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We’re excited to share that Dynatrace has been recognized in the DevOps: Observability category of InfoWorlds 2024 Technology of the Year awards! The post Dynatrace wins InfoWorlds 2024 Technology of the Year Award for DevOps: Observability appeared first on Dynatrace news. Register now !
This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates. Dynatrace news.
Takeaways from this article on DevOps practices: DevOps practices bring developers and operations teams together and enable more agile IT. Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. They need automated DevOps practices.
With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?
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.
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.
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.
However, despite its rise in popularity, some challenges persist, disallowing DevOps teams from reaping the full benefits of building cloud-native applications with K8s. How do they walk the tightrope and deliver their best projects? Let’s take a quick trip together.
Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.
As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. Automation is a crucial aspect of achieving DevOps excellence. But according to the 2023 DevOps Automation Pulse , only 56% of end-to-end DevOps processes are automated.
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Find and prevent application performance risks A major challenge for DevOps and security teams is responding to outages or poor application performance fast enough to maintain normal service.
With hands-on experience in AWS DevOps and Google SRE, I’d like to offer my insights on the comparison of these two systems. In this article, I’ll give a brief overview of AWS DevOps and Google SRE , examine when they work best, delve into potential pitfalls to avoid, and provide tips for maximizing the benefits of each.
DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. Automation can be particularly powerful when applied to DevOps workflows. Automation thus contributes to accelerated productivity and innovation across the organization.
As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. DevOps engineer tools can help ease the pressure as environment complexity grows. ” What does a DevOps platform engineer do? A DevOps platform engineer is a more recent term.
To meet this demand, organizations are adopting DevOps practices , such as continuous integration and continuous delivery, and the related practice of continuous deployment, referred to collectively as CI/CD. Continuous delivery seeks to make releases regular and predictable events for DevOps staff, and seamless for end-users.
DevOps encompasses a set of practices and principles that blend development and operations to deliver high-quality software products efficiently and effectively by fostering a culture of open communication between software developers and IT professionals.
Organizations are increasingly adopting DevOps to stay competitive, innovate faster, and meet customer needs. By helping teams release new software more frequently, DevOps practices are an essential component of digital transformation. Thankfully, DevOps orchestration has evolved to address these problems. What is orchestration?
In the ever-evolving world of DevOps , the ability to gain deep insights into system behavior, diagnose issues, and improve overall performance is one of the top priorities. Monitoring and observability are two key concepts that facilitate this process, offering valuable visibility into the health and performance of systems.
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.”
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.
That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. All of these factors challenge DevOps maturity. Data scale and silos present challenges to DevOps maturity DevOps teams often run into problems trying to drive better data-driven decisions with observability and security data.
DevOps and site reliability engineering (SRE) teams aim to deliver software faster and with higher quality. We refer to this culture and practice as observability-driven DevOps and SRE automation. The role of observability within DevOps. The results of observability-driven DevOps speak for themselves.
DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). Here’s what these metrics mean and how they relate to other DevOps metrics such as MTTA, MTTF, and MTBF. Mean time to respond (MTTR) is the average time it takes DevOps teams to respond after receiving an alert.
So how do development and operations (DevOps) teams and site reliability engineers (SREs) distinguish among good, great, and suboptimal SLOs? The state of service-level objectives While SLOs play a critical role in helping DevOps and SRE teams align technical objectives with business goals, they’re not always easy to define.
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.
I am an avid reader of technical books, specifically those focused on Cloud, DevOps, and Site Reliability Engineering ( SRE ). In this post, I will share a list of books that I believe are essential for anyone looking to start or advance their career in Cloud, DevOps, or SRE.
With Metis, were making database troubleshooting as seamless as any other part of the DevOps workflow. Developers today are expected to ship features at lightning speed while also being responsible for database health, an area that traditionally required deep expertise.
Continuous visibility and assessment provide platform engineering, DevSecOps, DevOps, and SRE teams with the ability to track, validate, and remediate potential compliance-relevant findings and create the necessary evidence for the auditing process.
The word DevOps comes from the term development and operations. The development and operations team had their separate functions and objectives. As both teams worked separately, it led to long development hours, smaller batch releases, and unhappy customers. Both teams merged to bring uniformity to speed up the developmental process.
In modern software development, DevOps methods have evolved into the pillar of dependable and effective product delivery. This article explores the need for uniting log monitoring in DevOps, the associated difficulties, and approaches for achieving harmony in CI/CD processes.
In the dynamic realm of modern software development and operations, terms such as Platform Engineering, DevOps, and Site Reliability Engineering (SRE) are frequently used, sometimes interchangeably, often causing confusion among professionals entering or navigating these domains.
As more organizations embrace DevOps and CI/CD pipelines, GitHub-hosted runners and GitHub Actions have emerged as powerful tools for automating workflows. But as with many other automation tools, it can be difficult to maintain the performance and visibility of these workflows.
In DevOps, both monitoring and observability are critical. Because it lets you maintain system reliability, diagnose problems, and enhance performance, effectively and efficiently.
As enterprises embrace more distributed, multicloud and applications-led environments, DevOps teams face growing operational, technological, and regulatory complexity, along with rising cyberthreats and increasingly demanding stakeholders.
This enables DevOps platform engineers to make the right release decisions for new versions and empowers SREs to apply Service-Level Objectives (SLOs) for their critical services.
DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. How full-stack observability enhances IT and DevOps. Here are a few ways full-stack observability can benefit your IT and DevOps teams. Watch webinar now!
As organizations become cloud-native and their environments more complex, DevOps teams are adapting to new challenges. Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. What is this new discipline, and is it a game-changer or just hype?
A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. Download the 2021 DevOps Report. Cultural issues.
DORA ( DevOps Research and Assessment ) metrics, developed by the DORA team have become a standard for measuring the efficiency and effectiveness of DevOps implementations. As organizations start to adopt DevOps practices to accelerate software delivery, tracking performance and reliability becomes critical.
Today, I want to share my experience working with Zabbix, its architecture, its pros, and its cons. Zabbix is a universal monitoring tool that combines data collection , data visualization , and problem notification. It also allows for some advanced features, such as problem prediction.
. “Platform engineering is increasingly becoming the focal point for organizations seeking to advance the maturity of their DevOps automation practices,” says Anita Schreiner, vice president of delivery at Dynatrace, in the 2023 DevOps Automation Pulse report. To some extent, the two practices complement each other.
AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. DevOps methodology—which brings development and ITOps teams together—also forwards digital transformation. And according to Statista , $2.4
According to the 2020 DevOps Pulse survey of more than a thousand DevOps practitioners from mostly mid-to-large sized development and IT Ops shops, 56% of respondents store more than half their infrastructure in the cloud, while 42% store 75% or more.
The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. Dynatrace news. What is GitOps? Dynatrace enables observability in GitOps. The post What is GitOps?
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