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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 !
DevOps and Site Reliability Engineering (SRE) both seem to rule the world of softwaredevelopment, and at the same time, both appear to overlap or confuse people to some extent. DevOps Engineer. Today, we will try to analyze both terms and see if we can see some differentiating factors between the two.
Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This leads to frustrating bottlenecks for developers attempting to build and deliver software.
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. 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.
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. In fact, the Dynatrace 2023 CIO Report found that 78% of respondents deploy software updates every 12 hours or less. What is DevOps monitoring?
As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year.
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 integration streamlines development. If the test fails, the system notifies the team to fix the code.
Staying ahead of customer needs requires speed and agility from all phases of the softwaredevelopment life cycle (SDLC). 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?
Cloud-native environments bring speed and agility to softwaredevelopment and operations (DevOps) practices. So which is it: SRE vs DevOps, or SRE and DevOps? DevOps is focused on optimizing softwaredevelopment and delivery, and SRE is focused on operations processes. DevOps as a philosophy.
DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. How do organizations implement this approach to softwaredevelopment, and what capabilities do they need to make this shift a success?
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.
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.
According to recent research from TechTarget’s Enterprise Strategy Group (ESG), generative AI will change softwaredevelopment activities, from quality assurance to debugging to CI/CD pipeline configuration. On the whole, survey respondents view AI as a way to accelerate softwaredevelopment and to improve software quality.
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 softwaredevelopers and IT professionals.
What should they do first to set your organization on the path to DevOps automation? Developsoftware to measure SLOs and track releases? By the time your SRE sets up these DevOps automation best practices, you have had to push unreliable releases into production. Dashboards for DevOps and SREs. Releases overview.
But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. 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.
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.
You have set up a DevOps practice. Now, with the hard work done, you can sit back, relax, and witness the collaboration between your Dev and Ops teams as they deliver better quality software faster. The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. Dynatrace news.
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. Examples of qualitative questions include: How is automation created at your organization?
DevOps orchestration is essential for development teams struggling to balance speed with quality. Why DevOps orchestration needs cloud automation. As the pace of business accelerates, developers are feeling the pain. They struggle to accelerate development cycles, and code quality can suffer. Dynatrace news.
2020 cemented the reality that modern softwaredevelopment practices require rapid, scalable delivery in response to unpredictable conditions. Microservices are flexible, lightweight, modular software services of limited scope that fit together with other services to deliver full applications. Dynatrace news.
2020 cemented the reality that modern softwaredevelopment practices require rapid, scalable delivery in response to unpredictable conditions. Microservices are flexible, lightweight, modular software services of limited scope that fit together with other services to deliver full applications. Dynatrace news.
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.
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.”
The DevOps approach to developingsoftware aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.
The DevOps approach to developingsoftware aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.
Combining Dynatrace’s automated and intelligent observability and DevOps orchestration with JFrog’s CI/CD helps teams deliver better software faster. I am excited to announce a new integration with leading DevOps innovator, JFrog, to help organizations meet this demand. Additional benefits provided by Dynatrace include: .
Anton Alputov , the DevOps architect of Valletta SoftwareDevelopment, shared his DevOps expertise both with me and with the readers. Deploying software updates can often feel like walking a tightrope — one wrong step, and you risk downtime, bugs, or a frustrating user experience.
When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Developers want to write high-quality code and deploy it quickly. Dynatrace developed and released Keptn to open source in 2020. Dynatrace news.
Today, every organization is a software company, driven by demands for better, more connected digital experiences. To keep up, we’ve seen growing interest in DevOps and continuous delivery , as organizations aim to deliver new digital services and experiences faster. What is DevOps? DevOps is what we aspire to.
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.
With the launch of ChatGPT, an AI chatbot developed by OpenAI, in November 2022, large language models (LLMs) and generative AI have become a global sensation, making their way to the top of boardroom agendas and household discussions worldwide. GPTs can also help quickly onboard team members to new development platforms and toolsets.
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.
In today’s digital world, software is everywhere. Software is behind most of our human and business interactions. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. What is software automation? What is software analytics?
Why organizations are turning to softwaredevelopment to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure softwaredevelopment that delivers business value. Softwaredevelopment success no longer means just meeting project deadlines.
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.
When organizations implement SLOs, they can improve softwaredevelopment processes and application performance. SLOs improve software quality. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. SLOs aid decision making.
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.
Many organizations that have integrated their softwaredevelopment and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. The status quo of the DevOps toolchain.
As more organizations embrace DevOps and CI/CD pipelines, GitHub-hosted runners and GitHub Actions have emerged as powerful tools for automating workflows. Everyone involved in the software delivery lifecycle can work together more effectively with a single source of truth and a shared understanding of pipeline performance and health.
Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability.
Every softwaredeveloper has faced the frustration of debugging. Whether it means jumping between multiple windows, sifting through extensive logs to track down bugs, trying to reproduce locally, or requesting additional redeployments from DevOps, debugging poses significant challenges and a resource drain.
Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. The ability to scale testing as part of the softwaredevelopment lifecycle (SDLC) has proven difficult.
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