Operations | Monitoring | ITSM | DevOps | Cloud

Like every industry sector, 2020 has been a tough year in tech. The pandemic has changed the way we work, it’s changed the way our customers work, and it’s been a rollercoaster ride. In August 2020, IDC’s Global ICT Spending Forecast 2020 – 2023 predicted 2020 revenue in the sector would fall to $4.8 trillion compared to its original estimate of $5.2 trillion.

Have you ever wanted to try K3s high availability cluster “mode,” and you either did not have the minimum three “spare nodes” or the time required to set up the same amount of VMs? Then you are in for a good treat: meet k3d! If you’re not familiar with k3d, its name gives you a hint to what it’s all about: K3s in Docker.

Service Mesh is an emerging architecture pattern gaining traction today. Along with Kubernetes, Service Mesh can form a powerful platform which addresses the technical requirements that arise in a highly distributed environment typically found on a microservices cluster and/or service infrastructure. A Service Mesh is a dedicated infrastructure layer for facilitating service-to-service communications between microservices.

Route SSH connections through HAProxy using the SSH ProxyCommand feature and SNI. Did you know that you can proxy SSH connections through HAProxy and route based on hostname? The advantage is that you can relay all SSH traffic through one public-facing server instead of needing to grant users direct access to potentially hundreds of internal servers from outside the network.

Remote teams that work on dependent products face resource crunches and delays. When several teams work on interrelated projects, the chances are high that they will soon end up meeting at some point where they have to wait for resource release from another team or teams. For instance, when team A wants an update to an app currently maintained by Team B, they would want to automatically access the latest version of the app whenever a new bug is fixed and an update is made.

The way we all work fundamentally changed during 2020. The global pandemic has accelerated the pace of digital evolution for many businesses, while prompting others to pivot or change course completely. The response to the crisis will continue well into 2021, but as we edge closer to the end of the year, many organisations will already be thinking about the longer term impact of the pandemic and how to realign their business for growth.

There is no doubt that organizations have a difficult task to address the current requirements for building and managing APIs, especially if they don’t use tools like API Management. APIs require up-to-date and strong documentation, increased security levels, comprehensive testing, routine versioning, and high-reliability to be appropriately utilized.

Elasticsearch is an open source, distributed document store and search engine that stores and retrieves data structures. As a distributed tool, Elasticsearch is highly scalable and offers advanced search capabilities. All of this adds up to a tool which can support a multitude of critical business needs and use cases. To follow are ten of the key Elasticsearch configurations are the most critical to get right when setting up and running your instance.