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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.
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.
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.
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.
Digital transformation strategies are fundamentally changing how organizations operate and deliver value to customers. Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Improved customer experience. Competitive advantage.
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.
In today's fast-paced digital landscape, organizations are increasingly embracing multi-cloud environments and cloud-native architectures to drive innovation and deliver seamless customer experiences.
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. The post Panel Recap: How is your performance and reliability strategy aligned with your customer experience?
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. DevOps metrics and digital experience data are critical to this.
Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Modern cloud-native environments rely heavily on microservices architectures.
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? Environmental forces.
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. Dynatrace news. Improving cross-team collaboration improves cloud-native success.
To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. Organizations are also increasingly integrating application security into their DevOps teams and processes — also known as DevSecOps.
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.
Release validation is a critical DevOps practice to help ensure that code released into production is successful. DevOps practices have become key for organizations looking to scale, stay competitive, and keep up with customer demand. What is release validation? Automating release validation.
Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. SRE is becoming an essential discipline in organizations that use DevOps (the combination of development and operations) and agile methodologies. Dynatrace news.
Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind.
Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.
Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. DevOps/DevSecOps with AWS. Dynatrace news.
And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? IT automation, DevOps, and DevSecOps go together. Creating a sound IT automation strategy. Additionally, a sound IT automation strategy includes AIOps at its core. So, what is IT automation?
Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. This public cloud management discipline provides IT, DevOps , CloudOps, finance, and business teams with continuous cost optimization tools and accurate accounting of cloud resources. That’s where FinOps can help.
Automate DevOps pipelines to create better software faster to free up critical DevOps and IT time for new initiatives and innovation. Consider how AI-enabled chatbots such as ChatGPT and Google Bard help DevOps teams write code snippets or resolve problems in custom code without time-consuming human intervention.
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. Dynatrace news.
Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.
This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service . 1 Performance-as-a-self-service at Pay P al .
In the past, monolith architectures could only be implemented with big bang deployments which result in a slow pace of innovation and significant downtime. The goal of introducing these elements is to help you understand how can these strategies can be implemented, as well as their specific strengths and drawbacks for different use cases.
With its widespread use in modern application architectures, understanding the ins and outs of Redis monitoring is essential for any tech professional. Selecting the right tool plays an important role in managing your strategy correctly while ensuring optimal performance across all clusters or singularly monitored redistributions.
As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Why deterministic AIOps is essential for DevOps — and beyond. For more information about developing an AIOps strategy for cloud observability and how Dynatrace can help, read our eBook.
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. Dynatrace news. Jones identified two types of complexity: Accidental complexity.
Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.
Dynatrace enables various teams, such as developers, threat hunters, business analysts, and DevOps, to effortlessly consume advanced log insights within a single platform. DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks.
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. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.
Gone are the days for Christian manually looking at dashboards and metrics after a new build got deployed into a testing or acceptance environment: Integrating Keptn into your existing DevOps tools such as GitLab is just a matter of an API call. Automate Performance aka Performance as a Self-Service: Watch SRE-Driven Performance Engineering.
Cumbersome legacy IT architecture is giving way to modern multicloud architectures where technologies, data, and processes converge to enable innovation. This automatic system analysis provides continuous intelligence to IT operations, DevOps, and site reliability engineering (SRE) teams. Think’ with artificial intelligence.
Modern observability and vulnerability management gave Avisi the secure digital transformation strategy they needed to conquer Log4Shell. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. Learn how security improves DevOps. DevOps vs. DevSecOps – blog.
How observability, application security, and AI enhance DevOps and platform engineering maturity – blog Observability and AI can help ensure the reliability, security, and efficiency of DevOps and platform engineering. The following resources explore the ways in which AI makes DevSecOps more effective. Learn more in this blog.
With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Selecting the right tool plays an important role in managing your strategy correctly while ensuring optimal performance across all clusters or singularly monitored redistributions.
Pitometer is used to validate a deployment after it was successfully tested based on the defined testing strategy. Bamboo, Azure DevOps, AWS CodePipeline …. Beyond basic metrics: Detecting Architectural Regressions. Use this to detect any architectural regressions introduced through code or config changes.
Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Learn how security improves DevOps. DevOps vs DevSecOps: Why integrate security and DevOps? What is DevSecOps?
Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Successful DevOps teams have figured out that “delivering more with less” requires careful management of release risks and automation to scale. SLO validation – ?Automatically Topics in this blog series.
So, we jumped on that need to transform our own development and product monitoring strategy in order to embrace these new environments and maintain and expand the company’s market leadership. Cloud native” is not just architecture; it also means bringing cloud-centric best practices to software and IT generally.
There will be a growing focus on solutions that enable teams to mature their DevOps and BizDevOps-centric strategies into a more holistic SecDevBizOps approach, combining security, development, and IT practices with business analytics.
The Dynatrace platform is a key part of our strategy where teams across the whole organization are leveraging Dynatrace® for end-to-end visibility across our entire technology stack and automating across our software development lifecycle (SDLC). Faster time to value.
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