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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?
On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. Indeed, around 85% of technology leaders believe their problems are compounded by the number of tools, platforms, dashboards, and applications they rely on to manage multicloud environments.
But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations and automated workflows.
More technology, more complexity The benefits of cloud-native architecture for IT systems come with the complexity of maintaining real-time visibility into security compliance and risk posture. Configuration and Compliance , adding the configuration layer security to both applications and infrastructure and connecting it to compliance.
If you’re doing it right, cloud represents a fundamental change in how you build, deliver and operate your applications and infrastructure. And that includes infrastructure monitoring. This also implies a fundamental change to the role of infrastructure and operations teams. Able to provide answers, not just data.
These are two values he shares with DevOps activist Andreas Grabner, who sat down with Hightower at Dynatrace Perform 2022 to talk about taming Kubernetes and the future of cloud-native technologies. Infrastructure as code vs infrastructure as data. Hightower likes to think of it as infrastructure as data.
Dynatrace is the only Kubernetes monitoring solution that provides continuous automation and full-stack advanced observability without changing code, container images, or deployments. Dynatrace imports pod labels of all processes that are monitored in a pod by a OneAgent code module. Dynatrace news.
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.
This allows teams to extend the intelligent observability Dynatrace provides to all technologies that provide Prometheus exporters. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. documentation.
Developed first at SoundCloud, the project became part of the Cloud Native Computing Foundation (CNCF) and has steadily become the industry standard for both containerized infrastructure and classic implementation scenarios , especially within Kubernetes clusters.
already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. are technologically very different, Python and JMX extensions designed for Extension Framework 1.0 Extensions can monitor virtually any type of technology in your environment. Extensions 2.0
Most of these leverage the unique capability of Dynatrace OneAgent® to extract business data from in-flight application payloads — without writing any code. Dynatrace OpenPipeline is a new stream processing technology that ingests and contextualizes data from any source. Business event ingestion and analysis with log files.
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.
CaaS automates the processes of hosting, deploying, and managing container technologies. 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.
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).
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.
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.
As organizations grapple with mounting cloud complexity, IT teams know they must identify and respond to evolving issues across the entire technology stack—from mainframes to multicloud environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies.
If cloud-native technologies and containers are on your radar, you’ve likely encountered Docker and Kubernetes and might be wondering how they relate to each other. In a nutshell, they are complementary and, in part, overlapping technologies to create, manage, and operate containers. Dynatrace news. But first, some background.
As DevOps pioneer Patrick Debois first described it in 2009, DevOps is not a specific technology, but a tactical approach. With the help of open-source solutions and agile APIs, teams can now deliver and maintain code more efficiently than ever. Solving for silos. Development potential. Operational impact.
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.
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.
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. It highlights the potential of GPT technology to drive “information democracy” even further.
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.
As organizations adopt more cloud-native technologies, infrastructure and application monitoring can get complex. When it comes to Microsoft Azure, it’s about understanding the application workloads and Azure infrastructure. For most organizations, Azure infrastructure is a critical part of a wider IT infrastructure.
In an article published by The Register’s Tom Claburn, Dynatrace chief technology strategist Alois Reitbauer shares his insights on the transformative role Kubernetes played in initiating the cloud-native movement. He explains how this open source project has set the industry standard for container orchestration since its inception.
Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions.
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.
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.
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.
OpenShift and Kubernetes simplify access to underlying infrastructure and help manage the application lifecycle and development workflows. Dynatrace can monitor and orchestrate applications, clusters, and underlying cloud infrastructure in OpenShift. OpenShift automation. Automation has become a major trend during 2020.
AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. It removes the burden of managing underlying infrastructure and is broadly adopted for cloud-native application environments. Dynatrace news. But serverless functions don’t exist in a vacuum.
Because of its matrix of cloud services across multiple environments, AWS and other multicloud environments can be more difficult to manage and monitor compared with traditional on-premises infrastructure. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. Amazon EC2. AWS Lambda.
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.
Distributed tracing follows an interaction by tagging it with a unique identifier, which stays with it as it interacts with microservices, containers, and infrastructure. It can also offer real-time visibility into user experience, from the top of the stack right down to the application layer and the large-scale infrastructure beneath.
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.
positive customer experience via technology is the backbone of the business. We pride ourselves on customer care and clean, safe facilities,” says Ken Schirrmacher, chief technology officer at Park ‘N Fly, during a webinar on the role of IT automation, AIOps, and observability at the company. IT automation speeds code development.
When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 2: Instrument compute and serverless cloud technologies. It only costs about $.01
Finally, because the delivery of compute resources happens entirely in the cloud, the technology enables enterprises to go serverless at the local level. Code development also benefits from a serverless approach. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server.
DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.
DevSecOps initiatives aren’t rooted in a specific technology. Companies can choose whatever combination of infrastructure, platforms, and software will help them best achieve continuous integration and continuous delivery (CI/CD) of new apps and services while simultaneously baking in security measures. What is DevSecOps?
In the recent webinar, Good to great: Case studies in excellence on state and local government transformations, Tammy Zbojniewicz, enterprise monitoring and service delivery owner within Michigan’s Department of Technology, Management, and Budget (DTMB), illustrates that meeting both objectives is possible. over five years.
As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.
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