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Unify tools to eliminate redundancies, rein in costs, and ease compliance : This not only lowers the total cost of ownership but also simplifies regulatory audits and improves software quality and security. Standardizing platforms minimizes inconsistencies, eases regulatory compliance, and enhances software quality and security.
.” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. Here, we’ll tackle the basics, benefits, and best practices of IAC, as well as choosing infrastructure-as-code tools for your organization. What is infrastructure as code? Consistency.
Configuration and Compliance , adding the configuration layer security to both applications and infrastructure and connecting it to compliance. Customers ingest these findings to Dynatrace and track software quality and security from development to production.
Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.
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).
And it enables executives to have unprecedented insight into how user experiences, applications and underlying infrastructure health can power their business. By automating root-cause analysis, TD Bank reduced incidents, speeding up resolution times and maintaining system reliability. The result?
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?
This leads to frustrating bottlenecks for developers attempting to build and deliver software. A central element of platform engineering teams is a robust Internal Developer Platform (IDP), which encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications.
To address this, state and local governments are adopting multicloud environments to achieve the necessary speed, scale, and agility to keep up with faster digital transformation. The importance of critical infrastructure and services While digital government is necessary, protecting critical infrastructure and services is equally important.
For organizations running their own on-premises infrastructure, these costs can be prohibitive. Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. What is always-on infrastructure?
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.
As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. That can be difficult when the business climate can prioritize speed. According to GitLab’s 2021 Global DevSecOps Survey , 36% of respondents develop software using DevSecOps, compared with only 27% in 2020.
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.
Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Observability.
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. Otherwise, contact our Services team.
Data sources typically include common infrastructure monitoring tools and second-generation APM solutions as well as other solutions. Another huge advantage of that approach is speed. eBook: AIOps Done Right: Automating the Next Generation of Enterprise Software. Webinar Series: AIOps with Dynatrace software intelligence.
The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. These methods improve the software development lifecycle (SDLC), but what if infrastructure deployment and management could also benefit? GitOps improves speed and scalability.
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. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.
Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.
Like any other software, OneAgents need to be maintained, updated, and monitored. Speed of management: with a single command you can manage hundreds or thousands of Dynatrace OneAgents almost instantaneously, wherever they are and whatever they are configured to do. ” – a Dynatrace customer. More use cases to come.
Effective application development requires speed and specificity. Cloud providers then manage physical hardware, virtual machines, and web server software management. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. Dynatrace news.
Certified for Red Hat OpenShift, Dynatrace is now available on the Red Hat Marketplace for customers to try, buy, and deploy, to manage their enterprise applications and infrastructure across their dynamic multi-cloud environments. Accelerating DevOps processes and innovations via intelligent observability .
Across both his day one and day two mainstage presentations, Steve Tack, SVP of Product Management, described some of the investments we’re making to continue to differentiate the Dynatrace Software Intelligence Platform. Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module.
They can identify outdated or insecure versions of software at any layer, from application dependencies to Kubernetes components. Ease of integration: Look for a solution that integrates seamlessly with your CI/CD pipeline, observability and security solutions, and existing cloud infrastructure.
In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security. Modern solutions like Snyk and Dynatrace offer a way to achieve the speed of modern innovation without sacrificing security. Try Dynatrace and Snyk for free or purchase on the AWS Marketplace.
In the Magic Quadrant report, Gartner defines APM as, “software that enables the observation of application behavior and its infrastructure dependencies, users, and business key performance indicators (KPIs) throughout the application’s life cycle.” We are grateful for this recognition.
For Federal, State and Local agencies to take full advantage of the agility and responsiveness of a DevOps approach to the software lifecycle, Security must also play an integral role across lifecycle stages. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.
For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. where an error occurred at the code level.
It’s more important than ever for organizations to ensure they’re taking appropriate measures to secure and protect their applications and infrastructure. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.
In an era dominated by automated, code-driven software deployments through Kubernetes and cloud services, human operators simply can’t keep up without intelligent observability and root cause analysis tools. This approach ensures that your operation teams have all the tools they need to manage modern software deployments.
As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage. Further, many organizations—more than 90%—have turned to cloud computing to navigate the highwire act of balancing speed and quality.
These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. “Ally continues to push the envelope to further monitor their cloud infrastructure costs. This resulted in significant savings and much faster ROI. I’m thrilled to see what’s in store for Ally Financial.”
DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. How do organizations implement this approach to software development, and what capabilities do they need to make this shift a success? Dynatrace news.
But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” It supports the industry’s most widely used software applications?—?via
Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. But with that speed and agility comes new complications and complexity, all while maintaining performance and reliability with less than 1% down-time per year. That’s where SRE comes in. DevOps as a philosophy.
Azure shines when it comes to building and running your software with speed and agility, empowering developers to build productively and innovate faster. Hybrid, multi-cloud application and infrastructure environments can’t be siloed – visibility is needed for critical interdependencies.
Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. Less complexity in software releases.
It will let you focus on where you want to be – building and running apps perhaps – while GKE Autopilot ‘self-flies’ the rest of the infrastructure for you. Just as GKE Autopilot is running your Kubernetes infrastructure, by deploying the Dynatrace Operator, the ? GKE Autopilot and beyond.
Just like all other regions of the world, Dynatrace customers in Latin American (LATAM) are confronting new challenges as the global pandemic of COVID-19 forces companies to adapt to application and software demands. And more importantly, can organizations’ infrastructure cope with the increasing demand? SERVICE PROVIDER.
IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Therefore, many organizations turn to a data lakehouse, which combines the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Learn more.
Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. At its core, DevOps is a collaborative framework between development and operations teams whose goal is to streamline software development.
Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure.
Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances.
Yet as software environments become more complex, there are more ways than ever for malicious actors to exploit vulnerabilities, even in the application development and delivery pipeline. Why application security measures are failing. Security happens during, not after development. The result is security by design.
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