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DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments.
In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. Though the industry champions observability as a vital component, it’s become clear that teams need more than data on dashboards to overcome persistent DevOps challenges.
As more organizations embrace DevOps and CI/CD pipelines, GitHub-hosted runners and GitHub Actions have emerged as powerful tools for automating workflows. That’s where Dynatrace business events and automation workflows come into play to provide a comprehensive view of your CI/CD pipelines.
DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. What is DevOps automation? DevOps automation is a set of tools and technologies that perform routine, repeatable tasks that engineers would otherwise do manually.
As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. “In fact, this is one of the major things that [hold] people back from really adopting DevOps principles.”
As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. DevOps and DevSecOps practices help organizations release software faster and more frequently, paving the way for digital transformation.
DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.
The events of 2020 accelerated the trend of organizations shifting to cloud-native technologies in response to the dramatic increase in demand for online services. Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. So which is it: SRE vs DevOps, or SRE and DevOps?
Infrastructure complexity is costing enterprises money. AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. As 69% of CIOs surveyed said, it’s time for a “radically different approach” to infrastructure monitoring.
But are observability platforms—born from the collision between the demands of cloud computing and the limitations of APM and infrastructure monitoring—the best solution for managing business analytics? To close these critical gaps, Dynatrace has defined a new class of events called business events.
This lets you build your SLOs around the indicators that matter to you and your customers—critical metrics related to availability, failure rates, request response times, or select logs and business events. Are you experiencing an increase or degradation in certain events that indicate a rising problem?
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.
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?
Modern service infrastructure depends heavily on IT’s ability to dynamically scale the number of hosts up or down, depending on the expected workload. To enable you to automatically detect the shutdown of spot instances and the scaling up or down of third-party autoscaling solutions, we’ve introduced a new event type. Dynatrace news.
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. The effectiveness of this automation relies on the quality of the underlying data.
Problem remediation is too time-consuming According to the DevOps Automation Pulse Survey 2023 , on average, a software engineer takes nine hours to remediate a problem within a production application. Dynatrace Davis AI identifies the problem and maps the configuration change event to the root cause and the correct entity.
More specifically, I’ll demonstrate how in just a few steps, you can add Dynatrace information events to your Azure DevOps release pipelines for things like deployments, performance tests, or configuration changes. Microsoft DevOps Azure is one of the best CI/CD systems and a strategic technical Dynatrace partner. Dynatrace API.
In those cases, what should you do if you want to be proactive and ensure that your infrastructure is always up and running? Are you looking to monitor your infrastructure using one of our ready-made extensions, or would you like to draw on our experience and create your own synthetic monitors? Platform extensions.
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?
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.
Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. The time and effort saved with testing and deployment are a game-changer for DevOps. Event logs for ad-hoc analysis and auditing.
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.
NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. DevOps requires infrastructure experts and software experts to work hand in hand. Introduction of AIOps.
A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC).
Early in my IT career, I worked in IT Ops and DevOps roles, building release deployment solutions for repeatable outcomes. The market offers plenty of monitoring solutions that can link a specific monitored event with a specific scripted action. Back then, the concept of automation meant something different.
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.
Most infrastructure and applications generate logs. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. In short, log management is how DevOps professionals and other concerned parties interact with and manage the entire log lifecycle.
Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. Learn more here. What is AWS Lambda? What is AWS Lambda?
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). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware.
Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.
Understanding the difference between observability and monitoring helps DevOps teams understand root causes and deliver better applications. Vulnerability assessment: Protecting applications and infrastructure – Blog. Vulnerability assessment tools are essential for protecting IT infrastructure, applications, and data.
As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity.
Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale.
Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. Often, organizations choose to reduce costs by running their infrastructure on reserved instances. But this task has become challenging.
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. These phases must be aligned with security best practices, as discussed in A Beginner`s Guide to DevOps.
ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. ITOps vs. DevOps and DevSecOps.
Modern observability has evolved from simple metric telemetry monitoring to encompass a wide range of data, including logs, traces, events, alerts, and resource attributes. Transform your operations today with the new Problems app and stay ahead in the ever-evolving software and cloud infrastructure landscape.
They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Predictive AI empowers site reliability engineers (SREs) and DevOps engineers to detect anomalies and irregular patterns in their systems long before they escalate into critical incidents. Proactive resource allocation.
Without the ability to see the logs that are relevant to your service, infrastructure, or cloud function—at exactly the right time and in exactly the right format—your cloud or DevOps engineers lose the ability to find the root causes of the issues they troubleshoot. Managing this change is difficult.
Using environment automation from both AWS and Dynatrace, supported by the AWS InfrastructureEvent Management program , Dynatrace University successfully delivered the required environments – these were three times more than the conference the year before. Perform 2020 Infrastructure Setup. True DevOps culture in action!
And operations teams need to forecast cloud infrastructure and compute resource requirements, then automatically provision resources to optimize digital customer experiences. Cloud-native engineers benefit by creating GitOps-style automation-as-code and can evaluate Kubernetes events for faster issue remediation.
Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.
Amplify PowerUP, our half-yearly global event to update our partner community, covered a lot of ground including key Partner Program announcements, Q2 earnings and partner contribution, market growth and momentum, Dynatrace platform capabilities, and the partner services offering the platform powers. DevOps and Cloud Ops Automation.
Instead of immediately firing off an alert for all raw events, the Davis root-cause engine follows each violating service’s causal relationships. DevOps teams use this page to quickly identify and remediate unexpected incidences. Usually, the journey doesn’t stop here.
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