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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.
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.
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.
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.
On the other hand, deploying new code on the backend is complex and offers no such transparency. With Dynatrace Live Debugger, you can set a non-breaking breakpoint and instantly see if new code is following the intended new paths, if any new arguments are being considered, and if input and output arguments are aligned with expectations.
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.
Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI.
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. Becoming an engineering manager means transitioning to a different role with different responsibilities. This is a more traditional track that we see.
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.
SRE is the transformation of traditional operations practices by using softwareengineering and DevOps principles to improve the availability, performance, and scalability of releases by building resiliency into apps and infrastructure. Adopt an “everything as code” philosophy using APIs and version-controlled artifacts.
DevOps Engineers must be both good software developers and infrastructure experts and, as such, they are expected to know Linux infrastructure, networking, algorithms, and DevOps tools such as Terraform, Docker, and Kubernetes.
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.
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!
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.
The practice of platform engineering has evolved alongside the increasing complexity of cloud environments. Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for softwareengineering teams.
For softwareengineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Industry apps explosion.
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.
Software development is not an established discipline where there is a clear technique used to solve any given problem. In fact, there are near infinite ways to solve every softwareengineering challenging. The costs of entropy in software systems cannot be over-emphasised. This is natural, yet this is also a big problem.
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. Equally, code that accurately describes the domain it is modelling is often far easier to understand and change.
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. Monitoring-as-code can also be configured in GitOps fashion.
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.
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.
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.
In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior softwareengineer Yarden Laifenfeld explored developer observability. But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. KubeCon North America is this week.
These workflows are then implemented as traditional software, which can be tested, versioned, and maintained. This approach is well understood in softwareengineering and contrasts sharply with building agents that rely on runtime decisionsan inherently less reliable and harder-to-maintain model.
Although IT teams are thorough in checking their code for any errors, an attacker can always discover a loophole to exploit and damage applications, infrastructure, and critical data. If a malicious attacker can identify a key software vulnerability, they can exploit the vulnerability, allowing them to gain access to your systems.
As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances. They shouldn’t worry about the platform; they should just start writing code.” “You can launch a code space that starts a container that shows you everything about how an app was built and deployed.”
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
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.
Create and associate ownership teams with monitored entities Dynatrace captures ownership team information centrally in its platform while allowing various means of ingesting the information, such as Ownership as Code or dedicated API calls. team structure, or links to external resources such as a wiki.
As a SoftwareEngineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. Though I have spent the last ~17 years (In 2021) of my life coding and perfecting my Java and J2EE skill — I suddenly feel. Ahem, Slow!
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.
What is site reliability engineering? 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. Dynatrace news.
Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services. To gain insight into these problems, softwareengineers typically deploy application instrumentation frameworks that provide insight into applications and code.
As softwareengineers, we are always striving for high performance and efficiency in our code. One powerful way that can help us accurately measure the performance of our code is a process called benchmarking, and we’ll look at how to use BenchmarkDotNet with our C# 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. This is a conversation, not an inquisition!
mainly because of mundane reasons related to softwareengineering. A key observation was that most of our data scientists had nothing against writing Python code. Data scientists want to retain their freedom to use arbitrary, idiomatic Python code to express their business logic?—?like
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. Shift-left using an SRE approach means that reliability is baked into each process, app and code change.
But, as Justin Scherer, senior softwareengineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. OpenTelemetry works by providing developers with APIs, SDKs, and tools to instrument their code and collect telemetry data such as logs, metrics, and traces. What is OpenTelemetry?
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. What is DevOps?
Observability-driven development Yarden Laifenfeld, senior softwareengineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.
It warns softwareengineers of bugs in newly-implemented code and regressions in existing code, before it is merged. This ensures increased software reliability. It also … The post Handling Flaky Unit Tests in Java appeared first on Uber Engineering Blog. Introduction to Flaky Tests.
But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. Moreover, it takes an average of nine hours for a softwareengineer to remediate a problem within a production application.
This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like softwareengineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. This approach is not novel.
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