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At the time when I was building the most innovative observability company, security seemed too distant. I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security.
As cyberattacks continue to grow both in number and sophistication, government agencies are struggling to keep up with the ever-evolving threat landscape. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.
Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. The platform approach vs. the best-of-breed approach.
In January and February, we spoke with a couple of the top influencers in government technology, including Jamie Holcombe , Chief Information Officer at the United State Patent and Trademark Office [USPTO]; and Dimitris Perdikou , Head of Engineering at the UK Home Office, Migration and Borders.
How can you gain insights that drive innovation and reliability in AI initiatives without breaking the bank? Amazon Bedrock , equipped with Dynatrace Davis AI and LLM observability , gives you end-to-end insight into the Generative AI stack, from code-level visibility and performance metrics to GenAI-specific guardrails.
Recent congressional and administration efforts have jumpstart ed the US Federal Government’s digital transformation through e xecutive o rders ( for example, Cloud First , Cloud Smart ) and Congressional acts ( for example , the Modernizing Government Technology Act , and the Connected Government Act ).
Artificial Intelligence (AI) has the potential to transform industries and foster innovation. Tracking metrics like accuracy, precision, recall, and token consumption. Compliance and governance assurance Ensuring compliance with regulations and governance standards is crucial. It includes: Performance monitoring.
State and local agencies must spend taxpayer dollars efficiently while building a culture that supports innovation and productivity. The agencies resisted adopting the tool because it required significant time to configure and tune collected metrics into valuable information. Ready to hear more from a state government perspective?
On Episode 52 of the Tech Transforms podcast, Dimitris Perdikou, head of engineering at the UK Home Office , Migration and Borders, joins Carolyn Ford and Mark Senell to discuss the innovative undertakings of one of the largest and most successful cloud platforms in the UK. Make sure to stay connected with our social media pages.
Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft. Clouds also supports getting the necessary insights for cloud governance.
Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. The “three pillars of observability,” metrics, logs, and traces, still don’t tell the whole story. Manual troubleshooting is painful, hurts the business, and slows down innovation.
Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. Centralization brings all the critical metrics and logs into one place, providing a holistic perspective over your cloud environment.
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. Download report Already a Dynatrace customer?
This complexity can increase cybersecurity risk, introduce many points of failure, and increase the effort required for DORA governance and compliance. This can divert attention and resources from delivering better customer experience and innovation. Third-party risk management. Integration with existing processes.
AppEngine empowers organizations to tame cloud complexity, innovate faster and more securely, and ensure consistently better business results, thus delivering answers and driving collaboration across teams. Boundless possibilities You now have unlimited possibilities to address any use case you can imagine.
“To service citizens well, governments will need to be more integrated. William Eggers, Mike Turley, Government Trends 2020, Deloitte Insights, 2019. federal government, IT and program leaders must find a better way to manage their software delivery organizations to improve decision-making where it matters. billion hours.
Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. EKS integrates with AWS Fargate using controllers that run on the managed Amazon EKS control plane, which governs container orchestration and scheduling.
But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “Second, we wanted to improve our rollout of the DevSecOps capability, as well as improve our agility and our ability to innovate faster.” “We have a rich metric expression language.
Digital transformation has significantly increased the organizational demand to innovate faster. As a result, organizations are investing in DevOps automation to meet the need for faster, more reliable innovation. These metrics can serve as a framework for other organizations looking to create their own automation models.
With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes. “Dynatrace is enterprise-ready, including automated deployment and support for the latest cloud-native architectures with role-based governance,” Nalezi?ski
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Tech Transforms podcast: It’s time to get familiar with generative AI – podcast On the Tech Transforms podcast, sponsored by Dynatrace, we talk to some of the most prominent influencers shaping critical government technology decisions. What is artificial intelligence? So, what is artificial intelligence? So, what is artificial intelligence?
In 2022, we released 33 episodes covering a multitude of topics — from privacy issues to zero trust initiatives to American innovation — that sit at the intersection of technology, government, and human needs. Jennifer Ewbank, Deputy Director for Digital Innovation at Central Intelligence Agency. Postal Service.
However, they treat continuous improvement and digital innovation like interest, recognizing that it’s a compounding game. However, if you accelerate your software delivery via these investments, even in small increments, those benefits compound over time and lead to the large chasm between innovative companies and others (Chart 2b).
More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. Therefore, IT teams need an in-depth understanding of security, governance, and end-user requirements of all environments—both public and private. Governance of standardized processes.
The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. New cloud-native technologies make observability more important than ever….
Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. The whole organization benefits from consistency and governance across teams, projects, and throughout all stages of the development process.
While I'll be talking primarily about corporations in this blog post, I should clarify up front that my view is that all of our institutions - governments, schools, NGO's, etc. Performance metrics: Shift from financial results to addressing unmet needs. Diving deeper into learning So, what does scalable learning imply?
Beyond supporting technology, retailers will need to change how teams work together and balance the democratization of data with appropriate governance. However, these metrics are short-term and often channel-specific, which no longer reflects how consumers interact with organizations across touchpoints and over time.
Easing the transition to self-governance Although pricing ingest, retain, and query align with the cloud spend model and thus customer success, it can be challenging to adopt initially. DQL offers many options for analyzing logs, such as extracting metrics from historical data and charting or visualizing them.
To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Limited observability. Cultural shift.
To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Dynatrace news. Limited observability. Cultural shift.
Niosha Behnam | Demand Engineering @ Netflix At Netflix we prioritize innovation and velocity in pursuit of the best experience for our 150+ million global customers. Unfortunately, due to the diversity of services, a mix of Java ( Governator /Springboot with Ribbon /gRPC, etc.)
Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Yet it reveals a migration trajectory favoring multi-cloud models as companies wake up to advantages such as heightened innovation potential tied with these varied service structures.
This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.
Page Simulation for Better Offline Metrics at Netflix by David Gevorkyan , Mehmet Yilmaz , Ajinkya More , Gaurav Agrawal , Richard Wellington , Vivek Kaushal , Prasanna Padmanabhan , Justin Basilico At Netflix, we spend a lot of effort to make it easy for our members to find content they will love.
Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. We’ll see more innovation if emerging AI tools are accessible to everyone, such that a dispersed ecosystem of new firms, start-ups, and AI tools can arise. But not all rents are bad.
However, they treat continuous improvement and digital innovation like interest, recognizing that it’s a compounding game. However, if you accelerate your software delivery via these investments, even in small increments, those benefits compound over time and lead to the large chasm between innovative companies and others (Chart 2b).
With these collaborative and exploratory analytics capabilities, teams can understand, share, and act on the insights derived from their data to optimize cloud operations, enhance application security, and accelerate the delivery of new innovations. It also creates data privacy, security, and governance issues.
I wouldn’t be surprised to find out that DeepSeeks low inference cost was subsidized by the Chinese government. I fear that OpenAI, Oracle, and the US government want to build the former, when we really need more of the latter. When AI becomes a commodity, it decouples real innovation from capital. Invencions Off Kilter.
In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). Government: PostgreSQL is used in government and public sector activities such as voter registration, public records management, and administrative databases.
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An online investment firm discovering a system bottleneck impeding digital channel innovation , t he remarkable success that organizations are witnessing with flow-based value stream metrics provides an exciting glimpse of what’s possible. Discover “Eureka!”
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