StackState Blog

Mark Bakker

Mark founded StackState early 2015 together with Lodewijk Bogaards and the Xebia Group. Mark is a visionary and has been an IT architect/ engineer/ developer for over 15 years. Mark joined Xebia in 2007. Before joining Xebia he had a company in computers and networks for 8 years. In his spare time Mark has been chairman of a realty development trust which led in the development of 7 houses.
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Recent Posts

How to monitor a Kubernetes environment - Part 3

Posted by Mark Bakker on Mar 30, 2017 10:15:05 AM


This post is part 3 in a 4-part series about Container Monitoring. Post 1 dives into some of the new challenges containers and microservices create and the information you should focus on. Post 2 describes how you can monitor your Mesos cluster. This article describes the challenges of monitoring Kubernetes, how it works and what this means for your monitoring strategy. 

What is Kubernetes?

Kubernetes is a powerful orchestration system, developed by Google, for managing containerized  applications in a (private) cloud environment. Kubernetes is able to automate the deployment,  management and scaling of containerized applications and services. Kubernetes provides the  infrastructure to build a truly container-centric development and operations environment.
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Topics: Dev/Ops, Integrations, Monitoring, Virtualization, Technologies, ITOA

Monitor Mesos with StackState - Part 2

Posted by Mark Bakker on Mar 22, 2017 3:00:02 PM


This post is part 2 in a 4-part series about Container Monitoring. Post 1 dives into some of the new challenges containers and microservices create and the information you should focus on. This article describes how to monitor your Mesos cluster.


Apache Mesos is a distributed systems kernel at the heart of the Mesosphere DC/OS and is designed for operations at very large scale. It abstracts the entire data center into a single pool of computing resources, simplifying running distributed systems at scale.


Mesos supports different types of workloads to build a truly modern application. These distributed workloads include container orchestration (like Mesos containers, Docker and Kubernetes), analytics (Spark), big data technologies (Kafka and Cassandra) and much more.


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Topics: Dev/Ops, Integrations, Monitoring, Virtualization, Technologies, ITOA

The Container Monitoring Problem - Part 1

Posted by Mark Bakker on Mar 15, 2017 5:59:29 PM


This post is part 1 in a 4-part series about Docker, Kubernetes and Mesos monitoring. This article dives into some of the new challenges containers and microservices create and the metrics you should focus on. Part 2 explains how to monitor your Mesos cluster. 


Containers are a solution to the problem of how to get software to run reliably when moved from one environment to another. It’s a lightweight virtual machine with a purpose to provide software isolation.


So why are containers such a big deal?

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Topics: Dev/Ops, Monitoring, Provisioning, Technologies

Automate incident investigation to save money and become proactive

Posted by Mark Bakker on Mar 1, 2017 4:16:42 PM


How many hours did your best engineers spent investigating incidents and problems last month? Do those engineers get a big applause when they solved the issue? Most likely the answers are “a lot” and “yes”…


The reason that problem and incident investigation is hard, is because usually you have to search through multiple tools, correlate data from all those tools and interpret this data.

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Topics: Dev/Ops, ITSM, ITOA

The model behind a dynamic real time IT blueprint

Posted by Mark Bakker on Jun 23, 2016 2:55:17 PM


StackState captures topology info, telemetry info and log info and combines that into a real time model of your IT stack.


The StackState real time model

StackState is designed to manage complex IT stacks with millions of constantly changing components to handle today’s complex environments. In modern enterprises DevOps practices, micro services architectures and containers are common. The StackState platform is designed to handle millions of concurrent data streams, which are automatically correlated with the corresponding components and business services.


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Topics: Product, Dev/Ops, ITSM

Are all those IT Ops tools driving you crazy?

Posted by Mark Bakker on Feb 22, 2016 4:42:56 PM


Every IT Ops should know about sizing, utilization, about monitoring, metrics, provisioning and knowing every single thing what's going on inside the datacenter. To understand the big picture you need to jump from tool to tool and try to consolidate all the available information. Can you still see the wood for the trees?


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Topics: Dev/Ops, ITSM

Are SLAs in IT Service Management dead?

Posted by Mark Bakker on Feb 1, 2016 2:43:21 PM


Service Level Agreements (SLAs) have long been used for quick and accurate views on overall performance. They provide technical, input-based metrics (uptime counts, downtime, response time, etc.) that highlight areas of strength and weakness. But what do these SLA metrics really mean to your business? Do the outcomes direct actions that result in a happy customer?


Not necessarily.  SLAs are most of the times technical. They don’t directly relate to your customer and so, measuring them alone is an outmoded practice. To understand what is happening with your business and what it means to your customer today, you need to focus on monitoring business services AND experience.

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Topics: ITSM

StackState present at DevOpsDays Silicon Valley 2015

Posted by Mark Bakker on Oct 21, 2015 3:32:00 PM


StackState is proud to be a Gold Sponsor of DevOpsDays Silicon Valley 2015. The conference will be held November 6 and November 7 in the Computer History Museum, Silicon Valley.

The conference, which is now organized frequently around the globe, is for bridging the gap between developers and operations. DevOpsDays is an event for folks in the field connecting, sharing stories, advice, ideas and tools relating to DevOps.

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Topics: News

Autonomy (in Dev/Ops tooling) does not equate loss of control

Posted by Mark Bakker on Aug 25, 2015 11:24:00 AM


Why are organizations moving to a Dev/Ops model of working?

In my opinion there is one main driver for this:

Bringing dev and ops (and – if possible – the business) together in a team helps the team to focus on their contribution to a specific business function in the company. There is no more need for specialization in the sense that the teams only do things based on specific technologies. Dev/Ops teams will now be able to really focus on business value. First this helps companies to become more agile and lean while constantly removing bottlenecks. Secondly Dev/Ops teams can make their part of the business work as smoothly as possible.

Having said so, how important is it that teams have the ability to support their part of the business chain? Should they all use the same kind of tools between different teams, just because there is some architect which tells them so? Or should they have their freedom in choosing the technologies/products their need to support their acquirements in the way they think is best?


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Topics: Dev/Ops

The Monitoring Maturity Model explained

Posted by Mark Bakker on Aug 11, 2015 8:59:00 AM


The pace of change is increasing. Component sizes are shrinking. All the while monitoring solutions are bombarding us with log data, metrics, status reports and alerts. It all scales, but we don’t. How do we prevent from drowning in run-time data?


A lot of companies are facing the same problem. They have such a huge amount of data, but can’t get a total unified overview. When problems occur in their IT stack, they don’t know where it originates. Was it a change, an overload, an attack or something else? Based on our experience, we created the Monitoring Maturity Model. At which level is your company now?

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Topics: Dev/Ops, ITSM

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To simplify the lives of IT managers, Operators and Developers

To accomplish this, we created a Full Stack IT Operations Platform. It aggregates information from a multitude of sources and existing Dev/Ops tools to provide a unique insight into the health of the entire IT stack and to find root causes of problems across tools, teams and departments. Validate the effects of changes before applying them. Not only for one type of system, but for the full stack regardless of its size.

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