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Here are five strategies executives can pursue to reduce tool sprawl, lower costs, and increase operational efficiency. Unify tools to eliminate redundancies, rein in costs, and ease compliance : This not only lowers the total cost of ownership but also simplifies regulatory audits and improves software quality and security.
And it enables executives to have unprecedented insight into how user experiences, applications and underlying infrastructure health can power their business. For BT, simplifying their observability strategy led to faster issue resolution and reduced costs. It empowers teams to act proactively rather than reactively.
Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. Configuration and Compliance , adding the configuration layer security to both applications and infrastructure and connecting it to compliance.
That’s where hyperconverged infrastructure, or HCI, comes in. What is hyperconverged infrastructure? Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management.
Membership in MISA is nomination-only and reserved for independent software vendors who develop security solutions that effectively integrate with MISA-qualifying Microsoft Security products. Explore our interactive product tour , or contact us to discuss how Dynatrace and Microsoft Sentinel can elevate your security strategy.
As recent events have demonstrated, major software outages are an ever-present threat in our increasingly digital world. From business operations to personal communication, the reliance on software and cloud infrastructure is only increasing. Outages can disrupt services, cause financial losses, and damage brand reputations.
Today, organizations must adopt solid modernization strategies to stay competitive in the market. According to a recent IDC report , IT organizations need to create a modernization and rationalization plan that aligns with their overall digital transformation strategy. Crafting an application modernization strategy.
The average deployment now spans 20 clusters running 10 or more software elements across clouds and data centers. In fact, 76% of technology leaders say the dynamic nature of Kubernetes makes it more difficult to maintain visibility of their infrastructure compared with traditional technology stacks.
Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.
However, this category requires near-immediate access to the current count at low latencies, all while keeping infrastructure costs to a minimum. Eventually Consistent : This category needs accurate and durable counts, and is willing to tolerate a slight delay in accuracy and a slightly higher infrastructure cost as a trade-off.
On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. Data often lacks context, hampering attempts to analyze full-stack, dependent services, across domains, throughout software lifecycles, and so on.
In today’s digital world, software is everywhere. Software is behind most of our human and business interactions. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. What is software automation? What is software analytics?
Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.
As a result, organizations are adopting cloud observability technologies to gain visibility into their IT environments and the associated application performance and software vulnerability issues. Log4j is a ubiquitous bit of software code that appears in myriad consumer-facing products and services.
In this preview video for Dynatrace Perform 2022, I talk to Ajay Gandhi, VP of product marketing at Dynatrace, about how adding a vulnerability management strategy to your DevSecOps practices can be key to handling threats posed by vulnerabilities. ?. ” Observability is the game-changer. For our complete?
IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years. What is infrastructure monitoring? . Dynatrace news.
These investments will go to operational improvements, such as back-office support and core infrastructure enhancements for accounting and finance, human resources, legal, security and risk, and enterprise IT. Similarly, if a digital transformation strategy embraces digitization but processes remain manual, an organization will fail.
Today’s organizations are constantly enhancing their systems and services as new opportunities arise, inspiring new forms of collaboration while relying on open ecosystems and open source software. Open source software is an example of the value created in an open ecosystem. Fortunately, open source software can help with this.
Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.
I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. In continuous delivery, software is broken into smaller components and each build should be validated.
With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.
Software should forward innovation and drive better business outcomes. But legacy, custom software can often prevent systems from working together, ultimately hindering growth. Fed up with the technical debt of traditional platform approaches, IT teams often embrace best-of-breed software-as-a-service solutions.
Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. So, which cloud infrastructure is right for you? 2019 Top Databases Used.
Breaking down the advantages of a unified observability platform With the Dynatrace unified observability platform, Australian government agencies can: Gain real-time visibility into the performance and availability of infrastructure and applications. Deliver high-quality, cloud-native applications to accelerate innovation.
trillion this year 1 , more than two-thirds of the adult population now relying on digital payments 2 for financial transactions, and more than 400 million terabytes of data being created each day 3 , it’s abundantly clear that the world now runs on software. With global e-commerce spending projected to reach $6.3
Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. Security teams can identify vulnerabilities and automate remediation.
In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed.
Therefore, these organizations need an in-depth strategy for handling data that AI models ingest, so teams can build AI platforms with security in mind. Whether multicloud or hybrid , public or private, cloud-native architecture offers flexibility and agility to help organizations deliver software faster.
An approach based on observability , automation, and AI, on the other hand, enables you to know precisely what is happening within your environment based on contextualized insights derived from billions of interdependencies among apps, services, and infrastructure. Myth 1 – Enterprise-scale observability is too difficult to accomplish.
IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructurestrategy.
High monitoring costs and limited visibility drive the need for innovation Ally Financial uses AI-powered observability for monitoring and automating its technology stack, from its cloud and on-premises infrastructure to its applications and customer digital experiences. This resulted in significant savings and much faster ROI.
Advanced observability can eliminate blind spots surrounding application performance, health, and behavior for these critical applications and the infrastructure that supports them. Infrastructure monitoring automatically analyzes key health metrics and discovers performance problems caused by infrastructure bottlenecks or changes.
Now, organizations are evolving their cloud strategy to include hybrid, multi-cloud, which enables cloud-native application development and deployment. Azure shines when it comes to building and running your software with speed and agility, empowering developers to build productively and innovate faster.
OpenShift and Kubernetes simplify access to underlying infrastructure and help manage the application lifecycle and development workflows. The concept of automation has become part of organizations’ overall digital transformation strategy for cloud-native environments. OpenShift automation. Why is automation so important?
According to the Dynatrace “2022 Global CIO Report,” 79% of large organizations use multicloud infrastructure. And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. Rural lifestyle retail giant Tractor Supply Co.
However, as Forrester analyst Will McKeon-White outlines in the report, “Digital Experience Is Part Of Your Job,” it’s imperative for business users to collaborate with infrastructure and operations (I&O) in order to derive key insights and realize the full potential of a DX strategy. [i].
And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. Creating a sound IT automation strategy. So, what is IT automation?
The directive mandates operators of critical infrastructure and essential services to implement appropriate security measures and promptly report any incidents to the relevant authorities and affected parties. Application security must inform any robust NIS2 compliance strategy. What types of incidents must be reported?
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?
Companies can choose whatever combination of infrastructure, platforms, and software will help them best achieve continuous integration and continuous delivery (CI/CD) of new apps and services while simultaneously baking in security measures. Development teams create and iterate on new software applications. Development.
To address these challenges, organizations are adopting cloud-first strategies and cloud-native application development practices. These cloud initiatives also allow DevOps teams to release software more frequently without sacrificing quality. Cloud technologies enable teams to deploy and release software more frequently.
If you work in software development, SRE, or DevOps, you’ve likely heard the terms observability, telemetry, and tracing. These concepts are crucial for understanding how applications behave in production environments, and they’re an essential part of modern software development practices. What is OpenTelemetry?
Dynatrace, as the leading software intelligence platform ( Gartner Magic Quadrant ), has been known for many years for its unique auto-adaptive, multidimensional baselining in the APM space. Auto-adaptive baselines are a great monitoring strategy for triggering the Davis AI to provide deep root-cause analysis.
In an era dominated by automated, code-driven software deployments through Kubernetes and cloud services, human operators simply can’t keep up without intelligent observability and root cause analysis tools. This approach ensures that your operation teams have all the tools they need to manage modern software deployments.
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