Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Top Observability tools for DevOps Engineers and SREs

Better visibility is the first step to improved system stability. Our latest blog outlines Top Observability tools for DevOps Engineers & SREs to help you get started on your journey to gain valuable insights into your infrastructure. “We can't fix something which we can't observe” - whether it's a steam engine or a complex microservice based cloud deployment, great observability makes troubleshooting things easier.

FlashDrive's mission

This is everything you need to know about FlashDrive, and how it can help you reduce your infrastructure costs while improving your applications' responsiveness and overall quality. FlashDrive is a Docker cloud hosting service constituted in a network of high availability clusters located in North America and Europe. To completely understand what FlashDrive is and how it can help you, let's first talk about the Docker cloud, containers, and the purpose of containerization.

Heroku vs AWS: What to choose as a startup?

Cloud computing sometimes spoils one with choices. Let's just take a look at a couple of common cloud services. You can use cloud services to deploy and scale web and mobile apps besides monitoring them. AWS and Heroku provide cloud computing resources. AWS is from Amazon, while Heroku is from Salesforce. In this article, let us see which one is better to use from the start-up perspective.

Track Datadog metrics in Sleuth

Data from monitoring tools like Datadog are useful for developers to help them understand whether the code they've deployed is healthy or needs to be fixed or rolled back, or when there is an incident to investigate. As a deployment mission control, Sleuth helps developers see metrics data from a developer-centric point of view - by deployment - and interpret such data for them. ‍‍

Building a Cloud Strategy with Kubernetes

Enterprises are increasingly trying to leverage diversified cloud infrastructures. Specifically, to scale as business demand varies. So, how can you scale your applications to meet customer demands? The answer is you want to deploy your software on-premises or to a specific public cloud, based on business value. Kubernetes is the answer to your cloud strategy and it provides a holistic solution that simplifies the deployment, management, and operational tasks. Write to us: contact@ziniosedge.com

Hindsight is 2020: How we learned to swim in the river

Come December, it’s traditional in the industry to meditate on emerging trends and make predictions about how these will shape the year to come. I have my fair share of prognostications for 2021, but I want to take this moment to reflect on a year that could never have been predicted.

What to Expect from DevOps in 2021

As we move into the next year, we are hoping for a return to relative normalcy. That goes for our personal lives, social lives, and professional lives. Professionals have acclimated to the situation, or now see a return to relative normalcy just around the corner with the development of vaccines. And despite the wait, different industries and the DevOps community in particular have persisted.

SDLC Security: It's Personal for JFrog

The SolarWinds hack, which has affected high-profile Fortune 500 companies and large U.S. federal government agencies, has put the spotlight on software development security — a critical issue for the DevOps community and for JFrog. At a fundamental level, if the code released via CI/CD pipelines is unsafe, all other DevOps benefits are for naught.

Improve DevOps Workflows Using SMLE and Streaming ML to Detect Anomalies

Modern IT & DevOps teams face increasingly complex environments — making it harder to quickly detect and resolve critical issues in real-time. To overcome this challenge, Splunk users can take advantage of ML-powered IT monitoring and DevOps solutions available in a scalable platform with state-of-the-art data analytics and AI/ML capabilities. In this blog, we deploy Splunk’s built-in Streaming ML algorithms to detect anomalous patterns in error logs in real-time.