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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!
Business processes support virtually all aspects of an organizations operations. Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance.
Carefully planning and integrating new processes and tools is critical to ensuring compliance without disrupting daily operations. Visibility of all business processes starting from the back end and ending with customer experience is perhaps the biggest challenge.
Every software developer has faced the frustration of debugging. A production bug is the worst; besides impacting customer experience, you need special access privileges, making the process far more time-consuming. This cumbersome process should not be the norm. Browse your code. It’s easy as 1-2-3 1.
But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. Development teams need automated workflows so they’re not stuck manually monitoring all stages of the software development lifecycle in their cloud environments.
Code coverage is a software quality metric commonly used during the development process that let’s you determine the degree of code that has been tested (or executed). To achieve optimal code coverage, it is essential that the test implementation (or test suites) tests a majority percent of the implemented code.
One of the primary drivers behind digital transformation initiatives is the desire to streamline application development and delivery to bring higher quality, more secure software to market faster. Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Dynatrace news.
Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This leads to frustrating bottlenecks for developers attempting to build and deliver software.
As recent events have demonstrated, major software outages are an ever-present threat in our increasingly digital world. From business operations to personal communication, the reliance on software and cloud infrastructure is only increasing. Software bugs Software bugs and bad code releases are common culprits behind tech outages.
The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. ” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example.
In today’s digital world, software is everywhere. Software is behind most of our human and business interactions. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. What is software automation? What is software analytics?
In all seriousness, the shift-left mantra has shaken things up quite a bit in the tech industry, bringing a paradigm shift in how we approach software development. This has also somewhat shifted the burden of software quality, no longer confining it solely to the realm of QA teams.
Recently, some organizations fell victim to a software supply chain attack, which led to loss of confidential data. This article explains what a software supply chain attack is, and how Dynatrace protects its customers against such attacks by applying: Risk management and business continuity planning. It all starts with the code.
Today, the demand for software is higher than ever. Lines of code govern almost everything we do in our day-to-day activities. In an attempt to hold their place within the market, developers are having to speed their process up whilst delivering products of ever-increasing quality. Introduction. million developers worldwide.
Software supply chain attacks emerge in full force. But today, software supply chain attacks are a key factor in the global movement of goods. Additionally, a global study of 1,000 CIOs indicated that 82% say their organizations are vulnerable to cyberattacks targeting software supply chains. Dynatrace news.
The growing popularity of open source software presents new risks associated with vulnerable libraries. In response, organizations have adopted additional security tools, such as software composition analysis, that scan code libraries for vulnerabilities. What is software composition analysis?
According to recent research from TechTarget’s Enterprise Strategy Group (ESG), generative AI will change software development activities, from quality assurance to debugging to CI/CD pipeline configuration. On the whole, survey respondents view AI as a way to accelerate software development and to improve software quality.
Testing is often viewed as a necessary evil in software development, in order to ensure the quality of applications. Most commonly, however, testing occurs after the codingprocess has been completed. In his book, he even wrote that testing should be done “even before a line of code is written.”
Hence, having a dedicated dashboard tile visualizing the key parameters of each SLO simplifies the process of evaluating them. To implement SLOs in your software delivery cycle and consistently add observability measures from the beginning, Dynatrace “configuration as code” (Monaco and Dynatrace Terraform) will soon support the new API.
When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. SLOs aid decision making.
This powerful tool can be leveraged across various environments, including production, to enhance development processes and ensure robust application performance. On the other hand, deploying new code on the backend is complex and offers no such transparency. Learn the code How often do you dive into a code you dont understand?
ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries.
This level of protection is essential as it lays the foundation for the following testing processes: integration tests, acceptance testing, and finally manual testing, including exploratory testing. We'll also touch upon automation testing , which plays an important role in ensuring code reliability and quality.
There's a handful of software developers on the planet today that seems to be "superhuman software developers". Becoming a superhuman software developer is actually incredibly easy. Becoming a superhuman software developer is actually incredibly easy. To write it out in code, imagine the following.
Developers are increasingly responsible for ensuring the quality and security of code throughout the software lifecycle. Developer-first observability Adding Rookout to the Dynatrace platform will provide developers with increased code-level observability of Kubernetes-hosted production environments.
To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).
Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice? Cloud Automation use cases.
Are you uneasy about application security when government agencies and other organizations crowdsource code? Episode 55 of Tech Transforms tackles these security reservations about open source code. During his discussion with me and Mark Senell, Dr. Magill explains how government agencies can securely use open source code.
Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.
The cybersecurity industry was once again placed on high alert following the discovery of an insidious software supply chain compromise. Allowing remote code execution (RCE) in some instances if successfully exploited represents a high-severity issue with the ability to cause serious damage in established software build processes.
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.
Searching for the right people can take time, especially in large and complex software environments. Despite increasing automation, software development and incident management are human-centered activities. Any software engineer can search for monitored entities that relate to specific deployments and their respective teams.
Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult.
Findings from various stages of the Software Development Lifecycle (SDLC) are mixed in: code scans, build scans, and runtime. Workflows serves as the automation engine to efficiently process and triage the security findings, create working tickets for your DevSecOps teams, and send notifications to the relevant stakeholders.
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.
As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Increased adoption of Infrastructure as code (IaC). Dynatrace news.
This vulnerability, published as CVE-2024-53677 on December 11, 2024, affects the file upload mechanism, allowing for path traversal and potential remote code execution. Our detailed analysis not only illuminates the specifics of CVE-2024-53677 but also offers practical measures to secure your software systems against similar threats.
Introducing sufficient jitter to the flush process can further reduce contention. By creating multiple topic partitions and hashing the counter key to a specific partition, we ensure that the same set of counters are processed by the same set of consumers. This process can also be used to track the provenance of increments.
CI/CD is a series of interconnected processes that empower developers to build quality software through well-aligned and automated development, testing, delivery, and deployment. Together, these practices ensure better collaboration and greater efficiency for DevOps teams throughout the software development life cycle.
At Intel we've been creating a new analyzer tool to help reduce AI costs called AI Flame Graphs : a visualization that shows an AI accelerator or GPU hardware profile along with the full software stack, based on my CPU flame graphs. The gray "-" frames just help highlight the boundary between CPU and AI/GPU code.
CI/CD and Its Importance We all know what CI/CD is and how it fosters a sense of collaboration among teams and enables them to deliver high-quality software efficiently and reliably. CI/CD is important for the following reasons:
Modern observability and security require comprehensive access to your hosts, processes, services, and applications to monitor system performance, conduct live debugging, and ensure application security protection. It automatically discovers and monitors each host’s applications, services, processes, and infrastructure components.
This combination allows a malicious actor with local administrative privileges on a virtual machine to execute code as the virtual machine’s VMX process running on the host. It allows a malicious actor with privileges within the VMX process to trigger an arbitrary kernel write, which can lead to an escape from the sandbox.
DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. Development teams create and iterate on new software applications. Dynatrace news. But what exactly does this mean? Rather, they’re about tactics. Operations.
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