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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.
As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality.
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.
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?
At Dynatrace, we’ve been exploring the many ways of using GPTs to accelerate our innovation on behalf of our customers and the productivity of our teams. ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential.
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. When they check in their code, the build management system automatically creates a build and tests it.
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 is focused on optimizing software development and delivery, and SRE is focused on operations processes. DevOps as a philosophy. SRE vs DevOps?
DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. Automation thus contributes to accelerated productivity and innovation across the organization. What deployment strategies does your organization use?
DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. What is DevOps? As DevOps pioneer Patrick Debois first described it in 2009, DevOps is not a specific technology, but a tactical approach.
At the time when I was building the most innovative observability company, security seemed too distant. Runtime Security integrates seamlessly with static code analyzers, container scanners, and application security testing tools. For example, for companies with over 1,000 DevOps engineers, the potential savings are between $3.4
With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. Dynatrace truly helps us do more with less.
Faced with rising competition from digital-first providers, financial services and banking institutions are under pressure to deliver innovative products rapidly and securely. The growing demand for rapid innovation is worsened by the ongoing skills shortages. This puts sensitive customer and transactional information at risk.
Check out these testing trends! The software development landscape continues to evolve with DevOps and Agile development methods taking over traditional approaches. The advent of these methods has led to the innovation and use of new testing techniques.
When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. The goal is to accelerate innovation by eliminating the need for custom automation scripts and point-to-point tool integrations. Dynatrace news.
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.”
Over the last year we’ve seen more and more Dynatrace customers move from DevOps to NoOps. These organizations have built automation into their DevOps environments to a degree that there is no longer a need for a traditional Ops team to manage software in-house. Neotys, JMeter, or LoadRunner for load testing. Dynatrace news.
SRE is becoming an essential discipline in organizations that use DevOps (the combination of development and operations) and agile methodologies. In order to unleash the innovation organizations need to evolve their SRE approaches. SRE adoption is growing, yet gaps remain. MTTR reduction remains top of the list for SREs.
My post Good Times for Load Testing was published in 2014. It is difficult to believe that 5 years passed… Are times still good for load testing? If we speak about commercial load testing tools, we see rather a shrinking market and not too much innovation recently. Well, yes and no. Open Source.
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).
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 software development lifecycle (SDLC) has proven difficult.
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?
This improves the current project and paves the way for future innovation. This empowers them to spearhead innovations that ensure the business is prepared for future expansions. A few avenues for elevating CI/CD pipelines are: Enhancing the extent of automated test coverage during the testing phase.
As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Dynatrace news. This is fueling key DevSecOps trends in 2022. Weighing MLOps vs. AIOps.
Ideally, QA teams use production data for better test definitions (based on real use cases) and better workload modeling for load testing (based on real-world load behavior). Organizations that don’t look at production data may test the wrong things and simulate the wrong performance tests. This is good news.
Having laid the foundation during the deployment stage, we’ll now explore the benefits of Dynatrace visibility and orchestration during the testing phase. T he testing stage plays a crucial role in ensuring the quality of newly built code through the execution of automated test cases.
Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Easier to test. Challenging during build, test, and release cycles.
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. It is also a vital data collection mechanism for regression testing against subsequent releases.
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. Ready to create your first release validation automation?
Navigate digital infrastructure complexity In today’s rapidly evolving digital environment, organizations face increasing pressure from customers and competitors to deliver faster, more secure innovations. Such preemptive testing significantly reduces potential downtime and mitigates performance degradation.
.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.
In the last several years, I’ve led many sessions on DevOps, NoOps, Continuous Delivery, Continuous Performance, Shift-Left, Self-Healing, and GitOps. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance.
For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration. Learn how security improves DevOps.
Software industry IT leaders face constant pressure to deliver innovation faster to stay ahead of their competition. End users can easily change providers if they fail to receive the immersive and innovative experiences they expect. In a highly connected world, bad news travels fast. This is worsened by ongoing skills shortages.
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. After merging, a CI/CD pipeline builds, tests, and deploys the application. Dynatrace news.
Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). DevOps: Applying AIOps to development environments. CloudOps: Applying AIOps to multicloud operations.
.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.
The pace of innovation is so fast that CIOs find it challenging to keep up while maintaining the reliability and security of omnichannel innovation. Retail IT leaders must find ways to empower their teams to innovate faster without sacrificing software quality and security.
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.
With this critical information in one centralized interface, all teams within the software development lifecycle will be able to operate from a single source of truth so they can resolve issues faster and focus on innovations. GKE Autopilot and beyond. How AI Solves the Kubernetes Complexity Conundrum. Need help getting started?
Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. Autonomous testing. As teams develop software more quickly, they can’t rely on manual methods to test applications. Chaos engineering.
Many organizations are turning to generative artificial intelligence and automation to free developers from manual, mundane tasks to focus on more business-critical initiatives and innovation projects. On the whole, survey respondents view AI as a way to accelerate software development and to improve software quality.
But with this speed, agility, and innovation come new challenges. Today, organizations can move faster and innovate more easily through software development. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. Learn how security improves DevOps.
Other benefits include faster software innovation, continuously improved user experiences, and increased operational efficiency, achieved with automatic and intelligent observability. We build it into pipelines and test automation, and that automation gets us to a position where our services auto-heal.” – Head of Tech, Healthcare.
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