Welcome!

Java IoT Authors: Yeshim Deniz, Pat Romanski, Liz McMillan, Elizabeth White, Zakia Bouachraoui

Related Topics: @DevOpsSummit, Open Source Cloud, Agile Computing

@DevOpsSummit: Blog Post

Using Log Data Streams for Real-Time Analytics By @MattKiernan | @DevOpsSummit #DevOps

Part 1: The definition and benefits of using log data streams and real-time analytics for some common IT Ops uses cases

Using Log Data Streams for Real-Time Analytics: Part 1
By Matt Kiernan

Analytics tools are often focused on analyzing historical data. Taking a sample of data from historical events, you can perform calculations to determine what happened during that period of time and report on your findings. Monitoringtools are more often thought of in terms of real-time data, reporting raw metrics as they are recorded. Somewhere between these two types of tools exists Real-Time Analytics: the practice of performing constant monitoring and analysis in real-time, delivering raw metrics and up-to-the-second actionable insights.

The need for Real-Time Analytics has grown increasingly as IT infrastructures continue to evolve into more advanced systems, often distributed across thousands of instances that automatically scale up or down depending on the immediate need.

In Logentries' latest article, Using Log Data Streams for Real-Time Analytics, we explore four real-world situations where Real-Time Analytics are necessary. As noted in the article, there are many common challenges that can occur when data is not real-time such as when working with timestamps:

To further demonstrate the definition of real- time analytics, let's start by comparing it to the more commonly known, data batch processing. While batch processing can still append new data to an existing set, it does so in batches rather than a continuous stream. Batch processing comes with several disadvantages to real-time streaming. For example, if the data being processed doesn't include timestamps, every event in a batch will be assigned the same timestamp (the date and time the batch process occurred).

Batch processing also makes it impossible to generate immediate alerts off of events as they occur. How effective can a system alert be if you'll still experience several minutes of downtime before even receiving the alert? Tools that are actually real-time can deliver information within seconds of occurring, alerting you to the warning signs leading up to an issue, improving your chances of identifying, diagnosing and resolving problems before they negatively impact end-users.

Want to learn more about which situations demand Real-Time Analytics and what to look for in a Real-Time Analytics tool? Download Logentries' free whitepaper, Using Log Data Streams for Real-Time Analytics.

More Stories By Trevor Parsons

Trevor Parsons is Chief Scientist and Co-founder of Logentries. Trevor has over 10 years experience in enterprise software and, in particular, has specialized in developing enterprise monitoring and performance tools for distributed systems. He is also a research fellow at the Performance Engineering Lab Research Group and was formerly a Scientist at the IBM Center for Advanced Studies. Trevor holds a PhD from University College Dublin, Ireland.

IoT & Smart Cities Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...