Operations | Monitoring | ITSM | DevOps | Cloud

Logs are valuable. Logs generated by a major backend resource that provides clients with access to crucial data are more than just valuable; knowing where they are and being able to manage and understand the information that they contain can mean the difference between smooth, secure operation and degraded performance or even catastrophic failure for your application. MySQL Server produces a handful of basic logs.

As service architectures have transitioned from the monolith to microservices, one of the tougher problems that organizations have had to solve is service discovery and load balancing. The advent of service mesh technologies seeks to solve these and other problems exacerbated by the number of hosts that has grown exponentially. In this article, we’re going to explore what a service mesh is.

In this post, we continue our discussion of use cases involving account take over and credential access in enterprise data sets. In the first part of this series, we introduced the definition of a VIP account as any account that has privileged or root level access to systems/services. These VIP accounts are important to monitor for changes in behavior, particularly because they have critical access to key parts of the enterprise.

At its core, DevOps is a set of principles. There are certain types of tools and processes that reinforce those principles and put them into practice. But the tools and processes are just a means to an end. The end itself is DevOps principles. Thus, DevOps success boils down to understanding the key DevOps principles, then identifying the tools and processes that enable your team to achieve them.

DevOps is an approach to software development and delivery that emphasizes collaboration between different stakeholders. DevOps also places priority on automation and the integration of different tools in a single, well-oiled pipeline. Ultimately, DevOps boils down to cultural values and goals. When it comes to tooling and processes, there is no one right way to “do” DevOps; a variety of different approaches are possible.

NoSQL technology has become more popular in recent years thanks to the development of new open-source NoSQL databases that are relatively easy to install, use and integrate with web frameworks. An example of one of those popular frameworks on the internet is known as MEAN (MongoDb, Express.js, Angular.js, Node.js). These NoSQL frameworks have become very popular for things such as content management, catalogs and big data in general.

A new kind of spam is being observed in the field that uses the browser notification feature to trick users into subscribing to sites that will in turn bombard users with notifications usually related to click or add profit schemes. Subscription notification request seen below: Browser notification subscription requests are a legitimate feature that allows visitors of a site to be notified when there is new content available. It saves users the need to constantly refresh or keep open browser tabs.

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.

Detecting malicious activity is rarely easy, but some attacker methods are more challenging to detect than others. One of the most vexing techniques to counter is credential theft. Attackers that gain control over a user account have access to the assets of that user. If the credentials are for an account with special privileges, like a system administrator, then the attacker may be able to gain access to system-wide resources and even be able to change logs to cover their tracks.

In the fast-moving and demanding world of software development, it is critical for organizations to utilize solutions that help streamline server setup in a scalable and affordable manner. Serverless computing solutions were developed in response to these requirements.