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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!
The Federal Reserve Regulation HH in the United States focuses on operational resilience requirements for systemically important financial market utilities. Proactive systems like Dynatrace’s Davis AI can automate responses to threats, swiftly implementing remediation while keeping executives informed of actions taken and their impact.
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.
For operations, development and security teams, the pressure to deliver better, more secure software faster has never been more critical for business value. Dynatrace Delivers Software Intelligence as Code. They’re really getting more of a system.”?. Dynatrace news. Learn more!
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.
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.
Every software developer has faced the frustration of debugging. Developers deserve a seamless way to troubleshoot effectively and gain quick insights into their code to identify issues regardless of when or where they arise. With a single click, developers can access the necessary and relevant data without adding new code.
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. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.
Regarding contemporary software architecture, distributed systems have been widely recognized for quite some time as the foundation for applications with high availability, scalability, and reliability goals. Spring Boot's default codes and annotation setup lessen the time it takes to design an application.
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?
It sits at the very beginning of the process before the code is written and can save an immense amount of time down the road (of somebody spending tons of time just to get to a dead-end). I really like what one of the smartest people with whom I worked said: “A good design is a design where you can see the code”. Important note.
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.
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.
GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. GPTs can also help quickly onboard team members to new development platforms and toolsets.
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.
Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time.
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.
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices are flexible, lightweight, modular software services of limited scope that fit together with other services to deliver full applications. Dynatrace news. What are microservices?
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices are flexible, lightweight, modular software services of limited scope that fit together with other services to deliver full applications. Dynatrace news. What are microservices?
Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Distributed cloud systems are complex, dynamic, and difficult to manage without the proper tools. What is log management?
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.
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. Saturation.
It doesn’t matter if you need typically used failure-rate or response-time metrics to ensure your system’s availability and performance or if you need to rely on abnormal log drops to gain insights into raising problems—SLOs leveraged with Grail provide all the information you need.
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.
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.
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.
The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Traditional versus GenAI software: Excitement builds steadilyor crashes after the demo. The way out?
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).
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 softwaresystems against similar threats.
Failures in a distributed system are a given, and having the ability to safely retry requests enhances the reliability of the service. Implementing idempotency would likely require using an external system for such keys, which can further degrade performance or cause race conditions.
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. Dynatrace news.
Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. Key ingredients required to deliver better software faster. Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC).
Discover how Livi navigated the complexities of transitioning MJog, a legacy healthcare system, to a cloud-native architecture, sharing valuable insights for successful tech modernization. Our experience illustrates that transitioning from legacy systems to cloud-based microservices is not a one-time project but an ongoing journey.
In part one of this series , I talked through the common pain points software delivery teams face as they’re asked to support cloud adoption and modernization initiatives. Example #3 – Automate Monitoring configuration as code. Below is a picture illustrating the use case of using Monaco as part of a code delivery pipeline.
Every software development team grappling with Generative AI (GenAI) and LLM-based applications knows the challenge: how to observe, monitor, and secure production-level workloads at scale. Any error codes or guardrail triggers. Youve found the why without manually spelunking logs in disparate systems.
Heres more about the VMware security advisory and how you can quickly find affected systems using Dynatrace so you canautomate remediation efforts. With a TOCTOU vulnerability, an attacker can manipulate a system between the time a resource’s state is checked and when it’s used, also known as a race condition.
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.
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.
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. Changes are introduced on a controlled schedule, typically once a week, to reduce the risk of affecting customer systems.
Due to its versatility for storing information in both structured and unstructured formats, PostgreSQL is the fourth most used standard in modern database management systems (DBMS) worldwide 1. Offering comprehensive access to files, software features, and the operating system in a more user-friendly manner to ensure control.
The article, titled “ K8s celebrates KuberTENes: A decade of working together ,” applauds the collective efforts of more than 88,000 members of a committed community who have offered code and insight to improve Kubernetes.
TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. The prompt-and-pray modelwhere business logic lives entirely in promptscreates systems that are unreliable, inefficient, and impossible to maintain at scale.
As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.
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.
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