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By Austin Chia
Time series data is becoming more prevalent across many industries. Indeed, it is no longer limited to financial data. As the need to handle time-stamped data increases, the demand for specialized databases to handle this type of data has also grown. The solution: Time series databases. In this introduction guide, we'll explain all the basics you need to know about time series databases, including what they are, how they work and are applied, and some of their benefits.
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By Joanna Zouhour
Splunk’s extensible and scalable data platform has been instrumental in helping ITOps teams fully understand their tech environments and tackle any IT use case with data streaming, dashboarding, federated search, AI/ML, and more. But, with the explosion of telemetry and the growing complexity of digital systems, ITOps practitioners who rely solely on a logging solution are missing out on critical insights from their digital systems.
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By Leanne Mitton
In software development, two primary models of software exist: open source and closed source. Both types have their benefits and drawbacks, and understanding the differences between them can help you make informed decisions when choosing software for your projects. To simplify the concepts of open source and closed source software, let’s use the analogy of community cookbooks — open source — and a secret family recipe: the closed source.
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By Adam Schalock
Your log records may be missing a key ingredient that unlocks the world of observability for your applications, infrastructure and services. If you're building a new application or enhancing an existing one, consider adopting the OpenTelemetry Logs Data Model's Log and Event Record Definition. Adopting this definition enriches your logs by adding additional data, making it easier to use them to correlate them with metrics and traces, in addition to XYZ.
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By Brett Roberts
Amazon CloudWatch Logs enables you to centralize the logs from different AWS services, logs from your applications running in AWS and on-prem servers, using a single highly scalable service. You can then easily view these logs data, search them for specific error codes or patterns, filter them based on specific fields, or archive them securely for future analysis.
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By Muhammad Raza
Like humans, machines need to continually learn from non-stationary information streams. While this is a natural skill for humans, it’s challenging for neural networks-based AI machines. One inherent problem in artificial neural networks is the phenomenon of catastrophic forgetting. Deep learning researchers are working extensively to solve this problem in their pursuit of AI agents that can continually learn like humans.
The emergence of cloud computing. Arguably the biggest change in technology in decades, cloud computing changed how technology would now develop and how businesses and organizations would operate. Indeed, the enormous popularity of cloud services is due precisely to that: you can get different models depending on your operational needs. To properly utilize these cloud service models, you should understand the differences in their functional capabilities and the ideal use cases for each model.
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By Joanna Zouhour
As environments have become more complex and digital user expectations are at an all-time high, organizations are under more pressure than ever to keep their digital systems secure and reliable. At Splunk, we’ve been hard at work building features that help ITOps and engineering teams thrive amid digital disruptions and build resilient systems.
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By Gretchen O'Hara
What do you get when you combine the full power of the network with market-leading security and observability solutions? More customer value and an amazing partner ecosystem. It’s official! Today, with the closing of the acquisition, Splunk became part of Cisco. We’re looking forward to this exciting new chapter of our journey together – and it couldn’t have come at a better time.
How your software applications perform is an extremely important factor in determining end-user satisfaction. APM metrics are the key indicators that help business-critical applications achieve peak performance. This article explains APM metrics, their importance, and the core APM metrics used by modern software systems to measure and optimize the performance of their applications.
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By Splunk
How do you become digitally resilient as an organisation? Hear from Maria Nyström, Regional Sales Manager at Splunk Sweden, about how Splunk is helping enterprises get full traceability in their environment. Splunk customers can trace any issue for any user and follow that to the application backend, the specific microservice and the infrastructure it runs on.
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By Splunk
This video walks you through the highlights of phase 1, including deploying the OpenTelemetry Collector, viewing default dashboards, and managing built-in detectors. Enjoy!".
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By Splunk
Splunk Observability is built for scale at an enterprise level. You can bring in vast amounts of data in real-time, at a one-second resolution and without the need for sampling.
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By Splunk
Organisations get a full-stack, end-to-end view of what is happening in a complex application environment. With Splunk Observability they can correlate logs, traces and metrics. They get a complete view of their application services, and can proactively see if something is going to happen and quickly detect the issue when a problem occurs.
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By Splunk
How can Splunk bring ITOps- and engineering teams together so that they can deliver exceptional customer experiences? Splunk Observability can help enterprises and organisations solve problems within seconds. It's the only full-stack, analytics-powered and OpenTelemetry-native observability solution. Hear Robbie Baines, Observability Advisor at Splunk tell us more in this video.
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By Splunk
As organisations are making the move from on-prem to cloud solutions built on microservices architecture, their monitoring has become more complex. To get a more holistic view of their application services a comprehensive observability solution is needed. Splunk Observability strengthens digital resilience by preventing unplanned downtime.
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By Splunk
Why is Splunk a perfect match for the public sector? Learn more from Johan Agild, Regional Sales Director at Splunk. He talks about Splunk's capabilities to help organisations be more resilient to fend off threat actors, reduce downtime and fix issues faster with leading solutions in the market.
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By Splunk
Experience an IT analyst exploring new possibilities with the new Splunk AI Assistant for SPL. Get help to write custom SPL or learn more about your organization's existing queries with detailed explanations of complex SPL queries in natural language available right within your Splunk workflow.
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By Splunk
Companies face challenges every day from security threats and system outages to funky code. But at Splunk, we minimize their power to disrupt. Because we help companies build digital resilience, be ready for anything and illuminate their path forward.
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By Splunk
Gaining insights from your data requires more than collecting and analyzing metrics and logs. With the acceleration of customer and business demands, site reliability engineers and IT Ops analysts now require operational visibility into their entire architecture, something that traditional APM tools, dev logging tools, and SRE tools aren't equipped to provide. Observability enables you to inspect and understand your IT stack; but what is it, and how does it differ from IT monitoring?
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By Splunk
The hype around artificial intelligence (AI) and machine learning (ML) has exploded, sometimes overshadowing the real uses and innovations happening everyday at organizations across the globe. The reality is that applying AI and ML to data-dependent challenges presents opportunity for better security, faster innovation and overall improved efficiency.
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By Splunk
Imagine a world where incident alerts arrive 30 minutes before problems even begin - you'd actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again - the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
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By Splunk
At Splunk, we make it easy for our customers to turn mountains of machine data in their Amazon Web Services (AWS) and hybrid environments into valuable business, operational and security insights that improve their businesses.
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By Splunk
Most IT organizations have adopted event management as a central practice to help find and fix what's broken, but today's tools focus on managing the volume of events-they do not deliver service context. Without context, you are ill-equipped to focus on the right problem at the right time. What you need is something different-something that makes IT events less eventful and more insightful-and now, you can finally do it!
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By Splunk
From protecting customer experience to preserving lines of revenue, IT operations teams are faced with increasingly complex responsibilities while being required to prevent outages that could harm the organization. Splunk IT Service Intelligence (ITSI) utilizes AI powered by machine learning to deliver a predictive IT and ensure optimal application performance and quality.
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By Splunk
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data-the largest category of big data-which is both untapped and full of potential.
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By Splunk
Let's face it - the struggle to monitor basic server metrics in modern hybrid infrastructures is real. But deploying and maintaining monitoring tools doesn't have to be a major headache. Splunk Insights for Infrastructure can help your team index both Linux and AWS data, enabling them to quickly identify and remediate the root cause of problems.
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By Splunk
Splunk is probably the single most powerful tool for searching and exploring data you will ever encounter. Exploring Splunk provides an introduction to Splunk -- a basic understanding of Splunk's most important parts, combined with solutions to real-world problems.
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By Splunk
Digital transformation has led to complex environments that continuously generate new data. As a result, organizations are left unsure about how to best use their data to foster growth and edge out the competition. It's not enough to just have mountains of data, it needs to be analyzed and made sense of in a way that best suits the business.
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Splunk produces software for searching, monitoring, and analyzing machine-generated big data, via a Web-style interface.
Splunk turns machine data into answers. Regardless of your organization’s size and industry, Splunk can give you the answers you need to solve your toughest IT, security and business challenges—with the option to deploy on-premises, in the cloud or via a hybrid approach.
Work the Way Your Data Works:
- Real-Time: Splunk gives you the real-time answers you need to meet customer expectations and business goals.
- Machine Data: Use Splunk to connect your machine data and gain insights into opportunities and risks for your business.
- Scale: Splunk scales to meet modern data needs — embrace the complexity, get the answers.
- AI and Machine Learning: Leverage artificial intelligence (AI) powered by machine learning for actionable and predictive insights.
Any Question. Any Data. One Splunk.