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To provide maximum freedom in selecting the service-level indicators that matter most to your business, Dynatrace combines SLOs with the power of Dynatrace Grail™ data lakehouse, the central data platform with heterogeneous and contextually linked data. This is where Grail, the Dynatrace central data platform, excels.
Take your monitoring, data exploration, and storytelling to the next level with outstanding data visualization All your applications and underlying infrastructure produce vast volumes of data that you need to monitor or analyze for insights.
There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. To unlock business value, the data must be: Accessible from anywhere. Data has value only when you can access it, no matter where it lies. Agile business decisions rely on fresh data. Easy to access. Contextualized.
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The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? What is always-on infrastructure?
As HTTP and browser monitors cover the application level of the ISO /OSI model , successful executions of synthetic tests indicate that availability and performance meet the expected thresholds of your entire technological stack. Our script, available on GitHub , provides details. into NAM test definitions.
Expectations for network monitoring In today’s digital landscape, businesses rely heavily on their IT infrastructure to deliver seamless services to customers. The market demands a robust solution that can monitor applications and the underlying network infrastructure to ensure end-to-end availability and performance.
However, the challenge often lies in the fragmentation of vulnerability data across different systems and tools. On the other hand, Tenable focuses on infrastructure, conducting comprehensive scans of hosts, web applications, and compliance checks.
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Cloud service providers (CSPs) share carbon footprint data with their customers, but the focus of these tools is on reporting and trending, effectively targeting sustainability officers and business leaders. This is partly due to the complexity of instrumenting and analyzing emissions across diverse cloud and on-premises infrastructures.
An hourly rate for Infrastructure Monitoring The Dynatrace Platform Subscription (DPS) offers a flat rate for Infrastructure Monitoring , providing observability for cloud platforms, containers, networks, and data center technologies with no limits on host memory and with AIOps included.
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IBM Z and LinuxONE mainframes running the Linux operating system enable you to respond faster to business demands, protect data from core to cloud, and streamline insights and automation. Telemetry data, such as traces and metrics, allow you to analyze the end-to-end performance of your deployed applications.
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.” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. Here, we’ll tackle the basics, benefits, and best practices of IAC, as well as choosing infrastructure-as-code tools for your organization. What is infrastructure as code? Consistency.
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Managing High Availability (HA) in your PostgreSQL hosting is very important to ensuring your database deployment clusters maintain exceptional uptime and strong operational performance so your data is always available to your application. It reduces downtime and supports business continuity.
It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.
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The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace is widely recognized for its AI capabilities’ ability to predict and prevent issues, and automatically identify root causes, maximizing availability. Eventually, the goal is to arrive at self-healing through autonomous cloud operations.
Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. However, your responsibilities might change or expand, and you need to work with unfamiliar data sets. Your trained eye can interpret them at a glance, a skill that sets you apart.
Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.
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Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform.
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I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.
Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.
They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Proactive resource allocation. Capacity planning.
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Welcome back to our power dashboarding blog series , data enthusiasts! You can either continue with the custom infrastructure metrics dashboard you created in Part I or use the dashboard we prepared here (Dynatrace login required). exploring your data when you know your desired outcome but are unfamiliar with the availabledata.
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Recently, the Parliament of India released the Digital Personal Data Protection Act 2023 , which regulates the processing of digital personal data in India and recognizes the right of individuals to protect their data in India. Dynatrace is already supported in 17 local regions on three hyperscalers (AWS, Azure, and GCP).
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