Time Series Prediction Approaches

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Latest Blogs from Time Series Journal
An Intellyx Brain Candy Brief Industrial operations is an industry primed to take advantage of advances in machine learning and predictive analytics. But in spite of […]
With AI use case scenarios becoming more complex, the actual implementation of it has also grown more challenging. However, a new way of delivering AI may be on the horizon. 2018-01-25T15:10:47Z 2018-01-27T13:40:43Z Mark Troester
In our previous post, we described a way to automatically isolate given time series values related to trends and seasonality from the remainder. The remainder component is crucial to detect anomalies...
Ovum recently released its first Market Radar focused on Cloud-native Application Performance Management, researched and written by Principal Analyst, Dr. Michael Azoff. You can download a complimentary version here. Ovum describes cloud-native development as “The new wave of microserv...
An Intellyx Brain Candy Brief LogicMonitor uses lightweight collectors to gather operational time-series data across a wide variety of infrastructure, both on-premises and in the cloud. […]
In a few decades when the history of computing will be written, a major section will be devoted to cloud computing. The headline of the first section would read something like this – How did a dot-com era book-selling company became … Continue reading →
Forrester recently published the report: “Vendor Landscape: Cognitive Operations”, defined as the “AI version of IT ops management and application performance management.” While cognitive ops solutions can help IT manage increasingly complex and dynamic environments with less effort, F...
It seems everything is available as a cloud hosted service today, creating a tremendous amount of noise. How can you be sure what’s right for your organization? 2017-10-10T12:05:00Z 2017-10-10T14:41:20Z Mark Troester
Today’s digital business landscape has put a premium on performance. With such high stakes at play, IT organizations are amassing huge volumes of time-series data across multiple data sources to successfully deliver high-quality performance. What sets high-performing IT organizat...
Dynatrace custom charting has been enhanced with some long-awaited metrics! Custom charts can now display performance metrics for specific web applications, web checks, and key user actions. Numerous metrics are now available for these entities. As always, it’s easy to add custom...
The latest release of the Dynatrace Timeseries REST API has been enhanced to include all long-term persisted real user monitoring metrics that Dynatrace collects for your web applications. In previous releases, the Dynatrace API only exposed basic metrics, such as performance and error...
Let’s take a look at what many monitoring tools have in common When it comes to “full stack” performance monitoring, you will find a collection of vendors including New Relic, Datadog, SignalFx, Wavefront, and Sysdig offering solutions that are remarkably similar in many ways. With thi...
There are many solutions that claim to democratize analytics, but they are really constrained. A meta-learning approach democratizes without limits. 2017-08-11T15:35:57Z 2017-09-06T20:56:58Z Mark Troester ?utm_medium=feed&utm_source=feedpress.me&utm_campaig...
One of the most important and basic features of any performance monitoring solution is the ability to track metric trends over time (i.e., charting of time-series data). Dynatrace uses sophisticated charting to visualize changes in metric trends over time, making it easy to see trends ...
This is the last blog in the series on sampling. In the previous editions (Part I, Part IIa, and Part IIb), we had (a) provided an overview of the metrics arms race and had walked through the use of sampling in this regard, (b) overviewed margin of error associated with… The post...
Jonathan is a platform engineer at VictorOps, responsible for system scalability and performance. This is Part 3 in a series on system visibility, the Detection and Analysis part of the Incident Management Lifecycle. If you missed them, read Part 1 and Part 2 first. Ok, logging improve...
In an earlier blog, the evolution of performance metrics – for example, from load time to above the fold to speed index – was discussed. As much as this evolution is warranted in the wake of the dynamic application landscape and changing user expectations, the phenomenon also contribut...
Dynatrace monitors the performance of each transaction that occurs in your environment. Performance data, including response times for each service and service method, are tracked and stored for each transaction. By collecting such time series data for each transaction and categorizing...
Detection, in the Incident Lifecycle, is the observation of a metric, at certain intervals, and the comparison of that observation against an expected value. Monitoring systems then trigger notifications and alerts based on the observation of those metrics. For many teams, on-call is p...
As data volumes grow, and business agility becomes the differentiator between success and failure, enterprises are increasingly re-evaluating legacy technology choices. In order to meet customer demands for higher performance and to develop the new, data-rich services demanded by the b...
Solr vs. Elasticsearch. Elasticsearch vs. Solr.  Which one is better? How are they different? Which one should you use? Before we start, check out two useful Cheat Sheets to guide you through both Solr and Elasticsearch and help boost your productivity and […]
I recently presented a webinar with DevOps.com about the behaviors we see in teams who represent the leading edge of Incident Management. Using the Incident Management Lifecycle as a jumping off point, we explored 10 tips that nest into each of the 5 phases of an incidents’ lifec...
Change is the only constant in life. There are many definitions of change, but for the purpose of this blog, I will define change as any deviation or variation between two or more instances. Just as we as humans experience changes in our mood on a regular basis, applications often chan...
People love Splunk. But not its price. So people are always on a lookout for a good Splunk alternative. Many of those people migrated from Splunk to ELK Stack or Hosted ELK Stack solutions like Logsene. The situation with Elastic […]
20 billion documents, 15TB of data scaled across a MongoDB cluster in the cloud. New apps each adding 1 billion+ data points per month With mobile now accounting for more than 90% of all time spent online in some countries, delivering rich app experiences is essential. Appsee is a new...
Every financial services organization is tasked with two, often conflicting, priorities: The need for rapid digital transformation Implementing compliance controls that go beyond internal systems, extending all the way to their digital borders. However, capturing and analyzing billi...
We’re excited to share that we’re open-sourcing the tool we use to gather and transform the metrics from our managed DNS providers. We use DNSmetrics to supply data in a standard format to our SRE team’s monitoring and alerting systems, and we hope it can... The post ...
The impact of website/app performance on the bottom line of an Internet firm is an undisputed fact (refer to our earlier blog for further discussion on the subject). Over the years, the industry has come to terms with no longer considering performance as an afterthought and making it a...
Innovating faster to meet end-user demand is one of the challenges addressed by DevOps. DevOps bridges the knowledge gap about the impact between business and application teams. Application teams have to better understand the impact they have on business with code or deployment changes...
The recent ransom attack on public Elasticsearch instances showed that Elasticsearch security is still a hot topic. Elasticsearch was not the only target – tens of thousands of poorly configured MongoDB databases have been compromised over the past week, too, compromising over 27...
A long awaited Dynatrace feature—the ability to view the history of detected problems in your environment within custom time frames—is finally here! To date, the Problems feed and the Problems dashboard tile have provided a rolling 72-hour history of open/closed problems in your enviro...
An Intellyx Brain Candy Brief Wavefront is one of many vendors in the IT Operations Analytics (ITOA) space, a market that has burgeoned over the last […]
In Part I, we provided an overview of the metrics arms race and had walked through the use of sampling in this regard. We had also discussed the importance of baking in recency of data during sampling and some of the pitfalls of sampling such as the sampling error. Recall that exact me...
In a recent report from MarketsAndMarkets, it was forecasted that IT Operations Analytics (ITOA) market shall grow from $2.17B by 2015 to $9.79B by 2020, at a Compound Annual Growth Rate (CAGR) of 35.2% from 2015 to 2020. This coupled with decreasing cost of HDDs on a per GB basis (as ...
With cloud computing becoming ubiquitous and the advent of IoT, the problems associated with the three Vs of Big Data – viz., volume, velocity, and variety – would exacerbate. One routinely hears from speakers at every industry conference about the magnitude of the three Vs at their re...