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At the time when I was building the most innovative observability company, security seemed too distant. Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. Its time to adopt a unified observability and security approach.
In response, many organizations are adopting a FinOps strategy. For example, poorly written code can consume a lot of resources, or an application can make unnecessary calls to cloud services. Drive your FinOps strategy with Dynatrace In the simplest sense, FinOps is about optimizing and using cloud resources more efficiently.
Innovations on the horizon* Were very excited about our new Retain with Included Queries pricing, but we expect to deliver more updates. This pricing model is part of our plan to introduce new features that help customers align the right pricing strategies to their use cases.
It is also central to helping leaders develop best-practice strategies to attract and retain new customers. Faced with rising competition from digital-first providers, financial services and banking institutions are under pressure to deliver innovative products rapidly and securely. Where do financial services leaders go from here?
For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales. Dynatrace news.
As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.
Key takeaways from this article on vulnerability management for cloud application security: Today’s cloud apps with their fast innovation cycles and frequent use of open-source libraries must address a gap for runtime vulnerability management in production environments. Dynatrace news. How vulnerability management at runtime changes the game.
This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time. However, the drive to innovate faster and transition to cloud-native application architectures generates more than just complexity — it’s creating significant new risk.
As digital transformation accelerates, organizations turn to hybrid and multicloud architectures to innovate, grow, and reduce costs. Log4j is a ubiquitous bit of software code that appears in myriad consumer-facing products and services. But the complexity and scale of multicloud architecture invites new enterprise challenges.
The company did a postmortem on its monitoring strategy and realized it came up short. Not only does this mean we don’t waste time and resources firefighting, but it also means we’re able to operate much more efficiently, leaving us more time to focus on product innovation.”. Map out team practices to handle incidents.
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All team members of cross-talented teams need to have the same understanding of the company’s business-critical applications—from code-level visibility to insights into end-user experience. After identifying them, you may want to create a strategy for bringing all team members onto the same page. How to get started.
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).
According to recent research from TechTarget’s Enterprise Strategy Group (ESG), generative AI will change software development activities, from quality assurance to debugging to CI/CD pipeline configuration. For more in-depth analysis, read the ESG report, “ Code Transformed: Tracking the Impact of Generative AI on Application Development.”
They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.
Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. In order to unleash the innovation organizations need to evolve their SRE approaches. Over time, this creates a complex web of code that becomes more difficult to scale across the DevOps pipeline.
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. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.
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. With higher demand for innovation, IT teams are working diligently to release high-quality software faster. But this task has become challenging.
The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.
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.
Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. Accordingly, as organizations undergo DevSecOps transformation to innovate, reduce costs, and enable dispersed teams, they need to safeguard IT systems from performance problems and security breaches.
Because open source software (OSS) is taking over the world, optimizing open source contributions is becoming an essential competitive strategy. OSS is a faster, more collaborative, and more flexible way of driving software innovation than proprietary-only code. These projects provide a range of proven benefits.
Implementing a robust monitoring and observability strategy has become the foundation of an organization’s ability to improve business resiliency and stay in control of their critical IT environments. Each of these factors can present unique challenges individually or in combination.
A well-planned multi cloud strategy can seriously upgrade your business’s tech game, making you more agile. Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Thinking about going multi-cloud?
As part of this initiative, including migration-ready assessments, and to avoid potentially catastrophic security issues, companies must be able to confidently answer: What is our secure digital transformation strategy in the cloud? For decades, it had employed an on-premises infrastructure running internal and external facing services.
This increased efficiency applies to the most recent code committed to a repository to the final release and delivery of an application or service upgrade. Change failure rate is the percentage of DevOps code changes that lead to failure in production. The result is that development teams become proactive rather than reactive.
In fact, according to the recent Dynatrace survey, “ The state of AI 2024 ,” 95% of technology leaders are concerned that using generative AI to create code could result in data leakage and improper or illegal use of intellectual property. Despite this risk, organizations face mounting pressure to innovate faster and on a larger scale.
T he testing stage plays a crucial role in ensuring the quality of newly built code through the execution of automated test cases. Testing includes integration tests, which assess whether the code functions as intended when interacting with other services and application functionalities.
This intricate allocation strategy can be categorized into two main domains. 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. However, this is highly unlikely.
However, most organizations are still in relatively uncharted territory with their AI adoption strategies. DevOps teams , for example, can focus on driving innovation instead of grinding through manual jobs. To realize these benefits, organizations must get their AI strategy right.
Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. What is software analytics? Operations.
Innovate with Passion We build innovative solutions and creative approaches to our business across all functions to benefit our stakeholders. For this, we designed and kicked off a Values Adoption Strategy, which includes four steps—Awareness, Comprehension, Application, and Ownership. Stay tuned.
By using Cloud Adoption Framework best practices, organizations are better able to align their business and technical strategies to ensure success. One of the key monitoring strategies in the Cloud Adoption Framework is observability. This extended observability improves operations, reduces MTTR, and increases innovation.
It reveals the majority of organizations have adopted multicloud environments, cloud-native architectures, and open source code libraries to support efforts to deliver new digital solutions to customers. Layered financial services security strategies are not enough. The impact of open source code on runtime application security.
And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. Creating a sound IT automation strategy. So, what is IT automation? What is IT automation?
For many organizations, digital transformation has escalated from an important business strategy to an essential survival strategy. It even knows what’s happening at a transaction level, right down to the code. Dynatrace news. Digital transformation is accelerating.
Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. Further, software development in multicloud environments introduces multiple coding languages and third-party libraries. Dynatrace news.
An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster.
This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes.
But with this speed, agility, and innovation come new challenges. Open source code, for example, has generated new threat vectors for attackers to exploit. Considering open source software (OSS) libraries now account for more than 70% of most applications’ code base, this threat is not going anywhere anytime soon.
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If you stopped by our area at SpringOne, you might have caught up with us discussing and demonstrating technology strategies for adding monitoring and observability for to your Pivotal Platform in a simple and cohesive way. New components are auto instrumented on the fly, with no code change required, and capturing observability data is good.
Release validation is a critical DevOps practice to help ensure that code released into production is successful. But as more organizations adopt DevOps methodologies and release software faster, they are finding that they need a strategy to evolve and automate their release validation practices.
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