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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?
But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. And operations teams need to forecast cloud infrastructure and compute resource requirements, then automatically provision resources to optimize digital customer experiences.
More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. Dynatrace news. With public clouds, multiple organizations share resources.
More recently, teams have begun to apply DevOps best practices to infrastructure automation, giving developers a more active role with GitOps as an operational framework. Key components of GitOps are declarative infrastructure as code, orchestration, and observability. Dynatrace enables software intelligence as code.
However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. Eventually Consistent : This category needs accurate and durable counts, and is willing to tolerate a slight delay in accuracy and a slightly higher infrastructure cost as a trade-off.
On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time.
I continued onwards with a few of the architectural challenges you might encounter when older monolithic applications and monitoring tools are still part of an organization's infrastructure landscape. Finally, I walked you through the open-source visualization and dashboard project called Perses by introducing my hands-on workshop.
Take your monitoring, data exploration, and storytelling to the next level with outstanding data visualization All your applications and underlying infrastructure produce vast volumes of data that you need to monitor or analyze for insights. Infrastructure health: A honeycomb chart is often used to visualize infrastructure health.
In the coming weeks and months, we will add to the current collection of templates for synthetic monitoring, digital experience management measures, Kubernetes resource optimization, and infrastructure monitoring. At the same time, dedicated configuration-as-code support in Monaco and Terraform will provide a scalable, automated solution.
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. Duet AI makes coding feel like a chat, making complex tasks simple and enjoyable. Duet AI by Google is an amazing tool for app developers.
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.
This discipline merges software engineering and operations, aiming to create a robust infrastructure that supports seamless user experiences. Each section will be illustrated with relevant Java code samples to provide practical insights.
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.
Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. But increased speed creates a tradeoff: According to another study, nearly half of organizations consciously deploy vulnerable code because of time pressure. Increased adoption of Infrastructure as code (IaC).
Most of these leverage the unique capability of Dynatrace OneAgent® to extract business data from in-flight application payloads — without writing any code. Since then, many of our customers have embraced the opportunity to explore and adopt new business analytics use cases. Business process monitoring and optimization.
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.
A natural solution is to make flows configurable using configuration files, so variants can be defined without changing the code. Unlike parameters, configs can be used more widely in your flow code, particularly, they can be used in step or flow level decorators as well as to set defaults for parameters.
Because container as a service doesn’t rely on a single code language or code stack, it’s platform agnostic. The emergence of Docker and other container services enabled companies to transport code quickly and easily. The classes of CaaS. How CaaS compares with PaaS, IaaS, and FaaS. CaaS vs. PaaS.
To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Dynatrace AWS monitoring gives you an overview of the resources that are used in your AWS infrastructure along with their historical usage.
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. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery.
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Metrics can originate from a variety of sources, including infrastructure, hosts, services, cloud platforms, and external sources.
By using Terraform, a widespread Infrastructure as Code (IaC) tool, you can automate the deployment of EMQX MQTT Broker on AWS, making it easy to set up and manage your MQTT infrastructure. As a popular open-source MQTT broker, EMQX provides high scalability, reliability, and security for MQTT messaging.
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. It all starts with the code. Dynatrace has established a secure SDL, which automatically enforces that all developed code is reviewed by a peer.
These methods improve the software development lifecycle (SDLC), but what if infrastructure deployment and management could also benefit? Development teams use GitOps to specify their infrastructure requirements in code. Known as infrastructure as code (IaC), it can build out infrastructure automatically to scale.
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.
Dynatrace with Red Hat OpenShift monitoring stands out for the following reasons: With infrastructure health monitoring and optimization, you can assess the status of your infrastructure at a glance to understand resource consumption and thus optimize resource allocation for cost efficiency.
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.
To solve this problem , Dynatrace offers a fully automated approach to infrastructure and application observability including Kubernetes control plane, deployments, pods, nodes, and a wide array of cloud-native technologies. None of this complexity is exposed to application and infrastructure teams.
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.
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. And if you don’t own the code for a specific service, you lose end-to-end visibility.
These incidents underscore the wide-ranging causes of outages in microservices architectures, encompassing configuration errors, database issues, infrastructure scaling failures, and code problems.
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.
Years later, a few configuration management solutions came into play that required heavy amounts of coding, but proved that the industry was moving toward compartmentalized automation solutions. These evaluations that I hard-coded into a script were now embedded into the back-end of Ansible’s modular approach.
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.
If you're tired of managing your infrastructure manually, ArgoCD is the perfect tool to streamline your processes and ensure your services are always in sync with your source code. Say goodbye to the headaches of manual infrastructure management and hello to a more efficient and scalable approach with ArgoCD!
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.
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. Through resource allocation!
Code development also benefits from a serverless approach. Then, they can apply DevSecOps best practices to fully test new code and see what breaks without affecting current operations. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. No infrastructure to maintain.
Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. Infrastructure as a service (IaaS) handles compute, storage, and network resources.
Navigate digital infrastructure complexity In today’s rapidly evolving digital environment, organizations face increasing pressure from customers and competitors to deliver faster, more secure innovations. Use case: Digital infrastructure change The problem is not always in the application.
Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. They need ways to monitor infrastructure, even if it’s no longer on premises. Right-sizing infrastructure. Repurchase.
Save time by directly analyzing code-level information. With the unique code-level capabilities of Davis, we’ve reduced the number of clicks required to reach and understand code-level findings. Beyond traceability: From root cause to code-level context in a single click.
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.
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