Evaluating a new, unknown technology is a complicated task. Although you can articulate the goals you’re trying to achieve, you’re probably faced with multiple solutions that approach the problem in different ways and highlight varying features. To cut through the clutter, you need to figure out what questions to ask in order to evaluate which technology has the optimal capabilities to get the job done in your unique setting.

In the first part of the blog series, we discussed how correlation analysis can be leveraged to reduce time to detection (TTD) and time to remediation (TTR) by guiding mitigation efforts early. Further, correlation analysis helps to reduce alert fatigue by filtering out irrelevant anomalies and grouping multiple anomalies stemming from a single incident into one alert. In this part, we throw light on the applicability of correlation analysis in the realm of eCommerce, specifically, promotions.

Over the last decade, data collection has become a commodity. Consequently, there has been a tremendous deluge of data in every area of industry. This trend is captured by recent research, which points to growing volume of raw data and growth of market segments fueled by that data growth.

As usage-based pricing models have continued to increase over the past decade, particularly for technology companies, there has been a major shift in budget planning and resource allocation. Since CFOs can no longer predict or approve each and every expense before they’re incurred, variations in usage costs can often make or break a company’s profitability. For example, two of the most common usage-based costs come from online advertising and IT-related cloud costs.

As the business world continues to integrate AI and machine learning to better manage big data processes, one area that arguably has benefitted the most is business monitoring. From IT management to business intelligence, the last few years have seen a drastic shift in how companies are monitoring their data.

For many companies, cloud costs are among the top investments these days. With a growing number of services, instances and regions, cloud cost optimization is becoming increasingly painful. Companies use cloud management platforms to optimize costs and increase cloud visibility and security. But staying on top of AWS budgets requires proficiency, agility and time—especially when any glitch can result in massive cost bleeds.

Aside from ensuring each service is working properly, one of the most challenging parts of managing a cloud-based infrastructure is cost monitoring. There are countless services to keep track of—including storage, databases, and computation—each with their own complex pricing structure. Monitoring cloud costs is quite different from other organizational costs in that it can be difficult to detect anomalies in real-time and accurately forecast monthly costs.

June was the month where many of us stretched our legs, glad to be out of quarantine — and then immediately went back inside due to fears of a second wave. “One step forward, one step back,” offers an adequate summary of life in a pandemic. It’s also a sentiment that applies to the ongoing challenge in mitigating glitches and outages.

Similar to other companies in the entertainment industry, gaming companies typically drive revenue from three sources: in-app purchases, ads, and subscription. A couple of examples of these sources include creating different in-app purchase options for each game and various ad units from multiple ad networks. While this diversity in revenue streams may be advantageous from a business perspective, from a technical standpoint, it creates numerous challenges.

Hello, and welcome back (to some of you, at least) from quarantine. Although things may look as though they’ve reached a new normal, our present equilibrium still includes a number of glitches. In May, in addition to the usual outages due to overloaded servers, we also have outages due to failures of partner monitoring, plus – an Anodot first – a pizza arbitrage issue. Is it true that you can make money by selling pizzas to yourself?