web address, known as an API endpoint, and serve as the channel by which a consuming application and API communicate.

Monitoring 190

Monitoring Latency Metrics Availability 190

Dynatrace

JUNE 14, 2023

“The historical definition of observability is transforming,” Clayton said. The new portal is designed to make it easier for our partners to access the tools they need to work more efficiently to help joint customers achieve their business goals.

Programming 192

Programming Best Practices Innovation Analytics 192