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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. What is prompting you to change? How do you make this happen?
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. 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.
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.
In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale.
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?
DevOps metrics and digital experience data are critical to this. Yet for the hospitality sector, the adoption of digital strategies has not been so obvious. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal.
After a decade of helping companies manage container orchestration, Kubernetes, the open source container platform, has established itself as a mature enterprise technology. He points to the shift from DevOps to platform engineering , or as he calls it, Foundation Engineering. “Software is built in layers,” Spier explained.
Organizations in every industry are engaged in some form of digital transformation, integrating technology into all areas of the business. Digital transformation strategies are fundamentally changing how organizations operate and deliver value to customers. Digital tools and technologies provide a more efficient way of doing things.
Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. 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.
That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth. All of these factors challenge DevOps maturity. Teams need a technology boost to deal with managing cloud-native data volumes, such as using a data lakehouse for centralizing, managing, and analyzing data. What is DevOps maturity?
Today, organizations must adopt solid modernization strategies to stay competitive in the market. According to a recent IDC report , IT organizations need to create a modernization and rationalization plan that aligns with their overall digital transformation strategy. Crafting an application modernization strategy.
An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance. They can do so by establishing a solid FinOps strategy. FinOps, where finance meets DevOps, is a public cloud management philosophy that aims to control costs. What is AI observability?
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.
We’re proud to announce that Ally Financial has presented Dynatrace with its Ally Technology Velocity with Quality award. This is the second time Ally Financial has presented its Ally Technology Partner Awards. The post Dynatrace proud to receive the Ally Technology Velocity with Quality award appeared first on Dynatrace news.
The DevOps approach to developing software 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 developing software 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.
I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. This blog summarizes our great conversation for the posed questions.
The research, which surveyed 1,300 CIOs and technology leaders from large organizations worldwide, highlights the pressing need for a mature AI, analytics, and automation strategy to overcome the challenges posed by modern cloud environments.
Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. Learn more. What is IT automation? – blog What is IT automation?
Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Cloud technologies enable teams to deploy and release software more frequently.
In fact, according to the recent Dynatrace survey , “The state of AI 2024,” the majority of technology leaders (83%) say AI has become mandatory. However, most organizations are still in relatively uncharted territory with their AI adoption strategies. This means greater productivity for individual teams.
Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. But managing and securing these environments can be downright impossible without technology to identify and alert users to issues. DevOps and DevSecOps orchestration. Dynatrace news.
DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. How is it different from DevOps, and what’s next for the relationship between development, security, and operations within enterprises? What is DevSecOps?
That’s why traceability, scalability, and reliability are crucial aspects of a cloud strategy, and for this county, OpenShift and Dynatrace delivered on these needs. And joining the two together, the technology allowed the County to support this critical touchpoint between the county and their residents was proven in this critical moment.
IT, DevOps, and SRE teams seeking to know the health of their apps and services have always faced obstacles that can drain productivity, stifle collaboration, ratchet up the time to resolution, and limit the effectiveness of their collaboration with other parts of the business. Dynatrace news.
As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT.
AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. For many organizations, adopting new technologies can add to management and monitoring challenges, which can slow the pace of transformation. Maximum ROI on all hybrid cloud technologies. Aggregation.
By implementing these strategies, organizations can minimize the impact of potential failures and ensure a smoother transition for users. Blue/green deployments This strategy involves selecting a “blue” group to run the new software while the “green” group continues to run the previous version.
Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. Its approach to serverless computing has transformed DevOps.
Selecting the right tool plays an important role in managing your strategy correctly while ensuring optimal performance across all clusters or singularly monitored redistributions. Feedback Loops for Redis Server Deployment Feedback loops are important components of DevOps and Redis monitoring data can help improve deployment decisions.
Because open source software (OSS) is taking over the world, optimizing open source contributions is becoming an essential competitive strategy. In contributing to these projects, businesses and individuals can also stake a claim to the future direction of a particular product or field of technology. The same study estimates that $1.1
The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).
Many organizations realize their DevOps tools and practices do not sufficiently account for security. The goal of this strategy is to streamline the rollout of new software and avoid last-minute vulnerability fixes — or worse, releasing vulnerable software to real users. The security challenges of DevOps. Dynatrace news.
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.
How To Develop Your Business’ Technology Roadmap. How To Develop Your Business’ Technology Roadmap. At some point, though, we need to sit down with clients and give them a sometimes sobering reality: software development without a business technology roadmap can be a lot like driving aimlessly from point A to point Z.
Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. 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.
DevOps metrics and digital experience data are critical to this. Yet for the hospitality sector, the adoption of digital strategies has not been so obvious. Breaking down the silos between IT and operations to form a DevOps team, and then extending this to other departments to achieve BizDevOps, has been central to reaching this goal.
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. Digital transformation continues surging forward. But this task has become challenging. Don’t see the critical use case you’re looking for?
Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.
In this article, we explore recent survey data from Enterprise Strategy Group (ESG), sponsored by Dynatrace, on how organizations approach IT automation, as well as the benefits and challenges they encounter as they adopt it. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.
Developing applications based on modern architectures comes with a challenge for release automation: integrating delivery of many services with similar processes but often with different technologies and tools along the delivery pipelines. Dynatrace helps to orchestrate processes independently of DevOps tooling.
Adopting cloud-native technologies and open source software makes applications more feature rich and scalable, but it also increases IT complexity. As organizations adopt cloud-native and open source technologies, their environments become more flexible. However, these technologies can increase complexity.
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