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DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Moreover, teams are constantly dealing with continuously evolving cyberthreats to data both on premises and in the cloud.
What should they do first to set your organization on the path to DevOps automation? By the time your SRE sets up these DevOps automation best practices, you have had to push unreliable releases into production. Most importantly, the right modern observability platform is key to a successful DevOps and SRE implementation.
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 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.
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?
When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Keptn is an open source control plane that enables cloud-native continuous delivery and automated operations. Too many SLOs create complexity for DevOps.
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. Organizations can’t manage their cloud environments effectively with these traditional approaches.
Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. There’s more from Christian and the rest of the Keptn and Autonomous Cloud community that we can all benefit from. Dynatrace news.
In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Most infrastructure and applications generate logs.
With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Following the evaluations, the results are logged in Dynatrace as events.
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.
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.
Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. As cloud complexity grows, it brings more volume, velocity, and variety of log data. Managing this change is difficult.
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.
Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. Example workflow for event-driven vulnerability reporting and escalation.
Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Our Cloud Automation Roadshow brings the latest cloud-native automation practices to our attendees. Our Cloud Automation Roadshow brings the latest cloud-native automation practices to our attendees.
Cloud observability is fast becoming an imperative as more organizations adopt multicloud IT strategies. To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. Multicloud complexity obscures cloud observability. Dynatrace news.
We are pleased to announce Atlassian has selected Dynatrace as a launch partner for its Open DevOps initiative, which combines Atlassian products and best-in-class solutions from key partners to deliver full lifecycle value to customers. Visit the Atlassian Marketplace to explore the integrations today.
Autonomous Cloud is not another lofty marketing term. Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. Dynatrace news.
Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. We want to share how Dynatrace helped us identify and fix memory leaks in one of the most central and critical components within Keptn: our event broker. Dynatrace news. Yes, we can!
Software companies who have already been following and adopting DevOps and site reliability engineering (SRE) practices alongside their shared ancestry in agile concepts came out on top – especially if they adopted those practices across the whole organization and customer value stream. Automated release inventory and version comparison.
Cloud providers, such as AWS, Azure, and GCP, help to automate the process of upscaling or downscaling compute power by providing autoscaling groups. Beyond cloud provider solutions, there are multiple additional frameworks and tools that help IT departments to dynamically adapt their compute power dynamically.
Self-Service Progressive Delivery of Microservices, Automated SLI/SLO based Quality Gates, Continuous Feedback through ChatOps and Automatic Remediation of Production Issues are some of the capabilities you expect from a modern cloud-native software delivery platform. The recent improvements released in Keptn 0.6,
Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.
Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Logs provide information you can’t find anywhere else.
And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. So we built one: The Dynatrace Cloud Automation control plane. Cloud Automation use cases.
Anyone moving to the cloud knows that it isn’t just a change from running servers in your data center to running them in someone else’s data center. If you’re doing it right, cloud represents a fundamental change in how you build, deliver and operate your applications and infrastructure. Dynatrace news. Part of a full-stack solution.
This causes challenges for DevOps and SRE teams when extending the lifecycle with additional steps, integrating new third-party software such as pipeline tools or ITSM tools, or just replacing one tool with another. Dynatrace helps to orchestrate processes independently of DevOps tooling. To address the problem of processes (i.e.,
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. A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices.
NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. But advancements in modern AIOps and cloud automation are now bringing NoOps within reach. For most teams, evolving their DevOps practices has been challenging enough. Or is it just a passing cloud?
In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.
Behind the scenes working to meet this demand are DevOps teams, spinning up multicloud IT environments to accelerate digital transformation so their organizations can sustain growth at this new pace. Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.
Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Managing cloud complexity becomes critical as organizations continue to digitally transform. Over the past 18 months, the need to utilize cloud architecture has intensified.
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.
The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. This includes out-of-the-box health alerts, health indicators, identification of problematic workload and node conditions, and warning events for various Kubernetes components.
As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.
Cloud environments have become ever more complex, with an increasingly interconnected set of services. To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems.
As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments.
AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Aggregation.
While the benefits of AIOps are plentiful — including increased automation, improved event prioritization and incident response, and accelerated digital transformation — applying AIOps use cases to an organization’s real-world operations issues can be challenging. CloudOps includes processes such as incident management and event management.
Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. awareness ? Annotation.
Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. This enables your DevOps teams to get a holistic overview of their multicloud serverless applications. Dynatrace news.
The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. 05:00 – Quick Start – Connect Cloud Automation.
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