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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. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost.
Scalable Video Technology (SVT) is Intel’s opensource framework that provides high-performance software video encoding libraries for developers of visual cloud technologies. The encoder can typically be improved years after the standard has been frozen including varying speed and quality trade-offs. What is SVT-AV1?
SVT-AV1: open-source AV1 encoder and decoder by Andrey Norkin , Joel Sole , Mariana Afonso , Kyle Swanson, Agata Opalach , Anush Moorthy , Anne Aaron SVT-AV1 is an open-source AV1 codec implementation hosted on GitHub [link] under a BSD + patent license.
Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. To address this, state and local governments are adopting multicloud environments to achieve the necessary speed, scale, and agility to keep up with faster digital transformation.
Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. High performance, query optimization, opensource and polymorphic data storage are the major Greenplum advantages. OpenSource. Major Use Cases.
Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. Message brokers handle validation, routing, storage, and delivery, ensuring efficient and reliable communication. This allows Kafka clusters to handle high-throughput workloads efficiently.
The use of opensource databases has increased steadily in recent years. Past trepidation — about perceived vulnerabilities and performance issues — has faded as decision makers realize what an “opensource database” really is and what it offers. What is an opensource database?
In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.
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. GitOps improves speed and scalability. What is GitOps?
In our increasingly digital world, the speed of innovation is key to business success. Opensource has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and opensource require a radically different approach to application security.
An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?
Today’s cloud-native applications are predominately built from open-source components, or packages, strung together with a small amount of custom code. Gartner cites research that indicates more than 70% of applications contain flaws resulting from embedded open-source software.
Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. In this context, Dynatrace is an integral component of a centralized Kubernetes management console, contributing to enhanced observability, efficient cluster management, and robust alerting.
Application developers commonly leverage open-source software when building containerized applications. In fact, the market research firm Forrester says that the average container image is comprised of 70% open-source software.[1] 1] And unfortunately, open-source software is often fraught with security vulnerabilities.
by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.
OpenTelemetry is an opensource standard for gathering observability signals, including metrics, traces, and logs. Dynatrace helps enterprises overcome this obstacle with a single AI-powered observability platform to instantly deliver answers incorporating all telemetry data. .
As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. In fact, according to a Forrester Consulting report , implementing an AIOps approach that provides proactive visibility helped companies improve operational efficiency and reduce false-positive alerts by 95%.
This high level of abstraction is provided by industry-grade, opensource stream processing frameworks such as Kafka Streams , Apache Flink , and Spark Structured Streaming. Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume.
This decoupling ensures the openness of data and storage formats, while also preserving data in context. Further, it builds a rich analytics layer powered by Dynatrace causational artificial intelligence, Davis® AI, and creates a query engine that offers insights at unmatched speed. Ingest and process with Grail.
Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. The challenge? Getting adequate insight into an increasingly complex and dynamic landscape. Why ITOps needs to work smarter, not harder.
DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. This shift is critical to support the ever-accelerating development speeds that both customers and stakeholders demand. Dynatrace news.
In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Mining and public transportation organizations commonly rely on IoT to monitor vehicle status and performance and ensure fuel efficiency and operational safety.
While GKE has been popular since its inception by making computing more efficient and advancing container orchestration – running and administration still require some hands-on work, for example in managing worker nodes. Hands-free fully managed Kubernetes.
Today’s competitive world demands “ Quality at Speed with minimal costs. ”. Open-source software development has grown increasingly popular over the last two decades. They are leveraging open-source testing tools that are reliable, secure, and free to use. EXCITING NEWS – TESTSIGMA IS NOW OPEN-SOURCE!
As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. That’s because every company is now a software company. Don’t reinvent the wheel.
Improving your team’s Commit Cycle Time means relying on efficient testing and soliciting feedback as quickly as possible. If you want all this in one tool, we’d recommend our very own Keptn , an opensource enterprise-grade control plane for cloud-native continuous delivery and automated operations. How to get started?
As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. This includes everything from multicloud deployments to microservices to Kubernetes instances and the use of opensource software. According to recent global research, CISOs’ security concerns are multiplying.
RISELabs , those wonderfully innovative folks over at Berkeley, have uplifted their Anna datatabase —a shared-nothing, thread-per-core architecture to achieve lightning-fast speeds by avoiding all coordination mechanisms—to become cloud-aware. Our experiments show an impressive level of both performance and cost efficiency.
As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.
Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Full-stack observability helps DevOps teams quickly identify potential issues in the CI/CD pipeline , fixing problems with greater speed and confidence.
As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Therefore, DevOps teams can better control application performance, so applications can start faster and run more efficiently. Consider the following: Teams want service speed. Teams want efficiency.
But without intelligent automation, they’re running into siloed processes and reduced efficiency. Leveraging opensource code and traditional monitoring tools can also increase the risk for vulnerabilities to enter the SDLC. Two factors play a role in this challenge: specificity and speed.
As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.
Many organizations already employ DevOps, an approach to developing software that combines development and operations in a continuous cycle to build, test, release, and refine software in an efficient feedback loop. For DevOps, automation streamlines design, testing, and deployment processes and increases the speed of application development.
” While broader business deployment stems from increasingly sophisticated AI algorithms and the growing speed at which they’re able to discover new data relationships, it’s also a recognition of a new IT reality: AIOps is here to stay and improving quickly. What are the benefits of AIOps tools?
A set of programming models has emerged to help developers define and train AI models with deep learning; along with opensource frameworks that put deep learning in the hands of mere mortals. The efficiency by which a deep learning framework scales out across multiple cores is one of its defining features. Scaling MXNet.
For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. However, that assumes he or she is available and has time to talk. Queued messages are typically small and specific.
For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. However, that assumes he or she is available and has time to talk. Queued messages are typically small and specific.
Performance efficiency. Performance Efficiency. With the Performance Efficiency pillar of the Azure Well-Architected Framework, organizations must ensure the workloads they modernize and migrate to the cloud are able to scale to meet changes in demand and usage over time. Operational excellence. Reliability.
Today, the speed of software development has become a key business differentiator, but collaboration, continuous improvement, and automation are even more critical to providing unprecedented customer value. Dynatrace’s version awareness allows you to stay in control despite speeding up application delivery.
Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. This is so they see all the things they are used to from opensource tools from other solutions, and from kubectl right within Dynatrace.
In addition, as businesses of all kinds adopt cloud-native and opensource technologies, their environments become more flexible. Above all, companies modernize and adopt a multicloud strategy to innovate, scale, and increase efficiency. However, these technologies can add to the complexity.
As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. In most cases, especially with more complex queries, Grail gives you answers at five to 100 times more speed than any other database you can use right now.”
Organizations are also finding that these security tools are not up to par with the increasing speed of software delivery. Moreover, development teams are increasingly using third-party opensource code to boost their productivity. DevSecOps automation promotes efficient processes and secure applications.
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