StackState

Boston, MA, USA
2015
  |  By Dr. Jan-Gerd Tenberge
In one of our latest posts, StackState Co-Founder Mark Bakker described how eBPF revolutionizes observability and how StackState’s agents rely heavily on eBPF to capture and analyze the data moving through your cluster. Today, we’re looking at an example where our eBPF code failed and — by diving deep into the intricacies of eBPF implementation in the Linux kernel — share the tale of how we fixed it using even more eBPF.
  |  By Mark Bakker
In the complex and fast-paced world of application deployment, getting a handle on the tangle of services and resources can sometimes feel like trying to find your way through a maze without a map. And if something goes wrong, trying to find out what's happening where is even more difficult. With alert emails flooding in and questions flying left and right, identifying the glitch that's causing issues can seem like a Herculean feat.
  |  By Andreas Prins
A few days ago, I challenged myself: Could I create a CPU throttling monitor without using StackState's docs page? I'll go a bit deeper into CPU throttling later, but first: Why this mission? At StackState, we believe that every software developer should be able to observe the health and reliability of their own application — quickly and easily.
  |  By Mark Bakker
Many companies are using cloud technologies to become more agile, scalable, and cost-effective during their digital transformation. However, this change brings new challenges in maintaining the security and performance of applications and infrastructure in the cloud. Security and observability go hand-in-hand.
  |  By Mark Bakker
Whether you're a system administrator, a developer, or any other DevOps or Site Reliability Engineering (SRE) professional, you know that staying ahead in cloud-native computing is crucial. One way to keep your competitive edge in the technology game is to embrace the benefits of eBPF (Extended Berkeley Packet Filter). On top of advances in security and networking, eBPF-based tools are particularly impacting the observability landscape.
  |  By Andreas Prins
No one wants to get an alert in the middle of the night. No one wants their Slack flooded to the point of opting out from channels. And indeed, no one wants an urgent alert to be ignored, spiraling into an outage. Getting the right alert to the right person through the right channel — with the goal of initiating immediate action — is the last mile of observability.
  |  By Andreas Prins
Imagine a symphony where every musician plays their part flawlessly, but without a conductor to guide the orchestra, the result is just a discordant mess. Now apply that image to the modern IT landscape, where development and operations teams work with remarkable autonomy, each expertly playing their part. Agile methodologies and DevOps practices have empowered teams to build and manage their services independently, resulting in an environment that accelerates innovation and development.
  |  By Jeroen van Erp
With the recent integration between SUSE and StackState, SUSE customers will benefit from the enhanced observability StackState offers for their applications running on SUSE’s diverse Kubernetes distributions. As businesses increasingly rely on Kubernetes, ensuring the stability and performance of applications becomes of great importance.
  |  By Andreas Prins
This is the final article of a three-part series. To start at the beginning, read Part 1: Benefiting from multi-cluster setups requires familiarity with common variations and Part 2: Exploring the facets of a multi-cluster observability strategy. As companies scale software production, they lean on Kubernetes as a crucial container orchestration platform for managing, deploying and ensuring software availability.
  |  By Nov 30
This is the second of a three-part blog series. Prior to reading this, be sure to check out Part 1, Benefiting from multi-cluster setups requires familiarity with common variations. In your Kubernetes journey, it's highly likely that you'll encounter the need to manage multiple clusters simultaneously.
  |  By StackState
The 4 Benefits of Topology-Powered Observability and the real-world customer stories behind them.
  |  By StackState
The move to the cloud creates massive opportunities to deliver great applications and experiences to customers and employees, but it also comes with a new set of complexities. These new environments, powered by containers and microservices, among others, are dynamic and ever-changing. The old ways of monitoring don't apply anymore-but the need to ensure the reliability and performance of your applications is more important than ever.
  |  By StackState
IT executives are being invited to play critical, strategic roles in the enterprise. The combination of disruptive threats, transformational momentum, and the pandemic that accelerated both have thrust you into the limelight. But these same drivers have also made your job exponentially more challenging. The need for technology to play a strategic role in every nook and cranny of the enterprise has resulted in a far-flung, ever-more-complex, and dynamic technology stack - that you must operate flawlessly to deliver competitive advantage.
  |  By StackState
In recent years, the concept of Observability has arisen in an attempt to address the persistent risk to a company's digital experiences and business applications as IT environments continue to become more complex and more dynamic. Relationship-Based Observability breaks new ground by adding 3 new capabilities to help companies detect, prevent, and rapidly resolve incidents. Read this white paper to learn about what's missing in your observability solutions and how you can close the gaps.
  |  By StackState
A 3-Step Approach for Gaining Control in Fast-Moving IT Landscapes The ever increasing complexity in your IT landscape is diminishing your company's productivity. As a response, many teams use 'observability' to get control over the fast-moving IT landscapes. However, when IT incidents strike, actionable insights to resolve incidents instantly are still siloed. Traditional observability is falling short and still too siloed. In this white paper, you will learn how you can improve traditional observability and find the right strategy to prevent outages and crush your MTTR.
  |  By StackState
According to a survey by Enterprise Management Associates, most enterprises find it difficult to find the right monitoring strategy to manage their environments. At the same time, over 65% of enterprises have more than 10 monitoring tools. These monitoring tools run as siloed solutions to support specific needs for different teams.
  |  By StackState
Monitoring needs a radical rethink. The complexity and agility of today's emerging infrastructure demand a new monitoring strategy. The simple and mostly static drill-down approach of traditional monitoring tools no longer works for modern infrastructures based on containers and microservices. Take the first step towards container monitoring by downloading this guide now.

StackState is the only observability company with a platform that combines topology with existing monitoring data over time. Our topology-powered approach provides the most complete picture of the state of your stack and the intelligence you need to quickly find, fix and prevent problems. StackState improves the performance and reliability of your critical business services in complex hybrid, cloud and container environments.