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In softwareengineering, we've learned that building robust and stable applications has a direct correlation with overall organization performance. The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. Posted with permission.
In response to this shift, platform engineering is growing in popularity. The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. The result is a cloud-native approach to software delivery. Why is platform engineering important?
In my role as an engineering manager, I know making the leap from an individual contributor (IC) to engineering manager (EM) is not a promotion. What you do as an engineering manager versus what you do as a developer is fundamentally different. There is a possibility that you might not write code altogether.
Site reliability engineering (SRE) plays a vital role in ensuring Java applications' high availability, performance, and scalability. This discipline merges softwareengineering and operations, aiming to create a robust infrastructure that supports seamless user experiences.
Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of softwareengineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026.
Following are some of the coolest things weve seen engineers do with Live Debugger. On the other hand, deploying new code on the backend is complex and offers no such transparency. With Live Debugger, you can see the precise inputs called your by code in production so you can design your tests accordingly.
As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. “It makes them more productive.
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When you start learning how to code your main focus is writing code that works correctly for the problem you are solving. Yes, code needs to work correctly and that is a good place to start learning. However, in a real work environment, you also want to ensure you write clean code.
By Karen Casella, Director of Engineering, Access & Identity Management Have you ever experienced one of the following scenarios while looking for your next role? You study and practice coding interview problems for hours/days/weeks/months, only to be asked to merge two sorted lists.
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Site reliability engineering (SRE) is the practice of applying softwareengineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. ” According to Google, “SRE is what you get when you treat operations as a software problem.”
Readable code is usable code. The world’s greatest chefs never put anything on the plate that will never be eaten, this rule corresponds to the YAGNI principle in SoftwareEngineering. Such non-used code blocks may affect code readability in the future.
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In early September I had a very enjoyable technical chat with Steve Klabnik of Rust fame and interviewer Kevin Ball of SoftwareEngineering Daily, and the podcast is now available. Its long-standing presence and compatibility with legacy code make it a go-to language for maintaining and extending older projects.
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Softwareengineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and softwareengineering is changing at Microsoft with the rise of AI and ML. ICSE’19.
We can say that system scalability is about supporting a linear rate of growth in system resource requirements given that code running inside the system is unchanged. Softwareengineering team scalability is equally important. SoftwareEngineering Team Scalability.
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Build an umbrella for Development and Operations In modern softwareengineering, the discipline of platform engineering delivers DevSecOps practices to developers to bridge the gaps between development, security, and operations and enhance the developer experience.
It’s as restrictive as the Sith philosophy, limiting the potential of your code because it implicitly suggests there should only be one implementation of that interface. This method not only keeps your mind open to additional implementations but also provides more insight into the technical details of the code. This is a trap!
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There are a few qualities that differentiate average from high performing softwareengineering organisations. I believe that attitude towards the design of code and architecture is one of them. In Accelerate , Nicole Forsgren shows a link between well-designed, loosely-coupled architecture and more frequent software delivery.
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Growth Engineering at Netflix?—?Automated In the Growth Engineering team, we refer to this as the top of the signup funnel. For more background on the signup funnel and Growth Engineering’s role in the signup funnel, please read our initial post on the topic: Growth Engineering at Netflix? Accelerating Innovation.
Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale.
By helping teams release new software more frequently, DevOps practices are an essential component of digital transformation. Yet, ensuring code quality and breaking down silos are some of the many challenges that come with DevOps methodologies. Automation versus orchestration. Get started with DevOps orchestration.
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The Growth Engineering team is responsible for executing growth initiatives that help us anticipate and adapt to this change. For more background on Growth Engineering and the signup funnel, please have a look at our previous blog post that covers the basics. We need to be constantly adapting and innovating as a result of this change.
Incident management with clearly defined responsibilities Site Reliability Engineers (SRE) are challenged not only to detect problems and identify the root cause quickly but also to remediate problems immediately. Any softwareengineer can search for monitored entities that relate to specific deployments and their respective teams.
We sat together with Armin Ruech and Daniel Dyla, softwareengineers at Dynatrace and leaders within the OpenTelemetry community, to hear about their involvement with the second most active CNCF project. My name is Armin Ruech, I’m a SoftwareEngineer at Dynatrace and I started as a software developer around 3.5
When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Developers want to write high-quality code and deploy it quickly. Ultimately, Keptn reduces code automation by 90% and makes every component SLO-driven.
Application security is a softwareengineering term that refers to several different types of security practices designed to ensure applications do not contain vulnerabilities that could allow illicit access to sensitive data, unauthorized code modification, or resource hijacking. Dynatrace news.
Submit a proposal for a talk at our new virtual conference, Coding with AI: The End of Software Development as We Know It.Proposals must be submitted by March 5; the conference will take place April 24, 2025, from 11AM to 3PM EDT. AI writes buggy code? So do humansand AI seems to be getting better at writing correct code.
According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality. Site reliability engineers, or SREs, lead these efforts.
An intelligent query editor with code refactoring, autocomplete, error detection, optimization, and analysis tools sensitive to context and aware of schema. Pros: Powerful query editor with intelligent code completion. Features: An intuitive and fast interface with a visual query builder having code snippets and auto-completion.
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And the last sentence of the email was what made me want to share this story publicly, as it’s a testimonial to how modern softwareengineering and operations should make you feel. Our dynamic growth in engineering also made us invest in continuous training for new and existing hires. Let me start with the end-user impact.
mainly because of mundane reasons related to softwareengineering. They know that feature engineering is critical for many models, so they want to stay in control of model inputs and feature engineering logic. A key observation was that most of our data scientists had nothing against writing Python code.
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