Operations | Monitoring | ITSM | DevOps | Cloud

Here at Sumo Logic, we share a lot of thoughts about managing data at scale, and the innovative ways we help customers address their unique use cases. It’s not just about analysis of logs. In this article, I will talk about another important observability signal: distributed traces. I will share a few observations about how we at Sumo think about the future of adoption of distributed traces, a very important concept, taking from our own experience.

Jaeger is a popular distributed tracing project hosted by the Cloud Native Computing Foundation (CNCF). In the Elastic APM 7.6.0 release we added support for ingesting Jaeger traces directly into the Elastic Stack. Elasticsearch has long been a primary storage backend for Jaeger. Due to its fast search capabilities and horizontal scalability, Elasticsearch makes an excellent choice for storing and searching trace data, along with other observability data such as logs, metrics, and uptime data.

When we started the development of Icinga 2 we had a clear picture. We wanted a great monitoring solution for small and large environments. Back then, we imagined Icinga 2 to be a scalable monitoring tool with a dynamic configuration, enriched with a slight and fast web interface. In fact, there were some more details to that. But let’s keep it short. We worked hard to achieve our goals.

Alerts are an essential part of performance monitoring. Alerts and notifications need to be sent out as soon as an issue is identified, allowing you to know about any problems before your customers do. In this week’s Tip Tuesday, we look at building an effective alert strategy and how to utilize Catchpoint Alerts so that you can quickly and effectively leverage the information provided to take carefully targeted action and improve your MTTR. Building an effective alert strategy is important.

Announcing automatic dependency mapping in SolarWinds AppOptics When your team responds to a latency alert on a single service, how do they know how (or if) the increased latency in one service affects the end user? With the SolarWinds® AppOptics™ service map, teams can easily view the relationships between services, and see how (or if) a service is connected to the end user.

Elasticsearch and MongoDb are the two most popular distributed datastores used to manage NoSQL data. Both of these technologies are highly scalable and have document-oriented design at the core. There are differences between the two technologies, however, and it’s important to understand these differences in order to choose the right one for your use case. This blog post will examine the differences between these two technologies in a number of critical areas.

I’d like for you to think of your favorite app that you use almost every day. What do you use it for and why? Next, I’d like for you to think of the last time the app had a major design change that made you think, “What was the company thinking? Why would they change something that worked perfectly fine and make it so unusable? Did they not consult actual users before making this change?”

In today’s post, we’ll learn about Mnesia, see when you would use such a tool, and take a look at some of the pros and cons of using it. After covering the fundamentals of Mnesia, we’ll dive right into a sample application where we’ll build an Elixir application that uses Mnesia as its database. Let’s jump right in!

GrafanaCONline is live! We hope you’re able to catch the great online sessions we have planned over the next couple of weeks. If you haven’t had a chance to tune in lately, here’s what you missed on days 3 and 4 of the conference.

We will always remember April 2020 as the month that a DDoS attack took the world’s most expensive bottle of whiskey offline. We barely knew ye. Dateline: April 2020, the world’s most expensive whiskey auction is taken offline by DDoS. But other notable outages taught us a lot about which threats dominate our landscape. Namely DDoS attacks, which are highlighting vulnerabilities organizations have with redundancy and threat mitigation.