Making Microservices Just the Right Size [MDB Weekly]
Microservices come in a variety of sizes. How can we determine the ideal size — the "Goldilocks Size" — for our microservices?
20
Feb 2023
13
Feb 2023
Just-in-Time Permissions in Microservices-Based Applications [MDB Weekly]
How do you perform privileged production activities when those working on the issue do not have privileged access? Permissions escalation!
6
Feb 2023
Keep Microservices Secure—Even from Themselves [MDB Weekly]
There are many things you can do to keep microservices secure, including these two critical but often overlooked security strategies.
2
Feb 2023
The Long March: Cloud Native Panel Discussion
Listen to a discussion from Predict 2023 in which I joined other industry experts to discuss the future of cloud-native technologies.
31
Jan 2023
What’s in Store for DevOps in 2023?
Listen to a panel discussion about DevOps in 2023. What are the emerging DevOps practices and technologies shaping the future of business?
30
Jan 2023
Cloud-Native Apps and Nuclear Submarines [MDB Weekly]
What on earth do cloud-native applications have in common with nuclear submarines? When it comes to security, turns out a lot.
26
Jan 2023
Independent Third-Party Observability with Jeff Martens, CEO of Metrist [podcast]
Using a third-party application can be an observability black hole. But one third-party observability platform hopes to solve this problem.
23
Jan 2023
Use Isolation Zones to Secure Cloud-Native Applications [MDB Weekly]
Bad actors abound online, and securely maintaining your cloud-native apps is no easy task. Learn about one technique that's often overlooked.
16
Jan 2023
Best Practices for Managing Configurations in Cloud-Native Applications [MDB Weekly]
How much choice should you give your development teams in building their cloud-native applications? The answer is not as simple as it seems.
12
Jan 2023
Testing at Scale with Nate Lee of Speedscale [podcast]
Testing applications at scale is no easy task. I talk with the co-founder of one company that's trying to solve the "testing at scale" problem.