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The rapid evolution of cloud technology continues to shape how businesses operate and compete. These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services.
Dynatrace partners with Texas state institutions Dynatrace partners with public sector agencies in the US and globally to ensure that essential government and educational institutions deliver resilient, efficient, and secure services.
The Hong Kong Monetary Authority (HKMA)’s Operational Resilience Framework provides guidance for Authorized Institutions (AIs) to ensure the continuity of critical operations during disruptions: governance, risk management, business continuity planning, and oversight of third-party dependencies.
Today, citizens are no longer passive recipients of government services, but rather active participants in a digital age. From mobile applications to websites, government services must be accessible, available, and performant for those who rely on them. Specifically, organizations often run into problems after they digitally transform.
Government agencies rely on public trust to successfully achieve their initiatives. In what follows, we discuss how state and local government leaders can harness and improve digital experiences to address these challenges, navigate their cloud transformation journeys, and build constituents’ trust.
NASCIO released its annual State CIO Top 10 Priorities for 2023 recently, and it’s no surprise cybersecurity topped the list, followed by digital government and digital services. Recognizing the need to satisfy citizens as their demands change, government agencies are prioritizing digital services, leading them to embrace new technologies.
As cyberattacks continue to grow both in number and sophistication, government agencies are struggling to keep up with the ever-evolving threat landscape. However, emerging technologies such as artificial intelligence (AI) and observability are proving instrumental in addressing this issue. First, let’s discuss observability.
But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. The post DevSecOps: Recent experiences in field of Federal & Government appeared first on Dynatrace blog. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.
As 2023 shifts into the rearview mirror, technology and business leaders are preparing their organizations for the upcoming year. And industry watchers have begun to make their technology predictions for 2024. Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation.
This nuanced integration of data and technology empowers us to offer bespoke content recommendations. This dual-path approach leverages Kafkas capability for low-latency streaming and Icebergs efficient management of large-scale, immutable datasets, ensuring both real-time responsiveness and comprehensive historical data availability.
But this has led many agencies to fall behind from a technology standpoint. . Upon this backdrop, Dynatrace has just received its FedRAMP moderate impact level authorization , which is available for our f ederal customers through our new Dynatrace for Government offering. . About Dynatrace for Government : .
A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. .
National Institute of Standards and Technology (NIST), validates the cryptography in technology solutions used by government agencies has met strict data security, confidentiality, and dependability standards. government procurement mandates that all solutions that use cryptography must meet the FIPS 140-2 standard.
State and local agencies must spend taxpayer dollars efficiently while building a culture that supports innovation and productivity. million annually through retiring legacy technology debt and tool rationalization. APM helps ensure that citizens experience strong application reliability and performance efficiency.
The adoption of cloud computing in the federal government will accelerate in a meaningful way over the next 12 to 18 months, increasing the importance of cloud monitoring. Modernization priorities lie with advanced analytics and technologies. Being able to safely monitor the cloud will be paramount moving forward.
Some of their greatest challenges include digitizing citizen experience, reimagining the government workforce, and legacy modernization, among others. The survey found that individuals who are pleased with a state government’s digital services tend to rate the state highly in measures of overall trust.
Is artificial intelligence (AI) here to steal government employees’ jobs? Furthermore, AI can significantly boost productivity if employees are properly trained on how to use the technology correctly. “It’s It’s great to put new technology on the table,” said Johnson. Can embracing AI really make life easier?
While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. A data lakehouse, therefore, enables organizations to get the best of both worlds.
VA is estimated to migrate 350 applications hosted on-premises and in external data centers to the VA Enterprise Cloud by 2024, making this one of the most ambitious digital transformations in the federal government. It comes down to getting the best value out of your systems as well as your people,” Hicks says.
Organizations across industries are embracing generative AI, a technology that promises faster development and increased productivity. AI for effective DevSecOps AI itself has become an indispensable technology for organizations that must deliver safe and secure online services. Learn more in this blog.
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. The tool calculates a separate DevOps maturity level for each of the four individual sections (governance, development & delivery, operations, and security).
As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. Adopting an SRE approach also requires that teams standardize the technologies and tools they use. SRE requires a cultural change.
The 5 pillars of DORA ICT Risk Management : Financial entities must effectively manage risks related to their information and communication technology (ICT) systems. This complexity increases cybersecurity risks and complicates governance. This includes identifying, assessing, and mitigating risks to maintain operational resilience.
Artificial Intelligence (AI) is a complex, rapidly growing technology. In a recent FedScoop panel Brett Vaughn, Navy Chief AI Officer, and Willie Hicks, Federal CTO for Dynatrace discuss this up-and-coming technology including: Their definition of AI. How to adopt AI quickly and efficiently to keep up in the “AI arms race”.
This complexity can increase cybersecurity risk, introduce many points of failure, and increase the effort required for DORA governance and compliance. Implementing and maintaining DORA compliance can be resource-intensive, requiring skilled personnel, advanced technologies, and ongoing investment. Third-party risk management.
In May 2022, the Tech Transforms podcast explored the cybersecurity threat landscape, observability, DevOps, and remote work through our conversations with the following top influencers in governmenttechnology: Richard Ford – Chief Technology Officer at Praetorian. Mike Maciag – Chief Marketing Officer at Dynatrace.
DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations.
As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. Adopting an SRE approach also requires that teams standardize the technologies and tools they use. SRE requires a cultural change.
As cloud-native, distributed architectures proliferate, the need for DevOps technologies and DevOps platform engineers has increased as well. It coincides with the advent of complex, distributed cloud technologies such as microservices and containers. DevOps engineer tools can help ease the pressure as environment complexity grows.
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. They offer unmatched flexibility and scalability to meet the fluctuating demands of the market.
Both development and security teams require information that spans the software development lifecycle to work efficiently on closing gaps and blindspots in security coverage that could lead to a container reaching production unscanned, or with production vulnerabilities in the form of increased cyber-attack risk.
In addition to improved IT operational efficiency at a lower cost, ITOA also enhances digital experience monitoring for increased customer engagement and satisfaction. Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Apache Spark.
From new standards for automation and security convergence to redefining sustainability in IT, these shifts represent not just technological advancements but paradigm changes in how organizations operate, innovate, and compete. For example, a global retailer could leverage observability to track energy efficiency across its data centers.
The pandemic has transformed how government agencies such as Health and Human Services (HHS) operate. Generally, older technologies were not built to meet current expectations, are inefficient, difficult to maintain, and costlier to support long-term. IT modernization can help.
“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.
The increasing complexity of cloud-native technologies has placed unprecedented pressure on DevOps teams. In addition to rising IT costs and a turbulent economy, DevOps automation has shifted from an efficiency drive to a strategic imperative for organizations looking to keep up with the pace of today’s technological landscape.
As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.
The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.
Today, organizations face unprecedented challenges, including COVID-19 recovery, economic uncertainty, and technological disruption. As organizations continue to operate in the cloud, open technologies become critical. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia.
The regulation comprehensively addresses Information Communication Technology (ICT) risk management, harmonizing cybersecurity guidelines across the financial sector while considering the ever-evolving threat landscape. The following are some key governance requirements relevant for application security: Assessing third-party provider risk.
But DIY projects require extensive planning and careful consideration, including choosing the right technology stack, outlining the application’s framework, selecting a design system for the user interface, and ensuring everything is secure, compliant, and scalable to meet the requirements of large enterprises.
As DevSecOps practices gather steam in 2022, there are several concurrent technology trends that will likely further DevSecOps adoption. According to a Gartner report, “By 2023, 60% of organizations will use infrastructure automation tools as part of their DevOps toolchains, improving application deployment efficiency by 25%.”.
In attempting to address this difficult workforce challenge, chief information security officers (CISOs) are considering automation and artificial intelligence (AI) defense tools as a cost-effective, highly efficient option. By implementing the technologies, team members will be able to focus more on strategic efforts.
federal government and the IT security industry to raise awareness of the importance of cybersecurity throughout the world. Owning the responsibility and effort to build good cyber security practices now will improve your DevSecOps team’s overall productivity and efficiency in the future. What does that mean?
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