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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.
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?
To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems. But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise.
One of the promises of container orchestration platforms is to make i t easier for the developers to accelerate the deployment of their app lication s without having to worry about scalability and infrastructure dependencies. If nodes run out of resources, Kubernetes may start killing pods or throttle applications.
HashiCorp’s Terraform is an open-source infrastructure as a code software tool that provides a consistent CLI workflow to manage hundreds of cloud services. Per HashiCorp, this codification allows infrastructure changes to be automated while keeping the definition human readable. What is monitoring as code?
By which I mean it can make developers produce more. The question is whether those developers are producing something good or not. The difference between an experienced developer and a junior is that an experienced developer knows: There’s more than one good solution to every problem. I want to be very clear here.
Protecting IT infrastructure, applications, and data requires that you understand security weaknesses attackers can exploit. Examples of such weaknesses are errors in application code, misconfigured network devices, and overly permissive access controls in a database. Dynatrace news. How does vulnerability assessment work? Assess risk.
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.
Security controls in the software development life cycle (SDL). Typically, the attackers attempt to exploit some weakness in the vendor’s development or delivery life cycle and attempt to inject malicious code before an application is signed and certified. Security controls in the software development life cycle (SDL).
As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.
Effective application development requires speed and specificity. Applications must work as intended and make their way through development pipelines as quickly as possible. FaaS enables enterprises to deliver on the evolving expectations of fast and furious app development. But what is FaaS? How does function as a service work?
The Dynatrace Software Intelligence Platform gives you a complete Infrastructure Monitoring solution for the monitoring of cloud platforms and virtual infrastructure, along with log monitoring and AIOps. What’s next. If you need to monitor other DNS servers, please let us know.
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.
AWS Security Hub findings AWS Security Hub provides a great way of aggregating security findings, especially those related to cloud infrastructure. Findings from various stages of the Software Development Lifecycle (SDLC) are mixed in: code scans, build scans, and runtime. This increases the number of findings to prioritize.
At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Configuration as code is easy to use, update, and understand.
Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”
Flutter offers a mobile development model that allows you to do just that. Today, the production apps of many big companies use Flutter, which has a steadily growing community of developers. ” As a developer, you might want to quickly find and analyze errors and crashes to make sure they don’t recur.
Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent.
Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. Today’s story is about how the Keptn development team is using Dynatrace during development and load-testing. Conclusion: Dynatrace is always on for us developers.
Duet AI by Google is an amazing tool for app developers. It uses advanced AI to make coding easier. You can talk to it like you talk to a friend, and it helps you write code, fix problems, and learn coding tricks. It's great for both experienced developers and beginners.
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).
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.
The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. Platform engineering best practices for delivering a highly available, secure, and resilient Internal Development Platform: Centralize and standardize.
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 also requires extensive approvals for any development.
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed.
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. These issues can arise from errors in the code, insufficient testing, or unforeseen interactions among software components.
Serverless architecture is a way of building and running applications without the need to manage infrastructure. You write your code, and the cloud provider handles the rest - provisioning, scaling, and maintenance. AWS offers various serverless services, with AWS Lambda being one of the most prominent.
In software development, maintaining high code quality and reliability is crucial for building robust applications. A key metric for gauging testing effectiveness is code coverage, which measures the percentage of code executed during automated tests.
Kubernetes simplifies the operation and development of distributed applications by streamlining the deployment of containerized workloads and distributing them over a set of nodes. But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes.
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?
Container environments enable enterprises to quickly deploy and develop cloud-native applications that can run anywhere. Because container as a service doesn’t rely on a single code language or code stack, it’s platform agnostic. CaaS automates the processes of hosting, deploying, and managing container technologies.
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.
As someone who has worked deep in the coding trenches with developers my whole life, I’ve hand-picked the top three mistakes you can make when moving to Kubernetes. Kubernetes was made for the Configuration as Code paradigm, and all those YAML files belong in a Git repo. Using GitOps tools such as Flux. Easy scalability.
This modular microservices-based approach to computing decouples applications from the underlying infrastructure to provide greater flexibility and durability, while enabling developers to build and update these applications faster and with less risk. What is a service mesh? How service meshes work: The Istio example.
With growing multicloud complexity and the need for organization-wide scalability, self-service and automation capabilities have become increasingly essential for developer productivity. Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries.
With automatic and intelligent observability of all their infrastructure, apps, services, and workloads and their dependencies, Dynatrace pinpoints exactly where something is going wrong. Infrastructure as code vs infrastructure as data. Hightower likes to think of it as infrastructure as data.
A unified platform approach to observability and security Dynatrace and its partners offer powerful solutions to complex business resiliency challenges through an observability and security platform that delivers a unified view of applications, infrastructure, and business processes.
Infrastructure as Code on Azure - ARM. These days, most developers are familiar with the concept of having our applications’ and systems’ infrastructure defined in descriptive and version-controlled code which generates the same environment, every time it’s applied.
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.
Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. Were also betting that this will be a time of software development flourishing. The way out?
In today’s rapidly evolving business and technology landscape, organizations often prioritize the speed of development over security. The concern is that comprehensive application security in CI/CD environments is too hard to achieve and would slow down development and delivery.
As organizations look to transform and modernize, OpenShift allows you to scale to grow your business through cloud-native development. OpenShift and Kubernetes simplify access to underlying infrastructure and help manage the application lifecycle and development workflows. OpenShift automation.
Codedevelopment also benefits from a serverless approach. Application developers can spin up isolated test environments that pose no risk to current operations. Then, they can apply DevSecOps best practices to fully test new code and see what breaks without affecting current operations. No infrastructure to maintain.
AIOps and observability for infrastructure management. Accordingly, for organizations developing and managing applications in the cloud, AIOps (AI for IT operations) has become a key tool to understand application performance problems, cybersecurity threats, and more. IT automation speeds codedevelopment.
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