The document discusses three AIOps technologies: Lambda, Kappa, and Zeta. It describes Lambda architecture, which processes data through parallel batch and real-time streams to provide consistent views with low latency. The architecture achieves scalability and performance through immutable data storage, denormalized data structures, and precomputed views. It also lists the basic tenets that enable Lambda's scalability, such as immutable data, data denormalization, and precomputed views.

1. Lambda (λ), Kappa (κ)
and Zeta (ζ) – The Tale
of 3 AIOps Musketeers
www.zif.ai

2. The evolution of the technologies in
Big Data in the last decade has
presented a history of battles with
growing data volume. A well-
designed big data architecture must
handle the 6 V’s of Big Data, save
your company money, and help predict
future trends.
Big Data
Architectural patterns
www.zif.ai

3. LAMBDA (Λ)
ARCHITECTURE
The Lambda Architecture λis an emerging
paradigm in Big Data computing. The
name lambda architecture is derived from
a functional point of view of data
processingi.e. all data processing is
understood as the application of a
function to all data.
The efficiency of this
architecture becomes evident
in the form of increased
throughput, reduced latency,
and negligible errors, thus
resulting in a linearly scalable
architecture that scales out
rather than scaling up.
www.zif.ai

4. BASIC TENETS
OF LAMBDA
ARCHITECTURE
The Lambda Architecture
achieves high scalability and
low latency due to the
following principles
IMMUTABILITY OF DATA
DATA DENORMALIZATION
PRECOMPUTED VIEWS
www.zif.ai

5. ZERO INCIDENT FRAMEWORK
GAVS Technologies N.A., Inc
116 Village Blvd, Suite 200, Princeton,
New Jersey 08540, USA
Tel: +1 609 951 2256/7
Fax: +1 609 520 1702
www.zif.ai