The observability landscape is changing fast, as organizations look to deploy applications and separate themselves from competition at a breakneck pace. What are the trends organizations need to be aware of as they make sense of the landscape? Every year, we at Logz.io set out to answer this question by going right to the DevOps and observability practitioners on the front lines.
Managing observability data can feel like a juggling act. Modern cloud applications generate vast amounts of data, and quickly accessing the most important data is a fundamental step toward quickly gaining unobstructed visibility into your infrastructure and applications. Yet, when data volumes grow, complexity follows. Many observability users find it overwhelming to assess the critical data generated from their complex infrastructure and applications.
Cost optimization has been one of the hottest topics in observability (and beyond!) lately. Everyone is striving to be efficient, spend money wisely, and get the most out of every dollar invested. At Logz.io, we recently embarked on a very interesting and fruitful data volume optimization journey, reducing our own internal log volume by a whopping 50%. In this article, I’ll tell you how exactly we achieved this result.
We’ve just recently completed KubeCon + CloudNativeCon Europe 2023 in Amsterdam, one of the signature events of the year in the cloud native, open source and observability spaces. I was thrilled to be joined by Taylor Dolezal, the Head of Ecosystem for the hosting Cloud Native Computing Foundation (CNCF) to discuss the insider happenings of KubeCon EU live from Amsterdam for the April 2023 OpenObservability Talks podcast.
Evolving DevOps maturity, mounting Mean-Time-to-Recovery (MTTR), and perplexing cloud environments – all these factors are shaping modern observability practices according to approximately 500 observability practitioners. While every organization faces its unique challenges, there are broadly impactful trends that arise.
A quick look at headlines emanating from this year’s sold out KubeCon + CloudNativeCon Europe underlines the fact that Kubernetes security has risen to the fore among practitioners and vendors alike. As is typically the case with our favorite technologies, we’ve reached that point where people are determined to ensure security measures aren’t “tacked on after the fact” as related to the wildly-popular container orchestration system.
In March of 2022, Elastic decided to close source the most popular log management and analytics solution in the world: the ELK Stack. Millions chose ELK as their logging platform and made it the heart of their troubleshooting operations because it was open source. And suddenly, it wasn’t – leaving many looking for other options. Shortly after, AWS launched OpenSearch and OpenSearch Dashboards as open source alternatives to Elasticsearch and Kibana, respectively.
The shortcoming of traditional SIEM implementations can be traced back to big data analytics challenges. Fast analysis requires centralizing huge amounts of security event data in one place. As a result, many strained SIEM deployments can feel heavy, require hours of configuration, and return slow queries. Logz.io Cloud SIEM was designed as a scalable, low-maintenance, and reliable alternative. As a result, getting started isn’t particularly hard.
If you’re in need of new SIEM tooling, it can be more complicated than ever to separate what’s real and what’s spin. Yes, Logz.io is a SIEM vendor. But we have people in our organization with years of cybersecurity experience, and they wanted to share thoughts on how best to address the current market. Our own Matt Hines and Eric Thomas recently hosted a webinar running through what to look out for titled: Keep it SIEM-ple: Debunking Vendor Nonsense. Watch the replay below.
KubeCon Europe 2023 will be held in Amsterdam in April, with many exciting updates and discussions to come around projects from the Cloud Native Computing Foundation (CNCF). That’s why I was thrilled to host Chris Aniszczyk, the CTO of the CNCF on the March 2023 episode of OpenObservability Talks. We had a wide-ranging, free-flowing conversation that touched on all things cloud native, observability and the future of our space.
