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 306

Efficiency Performance Analytics DevOps 306

Dynatrace

NOVEMBER 7, 2023

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. Automation, automation, automation.

Engineering 306

Engineering DevOps Best Practices Infrastructure 306

Dynatrace

FEBRUARY 27, 2025

To get a better idea of OpenTelemetry trends in 2025 and how to get the most out of it in your observability strategy, some of our Dynatrace open-source engineers and advocates picked out the innovations they find most interesting. Second, it enables efficient and effective correlation and comparison of data between various sources.

Tuning 310

Tuning Open Source Innovation Monitoring 310

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 result was a series of talks which we are now sharing with the rest of the Data Engineering community! Learn more about how batch and streaming data pipelines are built at Netflix.

Data Engineering 265

Data Engineering Engineering Software Engineering Best Practices 265

Dynatrace

NOVEMBER 11, 2024

A good Kubernetes SLO strategy helps teams manage and make containerized workloads more efficient. Efficient coordination of 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 263

Efficiency Best Practices Monitoring Cloud 263

Dynatrace

FEBRUARY 4, 2025

Dynatrace Live Debugger makes troubleshooting efficient, seamless, and non-disruptive. At Dynatrace, we understand your challenges when dealing with external packageswhether you’re hustling with reverse engineering, automatically fetching open source code, or playing the guessing game.

Open Source 223

Open Source Code Engineering Best Practices 223

DZone

JULY 31, 2024

This article sets out to explore some of the essential tools required by organizations in the domain of data engineering to efficiently improve data quality and triage/analyze data for effective business-centric machine learning analytics, reporting, and anomaly detection.

Data Engineering 287

Data Engineering FinTech Engineering Analytics 287

Dynatrace

JULY 25, 2024

I spoke with Martin Spier, PicPay’s VP of Engineering, about the challenges PicPay experienced and the Kubernetes platform engineering strategy his team adopted in response. Taking a strategic Kubernetes platform engineering approach Spier noted that keeping Kubernetes simple requires a strategic approach. Cost efficiency.

Strategy 264

Strategy Engineering Open Source Java 264

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 246

DevOps Engineering Artificial Intelligence Infrastructure 246

Dynatrace

DECEMBER 8, 2022

As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? .” What are DevOps engineer tools and platforms.

DevOps 246

DevOps Engineering Testing Open Source 246

DZone

MARCH 14, 2023

Site Reliability Engineering (SRE) is a systematic and data-driven approach to improving the reliability, scalability, and efficiency of systems. It combines principles of software engineering, operations, and quality assurance to ensure that systems meet performance goals and business objectives.

Engineering 246

Engineering Software Engineering Scalability Efficiency 246

Dynatrace

MARCH 5, 2025

From developers leveraging platform engineering tools to optimize application performance, to Site Reliability Engineers (SREs) ensuring resilience, and executives gaining critical business insights, observability increases the velocity of innovation across every level of an organization.

Innovation 232

Innovation Speed Efficiency Engineering 232

Dynatrace

APRIL 3, 2023

On Episode 52 of the Tech Transforms podcast, Dimitris Perdikou, head of engineering at the UK Home Office , Migration and Borders, joins Carolyn Ford and Mark Senell to discuss the innovative undertakings of one of the largest and most successful cloud platforms in the UK. Make sure to stay connected with our social media pages.

Efficiency 246

Efficiency Social Media Artificial Intelligence Cloud 246

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Platform engineering: Build for self-service Self-service deployment is a key attribute of platform engineering. “It makes them more productive.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

OCTOBER 10, 2023

Planned effort Site Reliability Engineering (SRE) effort and time allocation planning typically fall into two domains: Operations Management (50%) Operations Management includes on-call responsibilities, post-mortem assessments, addressing other interruptions, and buffer time. Streamlining the CI/CD process to ensure optimal efficiency.

Engineering 264

Engineering DevOps Innovation Strategy 264

Dynatrace

FEBRUARY 4, 2025

In this blog post, we will see how Dynatrace harnesses the power of observability and analytics to tailor a new experience to easily extend to the left, allowing developers to solve issues faster, build more efficient software, and ultimately improve developer experience!

Development 235

Development Analytics Code Architecture 235

Dynatrace

MAY 8, 2023

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency. 54% reported deploying updates every two hours or less.

DevOps 246

DevOps Efficiency Monitoring Infrastructure 246

Dynatrace

DECEMBER 2, 2024

Such fragmented approaches fall short of giving teams the insights they need to run IT and site reliability engineering operations effectively. Kubernetes architectures enable organizations to quickly and easily scale services to new users and drive efficiency gains through dynamic resource provisioning.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

Dynatrace

APRIL 5, 2024

Validating and integrating this approach into an intelligent ITSM tool like ServiceNow, for example, will optimize service management by aligning IT services with business needs, ensuring efficient delivery and improved user experiences. Interested in learning more? Contact us for a free demo.

Efficiency 264

Efficiency Traffic Tuning Metrics 264

Dynatrace

OCTOBER 25, 2022

This is done by extending our Davis AI engine with a new capability that considers domain and topology knowledge. This saves valuable time for engineers and architects for innovation.” The post Prevent potential problems quickly and efficiently with Davis exploratory analysis appeared first on Dynatrace news.

Efficiency 264

Efficiency Best Practices DevOps Open Source 264

Dynatrace

APRIL 30, 2021

But because of the complexity involved in executing and analyzing test results of dynamic systems, performance engineering is difficult to scale — especially with lean staff or resources. Grabner also introduced four ways organizations can turbocharge their performance engineering with automation.

Engineering 263

Engineering Testing Performance Performance Testing 263

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. It needs to be engineered properly as a product or service, and it needs automation, observability, and security in itself.”

Engineering 264

Engineering DevOps Innovation Storage 264

Dynatrace

MAY 23, 2024

Stream processing enables software engineers to model their applications’ business logic as high-level representations in a directed acyclic graph without explicitly defining a physical execution plan. We designed experimental scenarios inspired by chaos engineering. Chaos scenario: Random pods executing worker instances are deleted.

Engineering 245

Engineering Tuning Latency Open Source 245

The Netflix TechBlog

MARCH 24, 2025

AV1 is one of the most efficient codecs available today. We would like to extend our thanks to the following teams for their crucial roles in thislaunch: The various Client and Partner Engineering teams at Netflix that manage the Netflix experience across different device platforms.

Innovation 243

Innovation Mobile Media Efficiency 243

Dynatrace

NOVEMBER 14, 2023

Site reliability engineering (SRE) has become increasingly important to organizations looking to keep up with the rapid pace of digital transformation. Effective site reliability engineering requires enterprise-wide transformation Without a unified understanding of SRE practices, organizational silos can quickly form between departments.

Best Practices 246

Best Practices Engineering DevOps Software Engineering 246

Dynatrace

MARCH 29, 2024

Five of the most common include cluster instability, resource and cost management, security, observability, and stress on engineering teams. Engineering teams are overwhelmed with stuff to do.” The post Enhancing Kubernetes cluster management key to platform engineering success appeared first on Dynatrace news.

Engineering 264

Engineering DevOps Operating System Cloud 264

The Netflix TechBlog

JUNE 20, 2024

A summary of sessions at the first Data Engineering Open Forum at Netflix on April 18th, 2024 The Data Engineering Open Forum at Netflix on April 18th, 2024. At Netflix, we aspire to entertain the world, and our data engineering teams play a crucial role in this mission by enabling data-driven decision-making at scale.

Data Engineering 206

Data Engineering Engineering Entertainment Software Engineering 206

Dynatrace

NOVEMBER 20, 2024

The Davis AI engine automatically and continuously delivers actionable insights based on an environment’s current state. By leveraging the combined strengths of Dynatrace and Microsoft Sentinel, enterprises can achieve a comprehensive security posture for enhanced operational efficiency. Click here to read our full press release.

Best Practices 299

Best Practices Innovation Azure Cloud 299

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Our audits would detect this and alert the on-call data engineer (DE).

Data Engineering 271

Data Engineering Engineering Processing Games 271

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. ” The anatomy of efficient automated workflows Efficient and automatable workflows aren’t simple.

Engineering 246

Engineering Speed Monitoring Efficiency 246

DZone

APRIL 21, 2023

Platform engineering is the discipline of building and maintaining a self-service platform for developers. The platform provides a set of cloud-native tools and services to help developers deliver applications quickly and efficiently.

Engineering 214

Engineering Infrastructure Efficiency Cloud 214

Dynatrace

FEBRUARY 20, 2025

Adding Dynatrace runtime context to security findings allows smarter prioritization, helps reduce the noise from alerts, and focuses your DevSecOps teams on efficiently remedying the critical issues affecting your production environments and applications. This increases the number of findings to prioritize.

AWS 195

AWS Efficiency Infrastructure Cloud 195

The Netflix TechBlog

MARCH 4, 2025

This standardization enhances adoption within the personalization stack, simplifies the system, and improves understanding and debuggability for engineers. They must also provide enough information for partner engineers to identify the problem with the underlying service in cases of system-level issues.

Traffic 180

Traffic Strategy Entertainment Innovation 180

The Netflix TechBlog

FEBRUARY 14, 2025

Every image you hover over isnt just a visual placeholder; its a critical data point that fuels our sophisticated personalization engine. This setup allows for efficient streaming of real-time data through Kafka and the preservation of historical data in Iceberg, providing a comprehensive and flexible data processing and storage solution.

Tuning 166

Tuning Latency Efficiency Storage 166

ACM Sigarch

APRIL 2, 2025

This approach represents a source operand by specifying ‘which group’ and ‘how many writes earlier within the group’ While it slightly increases hardware complexity compared to STRAIGHT, it provides greater flexibility in machine code by efficiently handling both short-lived and long-lived values.

Efficiency 54

Efficiency Hardware Architecture Design 54

DZone

FEBRUARY 26, 2025

One such open-source, distributed search and analytics engine is Elasticsearch, which is very efficient at handling data in large sets and high-velocity queries. With the evolution of modern applications serving increasing needs for real-time data processing and retrieval, scalability does, too.

Scalability 147

Scalability Open Source Latency Architecture 147