Dynatrace

APRIL 15, 2024

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. For example, government agencies use an array of cloud platforms spanning 12 environments on average. The critical Log4Shell vulnerability is a recent example.

Infrastructure 218

Infrastructure Efficiency Government Transportation 218

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 226

Processing Data Engineering Efficiency Analytics 226

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

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. What is a data lakehouse?

Efficiency 284

Efficiency Performance Analytics DevOps 284

The Netflix TechBlog

AUGUST 1, 2022

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

Processing 272

Processing Transportation Entertainment Tuning 272

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

Serverless 245

Serverless Efficiency Lambda Azure 245

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 200

Analytics Processing Transportation Storage 200

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 252

Best Practices IoT Metrics Storage 252

Percona

APRIL 14, 2023

Considering the example from above, even if that bit of data being requested by the users is not found in memory and needs to be retrieved from disk, that slow operation will have to be performed only once for that batch of requests. How do you know if your MySQL database caching is operating efficiently?

Cache 91

Cache Efficiency Database Monitoring 91

Tasktop

JUNE 20, 2022

This is easier said than done, so we’ve designed three sets of OKRs examples for software companies to show how it’s possible. In these examples, the product value streams incorporate Flow Metrics into their key results to drive agility and a value focus. Examples of quarterly OKRs for software companies. Activities.

Software 96

Software Software Healthcare Mobile 96

DZone

JANUARY 13, 2021

Splitting your CI build jobs between multiple machines running in parallel is a great way to make the process fast, which results in more time for building features. In a previous article, we explained how you can use Knapsack Pro to split your RSpec test files efficiently between parallel jobs on GitHub Actions. Consider the Split.

Testing 162

Testing Efficiency Processing Performance 162

High Scalability

JUNE 15, 2020

Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. This processing can be summed up as the continuous aggregation and delivery of reporting data to users in a cost efficient manner.

Processing 206

Processing Data Engineering Engineering Efficiency 206

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures. In essence, it establishes permissions within a Kubernetes cluster.

Efficiency 103

Efficiency Cloud Healthcare Open Source 103

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 234

Tuning Scalability Efficiency Processing 234

DZone

MARCH 9, 2023

Software testing is the process of verifying the working of the software system or application. It not only focuses on finding bugs or errors in the software but also considers measures to enhance the software quality in terms of usability, accuracy, and efficiency.

Best Practices 100

Best Practices Software Software Testing 100

The Netflix TechBlog

MARCH 6, 2019

—?Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large We have one file?—?the

Media 214

Media Storage Processing Cache 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 256

AWS Efficiency Azure Cloud 256

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 276

Open Source Hardware DevOps Infrastructure 276

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 218

Cloud Energy Best Practices Cache 218

Dynatrace

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. This real-time awareness enables teams to rapidly detect and resolve issues: both indispensable capabilities for maintaining the agility and reliability that are central to DevOps and platform engineering processes.

DevOps 199

DevOps Engineering Artificial Intelligence Infrastructure 199

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 292

DevOps Software Engineering Games Java 292

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 283

Efficiency Monitoring Best Practices Open Source 283

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 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

MARCH 27, 2024

The automated extraction of ownership information, for example, from Kubernetes annotations, is therefore essential. Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process. An example via Monaco can be found in this public GitHub repository.

Best Practices 208

Best Practices Azure Database Code 208

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 272

Engineering Efficiency Azure Monitoring 272

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 219

Cloud Energy Innovation Infrastructure 219

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 253

Best Practices Analytics Artificial Intelligence Infrastructure 253

Dynatrace

MAY 3, 2024

Their job is to find out the root cause of any SLO violations, ensure visibility into the application landscape to fix problems efficiently and minimize production costs by reducing errors. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces.

Cloud 260

Cloud Lambda AWS Analytics 260

Edge Perspectives

MARCH 26, 2019

In our Big Shift world, we confront the imperative of institutional innovation – shifting from institutional models built on scalable efficiency to institutional models built on scalable learning. I’ve written and spoken about this a lot over the years and one of the most common pushbacks I get is – “so, are you against efficiency?”

Efficiency 89

Efficiency Scalability Innovation Programming 89

The Netflix TechBlog

NOVEMBER 8, 2023

A sizzle reel is a montage of video clips from different titles strung together into a seamless A/V asset that gets members excited about upcoming launches (for example, our Emmys nominations or holiday collections). An example of a Dynamic Sizzle created for Chuseok, the Korean mid-autumn harvest festival collection.

Processing 196

Processing Media Games Efficiency 196

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. Organizations need to incorporate IT automation into their processes to take action on the data they gather. Greifeneder noted.

Innovation 206

Innovation DevOps Cloud Efficiency 206

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

APRIL 19, 2024

Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability. The app scans all incoming logs for various patterns and uses DQL (Dynatrace Query Language) to collect context like hosts, other processes, and traces for each potential problem.

AWS 229

AWS Analytics Cloud Monitoring 229

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

MARCH 28, 2024

According to Markets and Markets, for example, the digital transformation market is projected to grow at a compound annual growth rate of 19.1%, from $521.5 According to IDC, AI technology will be inserted into the processes and products of at least 90% of new enterprise apps by 2025. billion in 2021 to $127.5 billion in 2026.

C++ 194

C++ Artificial Intelligence DevOps Innovation 194

DZone

JANUARY 6, 2024

Profile-Guided Optimization (PGO) stands as a potent technique capable of substantially enhancing the efficiency of your Java programs. This article delves into the intricacies of PGO within the Java context, providing practical examples to illustrate its efficacy.

Java 177

Java Performance Tuning Programming 177

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 259

Data Engineering Engineering Software Engineering Best Practices 259