Logs, metrics and traces are the three pillars of the Observability world. The distributed tracing world, in particular, has seen a lot of innovation in recent months, with OpenTelemetry standardization and with Jaeger open source project graduating from the CNCF incubation. According to the recent DevOps Pulse report, Jaeger is used by over 30% of those practicing distributed tracing.
Holler is a messaging tech company that enriches conversations everywhere by creating and delivering useful, entertaining, expressive visual content to add texture and emotion to messaging environments. As the company has continued to grow, the engineering organization has scaled to meet the demand for its services. However, without a fully staffed Operations team, most of the engineers at Holler perform double duty across DevOps to keep the service performant for consumers.
At Logz.io, we’ve built our Log Management solution on the ELK Stack because we know it’s what modern engineering teams prefer. It’s familiar, powerful, and integrates easily with other DevOps and cloud technologies. That’s what makes migrating from ELK to Logz.io a seamless process. This means current ELK users can easily transition to Logz.io. If you’re currently using ELK, you can ship the same data using exactly the same shipping mechanisms.
At OpenObservability, we had the pleasure to sit down with Andre Boutet, the Senior Director of Cloud Operations and Services for OneSpan. Andre had a conversation with our CTO, Jonah Kowall, around what observability means to his team and his organization. Teaser: It’s not just about ensuring uptime and availability for external systems. It’s a philosophy with a foundation on supporting the entire development lifecycle.
With open source in our roots, we’re always excited about integrations with tools like OpenVAS, a popular open source vulnerability scanner that Greenbone Networks has maintained since 2009. If you’re not currently using OpenVAS, you can find the project here. OpenVAS contains more than 50,000 vulnerability tests with a community constantly updating its feed to adapt to the ever-evolving security landscape.
Searches are integral parts of any application. Performing searches on terabytes and petabytes of data can be challenging when speed, performance, and high availability are core requirements. This blog post will pit Solr vs Elasticsearch, two of the most popular open source search engines whose fortunes over the years have gone in different directions. Both of them are built on top of Apache Lucene, so the features they support are very similar.
Production environment stability and high availability are the holy grail of every SaaS company. R&D organizations put a lot of effort into achieving these goals by implementing different monitoring and alert methodologies and by utilizing a variety of systems and tools. Mean-time-to-detect (MTTD) and mean-time-to-repair (MTTR) are two crucial KPIs that help R&D management personnel determine the efficiency and proficiency of their teams’ responses to production incidents.
Today’s monitoring investments align more often with automation than any other technology. Automation is one of the principal objectives of DevOps to reduce toil, i.e. manual work. This helps keep engineers happy and engaged, allowing for better scale in building and operating applications. Automation typically spans infrastructure and application technologies. The challenge is that many organizations just have too many automation tools.
