Operations | Monitoring | ITSM | DevOps | Cloud

Architecting Cloud Instrumentation

Architecting cloud instrumentation to secure a complex and diverse enterprise infrastructure is no small feat. Picture this: you have hundreds of virtual machines, some with specialized purposes and tailor-made configurations, thousands of containers with different images, a plethora of exposed endpoints, s3 buckets with both public and private access policies, backend databases that need to be accessed through secure internet gateways, etc.

Debunking Misconceptions: Amazon Prime Video's Approach to Microservices and Serverless

This is the second blog in our deep dive series on serverless architectures. In the first installment, we explored the benefits and trade-offs of microservices and serverless architectures, highlighting the case of Amazon Prime Video's architectural redesign for cost optimization.

Docker Container Lifecycle Management

Managing an application's dependencies and tech stack across numerous cloud and development environments is a regular difficulty for DevOps teams. Regardless of the underlying platform it uses, it must maintain the application's stability and functionality as part of its regular duties. However, one possible solution to this problem is to create an OS image that already contains the required libraries and configurations needed to run the application.

Observability vs. Monitoring: Understanding the Differences

This post was written by Siddhant Varma. Scroll down to read the author’s bio. Software development isn’t just about building and deploying software. There’s a wide range of operations and activities you need to tackle even after you’ve successfully deployed it. The two most common are observability and monitoring. While they’re similar in a lot of ways, it’s important to understand that they are not exactly the same, and each has its own purpose.

The Unplanned Show, Episode 5: DataOps with Snowflake

Long gone are the days when data is batch loaded into a data warehouse for business intelligence reports that are looked at periodically and if something is broken, a few internal people would have to wait. Today, data pipelines are “infinitely more complicated”, with more sources from cloud services to on premises systems, and supporting data applications that are critical parts of a business’ ecosystem.

Spotting Vulnerabilities at Rest and at Runtime feat. Cloudsmith and Sysdig

The rise and popularity of containers and Kubernetes have revolutionised the IT industry but also introduced a lot of complexity including a huge number of vulnerabilities coming from different container image layers. To master those vulnerabilities both DevOps and Security teams are struggling to prioritise and address them, often without sufficient clarity or accountable insights.