Netflix, Amazon, Google, Facebook, and a host of other companies have adopted chaos engineering, which encourages designing systems to proactively ward off potential issues through testing and the anticipation of failure. When it comes to container orchestration tools like Kubernetes, chaos engineering is a vital tactic for enhancing security.
All programming languages provide efficient data structures that allow you to logically or mathematically organize and model your data. Most of us are familiar with simpler data structures like lists (or arrays) and dictionaries (or associative arrays), but these basic array-based data structures act more as generic solutions to your programming needs and aren’t really optimized for performance on custom implementations. There’s much more than programming languages bring to the table.
My favorite ice cream store is just off Richmond Green, close to where I live in West London. On sunny days, locals queue around the block to buy their fantastic gelatos and sorbets. Every one of their customers knows that they could easily nip into the supermarket around the corner to buy hermetically sealed chocolate ice cream, but they queue anyway. Why?
Fulfillment pipelines for order management in e-commerce have a lot of intricate moving parts that depend on one another. Sales orders, fulfillment, negotiation, shipment, and receipt are closely interconnected but require different actions while depending on one another closely. You also need messaging around order statuses, conditions, actions, rules, and inventory, just to name a few of the important parts of these complex systems.
We recently released Catchpoint’s SRE Report 2020 that analyzed results from the SRE survey we conducted early this year along with a recent addendum survey. The report offers a detailed look at the current state of SRE and how the shift to an all-remote work environment has impacted SRE teams. In this blog, we take a deeper look at one of the report highlights – ‘Heavy Ops Workload Comes at a Cost’.
PagerDuty sat down with J. Paul Reed, a Senior Applied Resilience Engineer at Netflix, for an Ask Me Anything (AMA) to discuss best practices around postmortems. Reed is a prominent speaker and advocate of DevOps and operations complexity, and has over 15 years of experience in release engineering. His background in tech, along with his previous work at companies like Mozilla and VMware, give him a unique perspective into the inner workings of innovative organizations.
This post continues this two-part blog series on further understanding the differences between macOS and Windows on the system level for effective endpoint security analysis. In Part 1, we covered process events. Here in Part 2, we’ll discuss file and network events. As with Part 1, my hope is to help cybersecurity professionals expand and enrich their experiences on a less familiar platform, ultimately helping them to be better prepared to face differences from past experiences.
We recently announced that Elastic Enterprise Search — our combined solution of search products — is now available to deploy as a single solution on Elastic Cloud. While Elastic App Search has been available on Elastic Cloud since early 2020, this is a new and exciting deployment option for Elastic Workplace Search.
When first looking into serverless migration and its architecture, it can feel like you’re staring down an endless shopping aisle of critical serverless tools that all need to be put into your basket straight away. Some services seem to offer the same function, while others can feel wildly different - both, as a result, can instill some doubts as to what is really necessary for your business and serverless application.
