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As cloud complexity increases and security concerns mount, organizations need log analytics to discover and investigate issues and gain critical business intelligence. But exploring the breadth of log analytics scenarios with most log vendors often results in unexpectedly high monthly log bills and aggressive year-over-year costs.
Key insights for executives: Stay ahead with continuous compliance: New regulations like NIS2 and DORA demand a fresh, continuous compliance strategy. Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time.
As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.
The show surrounding logs function provides Dynatrace users with the ability to dive deeper and surface context-specific log lines of the components and services linked to the problem—all without a single line of code or complex query language knowledge. Advanced analytics are not limited to use-case-specific apps.
By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.
IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Identify the business outcomes.
Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.
Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. This enables proactive changes such as resource autoscaling, traffic shifting, or preventative rollbacks of bad code deployment ahead of time.
A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Security Analytics and automation deal with unknown-unknowns With Security Analytics, analysts can explore the unknown-unknowns, facilitating queries manually in an ad hoc way, or continuously using automation.
Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT. Metric extraction is a convenient way to create your business metrics, delivering fast, flexible, and cost-effective analytics.
Mobile app monitoring and mobile analytics make this possible. By providing insight into how apps are operating and why they crash, mobile analytics lets you know what’s happening with your apps and what steps you can take to solve potential problems. What is mobile analytics? Why use mobile analytics and app monitoring?
With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. The importance of hypermodal AI to unified observability Artificial intelligence is a critical aspect of a unified observability strategy.
In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Instead, we want to focus on detecting and stopping attacks before they happen: In your applications, in context, at the exact line of code that is vulnerable and in use.
In 2021, nearly 180 million Americans shopped online and in person during the Black Friday period, according to a report by the National Retail Federation and Prosper Insights & Analytics. The company did a postmortem on its monitoring strategy and realized it came up short. Map out team practices to handle incidents.
Dynatrace helps enhance your AI strategy with practical, actionable knowledge to maximize benefits while managing costs effectively. Any error codes or guardrail triggers. Root cause analysis With Dynatrace, you quickly correlate the LLM anomaly to a specific function in your microservice code.
Broken Apache Struts 2: Technical Deep Dive into CVE-2024-53677The vulnerability allows attackers to manipulate file upload parameters, possibly leading to remote code execution. This blog post dissects the vulnerability, explains how Struts processes file uploads, details the exploit mechanics, and outlines mitigation strategies.
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. These are just some of the topics being showcased at Perform 2023 in Las Vegas.
In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more. Operations.
It’s also critical to have a strategy in place to address these outages, including both documented remediation processes and an observability platform to help you proactively identify and resolve issues to minimize customer and business impact. Software bugs Software bugs and bad code releases are common culprits behind tech outages.
As part of this initiative, including migration-ready assessments, and to avoid potentially catastrophic security issues, companies must be able to confidently answer: What is our secure digital transformation strategy in the cloud? For decades, it had employed an on-premises infrastructure running internal and external facing services.
To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Further reading about Business Analytics : . Digital Business Analytics. Digital Business Analytics: Let’s get started.
However, most organizations are still in relatively uncharted territory with their AI adoption strategies. As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%).
Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Deep-code execution details. Dynatrace news. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces.
Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system.
Dynatrace has been building automated application instrumentation—without the need to modify source code—for over 15 years already. Driving the implementation of higher-level APIs—also called “typed spans”—to simplify the implementation of semantically strong tracing code. What Dynatrace will contribute.
Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. In vulnerability management , AI algorithms can quickly identify vulnerabilities such as remote code execution (RCE) or cross-site scripting (XSS) attacks.
Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks.
We recently attended the PostgresConf event in San Jose to hear from the most active PostgreSQL user base on their database management strategies. Most Popular PostgreSQL VACUUM Strategies. are in the process of planning their VACUUM strategy. What's the Most Popular VACUUM Strategy for PostgreSQL? On average, 21.7%
The foundation of this flexibility is the Dynatrace Operator ¹ and its new Cloud Native Full Stack injection deployment strategy. This file is automatically configured with working defaults, but it can be easily modified using a code editor such as VS Code. Of course, everything is deployed using standard kubectl commands.
And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. Creating a sound IT automation strategy. So, what is IT automation? What is IT automation?
The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). As a result, this baseline measurement has become an important component of our sustainability strategy. Carbon Impact is an important part of the Dynatrace environmental, social, and governance (ESG) strategy.
Dynatrace introduced Session Replay some time ago to help modernize your DEM strategy. It helps you identify errors, analyze areas of struggle, and provides tons of analytical data for your testing teams. Session Replay enables you to capture and visually replay the complete digital experience of your end users.
Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. Davis CoPilot can provide recommended actions to remediate issues.
This means, you don’t need to change even a single line of code in the serverless functions themselves. This additional insight enables you to design strategies for handling the effects of cold starts, like warming up your functions or configuring provisioned concurrency for your functions.
And although technology has become more central to their business strategies, they are juggling many priorities in digital transformation. Maciag cited a Dynatrace customer who observed that their ingestion rates and costs were linearly increasing, but the value and analytics their teams could extract were not correlating.
The vulnerability enables a remote attacker to execute arbitrary code on a service on the internet if the service runs certain versions of Log4j 2. As our team discussed attack detection and mitigation strategies for Log4Shell, we received the first real-time updates in our vulnerability feed from Dynatrace Application Security.
60-page Analytics supplement guide. Five deployable code implementations. Use the code "HIGHSCALABILITY" at checkout and you’ll shave off $20 for Basic, $30 for Plus, and $50 for Premium. Use the code "HIGHSCALABILITY" at checkout and you’ll shave off $20 for Basic, $30 for Plus, and $50 for Premium.
Historically, I’d maybe look at Google Analytics—or a RUM solution if the client had one already—but this is only useful for showing me particular outliers, and not necessarily any patterns across the whole project. I want to be able to form hypotheses and draw conclusions without viewing a single URL or a line of source code.
They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.
Instrumentation involves adding code to your application to collect this tracking information, akin to installing security cameras in a store to monitor customer movement and behavior. You can set up instrumentation manually by adding specific code snippets to your application, or automatically using OpenTelemetry auto-instrumentation agents.
The operational and competitive advantages of creating great user experiences underscore why having advanced DPM capabilities has to be at the forefront of organizations’ digital transformation strategies. Failing to master DPM has significant implications for both IT and the business – the two go hand in hand.
Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.
In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Maximize performance for high-frequency and low-latency trading strategies. Automated issue resolution.
You will then be taken to step 2 where you can enter a promotion code. This is where those paying with Flexpoints will enter the special Flexpoints promotion code provided by your Dynatrace Services Representative by clicking Apply promotion code. Getting started with Digital Experience Monitoring (DEM) analytics.
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