Monitoring software is in the base of a company’s IT stack. Without monitoring, organizations are blind to factors that affect performance, reliability, scalability and availability of systems in. Once installed, monitoring becomes essential to an organization’s performance and embedded into business and operational workflows. There are a number of industry trends that are currently changing the way organizations manage and use, deploy software applications and their underlying technology infrastructure. These trends are creating a significant opportunity to displace existing monitoring solutions and reshape the product categories, and include:
Modern technologies create significant challenges for IT. Technologies such as containers, microservices and serverless computing produce IT environments which are highly ephemeral in character compared to static legacy on-premise environments. The amount of SaaS platforms and open source tools offered to IT organizations has exploded providing significant options to developers to use the most powerful and agile services compared to a few standardized vendor suites from the on-premise globe. The scale of computing resources required from the cloud has improved exponentially and can be called upon in rapid, sometimes unpredictable, bursts of enlarged computing capacity compared to the static nature and smaller scale demanded of heritage information centres. The rate of change of application development from the cloud has improved dramatically as programs are being updated in days and minutes compared to weeks and years. These challenges have made it extremely difficult to gain visibility and insight into program and infrastructure performance and heritage monitoring tools have struggled to adapt.
We are in the early days of change. A seismic change is from static IT architectures to lively multi-cloud and architectures with ephemeral technologies such as containers, microservices and serverless architectures . According to Gartner, since the cloud becomes mainstream from 2018 to 2022, it will influence portions of business IT choices, with over $1 billion in enterprise IT spend at stake in 2019. The change permits businesses to improve agility, accelerate innovation and better manage costs. As companies migrate into the cloud and their infrastructure changes, so does the monitoring of this infrastructure. We are in the early days of this huge transformation. According to Gartner, only 5% of applications have been monitored as 2018. Worldwide spend on people cloud solutions, including infrastructure-as-a-service and platform-as-a-service is anticipated to grow from $60 billion in 2018 to roughly $173 billion in 2022, according to the IDC, representing a 30% compound annual growth rate.
Collaboration of development and operations teams is critically important. DevOps is a practice and culture characterized by developers and IT operations teams working collectively, each with ownership of the entire product development cycle. DevOps is necessary to achieving the agility and speed required for growing and maintaining modern applications, but they’ve been historically siloed. From the inactive, on-premise world, developers and IT operations personnel functioned independently with different objectives, priorities and resources. Developers would focus on writing code to create the best applications and operations teams will cause analyzing, scaling and deploying the applications. These teams generally did not collaborate and had systems and tools to track performance. Often the lack of communication between Dev and Ops teams would result in problems in program performance because the code may not have been written with the most efficient installation in mind, resulting in difficulty climbing, latency and other performance issues. The cycle of code rewrites may be protracted, but suitable from the static world where software releases occurred once a year. In the cloud era, where the frequency of software updates is days or minutes, this communication and coordination between Dev and Ops is necessary to ensuring rapid implementation and maximizing business performance. With mission-critical procedures being powered by software, Dev and Ops teams must collaborate to optimize both technology and business functionality. As a result, Dev and Ops teams need tools that provide a unified perspective of both technology and business performance so as to collaborate in real-time to optimize business success.
Organizations must digitally transform their companies to compete. There has been a fundamental shift in the way organizations use technology to interact with their clients and compete in the marketplace. This rise in influence is directly connected to the increased quantities of resources organizations are devoting to building distinguished mission-critical software. Poor technology performance negatively affects results and user experience in lost earnings, customer churn brand perception and employee productivity. Thus, companies across all industries are investing to digitally alter their businesses and increase the experience of their customers. At precisely the exact same time, their investments are significantly growing to monitor this digital transformation. According to Gartner, enterprises will quadruple their usage of APM due to increasingly digitalized business processes from 2018 through 2021 to achieve 20 percent of business applications.
Limitations of Offerings
Legacy industrial and homegrown technologies have been created to operate with monolithic, static and on-premise environments. These approaches typically exhibit the following critical limitations:
Not built to work with a wide set of technologies. Legacy technologies aren’t meant to operate in heterogeneous environments, with a plethora of vendors, software and technologies. Instead, these offers are built to work with a limited variety of heritage, on-premise vendor suites and can’t make the most of contemporary SaaS and open source technologies the industry has lately embraced.
Not built for development and operations teams cooperation. Legacy offerings often force development and operations groups to use disparate monitoring technologies that don’t share a frequent frame or set of data and analytics. This makes collaboration between Dev and Ops teams hard and can often cause sub-optimal company effects.
Deficiency of complex analytics. Legacy on-premise architectures deficiency scalability in collecting and processing large comprehensive datasets. Users of those legacy technologies frequently must manually collect and integrate information from disparate systems and IT environments. The shortage of data scale and aggregation can make it challenging to train contemporary machine-learning algorithms causing less precise insights.
Not constructed for cloud scale. Legacy technologies aren’t meant for cloud scale surroundings and fast, sometimes unpredictable, bursts of computing resources required by modern software.
Not constructed for dynamic infrastructure. Most offerings were constructed for static infrastructures where components of the infrastructure and applications are deployed once and rarely change. These solutions cannot visualize, and monitor technologies like clouds, containers and microservices, which can be highly dynamic and ephemeral in nature.
There are a number of contemporary commercial technologies that have attempted to tackle the shortcomings of legacy approaches. These approaches typically exhibit the following limitations:
Point solutions lack depth of visibility and insight. Point solutions can’t offer integrated infrastructure monitoring, program performance monitoring and log management on a single platform and therefore, lack the required visibility, insight and context for optimal collaboration.
Monitoring sprawl exacerbates alert fatigue. Disparate tools frequently exacerbate the awake fatigue suffered by many organizations. Gartner notes the need for companies to trim down the amount of monitoring tools used, which in the case of bigger enterprises is more than 30, while some smaller businesses have monitoring tools ranging in number from three to 10.
Difficult hard to use and to set up. These technologies often have complex implementation processes requiring significant specialist services. These offerings are complicated to use, requiring extensive upfront and continuing training and time commitment.
These offerings are intended to tackle very specific use cases for a small cadre of users and can require heavy implementation expenses and services so as to derive value. They aren’t easily extensible to a extensive set of use cases to get a larger number of technology and business users.
Key Strengths of modern solutions
Old model of siloed developers and IT operations engineers is broken, and that legacy tools used for monitoring static on-premise architectures don’t work in modern cloud or hybrid environments. Cloud-native platform empowers development and operations teams to collaborate, fast assemble and enhance software, and drive business performance. Empowered by out-of-the box functionality and simple, self-service installation, customers can quickly deploy the stage to offer application- and infrastructure-wide visibility, often within minutes.
Built for lively cloud infrastructures. Our revolutionary platform was created in the cloud and has been built to work with transient cloud technologies for example microservices, containers and serverless computing. Our data model was built to operate at cloud scale with dynamic data will process more than 10 trillion events a day and collections.
Our system is searchable with out-of-the-box integrations, customizable dashboards, real-time visualization and prioritized alerting. The platform is set up in a setup process within seconds, enabling users to derive worth without implementation or any technical training or customization. It is extensible across a vast selection of use cases to a set of developers, operations engineers and business users. As a result, our platform used every day and is integral to company operations, and our customers find value in the solution as time passes.
Integrated information platform. We were the first to unite the”three pillars of observability” – metrics, traces, and logs – with the debut of our log management solution in 2018. Nowadays, our platform unites infrastructure monitoring, application performance monitoring, log management, user experience monitoring, and network performance monitoring in a single integrated data platform. This approach increases efficiency by decreasing the expense and friction of trying to glean insights from systems. We are able to provide a unified view across the IT stack, including infrastructure and application performance, as well as the real time events. Each of our products is incorporated and taken together provide the ability to see metrics, traces and logs side-by-side and perform correlation analysis.
Constructed for collaboration. Our platform was built to break down the silos between developers and operations teams in order to help organizations adopt DevOps practices and enhance overall business performance. We provide development and operations teams with a set of tools to develop a joint comprehension of application performance and insights to the infrastructure supporting the applications. Additionally, our customizable and dashboards can be shared with business organizations to provide them with actionable insights.
Cloud agnostic. Our system is designed to be deployable across all environments, including public cloud, personal cloud, on-premise and multi-cloud hybrid environments, enabling organizations to diversify their infrastructure and decrease individual vendor dependence.
Ubiquitous. Cloud systems are often deployed across the entire infrastructure of a customer, which makes it ubiquitous. In comparison to legacy systems that are frequently used exclusively by a few users within a business’s IT operations group, modern systems ought to be a part of their lives of developers, operations engineers and business leaders.
Integrates with our clients’ environments that are complex. We empower development and operations groups to harness the complete range of SaaS and open source tools. We have over 350 out-of-the-box integrations with technologies to provide substantial value to our customers without the need for professional services. Our integrations provide for detailed data point aggregation and up-to-date, high-quality customer adventures across heterogeneous IT environments.
Powered by machine-learning and analytics. Our system ingests amounts of information to our data warehouse that is unified. We create actionable insights using our advanced analytics capabilities. Our platform includes machine learning that can cross-correlate metrics, clips and traces to identify outliers and notify consumers of potential anomalies before they impact the company.
Scalable. Our SaaS platform is highly scalable and is delivered via the cloud. Our platform is massively scalable currently monitoring more than 10 trillion occasions per day and millions of containers and servers at any point in time. We offer easily accessible data retention at complete granularity for extensive intervals, which may provide clients with a comprehensive view of the historical data.
Our systems provides the following key benefits to our customers:
Enable operational efficiency. Our solution is easy to set up, which eliminates the requirement for services that are professional and heavy implementation costs. We have over 350 out-of-the-box integrations with key technologies, from which our customers can derive value, preventing internal development costs and services necessary to create those integrations. Our customer-centric pricing model is tailored to customers’ desired usage requirements. For example, our log management solution has differentiated pricing for logs indexed versus logs ingested. Our platform enables customers to better understand the operational demands of their software and IT environments, allowing greater efficiency in resource allocation and spend on cloud infrastructure.
Employing APM infrastructure and log info in our system, our customers can quickly isolate the source of application issues in one place where they would be required to spend hours trying to explore using tools. Additionally, our machine learning algorithms have been trained on the amount of data that our customers send us to discover anomalies and predict failures in client systems in real time, something that’s not possible to do.
Improve agility of development, operations and business teams. We remove the silos of development and operations teams and provide a platform that enables agile and efficient development through the adoption of DevOps. Our platform enables development and operations teams to collaborate with a shared understanding of information and analytics. This helps them develop a joint understanding of application performance and shared insights to the infrastructure behind the applications. Additionally, for businesses, our customizable and easy-to-understand dashboards could be shared with business organizations to supply them with real time actionable insights into company performance.
Accelerate digital transformation. We empower customers to take advantage of the cloud preserve and to develop mission-critical applications with agility and with confidence in the face of business and time stress and complexity of infrastructure. Because of this, our system helps accelerate innovation cycles, and provide exceptional digital encounters and optimize business performance.
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