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

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 130

Best Practices IoT Metrics Storage 130

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

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 270

Open Source Hardware DevOps Infrastructure 270

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 192

DevOps Engineering Artificial Intelligence Infrastructure 192

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 249

AWS Efficiency Azure Cloud 249

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 211

Cloud Energy Best Practices Cache 211

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 276

Efficiency Monitoring Best Practices Open Source 276

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 201

Best Practices Azure Database Code 201

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 205

Cloud Lambda AWS Analytics 205

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

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++ 187

C++ Artificial Intelligence DevOps Innovation 187

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 200

Innovation DevOps Cloud Efficiency 200

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

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

OCTOBER 4, 2023

Business resilience is when organizations have systems and processes in place to protect against unforeseen shocks and build organizational agility. Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

FEBRUARY 21, 2024

Quality gates examples in Dynatrace Quality gates hold much promise for organizations looking to release better software faster. The following are specific examples that demonstrate quality gates in action: Security gates Security gates ensure code meets key security requirements defined by development and security stakeholders.

Speed 209

Speed Software Software Latency 209

The Netflix TechBlog

MARCH 5, 2024

We have several frameworks that periodically refresh large amounts of on-heap data to avoid external service calls for efficiency. Reference processing is also only performed in major collections with ZGC. Operational simplicity Service owners often reach out to us with questions about excessive pause times and for help with tuning.

Latency 228

Latency Java Tuning Efficiency 228

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 205

Retail Logistics Innovation Analytics 205

Dynatrace

JANUARY 18, 2024

Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns. Communication methods.

Artificial Intelligence 214

Artificial Intelligence Healthcare Government Technology 214

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

FEBRUARY 1, 2024

For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience. This approach provides an immediate understanding of how entities such as hosts, processes, and their associated relationships contribute to the identified issue.

Infrastructure 183

Infrastructure Metrics Network Monitoring 183

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Armed with this data, the developer can then change the query to ask for the statements over a period (for example, the previous week). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188

Dynatrace

MARCH 14, 2024

For example, an employee might not have the tools to efficiently retrieve data about a customer as they work to solve an issue. With a platform that also harnesses AI and automation, organizations can even identify and auto-remediate incidents before they occur, helping save time and increase efficiency.

Government 193

Government Strategy Best Practices Website 193

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

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 292

Network Media Innovation Efficiency 292

Brendan Gregg

JANUARY 1, 2019

What is an example of eBPF tracing? This eBPF-based tool shows completed TCP sessions, with their process ID (PID) and command name (COMM), sent and received bytes (TX_KB, RX_KB), and duration in milliseconds (MS): # tcplife. What eBPF did was make this tool *practical*: it is efficient and secure. 46644 127.0.0.1 28527 0 0 0.23

C++ 111

C++ Virtualization Programming Code 111

Dynatrace

JANUARY 31, 2024

For example, a Stanford University and UC Berkeley team noted in a research study that ChatGPT behavior deteriorates over time. Using the example of a chatbot, once the user submits a natural language prompt, RAG summarizes that prompt using semantic data. Consequently, AI model drift and hallucinations emerge as primary concerns.

Cache 206

Cache Azure Infrastructure Monitoring 206

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. We use metaflow.Table to resolve all input shards which are distributed to Metaflow tasks which are responsible for processing terabytes of data collectively.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

NOVEMBER 14, 2023

For example, how much does a reduction in MTTR impact revenue? These small wins, such as implementing a blameless root cause analysis process, can take many forms and don’t necessarily involve numerical metrics. For example, generative AI has the potential to provide more intuitive methods of querying data.

Best Practices 194

Best Practices Engineering DevOps Software Engineering 194

Dynatrace

FEBRUARY 15, 2023

For example, with AutomationEngine, teams can automate remediation and progressive delivery to continuously evaluate application performance against specific, measurable service-level objectives. Others lack causal AI to process data in full context that can actually pinpoint the root cause of problems.

Code 214

Code DevOps Cloud Analytics 214

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Unnecessary data transfer. On-demand payment agreement. Suboptimal architecture design.

Best Practices 235

Best Practices Strategy Cloud AWS 235

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 228

Monitoring Artificial Intelligence Performance Analytics 228