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

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions.

DevOps 228

DevOps Traffic Efficiency Servers 228

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

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 210

Processing Big Data Efficiency Engineering 210

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. Check out the guide from last year’s event. These are just some of the topics being showcased at Perform 2023 in Las Vegas.

Efficiency 284

Efficiency Performance Analytics DevOps 284

Dynatrace

NOVEMBER 11, 2022

Getting the information and processes in place to ensure alerts like this example can be organizationally difficult. However, Dynatrace can often miss crucial pieces of the puzzle because humans haven’t told it about whole processes occurring on the “human” side of the environment. Offline processes.

DevOps 190

DevOps C++ Serverless Processing 190

Dynatrace

OCTOBER 23, 2023

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams.

Efficiency 223

Efficiency Virtualization Hardware Performance 223

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. Understanding the context. Addressing security requirements.

Analytics 200

Analytics Processing Transportation Storage 200

Dynatrace

JANUARY 26, 2021

Unlike a traditional virtual machine-model where customers must build and manage an entire VM, serverless computing provides the ability to purchase only the CPU cycles and memory needed to support an application using an event-based pay-per-use model. The Serverless Process. Services scale to meet demand.

Serverless 245

Serverless Efficiency Lambda Azure 245

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. Managing incidents in corresponding tools. Identifying the root cause and proper countermeasures.

DevOps 292

DevOps Software Engineering Games Java 292

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 264

Data Engineering Engineering Processing Games 264

Dynatrace

OCTOBER 10, 2023

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. The Dynatrace integration leverages native features and events that pass through the pipeline.

Engineering 235

Engineering DevOps Innovation Strategy 235

Dynatrace

MAY 16, 2019

My previous blog post, Efficiently filter problem notifications with alerting profiles , described usage of alerting profiles and the use cases for which they can be implemented. An example is triggering alerts in cases where problems are related to process crashes.

Analytics 116

Analytics Efficiency Availability Processing 116

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

Engineering 189

Engineering Tuning Latency Open Source 189

Dynatrace

APRIL 19, 2024

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. These events require triage, analysis, and remediation by the owners of the affected resources.

AWS 229

AWS Analytics Cloud Monitoring 229

Dynatrace

FEBRUARY 28, 2024

Validation stage overview The validation stage is a crucial step in the CI/CD (Continuous Integration/Continuous Deployment) process. These prolonged processes not only strain resources but also introduce delays within the CI/CD pipeline, hampering the timely release of new features to end-users.

DevOps 212

DevOps Metrics Engineering Analytics 212

The Netflix TechBlog

FEBRUARY 26, 2024

Striking a balance between eBPF’s benefits and system load is crucial, ensuring it enhances rather than hinders our operational efficiency. It displays the average execution runtime, events per second, and estimated total CPU % for each program. This tool enables Netflix to embrace eBPF’s potential.

Performance 174

Performance Benchmarking Programming Open Source 174

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. This year, Google’s event will take place from April 9 to 11 in Las Vegas.

Google 270

Google Innovation Cloud Analytics 270

Dynatrace

NOVEMBER 28, 2023

Leverage OneAgent functionality Ingesting configuration changes into Dynatrace through the events API call and utilizing OneAgent to detect configuration changes for supported technologies help maintain close alignment between your staging and production environments. This approach effectively combats configuration drift.

Traffic 268

Traffic Best Practices Strategy Engineering 268

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 210

Analytics Infrastructure Efficiency Technology 210

Dynatrace

AUGUST 28, 2023

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. These retail-business processes must work together efficiently to orchestrate customer satisfaction: Inventory management ensures you can anticipate and meet dynamic customer demand.

Retail 211

Retail Logistics Innovation Analytics 211

Dynatrace

MARCH 28, 2024

While generative AI has received much of the attention since 2022 for enabling innovation and efficiency, various forms of AI—generative, causal **, and predictive AI —will work together to automate processes, introduce innovation, and other activities in service of digital transformation.

C++ 194

C++ Artificial Intelligence DevOps Innovation 194

Dynatrace

JUNE 5, 2023

Organizations are increasingly moving to multicloud environments and adopting microservices to increase the efficiency, reliability, and scalability of their applications and services. First, manual processes are naturally error prone because they rely on humans to input, review, and confirm data.

Engineering 196

Engineering Speed Monitoring Efficiency 196

Scalegrid

MARCH 8, 2024

Executing PITR requires restoring from the full backup and then applying binary log events in sequence up to the desired point in time, with advanced techniques and third-party tools available to optimize large dataset handling and automate the recovery process. This isn’t merely about taking a full backup or enabling binary logging.

Database 162

Database Strategy Servers Best Practices 162

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? Conclusion Keptn empowers DevOps teams to conquer the Kubernetes deployment challenge confidently, ensuring smoother and more efficient deployments.

Open Source 276

Open Source Hardware DevOps Infrastructure 276

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

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

DECEMBER 14, 2023

For a closer look at the numbers from the Dynatrace, Snyk, and AWS joint research, plus more statistics on how automation increases efficiencies and reduces security risks, see the infographic report, Continuous delivery needs continuous security. 34% of CIOs say they sacrifice code security to deliver innovation quicker.

AWS 271

AWS Innovation Speed Efficiency 271

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. The engineer can efficiently access this data via a natural language query in a CoPilot Notebook: “Summarize all MITRE security events of the last 72 hours.”

Artificial Intelligence 195

Artificial Intelligence Analytics Efficiency Database 195

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 23, 2024

Also, see how to automate this process with bicep and how to automate with Azure CLI. Clouds provides resource properties, metrics, problems, and events in a single view, as shown below. More information can be found at Dynatrace link to existing. Davis AI automatically analyzes ongoing problems with your resources.

Azure 207

Azure Cloud Metrics Innovation 207

DZone

NOVEMBER 28, 2023

Improving an organization's overall data capabilities enables teams to operate more efficiently. In data analytics, the "hot path" and "cold path" refer to two distinct processing routes for handling data. This path is crucial for time-sensitive applications, enabling quick responses to emerging trends or events.

Analytics 161

Analytics Efficiency Technology Technology 161

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

The Netflix TechBlog

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. We’ll return to the sample customer lifecycle: Processing Requirement : Keep track of the end-of-hour state of accounts, e.g., Active/Upgraded/Downgraded/Canceled.

Tuning 244

Tuning Processing C++ Efficiency 244

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level.

Government 208

Government Analytics Benchmarking Storage 208

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. In Grail, this data resides in business events historical logs.

Best Practices 253

Best Practices Analytics Artificial Intelligence Infrastructure 253