Applying an observability strategy to core telecommunication data processing enables operators to answer questions that were not possible to answer before. As this approach has gained prominence, the Elastic Stack has become increasingly popular in the telecommunications space, with companies like Deutsche Telekom — their data transformation effort championed by Hans-Konrad Roth — adopting Elastic as their solution of choice for international traffic monitoring.

At Sumo Logic, we manage petabytes of unstructured log data as part of our core log search and analytics offering. Multiple terabytes of data are indexed every day and stored persistently in AWS S3. When a query is executed against this data via UI, API, scheduled search or pre-installed apps, the indexed files are retrieved from S3 and cached in a custom read-through cache for these AWS S3 objects. For the most part, the caching scheme for S3 objects works reasonably well.

From the first stay-at-home order, we have been working alongside our customers — from a distance, of course — and we helped them through a new and changing reality. As a customer success organization, we help customers leverage the tools and solutions they have, troubleshoot issues and optimize their business with the intent of helping customers be nimble and adjust to the changing conditions and uncertainties in the market.

Curbside pickup. Contactless payment. Voice commerce. In today’s world, the retail landscape is changing at record pace as consumers and the global economy embrace digitization like never before. I couldn’t be more excited about what’s to come for the industry.

AIOps is a term Gartner invented to describe a general trend of applying AI techniques to IT Operations data sources to provide additional insights and scale to the teams operating today’s complex software system. AIOps is essentially a feature or set of features to analyze, combine, and collect data. Unfortunately, the lack of AI in these solutions often turns many people off, but this promise is still possible.

When viewing and analysing data with Elasticsearch, it is not uncommon to see visualizations and monitoring and alerting solutions that make use of timestamps that have been generated on remote/monitored systems. However, using remote-generated timestamps may be risky.

At first glance, microservices logging may seem simple. You just take the same principles you’ve always followed for monoliths and apply them to each microservice in your application, right? Well, no. The differences between microservices and monolithic architecture amount to much more than a difference in the number of services involved.

Most of the IT industry is floating on the cloud these days. From hosting websites to storing data, organizations have started to use the cloud for various purposes, so why not for log monitoring? In this blog, I’ll explain how cloud-based log monitoring is beneficial for you and how you can use SolarWinds® Papertrail™ for it.